Displaying 1 - 16 of 16
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Hegemann, L., Eilertsen, E., Hagen Pettersen, J., Corfield, E. C., Cheesman, R., Frach, L., Daae Bjørndal, L., Ask, H., St Pourcain, B., Havdahl, A., & Hannigan, L. J. (2025). Direct and indirect genetic effects on early neurodevelopmental traits. The Journal of Child Psychology and Psychiatry. Advance online publication. doi:10.1111/jcpp.14122.
Abstract
Background
Neurodevelopmental conditions are highly heritable. Recent studies have shown that genomic heritability estimates can be confounded by genetic effects mediated via the environment (indirect genetic effects). However, the relative importance of direct versus indirect genetic effects on early variability in traits related to neurodevelopmental conditions is unknown.
Methods
The sample included up to 24,692 parent-offspring trios from the Norwegian MoBa cohort. We use Trio-GCTA to estimate latent direct and indirect genetic effects on mother-reported neurodevelopmental traits at age of 3 years (restricted and repetitive behaviors and interests, inattention, hyperactivity, language, social, and motor development). Further, we investigate to what extent direct and indirect effects are attributable to common genetic variants associated with autism, ADHD, developmental dyslexia, educational attainment, and cognitive ability using polygenic scores (PGS) in regression modeling.
Results
We find evidence for contributions of direct and indirect latent common genetic effects to inattention (direct: explaining 4.8% of variance, indirect: 6.7%) hyperactivity (direct: 1.3%, indirect: 9.6%), and restricted and repetitive behaviors (direct: 0.8%, indirect: 7.3%). Direct effects best explained variation in social and communication, language, and motor development (5.1%–5.7%). Direct genetic effects on inattention were captured by PGS for ADHD, educational attainment, and cognitive ability, whereas direct genetic effects on language development were captured by cognitive ability, educational attainment, and autism PGS. Indirect genetic effects on neurodevelopmental traits were primarily captured by educational attainment and/or cognitive ability PGS.
Conclusions
Results were consistent with differential contributions to neurodevelopmental traits in early childhood from direct and indirect genetic effects. Indirect effects were particularly important for hyperactivity and restricted and repetitive behaviors and interests and may be linked to genetic variation associated with cognition and educational attainment. Our findings illustrate the importance of within-family methods for disentangling genetic processes that influence early neurodevelopmental traits, even when identifiable associations are small.
Additional information
supplemental material -
Bønnelykke, K., Matheson, M. C., Pers, T. H., Granell, R., Strachan, D. P., Alves, A. C., Linneberg, A., Curtin, J. A., Warrington, N. M., Standl, M., Kerkhof, M., Jonsdottir, I., Bukvic, B. K., Kaakinen, M., Sleimann, P., Thorleifsson, G., Thorsteinsdottir, U., Schramm, K., Baltic, S., Kreiner-Møller, E. and 47 moreBønnelykke, K., Matheson, M. C., Pers, T. H., Granell, R., Strachan, D. P., Alves, A. C., Linneberg, A., Curtin, J. A., Warrington, N. M., Standl, M., Kerkhof, M., Jonsdottir, I., Bukvic, B. K., Kaakinen, M., Sleimann, P., Thorleifsson, G., Thorsteinsdottir, U., Schramm, K., Baltic, S., Kreiner-Møller, E., Simpson, A., St Pourcain, B., Coin, L., Hui, J., Walters, E. H., Tiesler, C. M. T., Duffy, D. L., Jones, G., Ring, S. M., McArdle, W. L., Price, L., Robertson, C. F., Pekkanen, J., Tang, C. S., Thiering, E., Montgomery, G. W., Hartikainen, A.-L., Dharmage, S. C., Husemoen, L. L., Herder, C., Kemp, J. P., Elliot, P., James, A., Waldenberger, M., Abramson, M. J., Fairfax, B. P., Knight, J. C., Gupta, R., Thompson, P. J., Holt, P., Sly, P., Hirschhorn, J. N., Blekic, M., Weidinger, S., Hakonarsson, H., Stefansson, K., Heinrich, J., Postma, D. S., Custovic, A., Pennell, C. E., Jarvelin, M.-R., Koppelman, G. H., Timpson, N., Ferreira, M. A., Bisgaard, H., Henderson, A. J., Australian Asthma Genetics Consortium (AAGC), & EArly Genetics and Lifecourse Epidemiology (EAGLE) Consortium (2013). Meta-analysis of genome-wide association studies identifies ten loci influencing allergic sensitization. Nature Genetics, 45(8), 902-906. doi:10.1038/ng.2694.
Abstract
Allergen-specific immunoglobulin E (present in allergic sensitization) has a central role in the pathogenesis of allergic disease. We performed the first large-scale genome-wide association study (GWAS) of allergic sensitization in 5,789 affected individuals and 10,056 controls and followed up the top SNP at each of 26 loci in 6,114 affected individuals and 9,920 controls. We increased the number of susceptibility loci with genome-wide significant association with allergic sensitization from three to ten, including SNPs in or near TLR6, C11orf30, STAT6, SLC25A46, HLA-DQB1, IL1RL1, LPP, MYC, IL2 and HLA-B. All the top SNPs were associated with allergic symptoms in an independent study. Risk-associated variants at these ten loci were estimated to account for at least 25% of allergic sensitization and allergic rhinitis. Understanding the molecular mechanisms underlying these associations may provide new insights into the etiology of allergic disease. -
Brandler, W. M., Morris, A. P., Evans, D. M., Scerri, T. S., Kemp, J. P., Timpson, N. J., St Pourcain, B., Davey Smith, G., Ring, S. M., Stein, J., Monaco, A. P., Talcott, J. B., Fisher, S. E., Webber, C., & Paracchini, S. (2013). Common variants in left/right asymmetry genes and pathways are associated with relative hand skill. PLoS Genetics, 9(9): e1003751. doi:10.1371/journal.pgen.1003751.
Abstract
Humans display structural and functional asymmetries in brain organization, strikingly with respect to language and handedness. The molecular basis of these asymmetries is unknown. We report a genome-wide association study meta-analysis for a quantitative measure of relative hand skill in individuals with dyslexia [reading disability (RD)] (n = 728). The most strongly associated variant, rs7182874 (P = 8.68×10−9), is located in PCSK6, further supporting an association we previously reported. We also confirmed the specificity of this association in individuals with RD; the same locus was not associated with relative hand skill in a general population cohort (n = 2,666). As PCSK6 is known to regulate NODAL in the development of left/right (LR) asymmetry in mice, we developed a novel approach to GWAS pathway analysis, using gene-set enrichment to test for an over-representation of highly associated variants within the orthologs of genes whose disruption in mice yields LR asymmetry phenotypes. Four out of 15 LR asymmetry phenotypes showed an over-representation (FDR≤5%). We replicated three of these phenotypes; situs inversus, heterotaxia, and double outlet right ventricle, in the general population cohort (FDR≤5%). Our findings lead us to propose that handedness is a polygenic trait controlled in part by the molecular mechanisms that establish LR body asymmetry early in development.Additional information
http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1003751#s5 -
Cousminer, D. L., Berry, D. J., Timpson, N. J., Ang, W., Thiering, E., Byrne, E. M., Taal, H. R., Huikari, V., Bradfield, J. P., Kerkhof, M., Groen-Blokhuis, M. M., Kreiner-Møller, E., Marinelli, M., Holst, C., Leinonen, J. T., Perry, J. R. B., Surakka, I., Pietiläinen, O., Kettunen, J., Anttila, V. and 50 moreCousminer, D. L., Berry, D. J., Timpson, N. J., Ang, W., Thiering, E., Byrne, E. M., Taal, H. R., Huikari, V., Bradfield, J. P., Kerkhof, M., Groen-Blokhuis, M. M., Kreiner-Møller, E., Marinelli, M., Holst, C., Leinonen, J. T., Perry, J. R. B., Surakka, I., Pietiläinen, O., Kettunen, J., Anttila, V., Kaakinen, M., Sovio, U., Pouta, A., Das, S., Lagou, V., Power, C., Prokopenko, I., Evans, D. M., Kemp, J. P., St Pourcain, B., Ring, S., Palotie, A., Kajantie, E., Osmond, C., Lehtimäki, T., Viikari, J. S., Kähönen, M., Warrington, N. M., Lye, S. J., Palmer, L. J., Tiesler, C. M. T., Flexeder, C., Montgomery, G. W., Medland, S. E., Hofman, A., Hakonarson, H., Guxens, M., Bartels, M., Salomaa, V., Murabito, J. M., Kaprio, J., Sørensen, T. I. A., Ballester, F., Bisgaard, H., Boomsma, D. I., Koppelman, G. H., Grant, S. F. A., Jaddoe, V. W. V., Martin, N. G., Heinrich, J., Pennell, C. E., Raitakari, O. T., Eriksson, J. G., Smith, G. D., Hyppönen, E., Järvelin, M.-R., McCarthy, M. I., Ripatti, S., Widén, E., Consortium ReproGen, & Consortium Early Growth Genetics (EGG) (2013). Genome-wide association and longitudinal analyses reveal genetic loci linking pubertal height growth, pubertal timing and childhood adiposity. Human Molecular Genetics, 22(13), 2735-2747. doi:10.1093/hmg/ddt104.
Abstract
The pubertal height growth spurt is a distinctive feature of childhood growth reflecting both the central onset of puberty and local growth factors. Although little is known about the underlying genetics, growth variability during puberty correlates with adult risks for hormone-dependent cancer and adverse cardiometabolic health. The only gene so far associated with pubertal height growth, LIN28B, pleiotropically influences childhood growth, puberty and cancer progression, pointing to shared underlying mechanisms. To discover genetic loci influencing pubertal height and growth and to place them in context of overall growth and maturation, we performed genome-wide association meta-analyses in 18 737 European samples utilizing longitudinally collected height measurements. We found significant associations (P < 1.67 × 10(-8)) at 10 loci, including LIN28B. Five loci associated with pubertal timing, all impacting multiple aspects of growth. In particular, a novel variant correlated with expression of MAPK3, and associated both with increased prepubertal growth and earlier menarche. Another variant near ADCY3-POMC associated with increased body mass index, reduced pubertal growth and earlier puberty. Whereas epidemiological correlations suggest that early puberty marks a pathway from rapid prepubertal growth to reduced final height and adult obesity, our study shows that individual loci associating with pubertal growth have variable longitudinal growth patterns that may differ from epidemiological observations. Overall, this study uncovers part of the complex genetic architecture linking pubertal height growth, the timing of puberty and childhood obesity and provides new information to pinpoint processes linking these traits. -
den Hoed, M., Eijgelsheim, M., Esko, T., Brundel, B. J. J. M., Peal, D. S., Evans, D. M., Nolte, I. M., Segrè, A. V., Holm, H., Handsaker, R. E., Westra, H.-J., Johnson, T., Isaacs, A., Yang, J., Lundby, A., Zhao, J. H., Kim, Y. J., Go, M. J., Almgren, P., Bochud, M. and 249 moreden Hoed, M., Eijgelsheim, M., Esko, T., Brundel, B. J. J. M., Peal, D. S., Evans, D. M., Nolte, I. M., Segrè, A. V., Holm, H., Handsaker, R. E., Westra, H.-J., Johnson, T., Isaacs, A., Yang, J., Lundby, A., Zhao, J. H., Kim, Y. J., Go, M. J., Almgren, P., Bochud, M., Boucher, G., Cornelis, M. C., Gudbjartsson, D., Hadley, D., van der Harst, P., Hayward, C., den Heijer, M., Igl, W., Jackson, A. U., Kutalik, Z., Luan, J., Kemp, J. P., Kristiansson, K., Ladenvall, C., Lorentzon, M., Montasser, M. E., Njajou, O. T., O'Reilly, P. F., Padmanabhan, S., St Pourcain, B., Rankinen, T., Salo, P., Tanaka, T., Timpson, N. J., Vitart, V., Waite, L., Wheeler, W., Zhang, W., Draisma, H. H. M., Feitosa, M. F., Kerr, K. F., Lind, P. A., Mihailov, E., Onland-Moret, N. C., Song, C., Weedon, M. N., Xie, W., Yengo, L., Absher, D., Albert, C. M., Alonso, A., Arking, D. E., de Bakker, P. I. W., Balkau, B., Barlassina, C., Benaglio, P., Bis, J. C., Bouatia-Naji, N., Brage, S., Chanock, S. J., Chines, P. S., Chung, M., Darbar, D., Dina, C., Dörr, M., Elliott, P., Felix, S. B., Fischer, K., Fuchsberger, C., de Geus, E. J. C., Goyette, P., Gudnason, V., Harris, T. B., Hartikainen, A.-L., Havulinna, A. S., Heckbert, S. R., Hicks, A. A., Hofman, A., Holewijn, S., Hoogstra-Berends, F., Hottenga, J.-J., Jensen, M. K., Johansson, A., Junttila, J., Kääb, S., Kanon, B., Ketkar, S., Khaw, K.-T., Knowles, J. W., Kooner, A. S., Kors, J. A., Kumari, M., Milani, L., Laiho, P., Lakatta, E. G., Langenberg, C., Leusink, M., Liu, Y., Luben, R. N., Lunetta, K. L., Lynch, S. N., Markus, M. R. P., Marques-Vidal, P., Mateo Leach, I., McArdle, W. L., McCarroll, S. A., Medland, S. E., Miller, K. A., Montgomery, G. W., Morrison, A. C., Müller-Nurasyid, M., Navarro, P., Nelis, M., O'Connell, J. R., O'Donnell, C. J., Ong, K. K., Newman, A. B., Peters, A., Polasek, O., Pouta, A., Pramstaller, P. P., Psaty, B. M., Rao, D. C., Ring, S. M., Rossin, E. J., Rudan, D., Sanna, S., Scott, R. A., Sehmi, J. S., Sharp, S., Shin, J. T., Singleton, A. B., Smith, A. V., Soranzo, N., Spector, T. D., Stewart, C., Stringham, H. M., Tarasov, K. V., Uitterlinden, A. G., Vandenput, L., Hwang, S.-J., Whitfield, J. B., Wijmenga, C., Wild, S. H., Willemsen, G., Wilson, J. F., Witteman, J. C. M., Wong, A., Wong, Q., Jamshidi, Y., Zitting, P., Boer, J. M. A., Boomsma, D. I., Borecki, I. B., van Duijn, C. M., Ekelund, U., Forouhi, N. G., Froguel, P., Hingorani, A., Ingelsson, E., Kivimaki, M., Kronmal, R. A., Kuh, D., Lind, L., Martin, N. G., Oostra, B. A., Pedersen, N. L., Quertermous, T., Rotter, J. I., van der Schouw, Y. T., Verschuren, W. M. M., Walker, M., Albanes, D., Arnar, D. O., Assimes, T. L., Bandinelli, S., Boehnke, M., de Boer, R. A., Bouchard, C., Caulfield, W. L. M., Chambers, J. C., Curhan, G., Cusi, D., Eriksson, J., Ferrucci, L., van Gilst, W. H., Glorioso, N., de Graaf, J., Groop, L., Gyllensten, U., Hsueh, W.-C., Hu, F. B., Huikuri, H. V., Hunter, D. J., Iribarren, C., Isomaa, B., Jarvelin, M.-R., Jula, A., Kähönen, M., Kiemeney, L. A., van der Klauw, M. M., Kooner, J. S., Kraft, P., Iacoviello, L., Lehtimäki, T., Lokki, M.-L.-L., Mitchell, B. D., Navis, G., Nieminen, M. S., Ohlsson, C., Poulter, N. R., Qi, L., Raitakari, O. T., Rimm, E. B., Rioux, J. D., Rizzi, F., Rudan, I., Salomaa, V., Sever, P. S., Shields, D. C., Shuldiner, A. R., Sinisalo, J., Stanton, A. V., Stolk, R. P., Strachan, D. P., Tardif, J.-C., Thorsteinsdottir, U., Tuomilehto, J., van Veldhuisen, D. J., Virtamo, J., Viikari, J., Vollenweider, P., Waeber, G., Widen, E., Cho, Y. S., Olsen, J. V., Visscher, P. M., Willer, C., Franke, L., Erdmann, J., Thompson, J. R., Pfeufer, A., Sotoodehnia, N., Newton-Cheh, C., Ellinor, P. T., Stricker, B. H. C., Metspalu, A., Perola, M., Beckmann, J. S., Smith, G. D., Stefansson, K., Wareham, N. J., Munroe, P. B., Sibon, O. C. M., Milan, D. J., Snieder, H., Samani, N. J., Loos, R. J. F., Global BPgen Consortium, CARDIoGRAM Consortium, PR GWAS Consortium, QRS GWAS Consortium, QT-IGC Consortium, & CHARGE-AF Consortium (2013). Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders. Nature Genetics, 45(6), 621-631. doi:10.1038/ng.2610.
Abstract
Elevated resting heart rate is associated with greater risk of cardiovascular disease and mortality. In a 2-stage meta-analysis of genome-wide association studies in up to 181,171 individuals, we identified 14 new loci associated with heart rate and confirmed associations with all 7 previously established loci. Experimental downregulation of gene expression in Drosophila melanogaster and Danio rerio identified 20 genes at 11 loci that are relevant for heart rate regulation and highlight a role for genes involved in signal transmission, embryonic cardiac development and the pathophysiology of dilated cardiomyopathy, congenital heart failure and/or sudden cardiac death. In addition, genetic susceptibility to increased heart rate is associated with altered cardiac conduction and reduced risk of sick sinus syndrome, and both heart rate-increasing and heart rate-decreasing variants associate with risk of atrial fibrillation. Our findings provide fresh insights into the mechanisms regulating heart rate and identify new therapeutic targets.Additional information
http://www.nature.com/ng/journal/v45/n6/full/ng.2610.html#supplementary-informa… -
Eicher, J. D., Powers, N. R., Miller, L. L., Akshoomoff, N., Amaral, D. G., Bloss, C. S., Libiger, O., Schork, N. J., Darst, B. F., Casey, B. J., Chang, L., Ernst, T., Frazier, J., Kaufmann, W. E., Keating, B., Kenet, T., Kennedy, D., Mostofsky, S., Murray, S. S., Sowell, E. R. and 11 moreEicher, J. D., Powers, N. R., Miller, L. L., Akshoomoff, N., Amaral, D. G., Bloss, C. S., Libiger, O., Schork, N. J., Darst, B. F., Casey, B. J., Chang, L., Ernst, T., Frazier, J., Kaufmann, W. E., Keating, B., Kenet, T., Kennedy, D., Mostofsky, S., Murray, S. S., Sowell, E. R., Bartsch, H., Kuperman, J. M., Brown, T. T., Hagler, D. J., Dale, A. M., Jernigan, T. L., St Pourcain, B., Davey Smith, G., Ring, S. M., Gruen, J. R., & Pediatric Imaging, Neurocognition, and Genetics Study (2013). Genome-wide association study of shared components of reading disability and language impairment. Genes, Brain and Behavior, 12(8), 792-801. doi:10.1111/gbb.12085.
Abstract
Written and verbal languages are neurobehavioral traits vital to the development of communication skills. Unfortunately, disorders involving these traits-specifically reading disability (RD) and language impairment (LI)-are common and prevent affected individuals from developing adequate communication skills, leaving them at risk for adverse academic, socioeconomic and psychiatric outcomes. Both RD and LI are complex traits that frequently co-occur, leading us to hypothesize that these disorders share genetic etiologies. To test this, we performed a genome-wide association study on individuals affected with both RD and LI in the Avon Longitudinal Study of Parents and Children. The strongest associations were seen with markers in ZNF385D (OR = 1.81, P = 5.45 × 10(-7) ) and COL4A2 (OR = 1.71, P = 7.59 × 10(-7) ). Markers within NDST4 showed the strongest associations with LI individually (OR = 1.827, P = 1.40 × 10(-7) ). We replicated association of ZNF385D using receptive vocabulary measures in the Pediatric Imaging Neurocognitive Genetics study (P = 0.00245). We then used diffusion tensor imaging fiber tract volume data on 16 fiber tracts to examine the implications of replicated markers. ZNF385D was a predictor of overall fiber tract volumes in both hemispheres, as well as global brain volume. Here, we present evidence for ZNF385D as a candidate gene for RD and LI. The implication of transcription factor ZNF385D in RD and LI underscores the importance of transcriptional regulation in the development of higher order neurocognitive traits. Further study is necessary to discern target genes of ZNF385D and how it functions within neural development of fluent language. -
Evans, D. M., Zhu, G., Dy, V., Heath, A. C., Madden, P. A. F., Kemp, J. P., McMahon, G., St Pourcain, B., Timpson, N. J., Golding, J., Lawlor, D. A., Steer, C., Montgomery, G. W., Martin, N. G., Smith, G. D., & Whitfield, J. B. (2013). Genome-wide association study identifies loci affecting blood copper, selenium and zinc. Human Molecular Genetics, 22(19), 3998-4006. doi:10.1093/hmg/ddt239.
Abstract
Genetic variation affecting absorption, distribution or excretion of essential trace elements may lead to health effects related to sub-clinical deficiency. We have tested for allelic effects of single-nucleotide polymorphisms (SNPs) on blood copper, selenium and zinc in a genome-wide association study using two adult cohorts from Australia and the UK. Participants were recruited in Australia from twins and their families and in the UK from pregnant women. We measured erythrocyte Cu, Se and Zn (Australian samples) or whole blood Se (UK samples) using inductively coupled plasma mass spectrometry. Genotyping was performed with Illumina chips and > 2.5 m SNPs were imputed from HapMap data. Genome-wide significant associations were found for each element. For Cu, there were two loci on chromosome 1 (most significant SNPs rs1175550, P = 5.03 × 10(-10), and rs2769264, P = 2.63 × 10(-20)); for Se, a locus on chromosome 5 was significant in both cohorts (combined P = 9.40 × 10(-28) at rs921943); and for Zn three loci on chromosomes 8, 15 and X showed significant results (rs1532423, P = 6.40 × 10(-12); rs2120019, P = 1.55 × 10(-18); and rs4826508, P = 1.40 × 10(-12), respectively). The Se locus covers three genes involved in metabolism of sulphur-containing amino acids and potentially of the analogous Se compounds; the chromosome 8 locus for Zn contains multiple genes for the Zn-containing enzyme carbonic anhydrase. Where potentially relevant genes were identified, they relate to metabolism of the element (Se) or to the presence at high concentration of a metal-containing protein (Cu).Additional information
http://hmg.oxfordjournals.org/content/22/19/3998/suppl/DC1 -
Evans, D. M., Brion, M. J. A., Paternoster, L., Kemp, J. P., McMahon, G., Munafò, M., Whitfield, J. B., Medland, S. E., Montgomery, G. W., Timpson, N. J., St Pourcain, B., Lawlor, D. A., Martin, N. G., Dehghan, A., Hirschhorn, J., Davey Smith, G., The GIANT consortium, The CRP consortium, & The TAG Consortium (2013). Mining the Human Phenome Using Allelic Scores That Index Biological Intermediates. PLoS Genet, 9(10): e1003919. doi:10.1371/journal.pgen.1003919.
Abstract
Author SummaryThe standard approach in genome-wide association studies is to analyse the relationship between genetic variants and disease one marker at a time. Significant associations between markers and disease are then used as evidence to implicate biological intermediates and pathways likely to be involved in disease aetiology. However, single genetic variants typically only explain small amounts of disease risk. Our idea is to construct allelic scores that explain greater proportions of the variance in biological intermediates than single markers, and then use these scores to data mine genome-wide association studies. We show how allelic scores derived from known variants as well as allelic scores derived from hundreds of thousands of genetic markers across the genome explain significant portions of the variance in body mass index, levels of C-reactive protein, and LDLc cholesterol, and many of these scores show expected correlations with disease. Power calculations confirm the feasibility of scaling our strategy to the analysis of tens of thousands of molecular phenotypes in large genome-wide meta-analyses. Our method represents a simple way in which tens of thousands of molecular phenotypes could be screened for potential causal relationships with disease.Additional information
http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1003919#s5 -
Fatemifar, G., Hoggart, C. J., Paternoster, L., Kemp, J. P., Prokopenko, I., Horikoshi, M., Wright, V. J., Tobias, J. H., Richmond, S., Zhurov, A. I., Toma, A. M., Pouta, A., Taanila, A., Sipila, K., Lähdesmäki, R., Pillas, D., Geller, F., Feenstra, B., Melbye, M., Nohr, E. A. and 6 moreFatemifar, G., Hoggart, C. J., Paternoster, L., Kemp, J. P., Prokopenko, I., Horikoshi, M., Wright, V. J., Tobias, J. H., Richmond, S., Zhurov, A. I., Toma, A. M., Pouta, A., Taanila, A., Sipila, K., Lähdesmäki, R., Pillas, D., Geller, F., Feenstra, B., Melbye, M., Nohr, E. A., Ring, S. M., St Pourcain, B., Timpson, N. J., Davey Smith, G., Jarvelin, M.-R., & Evans, D. M. (2013). Genome-wide association study of primary tooth eruption identifies pleiotropic loci associated with height and craniofacial distances. Human Molecular Genetics, 22(18), 3807-3817. doi:10.1093/hmg/ddt231.
Abstract
Twin and family studies indicate that the timing of primary tooth eruption is highly heritable, with estimates typically exceeding 80%. To identify variants involved in primary tooth eruption, we performed a population-based genome-wide association study of 'age at first tooth' and 'number of teeth' using 5998 and 6609 individuals, respectively, from the Avon Longitudinal Study of Parents and Children (ALSPAC) and 5403 individuals from the 1966 Northern Finland Birth Cohort (NFBC1966). We tested 2 446 724 SNPs imputed in both studies. Analyses were controlled for the effect of gestational age, sex and age of measurement. Results from the two studies were combined using fixed effects inverse variance meta-analysis. We identified a total of 15 independent loci, with 10 loci reaching genome-wide significance (P < 5 × 10(-8)) for 'age at first tooth' and 11 loci for 'number of teeth'. Together, these associations explain 6.06% of the variation in 'age of first tooth' and 4.76% of the variation in 'number of teeth'. The identified loci included eight previously unidentified loci, some containing genes known to play a role in tooth and other developmental pathways, including an SNP in the protein-coding region of BMP4 (rs17563, P = 9.080 × 10(-17)). Three of these loci, containing the genes HMGA2, AJUBA and ADK, also showed evidence of association with craniofacial distances, particularly those indexing facial width. Our results suggest that the genome-wide association approach is a powerful strategy for detecting variants involved in tooth eruption, and potentially craniofacial growth and more generally organ development.Additional information
http://hmg.oxfordjournals.org/content/22/18/3807/suppl/DC1 -
Hinds, D. A., McMahon, G., Kiefer, A. K., Do, C. B., Eriksson, N., Evans, D. M., St Pourcain, B., Ring, S. M., Mountain, J. L., Francke, U., Davey-Smith, G., Timpson, N. J., & Tung, J. Y. (2013). A genome-wide association meta-analysis of self-reported allergy identifies shared and allergy-specific susceptibility loci. Nat Genet, 45(8), 907-911. doi:10.1038/ng.2686.
Abstract
Allergic disease is very common and carries substantial public-health burdens. We conducted a meta-analysis of genome-wide associations with self-reported cat, dust-mite and pollen allergies in 53,862 individuals. We used generalized estimating equations to model shared and allergy-specific genetic effects. We identified 16 shared susceptibility loci with association P<5×10(-8), including 8 loci previously associated with asthma, as well as 4p14 near TLR1, TLR6 and TLR10 (rs2101521, P=5.3×10(-21)); 6p21.33 near HLA-C and MICA (rs9266772, P=3.2×10(-12)); 5p13.1 near PTGER4 (rs7720838, P=8.2×10(-11)); 2q33.1 in PLCL1 (rs10497813, P=6.1×10(-10)), 3q28 in LPP (rs9860547, P=1.2×10(-9)); 20q13.2 in NFATC2 (rs6021270, P=6.9×10(-9)), 4q27 in ADAD1 (rs17388568, P=3.9×10(-8)); and 14q21.1 near FOXA1 and TTC6 (rs1998359, P=4.8×10(-8)). We identified one locus with substantial evidence of differences in effects across allergies at 6p21.32 in the class II human leukocyte antigen (HLA) region (rs17533090, P=1.7×10(-12)), which was strongly associated with cat allergy. Our study sheds new light on the shared etiology of immune and autoimmune disease.Additional information
http://www.nature.com/ng/journal/v45/n8/full/ng.2686.html#supplementary-informa… -
Julvez, J., Smith, G. D., Golding, J., Ring, S., St Pourcain, B., Gonzalez, J. R., & Grandjean, P. (2013). Prenatal methylmercury exposure and genetic predisposition to cognitive deficit at age 8 years. Epidemiology, 24(5), 643-650. doi:10.1097/EDE.0b013e31829d5c93.
Abstract
BACKGROUND: Cognitive consequences at school age associated with prenatal methylmercury (MeHg) exposure may need to take into account nutritional and sociodemographic cofactors as well as relevant genetic polymorphisms. METHODS: A subsample (n = 1,311) of the Avon Longitudinal Study of Parents and Children (Bristol, UK) was selected, and mercury (Hg) concentrations were measured in freeze-dried umbilical cord tissue as a measure of MeHg exposure. A total of 1135 children had available data on 247 single-nucleotide polymorphisms (SNPs) within relevant genes, as well as the Wechsler Intelligence Scale for Children Intelligence Quotient (IQ) scores at age 8 years. Multivariate regression models were used to assess the associations between MeHg exposure and IQ and to determine possible gene-environment interactions. RESULTS: Hg concentrations indicated low background exposures (mean = 26 ng/g, standard deviation = 13). Log10-transformed Hg was positively associated with IQ, which attenuated after adjustment for nutritional and sociodemographic cofactors. In stratified analyses, a reverse association was found in higher social class families (for performance IQ, P value for interaction = 0.0013) among whom there was a wider range of MeHg exposure. Among 40 SNPs showing nominally significant main effects, MeHg interactions were detected for rs662 (paraoxonase 1) and rs1042838 (progesterone receptor) (P <} 0.05) and for rs3811647 (transferrin) and rs2049046 (brain-derived neurotrophic factor) (P {< 0.10). CONCLUSIONS: In this population with a low level of MeHg exposure, there were only equivocal associations between MeHg exposure and adverse neuropsychological outcomes. Heterogeneities in several relevant genes suggest possible genetic predisposition to MeHg neurotoxicity in a substantial proportion of the population. Future studies need to address this possibility. -
Mandy, W., Skuse, D., Steer, C., St Pourcain, B., & Oliver, B. R. (2013). Oppositionality and Socioemotional Competence: Interacting Risk Factors in the Development of Childhood Conduct Disorder Symptoms. Journal of the American Academy of Child & Adolescent Psychiatry, 52(7), 718-727. doi:10.1016/j.jaac.2013.04.011.
Abstract
Objectives Oppositional behavior in childhood is a probabilistic risk factor for the subsequent development of more serious conduct problems characteristic of conduct disorder (CD). The capacity to understand the subjective states of others (socioemotional competence) helps regulate antisocial behavior in typical development. We hypothesized that socioemotional competence moderates the developmental relationship between oppositionality and CD symptoms, such that oppositional defiant disorder (ODD) symptoms pose the greatest risk for subsequent CD symptoms in children with poor socioemotional competence. Method Parent-report data were collected for 6,218 children at 7 and 10 years of age. Bootstrap multiple regression predicting CD symptoms at age 10 was used to test for an interaction between socioemotional competence and ODD symptoms, while also accounting for direct effects and controlling for sex, maternal education, attention-deficit/hyperactivity disorder symptoms, and CD symptoms at 7 years. We further tested whether the interaction applied to both males and females, and to both aggressive and rule-breaking CD symptoms. Results A significant interaction was found between ODD and socioemotional competence: the association between oppositionality at 7 years and CD traits at 10 years was strongest for children with poor socioemotional capacities. As predicted, this moderation effect was significant in a model predicting aggression, but it was not significant for rule-breaking CD symptoms. Conclusion Socioemotional competence moderates the developmental relationship between mid-childhood oppositionality and more serious conduct problems in later childhood. A capacity to understand the subjective states of others may buffer the risk posed by oppositionality for later CD symptoms, including aggression. -
St Pourcain, B., Whitehouse, A. J. O., Ang, W. Q., Warrington, N. M., Glessner, J. T., Wang, K., Timpson, N. J., Evans, D. M., Kemp, J. P., Ring, S. M., McArdle, W. L., Golding, J., Hakonarson, H., Pennell, C. E., & Smith, G. (2013). Common variation contributes to the genetic architecture of social communication traits. Molecular Autism, 4: 34. doi:10.1186/2040-2392-4-34.
Abstract
Background: Social communication difficulties represent an autistic trait that is highly heritable and persistent during the course of development. However, little is known about the underlying genetic architecture of this phenotype. Methods: We performed a genome-wide association study on parent-reported social communication problems using items of the children’s communication checklist (age 10 to 11 years) studying single and/or joint marker effects. Analyses were conducted in a large UK population-based birth cohort (Avon Longitudinal Study of Parents and their Children, ALSPAC, N = 5,584) and followed-up within a sample of children with comparable measures from Western Australia (RAINE, N = 1364). Results: Two of our seven independent top signals (P- discovery <1.0E-05) were replicated (0.009 < P- replication ≤0.02) within RAINE and suggested evidence for association at 6p22.1 (rs9257616, meta-P = 2.5E-07) and 14q22.1 (rs2352908, meta-P = 1.1E-06). The signal at 6p22.1 was identified within the olfactory receptor gene cluster within the broader major histocompatibility complex (MHC) region. The strongest candidate locus within this genomic area was TRIM27. This gene encodes an ubiquitin E3 ligase, which is an interaction partner of methyl-CpG-binding domain (MBD) proteins, such as MBD3 and MBD4, and rare protein-coding mutations within MBD3 and MBD4 have been linked to autism. The signal at 14q22.1 was found within a gene-poor region. Single-variant findings were complemented by estimations of the narrow-sense heritability in ALSPAC suggesting that approximately a fifth of the phenotypic variance in social communication traits is accounted for by joint additive effects of genotyped single nucleotide polymorphisms throughout the genome (h2(SE) = 0.18(0.066), P = 0.0027). Conclusion: Overall, our study provides both joint and single-SNP-based evidence for the contribution of common polymorphisms to variation in social communication phenotypes.Additional information
http://static-content.springer.com/esm/art%3A10.1186%2F2040-2392-4-34/MediaObje… -
Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., Westra, H.-J., Shakhbazov, K., Abdellaoui, A., Agrawal, A., Albrecht, E., Alizadeh, B. Z., Amin, N., Barnard, J., Baumeister, S. E., Benke, K. S., Bielak, L. F., Boatman, J. A., Boyle, P. A., Davies, G. and 184 moreRietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., Westra, H.-J., Shakhbazov, K., Abdellaoui, A., Agrawal, A., Albrecht, E., Alizadeh, B. Z., Amin, N., Barnard, J., Baumeister, S. E., Benke, K. S., Bielak, L. F., Boatman, J. A., Boyle, P. A., Davies, G., de Leeuw, C., Eklund, N., Evans, D. S., Ferhmann, R., Fischer, K., Gieger, C., Gjessing, H. K., Hägg, S., Harris, J. R., Hayward, C., Holzapfel, C., Ibrahim-Verbaas, C. A., Ingelsson, E., Jacobsson, B., Joshi, P. K., Jugessur, A., Kaakinen, M., Kanoni, S., Karjalainen, J., Kolcic, I., Kristiansson, K., Kutalik, Z., Lahti, J., Lee, S. H., Lin, P., Lind, P. A., Liu, Y., Lohman, K., Loitfelder, M., McMahon, G., Vidal, P. M., Meirelles, O., Milani, L., Myhre, R., Nuotio, M.-L., Oldmeadow, C. J., Petrovic, K. E., Peyrot, W. J., Polasek, O., Quaye, L., Reinmaa, E., Rice, J. P., Rizzi, T. S., Schmidt, H., Schmidt, R., Smith, A. V., Smith, J. A., Tanaka, T., Terracciano, A., van der Loos, M. J. H. M., Vitart, V., Völzke, H., Wellmann, J., Yu, L., Zhao, W., Allik, J., Attia, J. R., Bandinelli, S., Bastardot, F., Beauchamp, J., Bennett, D. A., Berger, K., Bierut, L. J., Boomsma, D. I., Bültmann, U., Campbell, H., Chabris, C. F., Cherkas, L., Chung, M. K., Cucca, F., de Andrade, M., De Jager, P. L., De Neve, J.-E., Deary, I. J., Dedoussis, G. V., Deloukas, P., Dimitriou, M., Eiríksdóttir, G., Elderson, M. F., Eriksson, J. G., Evans, D. M., Faul, J. D., Ferrucci, L., Garcia, M. E., Grönberg, H., Guðnason, V., Hall, P., Harris, J. M., Harris, T. B., Hastie, N. D., Heath, A. C., Hernandez, D. G., Hoffmann, W., Hofman, A., Holle, R., Holliday, E. G., Hottenga, J.-J., Iacono, W. G., Illig, T., Järvelin, M.-R., Kähönen, M., Kaprio, J., Kirkpatrick, R. M., Kowgier, M., Latvala, A., Launer, L. J., Lawlor, D. A., Lehtimäki, T., Li, J., Lichtenstein, P., Lichtner, P., Liewald, D. C., Madden, P. A., Magnusson, P. K. E., Mäkinen, T. E., Masala, M., McGue, M., Metspalu, A., Mielck, A., Miller, M. B., Montgomery, G. W., Mukherjee, S., Nyholt, D. R., Oostra, B. A., Palmer, L. J., Palotie, A., Penninx, B. W. J. H., Perola, M., Peyser, P. A., Preisig, M., Räikkönen, K., Raitakari, O. T., Realo, A., Ring, S. M., Ripatti, S., Rivadeneira, F., Rudan, I., Rustichini, A., Salomaa, V., Sarin, A.-P., Schlessinger, D., Scott, R. J., Snieder, H., St Pourcain, B., Starr, J. M., Sul, J. H., Surakka, I., Svento, R., Teumer, A., Tiemeier, H., van Rooij, F. J. A., Van Wagoner, D. R., Vartiainen, E., Viikari, J., Vollenweider, P., Vonk, J. M., Waeber, G., Weir, D. R., Wichmann, H.-E., Widen, E., Willemsen, G., Wilson, J. F., Wright, A. F., Conley, D., Davey-Smith, G., Franke, L., Groenen, P. J. F., Hofman, A., Johannesson, M., Kardia, S. L. R., Krueger, R. F., Laibson, D., Martin, N. G., Meyer, M. N., Posthuma, D., Thurik, A. R., Timpson, N. J., Uitterlinden, A. G., van Duijn, C. M., Visscher, P. M., Benjamin, D. J., Cesarini, D., Koellinger, P. D., & Study LifeLines Cohort (2013). GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science, 340(6139), 1467-1471. doi:10.1126/science.1235488.
Abstract
A genome-wide association study (GWAS) of educational attainment was conducted in a discovery sample of 101,069 individuals and a replication sample of 25,490. Three independent single-nucleotide polymorphisms (SNPs) are genome-wide significant (rs9320913, rs11584700, rs4851266), and all three replicate. Estimated effects sizes are small (coefficient of determination R(2) ≈ 0.02%), approximately 1 month of schooling per allele. A linear polygenic score from all measured SNPs accounts for ≈2% of the variance in both educational attainment and cognitive function. Genes in the region of the loci have previously been associated with health, cognitive, and central nervous system phenotypes, and bioinformatics analyses suggest the involvement of the anterior caudate nucleus. These findings provide promising candidate SNPs for follow-up work, and our effect size estimates can anchor power analyses in social-science genetics.Additional information
Rietveld.SM.revision.2.pdf -
Van der Valk, R. J. P., Duijts, L., Timpson, N. J., Salam, M. T., Standl, M., Curtin, J. A., Genuneit, J., Kerhof, M., Kreiner-Møller, E., Cáceres, A., Gref, A., Liang, L. L., Taal, H. R., Bouzigon, E., Demenais, F., Nadif, R., Ober, C., Thompson, E. E., Estrada, K., Hofman, A. and 39 moreVan der Valk, R. J. P., Duijts, L., Timpson, N. J., Salam, M. T., Standl, M., Curtin, J. A., Genuneit, J., Kerhof, M., Kreiner-Møller, E., Cáceres, A., Gref, A., Liang, L. L., Taal, H. R., Bouzigon, E., Demenais, F., Nadif, R., Ober, C., Thompson, E. E., Estrada, K., Hofman, A., Uitterlinden, A. G., van Duijn, C., Rivadeneira, F., Li, X., Eckel, S. P., Berhane, K., Gauderman, W. J., Granell, R., Evans, D. M., St Pourcain, B., McArdle, W., Kemp, J. P., Smith, G. D., Tiesler, C. M. T., Flexeder, C., Simpson, A., Murray, C. S., Fuchs, O., Postma, D. S., Bønnelykke, K., Torrent, M., Andersson, M., Sleiman, P., Hakonarson, H., Cookson, W. O., Moffatt, M. F., Paternoster, L., Melén, E., Sunyer, J., Bisgaard, H., Koppelman, G. H., Ege, M., Custovic, A., Heinrich, J., Gilliland, F. D., Henderson, A. J., Jaddoe, V. W. V., de Jongste, J. C., & EArly Genetics and Lifecourse Epidemiology (EAGLE) Consortium (2013). Fraction of exhaled nitric oxide values in childhood are associated with 17q11.2-q12 and 17q12-q21 variants. Journal of Allergy and Clinical Immunology, 134(1), 46-55. doi:10.1016/j.jaci.2013.08.053.
Abstract
BACKGROUND: The fraction of exhaled nitric oxide (Feno) value is a biomarker of eosinophilic airway inflammation and is associated with childhood asthma. Identification of common genetic variants associated with childhood Feno values might help to define biological mechanisms related to specific asthma phenotypes.
OBJECTIVE: We sought to identify the genetic variants associated with childhood Feno values and their relation with asthma.
METHODS: Feno values were measured in children age 5 to 15 years. In 14 genome-wide association studies (N = 8,858), we examined the associations of approximately 2.5 million single nucleotide polymorphisms (SNPs) with Feno values. Subsequently, we assessed whether significant SNPs were expression quantitative trait loci in genome-wide expression data sets of lymphoblastoid cell lines (n = 1,830) and were related to asthma in a previously published genome-wide association data set (cases, n = 10,365; control subjects: n = 16,110).
RESULTS: We identified 3 SNPs associated with Feno values: rs3751972 in LYR motif containing 9 (LYRM9; P = 1.97 × 10(-10)) and rs944722 in inducible nitric oxide synthase 2 (NOS2; P = 1.28 × 10(-9)), both of which are located at 17q11.2-q12, and rs8069176 near gasdermin B (GSDMB; P = 1.88 × 10(-8)) at 17q12-q21. We found a cis expression quantitative trait locus for the transcript soluble galactoside-binding lectin 9 (LGALS9) that is in linkage disequilibrium with rs944722. rs8069176 was associated with GSDMB and ORM1-like 3 (ORMDL3) expression. rs8069176 at 17q12-q21, but not rs3751972 and rs944722 at 17q11.2-q12, were associated with physician-diagnosed asthma.
CONCLUSION: This study identified 3 variants associated with Feno values, explaining 0.95% of the variance. Identification of functional SNPs and haplotypes in these regions might provide novel insight into the regulation of Feno values. This study highlights that both shared and distinct genetic factors affect Feno values and childhood asthma.Additional information
http://www.sciencedirect.com/science/article/pii/S009167491301556X#appd001 -
Verhoeven, V. J. M., Hysi, P. G., Wojciechowski, R., Fan, Q., Guggenheim, J. A., Höhn, R., MacGregor, S., Hewitt, A. W., Nag, A., Cheng, C.-Y., Yonova-Doing, E., Zhou, X., Ikram, M. K., Buitendijk, G. H. S., McMahon, G., Kemp, J. P., St Pourcain, B., Simpson, C. L., Mäkelä, K.-M., Lehtimäki, T. and 90 moreVerhoeven, V. J. M., Hysi, P. G., Wojciechowski, R., Fan, Q., Guggenheim, J. A., Höhn, R., MacGregor, S., Hewitt, A. W., Nag, A., Cheng, C.-Y., Yonova-Doing, E., Zhou, X., Ikram, M. K., Buitendijk, G. H. S., McMahon, G., Kemp, J. P., St Pourcain, B., Simpson, C. L., Mäkelä, K.-M., Lehtimäki, T., Kähönen, M., Paterson, A. D., Hosseini, S. M., Wong, H. S., Xu, L., Jonas, J. B., Pärssinen, O., Wedenoja, J., Yip, S. P., Ho, D. W. H., Pang, C. P., Chen, L. J., Burdon, K. P., Craig, J. E., Klein, B. E. K., Klein, R., Haller, T., Metspalu, A., Khor, C.-C., Tai, E.-S., Aung, T., Vithana, E., Tay, W.-T., Barathi, V. A., Chen, P., Li, R., Liao, J., Zheng, Y., Ong, R. T., Döring, A., Evans, D. M., Timpson, N. J., Verkerk, A. J. M. H., Meitinger, T., Raitakari, O., Hawthorne, F., Spector, T. D., Karssen, L. C., Pirastu, M., Murgia, F., Ang, W., Mishra, A., Montgomery, G. W., Pennell, C. E., Cumberland, P. M., Cotlarciuc, I., Mitchell, P., Wang, J. J., Schache, M., Janmahasatian, S., Janmahasathian, S., Igo, R. P., Lass, J. H., Chew, E., Iyengar, S. K., Gorgels, T. G. M. F., Rudan, I., Hayward, C., Wright, A. F., Polasek, O., Vatavuk, Z., Wilson, J. F., Fleck, B., Zeller, T., Mirshahi, A., Müller, C., Uitterlinden, A. G., Rivadeneira, F., Vingerling, J. R., Hofman, A., Oostra, B. A., Amin, N., Bergen, A. A. B., Teo, Y.-Y., Rahi, J. S., Vitart, V., Williams, C., Baird, P. N., Wong, T.-Y., Oexle, K., Pfeiffer, N., Mackey, D. A., Young, T. L., van Duijn, C. M., Saw, S.-M., Bailey-Wilson, J. E., Stambolian, D., Klaver, C. C., Hammond, C. J., Consortium for Refractive Error and Myopia (CREAM), The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Research Group, Wellcome Trust Case Control Consortium 2 (WTCCC2), & The Fuchs' Genetics Multi-Center Study Group (2013). Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia. Nature Genetics, 45(3), 314-318. doi:10.1038/ng.2554.
Abstract
Refractive error is the most common eye disorder worldwide and is a prominent cause of blindness. Myopia affects over 30% of Western populations and up to 80% of Asians. The CREAM consortium conducted genome-wide meta-analyses, including 37,382 individuals from 27 studies of European ancestry and 8,376 from 5 Asian cohorts. We identified 16 new loci for refractive error in individuals of European ancestry, of which 8 were shared with Asians. Combined analysis identified 8 additional associated loci. The new loci include candidate genes with functions in neurotransmission (GRIA4), ion transport (KCNQ5), retinoic acid metabolism (RDH5), extracellular matrix remodeling (LAMA2 and BMP2) and eye development (SIX6 and PRSS56). We also confirmed previously reported associations with GJD2 and RASGRF1. Risk score analysis using associated SNPs showed a tenfold increased risk of myopia for individuals carrying the highest genetic load. Our results, based on a large meta-analysis across independent multiancestry studies, considerably advance understanding of the mechanisms involved in refractive error and myopia.Additional information
http://www.nature.com/ng/journal/v45/n3/extref/ng.2554-S1.pdf
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