Displaying 1 - 35 of 35
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Braden, R. O., Amor, D. J., Fisher, S. E., Mei, C., Myers, C. T., Mefford, H., Gill, D., Srivastava, S., Swanson, L. C., Goel, H., Scheffer, I. E., & Morgan, A. T. (2021). Severe speech impairment is a distinguishing feature of FOXP1-related disorder. Developmental Medicine & Child Neurology, 63(12), 1417-1426. doi:10.1111/dmcn.14955.
Abstract
Aim
To delineate the speech and language phenotype of a cohort of individuals with FOXP1-related disorder.
Method
We administered a standardized test battery to examine speech and oral motor function, receptive and expressive language, non-verbal cognition, and adaptive behaviour. Clinical history and cognitive assessments were analysed together with speech and language findings.
Results
Twenty-nine patients (17 females, 12 males; mean age 9y 6mo; median age 8y [range 2y 7mo–33y]; SD 6y 5mo) with pathogenic FOXP1 variants (14 truncating, three missense, three splice site, one in-frame deletion, eight cytogenic deletions; 28 out of 29 were de novo variants) were studied. All had atypical speech, with 21 being verbal and eight minimally verbal. All verbal patients had dysarthric and apraxic features, with phonological deficits in most (14 out of 16). Language scores were low overall. In the 21 individuals who carried truncating or splice site variants and small deletions, expressive abilities were relatively preserved compared with comprehension.
Interpretation
FOXP1-related disorder is characterized by a complex speech and language phenotype with prominent dysarthria, broader motor planning and programming deficits, and linguistic-based phonological errors. Diagnosis of the speech phenotype associated with FOXP1-related dysfunction will inform early targeted therapy. -
Carrion Castillo, A., Estruch, S. B., Maassen, B., Franke, B., Francks, C., & Fisher, S. E. (2021). Whole-genome sequencing identifies functional noncoding variation in SEMA3C that cosegregates with dyslexia in a multigenerational family. Human Genetics, 140, 1183-1200. doi:10.1007/s00439-021-02289-w.
Abstract
Dyslexia is a common heritable developmental disorder involving impaired reading abilities. Its genetic underpinnings are thought to be complex and heterogeneous, involving common and rare genetic variation. Multigenerational families segregating apparent monogenic forms of language-related disorders can provide useful entrypoints into biological pathways. In the present study, we performed a genome-wide linkage scan in a three-generational family in which dyslexia affects 14 of its 30 members and seems to be transmitted with an autosomal dominant pattern of inheritance. We identified a locus on chromosome 7q21.11 which cosegregated with dyslexia status, with the exception of two cases of phenocopy (LOD = 2.83). Whole-genome sequencing of key individuals enabled the assessment of coding and noncoding variation in the family. Two rare single-nucleotide variants (rs144517871 and rs143835534) within the first intron of the SEMA3C gene cosegregated with the 7q21.11 risk haplotype. In silico characterization of these two variants predicted effects on gene regulation, which we functionally validated for rs144517871 in human cell lines using luciferase reporter assays. SEMA3C encodes a secreted protein that acts as a guidance cue in several processes, including cortical neuronal migration and cellular polarization. We hypothesize that these intronic variants could have a cis-regulatory effect on SEMA3C expression, making a contribution to dyslexia susceptibility in this family. -
Den Hoed, J., Devaraju, K., & Fisher, S. E. (2021). Molecular networks of the FOXP2 transcription factor in the brain. EMBO Reports, 22(8): e52803. doi:10.15252/embr.202152803.
Abstract
The discovery of the FOXP2 transcription factor, and its implication in a rare severe human speech and language disorder, has led to two decades of empirical studies focused on uncovering its roles in the brain using a range of in vitro and in vivo methods. Here, we discuss what we have learned about the regulation of FOXP2, its downstream effectors, and its modes of action as a transcription factor in brain development and function, providing an integrated overview of what is currently known about the critical molecular networks. -
Den Hoed, J., De Boer, E., Voisin, N., Dingemans, A. J. M., Guex, N., Wiel, L., Nellaker, C., Amudhavalli, S. M., Banka, S., Bena, F. S., Ben-Zeev, B., Bonagura, V. R., Bruel, A.-L., Brunet, T., Brunner, H. G., Chew, H. B., Chrast, J., Cimbalistienė, L., Coon, H., The DDD study, Délot, E. C. and 77 moreDen Hoed, J., De Boer, E., Voisin, N., Dingemans, A. J. M., Guex, N., Wiel, L., Nellaker, C., Amudhavalli, S. M., Banka, S., Bena, F. S., Ben-Zeev, B., Bonagura, V. R., Bruel, A.-L., Brunet, T., Brunner, H. G., Chew, H. B., Chrast, J., Cimbalistienė, L., Coon, H., The DDD study, Délot, E. C., Démurger, F., Denommé-Pichon, A.-S., Depienne, C., Donnai, D., Dyment, D. A., Elpeleg, O., Faivre, L., Gilissen, C., Granger, L., Haber, B., Hachiya, Y., Hamzavi Abedi, Y., Hanebeck, J., Hehir-Kwa, J. Y., Horist, B., Itai, T., Jackson, A., Jewell, R., Jones, K. L., Joss, S., Kashii, H., Kato, M., Kattentidt-Mouravieva, A. A., Kok, F., Kotzaeridou, U., Krishnamurthy, V., Kučinskas, V., Kuechler, A., Lavillaureix, A., Liu, P., Manwaring, L., Matsumoto, N., Mazel, B., McWalter, K., Meiner, V., Mikati, M. A., Miyatake, S., Mizuguchi, T., Moey, L. H., Mohammed, S., Mor-Shaked, H., Mountford, H., Newbury-Ecob, R., Odent, S., Orec, L., Osmond, M., Palculict, T. B., Parker, M., Petersen, A., Pfundt, R., Preikšaitienė, E., Radtke, K., Ranza, E., Rosenfeld, J. A., Santiago-Sim, T., Schwager, C., Sinnema, M., Snijders Blok, L., Spillmann, R. C., Stegmann, A. P. A., Thiffault, I., Tran, L., Vaknin-Dembinsky, A., Vedovato-dos-Santos, J. H., Vergano, S. A., Vilain, E., Vitobello, A., Wagner, M., Waheeb, A., Willing, M., Zuccarelli, B., Kini, U., Newbury, D. F., Kleefstra, T., Reymond, A., Fisher, S. E., & Vissers, L. E. L. M. (2021). Mutation-specific pathophysiological mechanisms define different neurodevelopmental disorders associated with SATB1 dysfunction. The American Journal of Human Genetics, 108(2), 346-356. doi:10.1016/j.ajhg.2021.01.007.
Abstract
Whereas large-scale statistical analyses can robustly identify disease-gene relationships, they do not accurately capture genotype-phenotype correlations or disease mechanisms. We use multiple lines of independent evidence to show that different variant types in a single gene, SATB1, cause clinically overlapping but distinct neurodevelopmental disorders. Clinical evaluation of 42 individuals carrying SATB1 variants identified overt genotype-phenotype relationships, associated with different pathophysiological mechanisms, established by functional assays. Missense variants in the CUT1 and CUT2 DNA-binding domains result in stronger chromatin binding, increased transcriptional repression and a severe phenotype. Contrastingly, variants predicted to result in haploinsufficiency are associated with a milder clinical presentation. A similarly mild phenotype is observed for individuals with premature protein truncating variants that escape nonsense-mediated decay and encode truncated proteins, which are transcriptionally active but mislocalized in the cell. Our results suggest that in-depth mutation-specific genotype-phenotype studies are essential to capture full disease complexity and to explain phenotypic variability. -
Gialluisi, A., Andlauer, T. F. M., Mirza-Schreiber, N., Moll, K., Becker, J., Hoffmann, P., Ludwig, K. U., Czamara, D., St Pourcain, B., Honbolygó, F., Tóth, D., Csépe, V., Huguet, H., Chaix, Y., Iannuzzi, S., Demonet, J.-F., Morris, A. P., Hulslander, J., Willcutt, E. G., DeFries, J. C. and 29 moreGialluisi, A., Andlauer, T. F. M., Mirza-Schreiber, N., Moll, K., Becker, J., Hoffmann, P., Ludwig, K. U., Czamara, D., St Pourcain, B., Honbolygó, F., Tóth, D., Csépe, V., Huguet, H., Chaix, Y., Iannuzzi, S., Demonet, J.-F., Morris, A. P., Hulslander, J., Willcutt, E. G., DeFries, J. C., Olson, R. K., Smith, S. D., Pennington, B. F., Vaessen, A., Maurer, U., Lyytinen, H., Peyrard-Janvid, M., Leppänen, P. H. T., Brandeis, D., Bonte, M., Stein, J. F., Talcott, J. B., Fauchereau, F., Wilcke, A., Kirsten, H., Müller, B., Francks, C., Bourgeron, T., Monaco, A. P., Ramus, F., Landerl, K., Kere, J., Scerri, T. S., Paracchini, S., Fisher, S. E., Schumacher, J., Nöthen, M. M., Müller-Myhsok, B., & Schulte-Körne, G. (2021). Genome-wide association study reveals new insights into the heritability and genetic correlates of developmental dyslexia. Molecular Psychiatry, 26, 3004-3017. doi:10.1038/s41380-020-00898-x.
Abstract
Developmental dyslexia (DD) is a learning disorder affecting the ability to read, with a heritability of 40–60%. A notable part of this heritability remains unexplained, and large genetic studies are warranted to identify new susceptibility genes and clarify the genetic bases of dyslexia. We carried out a genome-wide association study (GWAS) on 2274 dyslexia cases and 6272 controls, testing associations at the single variant, gene, and pathway level, and estimating heritability using single-nucleotide polymorphism (SNP) data. We also calculated polygenic scores (PGSs) based on large-scale GWAS data for different neuropsychiatric disorders and cortical brain measures, educational attainment, and fluid intelligence, testing them for association with dyslexia status in our sample. We observed statistically significant (p < 2.8 × 10−6) enrichment of associations at the gene level, for LOC388780 (20p13; uncharacterized gene), and for VEPH1 (3q25), a gene implicated in brain development. We estimated an SNP-based heritability of 20–25% for DD, and observed significant associations of dyslexia risk with PGSs for attention deficit hyperactivity disorder (at pT = 0.05 in the training GWAS: OR = 1.23[1.16; 1.30] per standard deviation increase; p = 8 × 10−13), bipolar disorder (1.53[1.44; 1.63]; p = 1 × 10−43), schizophrenia (1.36[1.28; 1.45]; p = 4 × 10−22), psychiatric cross-disorder susceptibility (1.23[1.16; 1.30]; p = 3 × 10−12), cortical thickness of the transverse temporal gyrus (0.90[0.86; 0.96]; p = 5 × 10−4), educational attainment (0.86[0.82; 0.91]; p = 2 × 10−7), and intelligence (0.72[0.68; 0.76]; p = 9 × 10−29). This study suggests an important contribution of common genetic variants to dyslexia risk, and novel genomic overlaps with psychiatric conditions like bipolar disorder, schizophrenia, and cross-disorder susceptibility. Moreover, it revealed the presence of shared genetic foundations with a neural correlate previously implicated in dyslexia by neuroimaging evidence.Additional information
Supplementary File S1 Supplementary File S2 Supplementary File S3 Supplementary File S4 Acknowledgements -
Jansen, N. A., Braden, R. O., Srivastava, S., Otness, E. F., Lesca, G., Rossi, M., Nizon, M., Bernier, R. A., Quelin, C., Van Haeringen, A., Kleefstra, T., Wong, M. M. K., Whalen, S., Fisher, S. E., Morgan, A. T., & Van Bon, B. W. (2021). Clinical delineation of SETBP1 haploinsufficiency disorder. European Journal of Human Genetics, 29, 1198 -1205. doi:10.1038/s41431-021-00888-9.
Abstract
SETBP1 haploinsufficiency disorder (MIM#616078) is caused by haploinsufficiency of SETBP1 on chromosome 18q12.3, but there has not yet been any systematic evaluation of the major features of this monogenic syndrome, assessing penetrance and expressivity. We describe the first comprehensive study to delineate the associated clinical phenotype, with findings from 34 individuals, including 24 novel cases, all of whom have a SETBP1 loss-of-function variant or single (coding) gene deletion, confirmed by molecular diagnostics. The most commonly reported clinical features included mild motor developmental delay, speech impairment, intellectual disability, hypotonia, vision impairment, attention/concentration deficits, and hyperactivity. Although there is a mild overlap in certain facial features, the disorder does not lead to a distinctive recognizable facial gestalt. As well as providing insight into the clinical spectrum of SETBP1 haploinsufficiency disorder, this reports puts forward care recommendations for patient management.Additional information
supplementary table -
Kong, X., Postema, M., Schijven, D., Carrion Castillo, A., Pepe, A., Crivello, F., Joliot, M., Mazoyer, B., Fisher, S. E., & Francks, C. (2021). Large-scale phenomic and genomic analysis of brain asymmetrical skew. Cerebral Cortex, 31(9), 4151-4168. doi:10.1093/cercor/bhab075.
Abstract
The human cerebral hemispheres show a left–right asymmetrical torque pattern, which has been claimed to be absent in chimpanzees. The functional significance and developmental mechanisms are unknown. Here, we carried out the largest-ever analysis of global brain shape asymmetry in magnetic resonance imaging data. Three population datasets were used, UK Biobank (N = 39 678), Human Connectome Project (N = 1113), and BIL&GIN (N = 453). At the population level, there was an anterior and dorsal skew of the right hemisphere, relative to the left. Both skews were associated independently with handedness, and various regional gray and white matter metrics oppositely in the two hemispheres, as well as other variables related to cognitive functions, sociodemographic factors, and physical and mental health. The two skews showed single nucleotide polymorphisms-based heritabilities of 4–13%, but also substantial polygenicity in causal mixture model analysis, and no individually significant loci were found in genome-wide association studies for either skew. There was evidence for a significant genetic correlation between horizontal brain skew and autism, which requires future replication. These results provide the first large-scale description of population-average brain skews and their inter-individual variations, their replicable associations with handedness, and insights into biological and other factors which associate with human brain asymmetry. -
Morgan, A., Braden, R., Wong, M. M. K., Colin, E., Amor, D., Liégeois, F., Srivastava, S., Vogel, A., Bizaoui, V., Ranguin, K., Fisher, S. E., & Van Bon, B. W. (2021). Speech and language deficits are central to SETBP1 haploinsufficiency disorder. European Journal of Human Genetics, 29, 1216-1225. doi:10.1038/s41431-021-00894-x.
Abstract
Expressive communication impairment is associated with haploinsufficiency of SETBP1, as reported in small case series. Heterozygous pathogenic loss-of-function (LoF) variants in SETBP1 have also been identified in independent cohorts ascertained for childhood apraxia of speech (CAS), warranting further investigation of the roles of this gene in speech development. Thirty-one participants (12 males, aged 0; 8–23; 2 years, 28 with pathogenic SETBP1 LoF variants, 3 with 18q12.3 deletions) were assessed for speech, language and literacy abilities. Broader development was examined with standardised motor, social and daily life skills assessments. Gross and fine motor deficits (94%) and intellectual impairments (68%) were common. Protracted and aberrant speech development was consistently seen, regardless of motor or intellectual ability. We expand the linguistic phenotype associated with SETBP1 LoF syndrome (SETBP1 haploinsufficiency disorder), revealing a striking speech presentation that implicates both motor (CAS, dysarthria) and language (phonological errors) systems, with CAS (80%) being the most common diagnosis. In contrast to past reports, the understanding of language was rarely better preserved than language expression (29%). Language was typically low, to moderately impaired, with commensurate expression and comprehension ability. Children were sociable with a strong desire to communicate. Minimally verbal children (32%) augmented speech with sign language, gestures or digital devices. Overall, relative to general development, spoken language and literacy were poorer than social, daily living, motor and adaptive behaviour skills. Our findings show that poor communication is a central feature of SETBP1 haploinsufficiency disorder, confirming this gene as a strong candidate for speech and language disorders. -
Postema, M., Hoogman, M., Ambrosino, S., Asherson, P., Banaschewski, T., Bandeira, C. E., Baranov, A., Bau, C. H. D., Baumeister, S., Baur-Streubel, R., Bellgrove, M. A., Biederman, J., Bralten, J., Brandeis, D., Brem, S., Buitelaar, J. K., Busatto, G. F., Castellanos, F. X., Cercignani, M., Chaim-Avancini, T. M. and 85 morePostema, M., Hoogman, M., Ambrosino, S., Asherson, P., Banaschewski, T., Bandeira, C. E., Baranov, A., Bau, C. H. D., Baumeister, S., Baur-Streubel, R., Bellgrove, M. A., Biederman, J., Bralten, J., Brandeis, D., Brem, S., Buitelaar, J. K., Busatto, G. F., Castellanos, F. X., Cercignani, M., Chaim-Avancini, T. M., Chantiluke, K. C., Christakou, A., Coghill, D., Conzelmann, A., Cubillo, A. I., Cupertino, R. B., De Zeeuw, P., Doyle, A. E., Durston, S., Earl, E. A., Epstein, J. N., Ethofer, T., Fair, D. A., Fallgatter, A. J., Faraone, S. V., Frodl, T., Gabel, M. C., Gogberashvili, T., Grevet, E. H., Haavik, J., Harrison, N. A., Hartman, C. A., Heslenfeld, D. J., Hoekstra, P. J., Hohmann, S., Høvik, M. F., Jernigan, T. L., Kardatzki, B., Karkashadze, G., Kelly, C., Kohls, G., Konrad, K., Kuntsi, J., Lazaro, L., Lera-Miguel, S., Lesch, K.-P., Louza, M. R., Lundervold, A. J., Malpas, C. B., Mattos, P., McCarthy, H., Namazova-Baranova, L., Nicolau, R., Nigg, J. T., Novotny, S. E., Oberwelland Weiss, E., O'Gorman Tuura, R. L., Oosterlaan, J., Oranje, B., Paloyelis, Y., Pauli, P., Picon, F. A., Plessen, K. J., Ramos-Quiroga, J. A., Reif, A., Reneman, L., Rosa, P. G. P., Rubia, K., Schrantee, A., Schweren, L. J. S., Seitz, J., Shaw, P., Silk, T. J., Skokauskas, N., Soliva Vila, J. C., Stevens, M. C., Sudre, G., Tamm, L., Tovar-Moll, F., Van Erp, T. G. M., Vance, A., Vilarroya, O., Vives-Gilabert, Y., Von Polier, G. G., Walitza, S., Yoncheva, Y. N., Zanetti, M. V., Ziegler, G. C., Glahn, D. C., Jahanshad, N., Medland, S. E., ENIGMA ADHD Working Group, Thompson, P. M., Fisher, S. E., Franke, B., & Francks, C. (2021). Analysis of structural brain asymmetries in Attention-Deficit/Hyperactivity Disorder in 39 datasets. Journal of Child Psychology and Psychiatry, 62(10), 1202-1219. doi:10.1111/jcpp.13396.
Abstract
Objective: Some studies have suggested alterations of structural brain asymmetry in attention-deficit/hyperactivity disorder (ADHD), but findings have been contradictory and based on small samples. Here we performed the largest-ever analysis of brain left-right asymmetry in ADHD, using 39 datasets of the ENIGMA consortium.
Methods: We analyzed asymmetry of subcortical and cerebral cortical structures in up to 1,933 people with ADHD and 1,829 unaffected controls. Asymmetry Indexes (AIs) were calculated per participant for each bilaterally paired measure, and linear mixed effects modelling was applied separately in children, adolescents, adults, and the total sample, to test exhaustively for potential associations of ADHD with structural brain asymmetries.
Results: There was no evidence for altered caudate nucleus asymmetry in ADHD, in contrast to prior literature. In children, there was less rightward asymmetry of the total hemispheric surface area compared to controls (t=2.1, P=0.04). Lower rightward asymmetry of medial orbitofrontal cortex surface area in ADHD (t=2.7, P=0.01) was similar to a recent finding for autism spectrum disorder. There were also some differences in cortical thickness asymmetry across age groups. In adults with ADHD, globus pallidus asymmetry was altered compared to those without ADHD. However, all effects were small (Cohen’s d from -0.18 to 0.18) and would not survive study-wide correction for multiple testing.
Conclusion: Prior studies of altered structural brain asymmetry in ADHD were likely under-powered to detect the small effects reported here. Altered structural asymmetry is unlikely to provide a useful biomarker for ADHD, but may provide neurobiological insights into the trait.Additional information
jcpp13396-sup-0001-supinfo.pdf -
Sha, Z., Pepe, A., Schijven, D., Carrion Castillo, A., Roe, J. M., Westerhausen, R., Joliot, M., Fisher, S. E., Crivello, F., & Francks, C. (2021). Handedness and its genetic influences are associated with structural asymmetries of the cerebral cortex in 31,864 individuals. Proceedings of the National Academy of Sciences of the United States of America, 118(47): e2113095118. doi:10.1073/pnas.2113095118.
Abstract
Roughly 10% of the human population is left-handed, and this rate is increased in some brain-related disorders. The neuroanatomical correlates of hand preference have remained equivocal. We resampled structural brain image data from 28,802 right-handers and 3,062 left-handers (UK Biobank population dataset) to a symmetrical surface template, and mapped asymmetries for each of 8,681 vertices across the cerebral cortex in each individual. Left-handers compared to right-handers showed average differences of surface area asymmetry within the fusiform cortex, the anterior insula, the anterior middle cingulate cortex, and the precentral cortex. Meta-analyzed functional imaging data implicated these regions in executive functions and language. Polygenic disposition to left-handedness was associated with two of these regional asymmetries, and 18 loci previously linked with left-handedness by genome-wide screening showed associations with one or more of these asymmetries. Implicated genes included six encoding microtubule-related proteins: TUBB, TUBA1B, TUBB3, TUBB4A, MAP2, and NME7—mutations in the latter can cause left to right reversal of the visceral organs. There were also two cortical regions where average thickness asymmetry was altered in left-handedness: on the postcentral gyrus and the inferior occipital cortex, functionally annotated with hand sensorimotor and visual roles. These cortical thickness asymmetries were not heritable. Heritable surface area asymmetries of language-related regions may link the etiologies of hand preference and language, whereas nonheritable asymmetries of sensorimotor cortex may manifest as consequences of hand preference. -
Sha, Z., Schijven, D., Carrion Castillo, A., Joliot, M., Mazoyer, B., Fisher, S. E., Crivello, F., & Francks, C. (2021). The genetic architecture of structural left–right asymmetry of the human brain. Nature Human Behaviour, 5, 1226-1236. doi:10.1038/s41562-021-01069-w.
Abstract
Left–right hemispheric asymmetry is an important aspect of healthy brain organization for many functions including language, and it can be altered in cognitive and psychiatric disorders. No mechanism has yet been identified for establishing the human brain’s left–right axis. We performed multivariate genome-wide association scanning of cortical regional surface area and thickness asymmetries, and subcortical volume asymmetries, using data from 32,256 participants from the UK Biobank. There were 21 significant loci associated with different aspects of brain asymmetry, with functional enrichment involving microtubule-related genes and embryonic brain expression. These findings are consistent with a known role of the cytoskeleton in left–right axis determination in other organs of invertebrates and frogs. Genetic variants associated with brain asymmetry overlapped with those associated with autism, educational attainment and schizophrenia. Comparably large datasets will likely be required in future studies, to replicate and further clarify the associations of microtubule-related genes with variation in brain asymmetry, behavioural and psychiatric traits. -
Shapland, C. Y., Verhoef, E., Smith, G. D., Fisher, S. E., Verhulst, B., Dale, P. S., & St Pourcain, B. (2021). Multivariate genome-wide covariance analyses of literacy, language and working memory skills reveal distinct etiologies. npj Science of Learning, 6: 23. doi:10.1038/s41539-021-00101-y.
Abstract
Several abilities outside literacy proper are associated with reading and spelling, both phenotypically and genetically, though our knowledge of multivariate genomic covariance structures is incomplete. Here, we introduce structural models describing genetic and residual influences between traits to study multivariate links across measures of literacy, phonological awareness, oral language, and phonological working memory (PWM) in unrelated UK youth (8-13 years, N=6,453). We find that all phenotypes share a large proportion of underlying genetic variation, although especially oral language and PWM reveal substantial differences in their genetic variance composition with substantial trait-specific genetic influences. Multivariate genetic and residual trait covariance showed concordant patterns, except for marked differences between oral language and literacy/phonological awareness, where strong genetic links contrasted near-zero residual overlap. These findings suggest differences in etiological mechanisms, acting beyond a pleiotropic set of genetic variants, and implicate variation in trait modifiability even among phenotypes that have high genetic correlations.Additional information
supplementary information -
Smeets, C. J. L. M., Ma, K. Y., Fisher, S. E., & Verbeek, D. S. (2021). Cerebellar developmental deficits underlie neurodegenerative disorder spinocerebellar ataxia type 23. Brain Pathology, 31(2), 239-252. doi:10.1111/bpa.12905.
Abstract
Spinocerebellar ataxia type 23 (SCA23) is a late‐onset neurodegenerative disorder characterized by slowly progressive gait and limb ataxia, for which there is no therapy available. It is caused by pathogenic variants in PDYN, which encodes prodynorphin (PDYN). PDYN is processed into the opioid peptides α‐neoendorphin and dynorphins (Dyn) A and B; inhibitory neurotransmitters that function in pain signaling, stress‐induced responses and addiction. Variants causing SCA23 mostly affect Dyn A, leading to loss of secondary structure and increased peptide stability. PDYNR212W mice express human PDYN containing the SCA23 variant p.R212W. These mice show progressive motor deficits from 3 months of age, climbing fiber (CF) deficits from 3 months of age, and Purkinje cell (PC) loss from 12 months of age. A mouse model for SCA1 showed similar CF deficits, and a recent study found additional developmental abnormalities, namely increased GABAergic interneuron connectivity and non‐cell autonomous disruption of PC function. As SCA23 mice show a similar pathology to SCA1 mice in adulthood, we hypothesized that SCA23 may also follow SCA1 pathology during development. Examining PDYNR212W cerebella during development, we uncovered developmental deficits from 2 weeks of age, namely a reduced number of GABAergic synapses on PC soma, possibly leading to the observed delay in early phase CF elimination between 2 and 3 weeks of age. Furthermore, CFs did not reach terminal height, leaving proximal PC dendrites open to be occupied by parallel fibers (PFs). The observed increase in vGlut1 protein—a marker for PF‐PC synapses—indicates that PFs indeed take over CF territory and have increased connectivity with PCs. Additionally, we detected altered expression of several critical Ca2+ channel subunits, potentially contributing to altered Ca2+ transients in PDYNR212W cerebella. These findings indicate that developmental abnormalities contribute to the SCA23 pathology and uncover a developmental role for PDYN in the cerebellum. -
Snijders Blok, L., Goosen, Y. M., Haaften, L., Hulst, K., Fisher, S. E., Brunner, H. G., Egger, J. I. M., & Kleefstra, T. (2021). Speech‐language profiles in the context of cognitive and adaptive functioning inSATB2‐associated syndrome. Genes, Brain and Behavior, 20(7): e12761. doi:10.1111/gbb.12761.
Abstract
SATB2-associated syndrome (SAS) is a neurodevelopmental disorder caused by heterozygous pathogenic variants in the SATB2 gene, and is typically characterized by intellectual disability and severely impaired communication skills. The goal of this study was to contribute to the understanding of speech and language impairments in SAS, in the context of general developmental skills and cognitive and adaptive functioning. We performed detailed oral motor, speech and language profiling in combination with neuropsychological assessments in 23 individuals with a molecularly confirmed SAS diagnosis: 11 primarily verbal individuals and 12 primarily nonverbal individuals, independent of their ages. All individuals had severe receptive language delays. For all verbal individuals, we were able to define underlying speech conditions. While childhood apraxia of speech was most prevalent, oral motor problems appeared frequent as well and were more present in the nonverbal group than in the verbal group. For seven individuals, age-appropriate Wechsler indices could be derived, showing that the level of intellectual functioning of these individuals varied from moderate–mild ID to mild ID-borderline intellectual functioning. Assessments of adaptive functioning with the Vineland Screener showed relatively high scores on the domain “daily functioning” and relatively low scores on the domain “communication” in most individuals. Altogether, this study provides a detailed delineation of oral motor, speech and language skills and neuropsychological functioning in individuals with SAS, and can provide families and caregivers with information to guide diagnosis, management and treatment approaches.Additional information
supporting information -
Snijders Blok, L., Vino, A., Den Hoed, J., Underhill, H. R., Monteil, D., Li, H., Reynoso Santos, F. J., Chung, W. K., Amaral, M. D., Schnur, R. E., Santiago-Sim, T., Si, Y., Brunner, H. G., Kleefstra, T., & Fisher, S. E. (2021). Heterozygous variants that disturb the transcriptional repressor activity of FOXP4 cause a developmental disorder with speech/language delays and multiple congenital abnormalities. Genetics in Medicine, 23, 534-542. doi:10.1038/s41436-020-01016-6.
Abstract
Heterozygous pathogenic variants in various FOXP genes cause specific developmental disorders. The phenotype associated with heterozygous variants in FOXP4 has not been previously described.
We assembled a cohort of eight individuals with heterozygous and mostly de novo variants in FOXP4: seven individuals with six different missense variants and one individual with a frameshift variant. We collected clinical data to delineate the phenotypic spectrum, and used in silico analyses and functional cell-based assays to assess pathogenicity of the variants.
We collected clinical data for six individuals: five individuals with a missense variant in the forkhead box DNA-binding domain of FOXP4, and one individual with a truncating variant. Overlapping features included speech and language delays, growth abnormalities, congenital diaphragmatic hernia, cervical spine abnormalities, and ptosis. Luciferase assays showed loss-of-function effects for all these variants, and aberrant subcellular localization patterns were seen in a subset. The remaining two missense variants were located outside the functional domains of FOXP4, and showed transcriptional repressor capacities and localization patterns similar to the wild-type protein.
Collectively, our findings show that heterozygous loss-of-function variants in FOXP4 are associated with an autosomal dominant neurodevelopmental disorder with speech/language delays, growth defects, and variable congenital abnormalities. -
Sønderby, I. E., Van der Meer, D., Moreau, C., Kaufmann, T., Walters, G. B., Ellegaard, M., Abdellaoui, A., Ames, D., Amunts, K., Andersson, M., Armstrong, N. J., Bernard, M., Blackburn, N. B., Blangero, J., Boomsma, D. I., Brodaty, H., Brouwer, R. M., Bülow, R., Bøen, R., Cahn, W. and 125 moreSønderby, I. E., Van der Meer, D., Moreau, C., Kaufmann, T., Walters, G. B., Ellegaard, M., Abdellaoui, A., Ames, D., Amunts, K., Andersson, M., Armstrong, N. J., Bernard, M., Blackburn, N. B., Blangero, J., Boomsma, D. I., Brodaty, H., Brouwer, R. M., Bülow, R., Bøen, R., Cahn, W., Calhoun, V. D., Caspers, S., Ching, C. R. K., Cichon, S., Ciufolini, S., Crespo-Facorro, B., Curran, J. E., Dale, A. M., Dalvie, S., Dazzan, P., De Geus, E. J. C., De Zubicaray, G. I., De Zwarte, S. M. C., Desrivieres, S., Doherty, J. L., Donohoe, G., Draganski, B., Ehrlich, S., Eising, E., Espeseth, T., Fejgin, K., Fisher, S. E., Fladby, T., Frei, O., Frouin, V., Fukunaga, M., Gareau, T., Ge, T., Glahn, D. C., Grabe, H. J., Groenewold, N. A., Gústafsson, Ó., Haavik, J., Haberg, A. K., Hall, J., Hashimoto, R., Hehir-Kwa, J. Y., Hibar, D. P., Hillegers, M. H. J., Hoffmann, P., Holleran, L., Holmes, A. J., Homuth, G., Hottenga, J.-J., Hulshoff Pol, H. E., Ikeda, M., Jahanshad, N., Jockwitz, C., Johansson, S., Jönsson, E. G., Jørgensen, N. R., Kikuchi, M., Knowles, E. E. M., Kumar, K., Le Hellard, S., Leu, C., Linden, D. E., Liu, J., Lundervold, A., Lundervold, A. J., Maillard, A. M., Martin, N. G., Martin-Brevet, S., Mather, K. A., Mathias, S. R., McMahon, K. L., McRae, A. F., Medland, S. E., Meyer-Lindenberg, A., Moberget, T., Modenato, C., Monereo Sánchez, J., Morris, D. W., Mühleisen, T. W., Murray, R. M., Nielsen, J., Nordvik, J. E., Nyberg, L., Olde Loohuis, L. M., Ophoff, R. A., Owen, M. J., Paus, T., Pausova, Z., Peralta, J. M., Pike, B., Prieto, C., Quinlan, E. B., Reinbold, C. S., Reis Marques, T., Rucker, J. J. H., Sachdev, P. S., Sando, S. B., Schofield, P. R., Schork, A. J., Schumann, G., Shin, J., Shumskaya, E., Silva, A. I., Sisodiya, S. M., Steen, V. M., Stein, D. J., Strike, L. T., Suzuki, I. K., Tamnes, C. K., Teumer, A., Thalamuthu, A., Tordesillas-Gutiérrez, D., Uhlmann, A., Úlfarsson, M. Ö., Van 't Ent, D., Van den Bree, M. B. M., Vanderhaeghen, P., Vassos, E., Wen, W., Wittfeld, K., Wright, M. J., Agartz, I., Djurovic, S., Westlye, L. T., Stefánsson, H., Stefánsson, K., Jacquemont, S., Thompson, P. M., Andreassen, O. A., & the ENIGMA-CNV working group (2021). 1q21.1 distal copy number variants are associated with cerebral and cognitive alterations in humans. Translational Psychiatry, 11: 182. doi:10.1038/s41398-021-01213-0.
Abstract
Low-frequency 1q21.1 distal deletion and duplication copy number variant (CNV) carriers are predisposed to multiple neurodevelopmental disorders, including schizophrenia, autism and intellectual disability. Human carriers display a high prevalence of micro- and macrocephaly in deletion and duplication carriers, respectively. The underlying brain structural diversity remains largely unknown. We systematically called CNVs in 38 cohorts from the large-scale ENIGMA-CNV collaboration and the UK Biobank and identified 28 1q21.1 distal deletion and 22 duplication carriers and 37,088 non-carriers (48% male) derived from 15 distinct magnetic resonance imaging scanner sites. With standardized methods, we compared subcortical and cortical brain measures (all) and cognitive performance (UK Biobank only) between carrier groups also testing for mediation of brain structure on cognition. We identified positive dosage effects of copy number on intracranial volume (ICV) and total cortical surface area, with the largest effects in frontal and cingulate cortices, and negative dosage effects on caudate and hippocampal volumes. The carriers displayed distinct cognitive deficit profiles in cognitive tasks from the UK Biobank with intermediate decreases in duplication carriers and somewhat larger in deletion carriers—the latter potentially mediated by ICV or cortical surface area. These results shed light on pathobiological mechanisms of neurodevelopmental disorders, by demonstrating gene dose effect on specific brain structures and effect on cognitive function. -
Tilot, A. K., Khramtsova, E. A., Liang, D., Grasby, K. L., Jahanshad, N., Painter, J., Colodro-Conde, L., Bralten, J., Hibar, D. P., Lind, P. A., Liu, S., Brotman, S. M., Thompson, P. M., Medland, S. E., Macciardi, F., Stranger, B. E., Davis, L. K., Fisher, S. E., & Stein, J. L. (2021). The evolutionary history of common genetic variants influencing human cortical surface area. Cerebral Cortex, 31(4), 1873-1887. doi:10.1093/cercor/bhaa327.
Abstract
Structural brain changes along the lineage leading to modern Homo sapiens contributed to our distinctive cognitive and social abilities. However, the evolutionarily relevant molecular variants impacting key aspects of neuroanatomy are largely unknown. Here, we integrate evolutionary annotations of the genome at diverse timescales with common variant associations from large-scale neuroimaging genetic screens. We find that alleles with evidence of recent positive polygenic selection over the past 2000–3000 years are associated with increased surface area (SA) of the entire cortex, as well as specific regions, including those involved in spoken language and visual processing. Therefore, polygenic selective pressures impact the structure of specific cortical areas even over relatively recent timescales. Moreover, common sequence variation within human gained enhancers active in the prenatal cortex is associated with postnatal global SA. We show that such variation modulates the function of a regulatory element of the developmentally relevant transcription factor HEY2 in human neural progenitor cells and is associated with structural changes in the inferior frontal cortex. These results indicate that non-coding genomic regions active during prenatal cortical development are involved in the evolution of human brain structure and identify novel regulatory elements and genes impacting modern human brain structure.Additional information
supplemental_information_enigma_evol_bhaa327.pdf -
Verhoef, E., Shapland, C. Y., Fisher, S. E., Dale, P. S., & St Pourcain, B. (2021). The developmental origins of genetic factors influencing language and literacy: Associations with early-childhood vocabulary. Journal of Child Psychology and Psychiatry, 62(6), 728-738. doi:10.1111/jcpp.13327.
Abstract
Background
The heritability of language and literacy skills increases from early‐childhood to adolescence. The underlying mechanisms are little understood and may involve (a) the amplification of genetic influences contributing to early language abilities, and/or (b) the emergence of novel genetic factors (innovation). Here, we investigate the developmental origins of genetic factors influencing mid‐childhood/early‐adolescent language and literacy. We evaluate evidence for the amplification of early‐childhood genetic factors for vocabulary, in addition to genetic innovation processes.
Methods
Expressive and receptive vocabulary scores at 38 months, thirteen language‐ and literacy‐related abilities and nonverbal cognition (7–13 years) were assessed in unrelated children from the Avon Longitudinal Study of Parents and Children (ALSPAC, Nindividuals ≤ 6,092). We investigated the multivariate genetic architecture underlying early‐childhood expressive and receptive vocabulary, and each of 14 mid‐childhood/early‐adolescent language, literacy or cognitive skills with trivariate structural equation (Cholesky) models as captured by genome‐wide genetic relationship matrices. The individual path coefficients of the resulting structural models were finally meta‐analysed to evaluate evidence for overarching patterns.
Results
We observed little support for the emergence of novel genetic sources for language, literacy or cognitive abilities during mid‐childhood or early adolescence. Instead, genetic factors of early‐childhood vocabulary, especially those unique to receptive skills, were amplified and represented the majority of genetic variance underlying many of these later complex skills (≤99%). The most predictive early genetic factor accounted for 29.4%(SE = 12.9%) to 45.1%(SE = 7.6%) of the phenotypic variation in verbal intelligence and literacy skills, but also for 25.7%(SE = 6.4%) in performance intelligence, while explaining only a fraction of the phenotypic variation in receptive vocabulary (3.9%(SE = 1.8%)).
Conclusions
Genetic factors contributing to many complex skills during mid‐childhood and early adolescence, including literacy, verbal cognition and nonverbal cognition, originate developmentally in early‐childhood and are captured by receptive vocabulary. This suggests developmental genetic stability and overarching aetiological mechanisms.
Additional information
supporting information -
Verhoef, E., Shapland, C. Y., Fisher, S. E., Dale, P. S., & St Pourcain, B. (2021). The developmental genetic architecture of vocabulary skills during the first three years of life: Capturing emerging associations with later-life reading and cognition. PLoS Genetics, 17(2): e1009144. doi:10.1371/journal.pgen.1009144.
Abstract
Individual differences in early-life vocabulary measures are heritable and associated with subsequent reading and cognitive abilities, although the underlying mechanisms are little understood. Here, we (i) investigate the developmental genetic architecture of expressive and receptive vocabulary in early-life and (ii) assess timing of emerging genetic associations with mid-childhood verbal and non-verbal skills. We studied longitudinally assessed early-life vocabulary measures (15–38 months) and later-life verbal and non-verbal skills (7–8 years) in up to 6,524 unrelated children from the population-based Avon Longitudinal Study of Parents and Children (ALSPAC) cohort. We dissected the phenotypic variance of rank-transformed scores into genetic and residual components by fitting multivariate structural equation models to genome-wide genetic-relationship matrices. Our findings show that the genetic architecture of early-life vocabulary involves multiple distinct genetic factors. Two of these genetic factors are developmentally stable and also contribute to genetic variation in mid-childhood skills: One genetic factor emerging with expressive vocabulary at 24 months (path coefficient: 0.32(SE = 0.06)) was also related to later-life reading (path coefficient: 0.25(SE = 0.12)) and verbal intelligence (path coefficient: 0.42(SE = 0.13)), explaining up to 17.9% of the phenotypic variation. A second, independent genetic factor emerging with receptive vocabulary at 38 months (path coefficient: 0.15(SE = 0.07)), was more generally linked to verbal and non-verbal cognitive abilities in mid-childhood (reading path coefficient: 0.57(SE = 0.07); verbal intelligence path coefficient: 0.60(0.10); performance intelligence path coefficient: 0.50(SE = 0.08)), accounting for up to 36.1% of the phenotypic variation and the majority of genetic variance in these later-life traits (≥66.4%). Thus, the genetic foundations of mid-childhood reading and cognitive abilities are diverse. They involve at least two independent genetic factors that emerge at different developmental stages during early language development and may implicate differences in cognitive processes that are already detectable during toddlerhood.Additional information
supporting information -
Carrion Castillo, A., Pepe, A., Kong, X., Fisher, S. E., Mazoyer, B., Tzourio-Mazoyer, N., Crivello, F., & Francks, C. (2020). Genetic effects on planum temporale asymmetry and their limited relevance to neurodevelopmental disorders, intelligence or educational attainment. Cortex, 124, 137-153. doi:10.1016/j.cortex.2019.11.006.
Abstract
Previous studies have suggested that altered asymmetry of the planum temporale (PT) is associated with neurodevelopmental disorders, including dyslexia, schizophrenia, and autism. Shared genetic factors have been suggested to link PT asymmetry to these disorders. In a dataset of unrelated subjects from the general population (UK Biobank, N= 18,057), we found that PT volume asymmetry had a significant heritability of roughly 14%. In genome-wide association analysis, two loci were significantly associated with PT asymmetry, including a coding polymorphism within the gene ITIH5 that is predicted to affect the protein’s function and to be deleterious (rs41298373, P=2.01×10−15), and a locus that affects the expression of the genes BOK and DTYMK (rs7420166, P=7.54×10-10). DTYMK showed left-right asymmetry of mRNA expression in post mortem PT tissue. Cortex-wide mapping of these SNP effects revealed influences on asymmetry that went somewhat beyond the PT. Using publicly available genome-wide association statistics from large-scale studies, we saw no significant genetic correlations of PT asymmetry with autism spectrum disorder, attention deficit hyperactivity disorder, schizophrenia, educational attainment or intelligence. Of the top two individual loci associated with PT asymmetry, rs41298373 showed a tentative association with intelligence (unadjusted P=0.025), while the locus at BOK/DTYMK showed tentative association with educational attainment (unadjusted Ps<0.05). These findings provide novel insights into the genetic contributions to human brain asymmetry, but do not support a substantial polygenic association of PT asymmetry with cognitive variation and mental disorders, as far as can be discerned with current sample sizes.Additional information
Supplementary data -
Connaughton, D. M., Dai, R., Owen, D. J., Marquez, J., Mann, N., Graham-Paquin, A. L., Nakayama, M., Coyaud, E., Laurent, E. M. N., St-Germain, J. R., Snijders Blok, L., Vino, A., Klämbt, V., Deutsch, K., Wu, C.-H.-W., Kolvenbach, C. M., Kause, F., Ottlewski, I., Schneider, R., Kitzler, T. M. and 79 moreConnaughton, D. M., Dai, R., Owen, D. J., Marquez, J., Mann, N., Graham-Paquin, A. L., Nakayama, M., Coyaud, E., Laurent, E. M. N., St-Germain, J. R., Snijders Blok, L., Vino, A., Klämbt, V., Deutsch, K., Wu, C.-H.-W., Kolvenbach, C. M., Kause, F., Ottlewski, I., Schneider, R., Kitzler, T. M., Majmundar, A. J., Buerger, F., Onuchic-Whitford, A. C., Youying, M., Kolb, A., Salmanullah, D., Chen, E., Van der Ven, A. T., Rao, J., Ityel, H., Seltzsam, S., Rieke, J. M., Chen, J., Vivante, A., Hwang, D.-Y., Kohl, S., Dworschak, G. C., Hermle, T., Alders, M., Bartolomaeus, T., Bauer, S. B., Baum, M. A., Brilstra, E. H., Challman, T. D., Zyskind, J., Costin, C. E., Dipple, K. M., Duijkers, F. A., Ferguson, M., Fitzpatrick, D. R., Fick, R., Glass, I. A., Hulick, P. J., Kline, A. D., Krey, I., Kumar, S., Lu, W., Marco, E. J., Wentzensen, I. M., Mefford, H. C., Platzer, K., Povolotskaya, I. S., Savatt, J. M., Shcherbakova, N. V., Senguttuvan, P., Squire, A. E., Stein, D. R., Thiffault, I., Voinova, V. Y., Somers, M. J. G., Ferguson, M. A., Traum, A. Z., Daouk, G. H., Daga, A., Rodig, N. M., Terhal, P. A., Van Binsbergen, E., Eid, L. A., Tasic, V., Rasouly, H. M., Lim, T. Y., Ahram, D. F., Gharavi, A. G., Reutter, H. M., Rehm, H. L., MacArthur, D. G., Lek, M., Laricchia, K. M., Lifton, R. P., Xu, H., Mane, S. M., Sanna-Cherchi, S., Sharrocks, A. D., Raught, B., Fisher, S. E., Bouchard, M., Khokha, M. K., Shril, S., & Hildebrandt, F. (2020). Mutations of the transcriptional corepressor ZMYM2 cause syndromic urinary tract malformations. The American Journal of Human Genetics, 107(4), 727-742. doi:10.1016/j.ajhg.2020.08.013.
Abstract
Congenital anomalies of the kidney and urinary tract (CAKUT) constitute one of the most frequent birth defects and represent the most common cause of chronic kidney disease in the first three decades of life. Despite the discovery of dozens of monogenic causes of CAKUT, most pathogenic pathways remain elusive. We performed whole-exome sequencing (WES) in 551 individuals with CAKUT and identified a heterozygous de novo stop-gain variant in ZMYM2 in two different families with CAKUT. Through collaboration, we identified in total 14 different heterozygous loss-of-function mutations in ZMYM2 in 15 unrelated families. Most mutations occurred de novo, indicating possible interference with reproductive function. Human disease features are replicated in X. tropicalis larvae with morpholino knockdowns, in which expression of truncated ZMYM2 proteins, based on individual mutations, failed to rescue renal and craniofacial defects. Moreover, heterozygous Zmym2-deficient mice recapitulated features of CAKUT with high penetrance. The ZMYM2 protein is a component of a transcriptional corepressor complex recently linked to the silencing of developmentally regulated endogenous retrovirus elements. Using protein-protein interaction assays, we show that ZMYM2 interacts with additional epigenetic silencing complexes, as well as confirming that it binds to FOXP1, a transcription factor that has also been linked to CAKUT. In summary, our findings establish that loss-of-function mutations of ZMYM2, and potentially that of other proteins in its interactome, as causes of human CAKUT, offering new routes for studying the pathogenesis of the disorder. -
Den Hoed, J., & Fisher, S. E. (2020). Genetic pathways involved in human speech disorders. Current Opinion in Genetics & Development, 65, 103-111. doi:10.1016/j.gde.2020.05.012.
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Doust, C., Gordon, S. D., Garden, N., Fisher, S. E., Martin, N. G., Bates, T. C., & Luciano, M. (2020). The association of dyslexia and developmental speech and language disorder candidate genes with reading and language abilities in adults. Twin Research and Human Genetics, 23(1), 22-32. doi:10.1017/thg.2020.7.
Abstract
Reading and language abilities are critical for educational achievement and success in adulthood. Variation in these traits is highly heritable, but the underlying genetic architecture is largely undiscovered. Genetic studies of reading and language skills traditionally focus on children with developmental disorders; however, much larger unselected adult samples are available, increasing power to identify associations with specific genetic variants of small effect size. We introduce an Australian adult population cohort (41.7–73.2 years of age, N = 1505) in which we obtained data using validated measures of several aspects of reading and language abilities. We performed genetic association analysis for a reading and spelling composite score, nonword reading (assessing phonological processing: a core component in learning to read), phonetic spelling, self-reported reading impairment and nonword repetition (a marker of language ability). Given the limited power in a sample of this size (~80% power to find a minimum effect size of 0.005), we focused on analyzing candidate genes that have been associated with dyslexia and developmental speech and language disorders in prior studies. In gene-based tests, FOXP2, a gene implicated in speech/language disorders, was associated with nonword repetition (p < .001), phonetic spelling (p = .002) and the reading and spelling composite score (p < .001). Gene-set analyses of candidate dyslexia and speech/language disorder genes were not significant. These findings contribute to the assessment of genetic associations in reading and language disorders, crucial for understanding their etiology and informing intervention strategies, and validate the approach of using unselected adult samples for gene discovery in language and reading.Additional information
Supplementary materials -
Grasby, K. L., Jahanshad, N., Painter, J. N., Colodro-Conde, L., Bralten, J., Hibar, D. P., Lind, P. A., Pizzagalli, F., Ching, C. R. K., McMahon, M. A. B., Shatokhina, N., Zsembik, L. C. P., Thomopoulos, S. I., Zhu, A. H., Strike, L. T., Agartz, I., Alhusaini, S., Almeida, M. A. A., Alnæs, D., Amlien, I. K. and 341 moreGrasby, K. L., Jahanshad, N., Painter, J. N., Colodro-Conde, L., Bralten, J., Hibar, D. P., Lind, P. A., Pizzagalli, F., Ching, C. R. K., McMahon, M. A. B., Shatokhina, N., Zsembik, L. C. P., Thomopoulos, S. I., Zhu, A. H., Strike, L. T., Agartz, I., Alhusaini, S., Almeida, M. A. A., Alnæs, D., Amlien, I. K., Andersson, M., Ard, T., Armstrong, N. J., Ashley-Koch, A., Atkins, J. R., Bernard, M., Brouwer, R. M., Buimer, E. E. L., Bülow, R., Bürger, C., Cannon, D. M., Chakravarty, M., Chen, Q., Cheung, J. W., Couvy-Duchesne, B., Dale, A. M., Dalvie, S., De Araujo, T. K., De Zubicaray, G. I., De Zwarte, S. M. C., Den Braber, A., Doan, N. T., Dohm, K., Ehrlich, S., Engelbrecht, H.-R., Erk, S., Fan, C. C., Fedko, I. O., Foley, S. F., Ford, J. M., Fukunaga, M., Garrett, M. E., Ge, T., Giddaluru, S., Goldman, A. L., Green, M. J., Groenewold, N. A., Grotegerd, D., Gurholt, T. P., Gutman, B. A., Hansell, N. K., Harris, M. A., Harrison, M. B., Haswell, C. C., Hauser, M., Herms, S., Heslenfeld, D. J., Ho, N. F., Hoehn, D., Hoffmann, P., Holleran, L., Hoogman, M., Hottenga, J.-J., Ikeda, M., Janowitz, D., Jansen, I. E., Jia, T., Jockwitz, C., Kanai, R., Karama, S., Kasperaviciute, D., Kaufmann, T., Kelly, S., Kikuchi, M., Klein, M., Knapp, M., Knodt, A. R., Krämer, B., Lam, M., Lancaster, T. M., Lee, P. H., Lett, T. A., Lewis, L. B., Lopes-Cendes, I., Luciano, M., Macciardi, F., Marquand, A. F., Mathias, S. R., Melzer, T. R., Milaneschi, Y., Mirza-Schreiber, N., Moreira, J. C. V., Mühleisen, T. W., Müller-Myhsok, B., Najt, P., Nakahara, S., Nho, K., Olde Loohuis, L. M., Orfanos, D. P., Pearson, J. F., Pitcher, T. L., Pütz, B., Quidé, Y., Ragothaman, A., Rashid, F. M., Reay, W. R., Redlich, R., Reinbold, C. S., Repple, J., Richard, G., Riedel, B. C., Risacher, S. L., Rocha, C. S., Mota, N. R., Salminen, L., Saremi, A., Saykin, A. J., Schlag, F., Schmaal, L., Schofield, P. R., Secolin, R., Shapland, C. Y., Shen, L., Shin, J., Shumskaya, E., Sønderby, I. E., Sprooten, E., Tansey, K. E., Teumer, A., Thalamuthu, A., Tordesillas-Gutiérrez, D., Turner, J. A., Uhlmann, A., Vallerga, C. L., Van der Meer, D., Van Donkelaar, M. M. J., Van Eijk, L., Van Erp, T. G. M., Van Haren, N. E. M., Van Rooij, D., Van Tol, M.-J., Veldink, J. H., Verhoef, E., Walton, E., Wang, M., Wang, Y., Wardlaw, J. M., Wen, W., Westlye, L. T., Whelan, C. D., Witt, S. H., Wittfeld, K., Wolf, C., Wolfers, T., Wu, J. Q., Yasuda, C. L., Zaremba, D., Zhang, Z., Zwiers, M. P., Artiges, E., Assareh, A. A., Ayesa-Arriola, R., Belger, A., Brandt, C. L., Brown, G. G., Cichon, S., Curran, J. E., Davies, G. E., Degenhardt, F., Dennis, M. F., Dietsche, B., Djurovic, S., Doherty, C. P., Espiritu, R., Garijo, D., Gil, Y., Gowland, P. A., Green, R. C., Häusler, A. N., Heindel, W., Ho, B.-C., Hoffmann, W. U., Holsboer, F., Homuth, G., Hosten, N., Jack Jr., C. R., Jang, M., Jansen, A., Kimbrel, N. A., Kolskår, K., Koops, S., Krug, A., Lim, K. O., Luykx, J. J., Mathalon, D. H., Mather, K. A., Mattay, V. S., Matthews, S., Mayoral Van Son, J., McEwen, S. C., Melle, I., Morris, D. W., Mueller, B. A., Nauck, M., Nordvik, J. E., Nöthen, M. M., O’Leary, D. S., Opel, N., Paillère Martinot, M.-L., Pike, G. B., Preda, A., Quinlan, E. B., Rasser, P. E., Ratnakar, V., Reppermund, S., Steen, V. M., Tooney, P. A., Torres, F. R., Veltman, D. J., Voyvodic, J. T., Whelan, R., White, T., Yamamori, H., Adams, H. H. H., Bis, J. C., Debette, S., Decarli, C., Fornage, M., Gudnason, V., Hofer, E., Ikram, M. A., Launer, L., Longstreth, W. T., Lopez, O. L., Mazoyer, B., Mosley, T. H., Roshchupkin, G. V., Satizabal, C. L., Schmidt, R., Seshadri, S., Yang, Q., Alzheimer’s Disease Neuroimaging Initiative, CHARGE Consortium, EPIGEN Consortium, IMAGEN Consortium, SYS Consortium, Parkinson’s Progression Markers Initiative, Alvim, M. K. M., Ames, D., Anderson, T. J., Andreassen, O. A., Arias-Vasquez, A., Bastin, M. E., Baune, B. T., Beckham, J. C., Blangero, J., Boomsma, D. I., Brodaty, H., Brunner, H. G., Buckner, R. L., Buitelaar, J. K., Bustillo, J. R., Cahn, W., Cairns, M. J., Calhoun, V., Carr, V. J., Caseras, X., Caspers, S., Cavalleri, G. L., Cendes, F., Corvin, A., Crespo-Facorro, B., Dalrymple-Alford, J. C., Dannlowski, U., De Geus, E. J. C., Deary, I. J., Delanty, N., Depondt, C., Desrivières, S., Donohoe, G., Espeseth, T., Fernández, G., Fisher, S. E., Flor, H., Forstner, A. J., Francks, C., Franke, B., Glahn, D. C., Gollub, R. L., Grabe, H. J., Gruber, O., Håberg, A. K., Hariri, A. R., Hartman, C. A., Hashimoto, R., Heinz, A., Henskens, F. A., Hillegers, M. H. J., Hoekstra, P. J., Holmes, A. J., Hong, L. E., Hopkins, W. D., Hulshoff Pol, H. E., Jernigan, T. L., Jönsson, E. G., Kahn, R. S., Kennedy, M. A., Kircher, T. T. J., Kochunov, P., Kwok, J. B. J., Le Hellard, S., Loughland, C. M., Martin, N. G., Martinot, J.-L., McDonald, C., McMahon, K. L., Meyer-Lindenberg, A., Michie, P. T., Morey, R. A., Mowry, B., Nyberg, L., Oosterlaan, J., Ophoff, R. A., Pantelis, C., Paus, T., Pausova, Z., Penninx, B. W. J. H., Polderman, T. J. C., Posthuma, D., Rietschel, M., Roffman, J. L., Rowland, L. M., Sachdev, P. S., Sämann, P. G., Schall, U., Schumann, G., Scott, R. J., Sim, K., Sisodiya, S. M., Smoller, J. W., Sommer, I. E., St Pourcain, B., Stein, D. J., Toga, A. W., Trollor, J. N., Van der Wee, N. J. A., van 't Ent, D., Völzke, H., Walter, H., Weber, B., Weinberger, D. R., Wright, M. J., Zhou, J., Stein, J. L., Thompson, P. M., & Medland, S. E. (2020). The genetic architecture of the human cerebral cortex. Science, 367(6484): eaay6690. doi:10.1126/science.aay6690.
Abstract
The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson’s disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder. -
Henson, R. N., Suri, S., Knights, E., Rowe, J. B., Kievit, R. A., Lyall, D. M., Chan, D., Eising, E., & Fisher, S. E. (2020). Effect of apolipoprotein E polymorphism on cognition and brain in the Cambridge Centre for Ageing and Neuroscience cohort. Brain and Neuroscience Advances, 4: 2398212820961704. doi:10.1177/2398212820961704.
Abstract
Polymorphisms in the apolipoprotein E (APOE) gene have been associated with individual differences in cognition, brain structure and brain function. For example, the ε4 allele has been associated with cognitive and brain impairment in old age and increased risk of dementia, while the ε2 allele has been claimed to be neuroprotective. According to the ‘antagonistic pleiotropy’ hypothesis, these polymorphisms have different effects across the lifespan, with ε4, for example, postulated to confer benefits on cognitive and brain functions earlier in life. In this stage 2 of the Registered Report – https://osf.io/bufc4, we report the results from the cognitive and brain measures in the Cambridge Centre for Ageing and Neuroscience cohort (www.cam-can.org). We investigated the antagonistic pleiotropy hypothesis by testing for allele-by-age interactions in approximately 600 people across the adult lifespan (18–88 years), on six outcome variables related to cognition, brain structure and brain function (namely, fluid intelligence, verbal memory, hippocampal grey-matter volume, mean diffusion within white matter and resting-state connectivity measured by both functional magnetic resonance imaging and magnetoencephalography). We found no evidence to support the antagonistic pleiotropy hypothesis. Indeed, Bayes factors supported the null hypothesis in all cases, except for the (linear) interaction between age and possession of the ε4 allele on fluid intelligence, for which the evidence for faster decline in older ages was ambiguous. Overall, these pre-registered analyses question the antagonistic pleiotropy of APOE polymorphisms, at least in healthy adults.Additional information
supplementary material -
Hildebrand, M. S., Jackson, V. E., Scerri, T. S., Van Reyk, O., Coleman, M., Braden, R., Turner, S., Rigbye, K. A., Boys, A., Barton, S., Webster, R., Fahey, M., Saunders, K., Parry-Fielder, B., Paxton, G., Hayman, M., Coman, D., Goel, H., Baxter, A., Ma, A. and 11 moreHildebrand, M. S., Jackson, V. E., Scerri, T. S., Van Reyk, O., Coleman, M., Braden, R., Turner, S., Rigbye, K. A., Boys, A., Barton, S., Webster, R., Fahey, M., Saunders, K., Parry-Fielder, B., Paxton, G., Hayman, M., Coman, D., Goel, H., Baxter, A., Ma, A., Davis, N., Reilly, S., Delatycki, M., Liégeois, F. J., Connelly, A., Gecz, J., Fisher, S. E., Amor, D. J., Scheffer, I. E., Bahlo, M., & Morgan, A. T. (2020). Severe childhood speech disorder: Gene discovery highlights transcriptional dysregulation. Neurology, 94(20), e2148-e2167. doi:10.1212/WNL.0000000000009441.
Abstract
Objective
Determining the genetic basis of speech disorders provides insight into the neurobiology of
human communication. Despite intensive investigation over the past 2 decades, the etiology of
most speech disorders in children remains unexplained. To test the hypothesis that speech
disorders have a genetic etiology, we performed genetic analysis of children with severe speech
disorder, specifically childhood apraxia of speech (CAS).
Methods
Precise phenotyping together with research genome or exome analysis were performed on
children referred with a primary diagnosis of CAS. Gene coexpression and gene set enrichment
analyses were conducted on high-confidence gene candidates.
Results
Thirty-four probands ascertained for CAS were studied. In 11/34 (32%) probands, we identified
highly plausible pathogenic single nucleotide (n = 10; CDK13, EBF3, GNAO1, GNB1,
DDX3X, MEIS2, POGZ, SETBP1, UPF2, ZNF142) or copy number (n = 1; 5q14.3q21.1 locus)
variants in novel genes or loci for CAS. Testing of parental DNA was available for 9 probands
and confirmed that the variants had arisen de novo. Eight genes encode proteins critical for
regulation of gene transcription, and analyses of transcriptomic data found CAS-implicated
genes were highly coexpressed in the developing human brain.
Conclusion
We identify the likely genetic etiology in 11 patients with CAS and implicate 9 genes for the first
time. We find that CAS is often a sporadic monogenic disorder, and highly genetically heterogeneous.
Highly penetrant variants implicate shared pathways in broad transcriptional
regulation, highlighting the key role of transcriptional regulation in normal speech development.
CAS is a distinctive, socially debilitating clinical disorder, and understanding its
molecular basis is the first step towards identifying precision medicine approaches. -
Hofer, E., Roshchupkin, G. V., Adams, H. H. H., Knol, M. J., Lin, H., Li, S., Zare, H., Ahmad, S., Armstrong, N. J., Satizabal, C. L., Bernard, M., Bis, J. C., Gillespie, N. A., Luciano, M., Mishra, A., Scholz, M., Teumer, A., Xia, R., Jian, X., Mosley, T. H. and 79 moreHofer, E., Roshchupkin, G. V., Adams, H. H. H., Knol, M. J., Lin, H., Li, S., Zare, H., Ahmad, S., Armstrong, N. J., Satizabal, C. L., Bernard, M., Bis, J. C., Gillespie, N. A., Luciano, M., Mishra, A., Scholz, M., Teumer, A., Xia, R., Jian, X., Mosley, T. H., Saba, Y., Pirpamer, L., Seiler, S., Becker, J. T., Carmichael, O., Rotter, J. I., Psaty, B. M., Lopez, O. L., Amin, N., Van der Lee, S. J., Yang, Q., Himali, J. J., Maillard, P., Beiser, A. S., DeCarli, C., Karama, S., Lewis, L., Harris, M., Bastin, M. E., Deary, I. J., Witte, A. V., Beyer, F., Loeffler, M., Mather, K. A., Schofield, P. R., Thalamuthu, A., Kwok, J. B., Wright, M. J., Ames, D., Trollor, J., Jiang, J., Brodaty, H., Wen, W., Vernooij, M. W., Hofman, A., Uitterlinden, A. G., Niessen, W. J., Wittfeld, K., Bülow, R., Völker, U., Pausova, Z., Pike, G. B., Maingault, S., Crivello, F., Tzourio, C., Amouyel, P., Mazoyer, B., Neale, M. C., Franz, C. E., Lyons, M. J., Panizzon, M. S., Andreassen, O. A., Dale, A. M., Logue, M., Grasby, K. L., Jahanshad, N., Painter, J. N., Colodro-Conde, L., Bralten, J., Hibar, D. P., Lind, P. A., Pizzagalli, F., Stein, J. L., Thompson, P. M., Medland, S. E., ENIGMA-consortium, Sachdev, P. S., Kremen, W. S., Wardlaw, J. M., Villringer, A., Van Duijn, C. M., Grabe, H. J., Longstreth, W. T., Fornage, M., Paus, T., Debette, S., Ikram, M. A., Schmidt, H., Schmidt, R., & Seshadri, S. (2020). Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults. Nature Communications, 11: 4796. doi:10.1038/s41467-020-18367-y.
Additional information
supplementary information -
Kong, X., Tzourio-Mazoyer, N., Joliot, M., Fedorenko, E., Liu, J., Fisher, S. E., & Francks, C. (2020). Gene expression correlates of the cortical network underlying sentence processing. Neurobiology of Language, 1(1), 77-103. doi:10.1162/nol_a_00004.
Abstract
A pivotal question in modern neuroscience is which genes regulate brain circuits that underlie cognitive functions. However, the field is still in its infancy. Here we report an integrated investigation of the high-level language network (i.e., sentence processing network) in the human cerebral cortex, combining regional gene expression profiles, task fMRI, large-scale neuroimaging meta-analysis, and resting-state functional network approaches. We revealed reliable gene expression-functional network correlations using three different network definition strategies, and identified a consensus set of genes related to connectivity within the sentence-processing network. The genes involved showed enrichment for neural development and actin-related functions, as well as association signals with autism, which can involve disrupted language functioning. Our findings help elucidate the molecular basis of the brain’s infrastructure for language. The integrative approach described here will be useful to study other complex cognitive traits. -
Postema, M., Carrion Castillo, A., Fisher, S. E., Vingerhoets, G., & Francks, C. (2020). The genetics of situs inversus without primary ciliary dyskinesia. Scientific Reports, 10: 3677. doi:10.1038/s41598-020-60589-z.
Abstract
Situs inversus (SI), a left-right mirror reversal of the visceral organs, can occur with recessive Primary Ciliary Dyskinesia (PCD). However, most people with SI do not have PCD, and the etiology of their condition remains poorly studied. We sequenced the genomes of 15 people with SI, of which six had PCD, as well as 15 controls. Subjects with non-PCD SI in this sample had an elevated rate of left-handedness (five out of nine), which suggested possible developmental mechanisms linking brain and body laterality. The six SI subjects with PCD all had likely recessive mutations in genes already known to cause PCD. Two non-PCD SI cases also had recessive mutations in known PCD genes, suggesting reduced penetrance for PCD in some SI cases. One non-PCD SI case had recessive mutations in PKD1L1, and another in CFAP52 (also known as WDR16). Both of these genes have previously been linked to SI without PCD. However, five of the nine non-PCD SI cases, including three of the left-handers in this dataset, had no obvious monogenic basis for their condition. Environmental influences, or possible random effects in early development, must be considered.Additional information
Supplementary information -
Sønderby, I. E., Gústafsson, Ó., Doan, N. T., Hibar, D. P., Martin-Brevet, S., Abdellaoui, A., Ames, D., Amunts, K., Andersson, M., Armstrong, N. J., Bernard, M., Blackburn, N., Blangero, J., Boomsma, D. I., Bralten, J., Brattbak, H.-R., Brodaty, H., Brouwer, R. M., Bülow, R., Calhoun, V. and 133 moreSønderby, I. E., Gústafsson, Ó., Doan, N. T., Hibar, D. P., Martin-Brevet, S., Abdellaoui, A., Ames, D., Amunts, K., Andersson, M., Armstrong, N. J., Bernard, M., Blackburn, N., Blangero, J., Boomsma, D. I., Bralten, J., Brattbak, H.-R., Brodaty, H., Brouwer, R. M., Bülow, R., Calhoun, V., Caspers, S., Cavalleri, G., Chen, C.-H., Cichon, S., Ciufolini, S., Corvin, A., Crespo-Facorro, B., Curran, J. E., Dale, A. M., Dalvie, S., Dazzan, P., De Geus, E. J. C., De Zubicaray, G. I., De Zwarte, S. M. C., Delanty, N., Den Braber, A., Desrivières, S., Donohoe, G., Draganski, B., Ehrlich, S., Espeseth, T., Fisher, S. E., Franke, B., Frouin, V., Fukunaga, M., Gareau, T., Glahn, D. C., Grabe, H., Groenewold, N. A., Haavik, J., Håberg, A., Hashimoto, R., Hehir-Kwa, J. Y., Heinz, A., Hillegers, M. H. J., Hoffmann, P., Holleran, L., Hottenga, J.-J., Hulshoff, H. E., Ikeda, M., Jahanshad, N., Jernigan, T., Jockwitz, C., Johansson, S., Jonsdottir, G. A., Jönsson, E. G., Kahn, R., Kaufmann, T., Kelly, S., Kikuchi, M., Knowles, E. E. M., Kolskår, K. K., Kwok, J. B., Le Hellard, S., Leu, C., Liu, J., Lundervold, A. J., Lundervold, A., Martin, N. G., Mather, K., Mathias, S. R., McCormack, M., McMahon, K. L., McRae, A., Milaneschi, Y., Moreau, C., Morris, D., Mothersill, D., Mühleisen, T. W., Murray, R., Nordvik, J. E., Nyberg, L., Olde Loohuis, L. M., Ophoff, R., Paus, T., Pausova, Z., Penninx, B., Peralta, J. M., Pike, B., Prieto, C., Pudas, S., Quinlan, E., Quintana, D. S., Reinbold, C. S., Reis Marques, T., Reymond, A., Richard, G., Rodriguez-Herreros, B., Roiz-Santiañez, R., Rokicki, J., Rucker, J., Sachdev, P., Sanders, A.-M., Sando, S. B., Schmaal, L., Schofield, P. R., Schork, A. J., Schumann, G., Shin, J., Shumskaya, E., Sisodiya, S., Steen, V. M., Stein, D. J., Steinberg, S., Strike, L., Teumer, A., Thalamuthu, A., Tordesillas-Gutierrez, D., Turner, J., Ueland, T., Uhlmann, A., Ulfarsson, M. O., Van 't Ent, D., Van der Meer, D., Van Haren, N. E. M., Vaskinn, A., Vassos, E., Walters, G. B., Wang, Y., Wen, W., Whelan, C. D., Wittfeld, K., Wright, M., Yamamori, H., Zayats, T., Agartz, I., Westlye, L. T., Jacquemont, S., Djurovic, S., Stefansson, H., Stefansson, K., Thompson, P., & Andreassen, O. A. (2020). Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia. Molecular Psychiatry, 25, 584-602. doi:10.1038/s41380-018-0118-1.
Abstract
Carriers of large recurrent copy number variants (CNVs) have a higher risk of developing neurodevelopmental disorders. The 16p11.2 distal CNV predisposes carriers to e.g., autism spectrum disorder and schizophrenia. We compared subcortical brain volumes of 12 16p11.2 distal deletion and 12 duplication carriers to 6882 non-carriers from the large-scale brain Magnetic Resonance Imaging collaboration, ENIGMA-CNV. After stringent CNV calling procedures, and standardized FreeSurfer image analysis, we found negative dose-response associations with copy number on intracranial volume and on regional caudate, pallidum and putamen volumes (β = −0.71 to −1.37; P < 0.0005). In an independent sample, consistent results were obtained, with significant effects in the pallidum (β = −0.95, P = 0.0042). The two data sets combined showed significant negative dose-response for the accumbens, caudate, pallidum, putamen and ICV (P = 0.0032, 8.9 × 10−6, 1.7 × 10−9, 3.5 × 10−12 and 1.0 × 10−4, respectively). Full scale IQ was lower in both deletion and duplication carriers compared to non-carriers. This is the first brain MRI study of the impact of the 16p11.2 distal CNV, and we demonstrate a specific effect on subcortical brain structures, suggesting a neuropathological pattern underlying the neurodevelopmental syndromes -
Thompson, P. M., Jahanshad, N., Ching, C. R. K., Salminen, L. E., Thomopoulos, S. I., Bright, J., Baune, B. T., Bertolín, S., Bralten, J., Bruin, W. B., Bülow, R., Chen, J., Chye, Y., Dannlowski, U., De Kovel, C. G. F., Donohoe, G., Eyler, L. T., Faraone, S. V., Favre, P., Filippi, C. A. and 151 moreThompson, P. M., Jahanshad, N., Ching, C. R. K., Salminen, L. E., Thomopoulos, S. I., Bright, J., Baune, B. T., Bertolín, S., Bralten, J., Bruin, W. B., Bülow, R., Chen, J., Chye, Y., Dannlowski, U., De Kovel, C. G. F., Donohoe, G., Eyler, L. T., Faraone, S. V., Favre, P., Filippi, C. A., Frodl, T., Garijo, D., Gil, Y., Grabe, H. J., Grasby, K. L., Hajek, T., Han, L. K. M., Hatton, S. N., Hilbert, K., Ho, T. C., Holleran, L., Homuth, G., Hosten, N., Houenou, J., Ivanov, I., Jia, T., Kelly, S., Klein, M., Kwon, J. S., Laansma, M. A., Leerssen, J., Lueken, U., Nunes, A., O'Neill, J., Opel, N., Piras, F., Piras, F., Postema, M., Pozzi, E., Shatokhina, N., Soriano-Mas, C., Spalletta, G., Sun, D., Teumer, A., Tilot, A. K., Tozzi, L., Van der Merwe, C., Van Someren, E. J. W., Van Wingen, G. A., Völzke, H., Walton, E., Wang, L., Winkler, A. M., Wittfeld, K., Wright, M. J., Yun, J.-Y., Zhang, G., Zhang-James, Y., Adhikari, B. M., Agartz, I., Aghajani, M., Aleman, A., Althoff, R. R., Altmann, A., Andreassen, O. A., Baron, D. A., Bartnik-Olson, B. L., Bas-Hoogendam, J. M., Baskin-Sommers, A. R., Bearden, C. E., Berner, L. A., Boedhoe, P. S. W., Brouwer, R. M., Buitelaar, J. K., Caeyenberghs, K., Cecil, C. A. M., Cohen, R. A., Cole, J. H., Conrod, P. J., De Brito, S. A., De Zwarte, S. M. C., Dennis, E. L., Desrivieres, S., Dima, D., Ehrlich, S., Esopenko, C., Fairchild, G., Fisher, S. E., Fouche, J.-P., Francks, C., Frangou, S., Franke, B., Garavan, H. P., Glahn, D. C., Groenewold, N. A., Gurholt, T. P., Gutman, B. A., Hahn, T., Harding, I. H., Hernaus, D., Hibar, D. P., Hillary, F. G., Hoogman, M., Hulshoff Pol, H. E., Jalbrzikowski, M., Karkashadze, G. A., Klapwijk, E. T., Knickmeyer, R. C., Kochunov, P., Koerte, I. K., Kong, X., Liew, S.-L., Lin, A. P., Logue, M. W., Luders, E., Macciardi, F., Mackey, S., Mayer, A. R., McDonald, C. R., McMahon, A. B., Medland, S. E., Modinos, G., Morey, R. A., Mueller, S. C., Mukherjee, P., Namazova-Baranova, L., Nir, T. M., Olsen, A., Paschou, P., Pine, D. S., Pizzagalli, F., Rentería, M. E., Rohrer, J. D., Sämann, P. G., Schmaal, L., Schumann, G., Shiroishi, M. S., Sisodiya, S. M., Smit, D. J. A., Sønderby, I. E., Stein, D. J., Stein, J. L., Tahmasian, M., Tate, D. F., Turner, J. A., Van den Heuvel, O. A., Van der Wee, N. J. A., Van der Werf, Y. D., Van Erp, T. G. M., Van Haren, N. E. M., Van Rooij, D., Van Velzen, L. S., Veer, I. M., Veltman, D. J., Villalon-Reina, J. E., Walter, H., Whelan, C. D., Wilde, E. A., Zarei, M., Zelman, V., & Enigma Consortium (2020). ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries. Translational Psychiatry, 10(1): 100. doi:10.1038/s41398-020-0705-1.
Abstract
This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of “big data” (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA’s activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors.Additional information
41398_2020_705_MOESM1_ESM.pdf -
Thompson, P. A., Bishop, D. V. M., Eising, E., Fisher, S. E., & Newbury, D. F. (2020). Generalized Structured Component Analysis in candidate gene association studies: Applications and limitations [version 2; peer review: 3 approved]. Wellcome Open Research, 4: 142. doi:10.12688/wellcomeopenres.15396.2.
Abstract
Background: Generalized Structured Component Analysis (GSCA) is a component-based alternative to traditional covariance-based structural equation modelling. This method has previously been applied to test for association between candidate genes and clinical phenotypes, contrasting with traditional genetic association analyses that adopt univariate testing of many individual single nucleotide polymorphisms (SNPs) with correction for multiple testing.
Methods: We first evaluate the ability of the GSCA method to replicate two previous findings from a genetics association study of developmental language disorders. We then present the results of a simulation study to test the validity of the GSCA method under more restrictive data conditions, using smaller sample sizes and larger numbers of SNPs than have previously been investigated. Finally, we compare GSCA performance against univariate association analysis conducted using PLINK v1.9.
Results: Results from simulations show that power to detect effects depends not just on sample size, but also on the ratio of SNPs with effect to number of SNPs tested within a gene. Inclusion of many SNPs in a model dilutes true effects.
Conclusions: We propose that GSCA is a useful method for replication studies, when candidate SNPs have been identified, but should not be used for exploratory analysis.Additional information
data via OSF -
Urbanus, B. H. A., Peter, S., Fisher, S. E., & De Zeeuw, C. I. (2020). Region-specific Foxp2 deletions in cortex, striatum or cerebellum cannot explain vocalization deficits observed in spontaneous global knockouts. Scientific Reports, 10: 21631. doi:10.1038/s41598-020-78531-8.
Abstract
FOXP2 has been identified as a gene related to speech in humans, based on rare mutations that yield significant impairments in speech at the level of both motor performance and language comprehension. Disruptions of the murine orthologue Foxp2 in mouse pups have been shown to interfere with production of ultrasonic vocalizations (USVs). However, it remains unclear which structures are responsible for these deficits. Here, we show that conditional knockout mice with selective Foxp2 deletions targeting the cerebral cortex, striatum or cerebellum, three key sites of motor control with robust neural gene expression, do not recapture the profile of pup USV deficits observed in mice with global disruptions of this gene. Moreover, we observed that global Foxp2 knockout pups show substantive reductions in USV production as well as an overproduction of short broadband noise “clicks”, which was not present in the brain region-specific knockouts. These data indicate that deficits of Foxp2 expression in the cortex, striatum or cerebellum cannot solely explain the disrupted vocalization behaviours in global Foxp2 knockouts. Our findings raise the possibility that the impact of Foxp2 disruption on USV is mediated at least in part by effects of this gene on the anatomical prerequisites for vocalizing.Additional information
supplementary figures and table legends supplementary table 1 supplementary table 2 -
Van der Meer, D., Sønderby, I. E., Kaufmann, T., Walters, G. B., Abdellaoui, A., Ames, D., Amunts, K., Andersson, M., Armstrong, N. J., Bernard, M., Blackburn, N. B., Blangero, J., Boomsma, D. I., Brodaty, H., Brouwer, R. M., Bülow, R., Cahn, W., Calhoun, V. D., Caspers, S., Cavalleri, G. L. and 112 moreVan der Meer, D., Sønderby, I. E., Kaufmann, T., Walters, G. B., Abdellaoui, A., Ames, D., Amunts, K., Andersson, M., Armstrong, N. J., Bernard, M., Blackburn, N. B., Blangero, J., Boomsma, D. I., Brodaty, H., Brouwer, R. M., Bülow, R., Cahn, W., Calhoun, V. D., Caspers, S., Cavalleri, G. L., Ching, C. R. K., Cichon, S., Ciufolini, S., Corvin, A., Crespo-Facorro, B., Curran, J. E., Dalvie, S., Dazzan, P., De Geus, E. J. C., De Zubicaray, G. I., De Zwarte, S. M. C., Delanty, N., Den Braber, A., Desrivieres, S., Di Forti, M., Doherty, J. L., Donohoe, G., Ehrlich, S., Eising, E., Espeseth, T., Fisher, S. E., Fladby, T., Frei, O., Frouin, V., Fukunaga, M., Gareau, T., Glahn, D. C., Grabe, H. J., Groenewold, N. A., Gústafsson, Ó., Haavik, J., Haberg, A. K., Hashimoto, R., Hehir-Kwa, J. Y., Hibar, D. P., Hillegers, M. H. J., Hoffmann, P., Holleran, L., Hottenga, J.-J., Hulshoff Pol, H. E., Ikeda, M., Jacquemont, S., Jahanshad, N., Jockwitz, C., Johansson, S., Jönsson, E. G., Kikuchi, M., Knowles, E. E. M., Kwok, J. B., Le Hellard, S., Linden, D. E. J., Liu, J., Lundervold, A., Lundervold, A. J., Martin, N. G., Mather, K. A., Mathias, S. R., McMahon, K. L., McRae, A. F., Medland, S. E., Moberget, T., Moreau, C., Morris, D. W., Mühleisen, T. W., Murray, R. M., Nordvik, J. E., Nyberg, L., Olde Loohuis, L. M., Ophoff, R. A., Owen, M. J., Paus, T., Pausova, Z., Peralta, J. M., Pike, B., Prieto, C., Quinlan, E. B., Reinbold, C. S., Reis Marques, T., Rucker, J. J. H., Sachdev, P. S., Sando, S. B., Schofield, P. R., Schork, A. J., Schumann, G., Shin, J., Shumskaya, E., Silva, A. I., Sisodiya, S. M., Steen, V. M., Stein, D. J., Strike, L. T., Tamnes, C. K., Teumer, A., Thalamuthu, A., Tordesillas-Gutiérrez, D., Uhlmann, A., Úlfarsson, M. Ö., Van 't Ent, D., Van den Bree, M. B. M., Vassos, E., Wen, W., Wittfeld, K., Wright, M. J., Zayats, T., Dale, A. M., Djurovic, S., Agartz, I., Westlye, L. T., Stefánsson, H., Stefánsson, K., Thompson, P. M., & Andreassen, O. A. (2020). Association of copy number variation of the 15q11.2 BP1-BP2 region with cortical and subcortical morphology and cognition. JAMA Psychiatry, 77(4), 420-430. doi:10.1001/jamapsychiatry.2019.3779.
Abstract
Importance Recurrent microdeletions and duplications in the genomic region 15q11.2 between breakpoints 1 (BP1) and 2 (BP2) are associated with neurodevelopmental disorders. These structural variants are present in 0.5% to 1.0% of the population, making 15q11.2 BP1-BP2 the site of the most prevalent known pathogenic copy number variation (CNV). It is unknown to what extent this CNV influences brain structure and affects cognitive abilities.
Objective To determine the association of the 15q11.2 BP1-BP2 deletion and duplication CNVs with cortical and subcortical brain morphology and cognitive task performance.
Design, Setting, and Participants In this genetic association study, T1-weighted brain magnetic resonance imaging were combined with genetic data from the ENIGMA-CNV consortium and the UK Biobank, with a replication cohort from Iceland. In total, 203 deletion carriers, 45 247 noncarriers, and 306 duplication carriers were included. Data were collected from August 2015 to April 2019, and data were analyzed from September 2018 to September 2019.
Main Outcomes and Measures The associations of the CNV with global and regional measures of surface area and cortical thickness as well as subcortical volumes were investigated, correcting for age, age2, sex, scanner, and intracranial volume. Additionally, measures of cognitive ability were analyzed in the full UK Biobank cohort.
Results Of 45 756 included individuals, the mean (SD) age was 55.8 (18.3) years, and 23 754 (51.9%) were female. Compared with noncarriers, deletion carriers had a lower surface area (Cohen d = −0.41; SE, 0.08; P = 4.9 × 10−8), thicker cortex (Cohen d = 0.36; SE, 0.07; P = 1.3 × 10−7), and a smaller nucleus accumbens (Cohen d = −0.27; SE, 0.07; P = 7.3 × 10−5). There was also a significant negative dose response on cortical thickness (β = −0.24; SE, 0.05; P = 6.8 × 10−7). Regional cortical analyses showed a localization of the effects to the frontal, cingulate, and parietal lobes. Further, cognitive ability was lower for deletion carriers compared with noncarriers on 5 of 7 tasks.
Conclusions and Relevance These findings, from the largest CNV neuroimaging study to date, provide evidence that 15q11.2 BP1-BP2 structural variation is associated with brain morphology and cognition, with deletion carriers being particularly affected. The pattern of results fits with known molecular functions of genes in the 15q11.2 BP1-BP2 region and suggests involvement of these genes in neuronal plasticity. These neurobiological effects likely contribute to the association of this CNV with neurodevelopmental disorders. -
Van der Meer, D., Rokicki, J., Kaufmann, T., Córdova-Palomera, A., Moberget, T., Alnæs, D., Bettella, F., Frei, O., Trung Doan, N., Sønderby, I. E., Smeland, O. B., Agartz, I., Bertolino, A., Bralten, J., Brandt, C. L., Buitelaar, J. K., Djurovic, S., Van Donkelaar, M. M. J., Dørum, E. S., Espeseth, T. and 34 moreVan der Meer, D., Rokicki, J., Kaufmann, T., Córdova-Palomera, A., Moberget, T., Alnæs, D., Bettella, F., Frei, O., Trung Doan, N., Sønderby, I. E., Smeland, O. B., Agartz, I., Bertolino, A., Bralten, J., Brandt, C. L., Buitelaar, J. K., Djurovic, S., Van Donkelaar, M. M. J., Dørum, E. S., Espeseth, T., Faraone, S. V., Fernandez, G., Fisher, S. E., Franke, B., Haatveit, B., Hartman, C., Hoekstra, P. J., Haberg, A. K., Jönsson, E. G., Kolskår, K. K., Le Hellard, S., Lund, M. J., Lundervold, A. J., Lundervold, A., Melle, I., Monereo Sánchez, J., Norbom, L. C., Nordvik, J. E., Nyberg, L., Oosterlaan, J., Papalino, M., Papassotiropoulos, A., Pergola, G., De Quervain, D. J. F., Richard, G., Sanders, A.-M., Selvaggi, P., Shumskaya, E., Steen, V. M., Tønnesen, S., Ulrichsen, K. M., Zwiers, M., Andreassen, O. A., & Westlye, L. T. (2020). Brain scans from 21297 individuals reveal the genetic architecture of hippocampal subfield volumes. Molecular Psychiatry, 25, 3053-3065. doi:10.1038/s41380-018-0262-7.
Abstract
The hippocampus is a heterogeneous structure, comprising histologically distinguishable subfields. These subfields are differentially involved in memory consolidation, spatial navigation and pattern separation, complex functions often impaired in individuals with brain disorders characterized by reduced hippocampal volume, including Alzheimer’s disease (AD) and schizophrenia. Given the structural and functional heterogeneity of the hippocampal formation, we sought to characterize the subfields’ genetic architecture. T1-weighted brain scans (n = 21,297, 16 cohorts) were processed with the hippocampal subfields algorithm in FreeSurfer v6.0. We ran a genome-wide association analysis on each subfield, co-varying for whole hippocampal volume. We further calculated the single-nucleotide polymorphism (SNP)-based heritability of 12 subfields, as well as their genetic correlation with each other, with other structural brain features and with AD and schizophrenia. All outcome measures were corrected for age, sex and intracranial volume. We found 15 unique genome-wide significant loci across six subfields, of which eight had not been previously linked to the hippocampus. Top SNPs were mapped to genes associated with neuronal differentiation, locomotor behaviour, schizophrenia and AD. The volumes of all the subfields were estimated to be heritable (h2 from 0.14 to 0.27, all p < 1 × 10–16) and clustered together based on their genetic correlations compared with other structural brain features. There was also evidence of genetic overlap of subicular subfield volumes with schizophrenia. We conclude that hippocampal subfields have partly distinct genetic determinants associated with specific biological processes and traits. Taking into account this specificity may increase our understanding of hippocampal neurobiology and associated pathologies.Additional information
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