Common genetic variants contribute to risk of rare severe neurodevelopmental disorders
Open accessPublished version of a preprint
Abstract
There are thousands of rare human disorders that are caused by single deleterious, protein-coding genetic variants 1. However, patients with the same genetic defect can have different clinical presentations 2-4, and some individuals who carry known disease-causing variants can appear unaffected 5. Here, to understand what explains these differences, we study a cohort of 6,987 children assessed by clinical geneticists to have severe neurodevelopmental disorders such as global developmental delay and autism, often in combination with abnormalities of other organ systems. Although the genetic causes of these neurodevelopmental disorders are expected to be almost entirely monogenic, we show that 7.7% of variance in risk is attributable to inherited common genetic variation. We replicated this genome-wide common variant burden by showing, in an independent sample of 728 trios (comprising a child plus both parents) from the same cohort, that this burden is over-transmitted from parents to children with neurodevelopmental disorders. Our common-variant signal is significantly positively correlated with genetic predisposition to lower educational attainment, decreased intelligence and risk of schizophrenia. We found that common-variant risk was not significantly different between individuals with and without a known protein-coding diagnostic variant, which suggests that common-variant risk affects patients both with and without a monogenic diagnosis. In addition, previously published common-variant scores for autism, height, birth weight and intracranial volume were all correlated with these traits within our cohort, which suggests that phenotypic expression in individuals with monogenic disorders is affected by the same variants as in the general population. Our results demonstrate that common genetic variation affects both overall risk and clinical presentation in neurodevelopmental disorders that are typically considered to be monogenic.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The genetic causes underlying NDDs are diverse, ranging from single gene mutations, copy number variations to whole-chromosome aberrations.
“The genetic causes underlying NDDs are diverse ranging from single gene mutations, copy number variations to whole‐chromosome aberrations [263].”
From Development of prefrontal cortex (2022) · cites this paper as [263]
The Abstract (page unavailable) describes severe neurodevelopmental disorders as typically monogenic and discusses rare single-gene variants alongside inherited common variation. It does not identify copy-number variations or whole-chromosome aberrations as causes of these disorders. The only CNV mention found is in a reference title about schizophrenia. (LLM, conf=0.86)
Experimental — accuracy not yet measuredEvidence suggests reduced SNP heritability for forms of ASD in which co-diagnosed ID is more common.
“Further, evidence suggests reduced SNP heritability for forms of ASD in which co-diagnosed ID is more common.15,25”
From The female protective effect against autism spectrum disorder (2022) · cites this paper as [25]
The genetic correlation between ID and ASD is not significantly different from zero as currently estimated.
“as currently estimated, the genetic correlation between ID and ASD is not significantly different from zero.25”
From The female protective effect against autism spectrum disorder (2022) · cites this paper as [25]
When directly examined, polygenic risk combines additively with major mutation burden.
“In the instances where this has been studied directly, polygenic risk acts additively with major mutational burdens (Gaugler et al., 2014; Niemi et al., 2018; Purcell et al., 2014; Weiner et al., 2017).”
From Defining the genetic, genomic, cellular, and diagnostic architectures of psychiatric disorders (2019) · cites this paper as Niemi et al., 2018
Individuals with neurodevelopmental disorders carrying a reportable clinical diagnostic variant have significantly increased PRS.
“This study reported that individuals with NDDs who carry a reportable clinical diagnostic variant have a significantly increased PRS.”
From Getting to the cores of autism (2019) · cites this paper as Niemi et al., 2018
The correlation of ASD PRS with higher educational attainment and IQ is opposite to what has been reported for PRS of other neurodevelopmental disorders.
“Surprisingly, multiple studies have found that PRS for ASD correlates with higher educational attainment and IQ in the population (Brainstorm Consortium et al., 2018), opposite to what has been reported for PRS of other neurodevelopmental disorders (Niemi et al., 2018; Sniekers et al., 2017).”
From Getting to the cores of autism (2019) · cites this paper as Niemi et al., 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559 · see citing works
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821 · see citing works
An atlas of genetic correlations across human diseases and traits
ReproGen Consortium, Bulik-Sullivan, B., Psychiatric Genomics Consortium, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3, Finucane, H. K., Anttila, V., Gusev, A., Day, F. R., Loh, P.-R., Duncan, L., et al. (2015) · Nature Genetics · doi:10.1038/ng.3406 · Cited by 4,255 · see citing works
eQTLGen, Wray, N. R., 23andMe, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0090-3 · Cited by 3,005 · see citing works
Self-citationA reference panel of 64,976 haplotypes for genotype imputation
the Haplotype Reference Consortium (2016) · Nature Genetics · doi:10.1038/ng.3643 · Cited by 2,836 · see citing works
Self-citationPartitioning heritability by functional annotation using genome-wide association summary statistics
ReproGen Consortium, Finucane, H. K., Schizophrenia Working Group of the Psychiatric Genomics Consortium, The RACI Consortium, Bulik-Sullivan, B., Gusev, A., Trynka, G., Reshef, Y., Loh, P.-R., Anttila, V., et al. (2015) · Nature Genetics · doi:10.1038/ng.3404 · Cited by 2,604 · see citing works
23andMe Research Team, Lee, J. J., COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Consortium, Wedow, R., Okbay, A., Kong, E., Maghzian, O., Zacher, M., Nguyen-Viet, T. A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0147-3 · Cited by 2,470 · see citing works
DECIPHER: Database of Chromosomal Imbalance and Phenotype in Humans Using Ensembl Resources
Firth, H. V., Richards, S. M., Bevan, A. P., Clayton, S., Corpas, M., Rajan, D., Vooren, S. V., Moreau, Y., Pettett, R. M., & Carter, N. P. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.03.010 · Cited by 1,990 · see citing works
Self-citationAnalysis of shared heritability in common disorders of the brain
The Brainstorm Consortium, Anttila, V., Bulik-Sullivan, B., Finucane, H. K., Walters, R. K., Bras, J., Duncan, L., Escott-Price, V., Falcone, G. J., Gormley, P., et al. (2018) · Science · doi:10.1126/science.aap8757 · Cited by 1,924 · see citing works
Reference-based phasing using the Haplotype Reference Consortium panel
Loh, P.-R., Danecek, P., Palamara, P. F., Fuchsberger, C., A Reshef, Y., K Finucane, H., Schoenherr, S., Forer, L., McCarthy, S., Abecasis, G. R., et al. (2016) · Nature Genetics · doi:10.1038/ng.3679 · Cited by 1,894 · see citing works
The Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics · doi:10.1038/ng.3097 · Cited by 1,853 · see citing works
GERAD1 Consortium, Pardiñas, A. F., CRESTAR Consortium, Holmans, P., Pocklington, A. J., Escott-Price, V., Ripke, S., Carrera, N., Legge, S. E., Bishop, S., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0059-2 · Cited by 1,552 · see citing works
Self-citationEfficient Bayesian mixed-model analysis increases association power in large cohorts
Loh, P.-R., Tucker, G., Bulik-Sullivan, B. K., Vilhjálmsson, B. J., Finucane, H. K., Salem, R. M., Chasman, D. I., Ridker, P. M., Neale, B. M., Berger, B., et al. (2015) · Nature Genetics · doi:10.1038/ng.3190 · Cited by 1,507 · see citing works
Prevalence and architecture of de novo mutations in developmental disorders
Study, D. D. D. (2017) · Nature · doi:10.1038/nature21062 · Cited by 1,480 · see citing works
Genome-wide association study identifies 74 loci associated with educational attainment
Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., Turley, P., Chen, G.-B., Emilsson, V., Meddens, S. F. W., et al. (2016) · Nature · doi:10.1038/nature17671 · Cited by 1,297 · see citing works
Large-scale discovery of novel genetic causes of developmental disorders
Study, T. D. D. D. (2015) · Nature · doi:10.1038/nature14135 · Cited by 1,124 · see citing works
A high-resolution map of human evolutionary constraint using 29 mammals
Broad Institute Sequencing Platform and Whole Genome Assembly Team, Lindblad-Toh, K., Baylor College of Medicine Human Genome Sequencing Center Sequencing Team, Genome Institute at Washington University, Garber, M., Zuk, O., Lin, M. F., Parker, B. J., Washietl, S., Kheradpour, P., et al. (2011) · Nature · doi:10.1038/nature10530 · Cited by 1,108 · see citing works
Zheng, J., Erzurumluoglu, A. M., Elsworth, B. L., Kemp, J. P., Howe, L., Haycock, P. C., Hemani, G., Tansey, K., Laurin, C., Early Genetics and Lifecourse Epidemiology (EAGLE) Eczema Consortium, et al. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw613 · Cited by 869 · see citing works
Wright, C. F., Fitzgerald, T. W., Jones, W. D., Clayton, S., McRae, J. F., van Kogelenberg, M., King, D. A., Ambridge, K., Barrett, D. M., Bayzetinova, T., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)61705-0 · Cited by 728 · see citing works
Self-citationiPSYCH-Broad Autism Group, Weiner, D. J., Psychiatric Genomics Consortium Autism Group, Wigdor, E. M., Ripke, S., Walters, R. K., Kosmicki, J. A., Grove, J., Samocha, K. E., Goldstein, J. I., et al. (2017) · Nature Genetics · doi:10.1038/ng.3863 · Cited by 516 · see citing works
Genome-wide associations for birth weight and correlations with adult disease
Horikoshi, M., Beaumont, R. N., Day, F. R., Warrington, N. M., Kooijman, M. N., Fernandez-Tajes, J. J., Feenstra, B., van Zuydam, N. R., Gaulton, K. J., Grarup, N., et al. (2016) · Nature · doi:10.1038/nature19806 · Cited by 495 · see citing works
Sniekers, S., Stringer, S., Watanabe, K., Jansen, P. R., Coleman, J. R. I., Krapohl, E., Taskesen, E., Hammerschlag, A. R., Okbay, A., Zabaneh, D., et al. (2017) · Nature Genetics · doi:10.1038/ng.3869 · Cited by 490 · see citing works
Study, S. S., Singh, T., Study, I., Study, D., UK10 K Consortium, Kurki, M. I., Curtis, D., Purcell, S. M., Crooks, L., McRae, J., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4267 · Cited by 452 · see citing works
Self-citationGenetics in Parkinson disease: Mendelian versus non‐Mendelian inheritance
Hernandez, D. G., Reed, X., & Singleton, A. B. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13593 · Cited by 448 · see citing works
International Cooperation to Enable the Diagnosis of All Rare Genetic Diseases
Boycott, K. M., Rath, A., Chong, J. X., Hartley, T., Alkuraya, F. S., Baynam, G., Brookes, A. J., Brudno, M., Carracedo, A., den Dunnen, J. T., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.04.003 · Cited by 447 · see citing works
Self-citationQuantifying prion disease penetrance using large population control cohorts
Minikel, E. V., Vallabh, S. M., Lek, M., Estrada, K., Samocha, K. E., Sathirapongsasuti, J. F., McLean, C. Y., Tung, J. Y., Yu, L. P. C., Gambetti, P., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aad5169 · Cited by 442 · see citing works
Efficient haplotype matching and storage using the positional Burrows–Wheeler transform (PBWT)
Durbin, R. M. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu014 · Cited by 427 · see citing works
Sniekers, S., Stringer, S., Watanabe, K., Jansen, P. R., Coleman, J. R. I., Krapohl, E. M. L., Taskesen, E., Hammerschlag, A. R., Okbay, A., Zabaneh, D., et al. (2017) · Nature Genetics · doi:10.1038/ng1017-1558c · Cited by 333 · see citing works
Wright, C. F., McRae, J. F., Clayton, S., Gallone, G., Aitken, S., Fitzgerald, T. W., Jones, P., Prigmore, E., Rajan, D., Lord, J., et al. (2018) · Genetics in Medicine · doi:10.1038/gim.2017.246 · Cited by 330 · see citing works
Self-citationKuchenbaecker, K. B., McGuffog, L., Barrowdale, D., Lee, A., Soucy, P., Healey, S., Dennis, J., Lush, M., Robson, M., Spurdle, A., et al. (2017) · Journal of the National Cancer Institute · doi:10.1093/jnci/djw302 · Cited by 294 · see citing works
Brisbane Adolescent Twin Study: Outline of study methods and research projects
Wright, M., & Martin, N. (2004) · Australian Journal of Psychology · doi:10.1080/00049530410001734865 · Cited by 288 · see citing works
Self-citationDe novo mutations in regulatory elements in neurodevelopmental disorders
Short, P. J., McRae, J. F., Gallone, G., Sifrim, A., Won, H., Geschwind, D. H., Wright, C. F., Firth, H. V., FitzPatrick, D. R., Barrett, J. C., et al. (2018) · Nature · doi:10.1038/nature25983 · Cited by 274 · see citing works
Self-citationA common allele in RPGRIP1L is a modifier of retinal degeneration in ciliopathies
Khanna, H., Davis, E. E., Murga‐Zamalloa, C., Estrada‐Cuzcano, A., López, I., den Hollander, A. I., Zonneveld, M. N., Othman, M., Waseem, N. H., Chakarova, C. F., et al. (2009) · Nature Genetics · doi:10.1038/ng.366 · Cited by 272 · see citing works
Novel genetic loci underlying human intracranial volume identified through genome-wide association
Adams, H., Hibar, D., Chouraki, V., Stein, J., Nyquist, P., Rentería, M. E., Trompet, S., Arias-Vásquez, A., Seshadri, S., Desriviéres, S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4398 · Cited by 238 · see citing works
Quantifying the contribution of recessive coding variation to developmental disorders
Martin, H. C., Jones, W. D., McIntyre, R., Sanchez-Andrade, G., Sanderson, M., Stephenson, J. D., Jones, C. P., Handsaker, J., Gallone, G., Bruntraeger, M., et al. (2018) · Science · doi:10.1126/science.aar6731 · Cited by 201 · see citing works
Self-citationFunctional Dysregulation of CDC42 Causes Diverse Developmental Phenotypes
Martinelli, S., Krumbach, O. H. F., Pantaleoni, F., Coppola, S., Amin, E., Pannone, L., Nouri, K., Farina, L., Dvorský, R., Lepri, F. R., et al. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.12.015 · Cited by 195 · see citing works
Palla, L., & Dudbridge, F. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.06.005 · Cited by 185 · see citing works
Common and rare forms of diabetes mellitus: towards a continuum of diabetes subtypes
Flannick, J. A., Johansson, S., & Njølstad, P. R. (2016) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2016.50 · Cited by 141 · see citing works
Common alleles contribute to schizophrenia in CNV carriers
Tansey, K. E., Rees, E., Linden, D. E., Ripke, S., Chambert, K. D., Moran, J. L., McCarroll, S. A., Holmans, P., Kirov, G., Walters, J., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.143 · Cited by 132 · see citing works
Discontinuity in the genetic and environmental causes of the intellectual disability spectrum
Reichenberg, A., Cederlöf, M., McMillan, A., Trzaskowski, M., Kapra, O., Fruchter, E., Ginat, K., Davidson, M., Weiser, M., Larsson, H., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508093112 · Cited by 115 · see citing works
Ganna, A., Genovese, G., Howrigan, D. P., Byrnes, A., Kurki, M., Zekavat, S. M., Whelan, C. W., Kals, M., Nivard, M. G., Bloemendal, A., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4404 · Cited by 89 · see citing works
Common risk variants identified in autism spectrum disorder
Grove, J., Ripke, S., Als, T. D., Mattheisen, M., Walters, R., Won, H., Pallesen, J., Agerbo, E., Andreassen, O. A., Anney, R., et al. (2017) · doi:10.1101/224774 · Cited by 89 · see citing works
Analysis of Shared Heritability in Common Disorders of the Brain
(2016) · doi:10.1101/048991 · Cited by 82 · see citing works
Balasubramanian, M., Willoughby, J., Fry, A. E., Weber, A. P., Firth, H. V., Deshpande, C., Berg, J. N., Chandler, K., Metcalfe, K., Lam, W. W. K., et al. (2017) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2016-104360 · Cited by 60 · see citing works
Self-citationOwen, C. I., Bowden, A. R., Parker, M. J., Patterson, J., Patterson, J., Price, S., Sarkar, A., Castle, B., Deshpande, C., Splitt, M. P., et al. (2018) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.38610 · Cited by 40 · see citing works
Heritability and GWAS Analyses of Acne in Australian Adolescent Twins
Mina-Vargas, A., Colodro‐Conde, L., Grasby, K. L., Zhu, G., Gordon, S. D., Medland, S. E., & Martin, N. G. (2017) · Twin Research and Human Genetics · doi:10.1017/thg.2017.58 · Cited by 29 · see citing works
Self-citationQuantifying the contribution of recessive coding variation to developmental disordersPreprint
Martin, H. C., Jones, W. D., Stephenson, J. D., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/201533 · Cited by 8 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Tutorial: a guide to performing polygenic risk score analyses
Choi, S. W., Mak, T. S. H., & O’Reilly, P. F. (2020) · Nature Protocols · doi:10.1038/s41596-020-0353-1 · Cited by 1,913 · see citing works
Polygenic risk scores: from research tools to clinical instruments
Lewis, C. M., & Vassos, E. (2020) · Genome Medicine · doi:10.1186/s13073-020-00742-5 · Cited by 1,360 · see citing works
Neurodevelopmental Disorders: From Genetics to Functional Pathways
Parenti, I., Rabaneda, L. G., Schoen, H., & Novarino, G. (2020) · Trends in Neurosciences · doi:10.1016/j.tins.2020.05.004 · Cited by 634 · see citing works
Warrier, V., Greenberg, D. M., Weir, E., Buckingham, C., Smith, P., Lai, M.-C., Allison, C., & Baron-Cohen, S. (2020) · Nature Communications · doi:10.1038/s41467-020-17794-1 · Cited by 595 · see citing works
Defining the genetic, genomic, cellular, and diagnostic architectures of psychiatric disorders
Sullivan, P. F., & Geschwind, D. H. (2019) · Cell · doi:10.1016/j.cell.2019.01.015 · Cited by 452 · see citing works
“In the instances where this has been studied directly, polygenic risk acts additively with major mutational burdens (Gaugler et al., 2014; Niemi et al., 2018; Purcell et al., 2014; Weiner et al., 2017).”
BackgroundDevelopment of prefrontal cortex
Kolk, S. M., & Rakic, P. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01137-9 · Cited by 378 · see citing works
“The genetic causes underlying NDDs are diverse ranging from single gene mutations, copy number variations to whole‐ chromosome aberrations [263].”
BackgroundGenomic Analysis in the Age of Human Genome Sequencing
Lappalainen, T., Scott, A. J., Brandt, M. K., & Hall, I. M. (2019) · Cell · doi:10.1016/j.cell.2019.02.032 · Cited by 298 · see citing works
Predicting Polygenic Risk of Psychiatric Disorders
Martin, A. R., Daly, M. J., Robinson, E., Hyman, S. E., & Neale, B. M. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.12.015 · Cited by 292 · see citing works
Incomplete Penetrance and Variable Expressivity: From Clinical Studies to Population Cohorts
Kingdom, R., & Wright, C. F. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.920390 · Cited by 294 · see citing works
Self-citationExtreme Polygenicity of Complex Traits Is Explained by Negative Selection
O'Connor, L. J., Schoech, A. P., Hormozdiari, F., Gazal, S., Patterson, N., & Price, A. L. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.07.003 · Cited by 268 · see citing works
Getting to the cores of autism
Iakoucheva, L. M., Muotri, A. R., & Sebat, J. (2019) · Cell · doi:10.1016/j.cell.2019.07.037 · Cited by 260 · see citing works
“, 2018), opposite to what has been reported for PRSs of other neurodevelopmental disorders (Niemi et al., 2018; Sniekers et al., 2017).”
BackgroundResultInfluentialGenomic Medicine–Progress, Pitfalls, and Promise
Shendure, J., Findlay, G. M., & Snyder, M. W. (2019) · Cell · doi:10.1016/j.cell.2019.02.003 · Cited by 253 · see citing works
Genetic Testing in Neurodevelopmental Disorders
Savatt, J. M., & Myers, S. M. (2021) · Frontiers in Pediatrics · doi:10.3389/fped.2021.526779 · Cited by 230 · see citing works
Neurodevelopmental Resilience and Susceptibility to Maternal Immune Activation
Meyer, U. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.08.001 · Cited by 222 · see citing works
The Role of Neurod Genes in Brain Development, Function, and Disease
Tutukova, S., Tarabykin, V. S., & Hernandez-Miranda, L. R. (2021) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.662774 · Cited by 187 · see citing works
Discovery and implications of polygenicity of common diseases
Visscher, P. M., Yengo, L., Cox, N. J., & Wray, N. R. (2021) · Science · doi:10.1126/science.abi8206 · Cited by 191 · see citing works
Improved genetic prediction of complex traits from individual-level data or summary statistics
Zhang, Q., Privé, F., Vilhjálmsson, B. J., & Speed, D. (2021) · Nature Communications · doi:10.1038/s41467-021-24485-y · Cited by 175 · see citing works
Exome sequencing of Finnish isolates enhances rare-variant association power
Locke, A. E., Steinberg, K. M., Chiang, C. W. K., Service, S. K., Havulinna, A. S., Stell, L., Pirinen, M., Abel, H., Chiang, C., Fulton, R. S., et al. (2019) · Nature · doi:10.1038/s41586-019-1457-z · Cited by 170 · see citing works
Insufficient Evidence for “Autism-Specific” Genes
Myers, S. M., Challman, T. D., Bernier, R., Bourgeron, T., Chung, W. K., Constantino, J. N., Eichler, E. E., Jacquemont, S., Miller, D. T., Mitchell, K. J., et al. (2020) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2020.04.004 · Cited by 165 · see citing works
Genetic correlates of phenotypic heterogeneity in autism
Warrier, V., Zhang, X., Reed, P., Havdahl, A., Moore, T. M., Cliquet, F., Leblond, C. S., Rolland, T., Rosengren, A., LEAP, E.-A., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01072-5 · Cited by 152 · see citing works
Self-citationCortese, S., Solmi, M., Michelini, G., Bellato, A., Blanner, C., Canozzi, A., Eudave, L., Farhat, L. C., Højlund, M., Köhler‐Forsberg, O., et al. (2023) · World Psychiatry · doi:10.1002/wps.21037 · Cited by 147 · see citing works
Mechanisms of tissue and cell-type specificity in heritable traits and diseases
Hekselman, I., & Yeger‐Lotem, E. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-019-0200-9 · Cited by 146 · see citing works
Currie, G., & Szabo, J. (2020) · International Journal of Qualitative Studies on Health and Well-Being · doi:10.1080/17482631.2020.1725362 · Cited by 145 · see citing works
Epilepsy genetics: clinical impacts and biological insights
Ellis, C. A., Petrovski, S., & Berkovic, S. F. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(19)30269-8 · Cited by 136 · see citing works
Guo, H., Duyzend, M., Coe, B. P., Baker, C. A., Hoekzema, K., Gerdts, J. A., Turner, T. N., Zody, M. C., Beighley, J. S., Murali, S. C., et al. (2018) · Genetics in Medicine · doi:10.1038/s41436-018-0380-2 · Cited by 128 · see citing works
Li, N., Yang, J., Zhang, J., Liang, C., Wang, Y., Chen, B., Zhao, C., Wang, J., Zhang, G., Zhao, D., et al. (2019) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2019.01.002 · Cited by 135 · see citing works
GROUP Investigators, Rees, E., Han, J., Morgan, J., Carrera, N., Escott-Price, V., Pocklington, A. J., Duffield, M., Hall, L. S., Legge, S. E., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-019-0565-2 · Cited by 129 · see citing works
Dawoodbhoy, F. M., Delaney, J., Cecula, P., Yu, J., Peacock, I., Tan, J. S., & Cox, B. M. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e06993 · Cited by 136 · see citing works
A framework for the investigation of rare genetic disorders in neuropsychiatry
Sanders, S., Şahin, M., Hostyk, J. A., Thurm, A. E., Jacquemont, S., Avillach, P., Douard, E. A., Martin, C. L., Modi, M. E., Moreno-De-Luca, A., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0581-5 · Cited by 119 · see citing works
Genetic contributors to risk of schizophrenia in the presence of a 22q11.2 deletion
Cleynen, I., Engchuan, W., Hestand, M. S., Heung, T., Holleman, A. M., Johnston, H. R., Monfeuga, T., McDonald‐McGinn, D. M., Gur, R. E., Morrow, B. E., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0654-3 · Cited by 126 · see citing works
The female protective effect against autism spectrum disorder
Wigdor, E. M., Weiner, D. J., Grove, J., Fu, J. M., Thompson, W. K., Carey, C. E., Baya, N., van der Merwe, C., Walters, R. K., Satterstrom, F. K., et al. (2021) · doi:10.1101/2021.03.29.21253866 · Cited by 124 · see citing works
The female protective effect against autism spectrum disorder
Wigdor, E. M., Weiner, D. J., Grove, J., Fu, J. M., Thompson, W. K., Carey, C. E., Baya, N., van der Merwe, C., Walters, R. K., Satterstrom, F. K., et al. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100134 · Cited by 124 · see citing works
Genomic medicine for undiagnosed diseases
Wise, A. L., Manolio, T. A., Mensah, G. A., Peterson, J. F., Roden, D. M., Tamburro, C. P., Williams, M. S., & Green, E. D. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31274-7 · Cited by 117 · see citing works
Quantifying the polygenic contribution to variable expressivity in eleven rare genetic disorders
Oetjens, M. T., Kelly, M., Sturm, A. C., Martin, C. L., & Ledbetter, D. H. (2019) · Nature Communications · doi:10.1038/s41467-019-12869-0 · Cited by 114 · see citing works
The Epigenome in Neurodevelopmental Disorders
Reichard, J., & Zimmer‐Bensch, G. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.776809 · Cited by 112 · see citing works
Current practice in diagnostic genetic testing of the epilepsies
Krey, I., Platzer, K., Esterhuizen, A. I., Berkovic, S. F., Helbig, I., Hildebrand, M. S., Lerche, H., Lowenstein, D. H., Møller, R. S., Poduri, A., et al. (2022) · Epileptic Disorders · doi:10.1684/epd.2022.1448 · Cited by 113 · see citing works
Pardiñas, A. F., Smart, S. E., Willcocks, I. R., Holmans, P., Dennison, C. A., Lynham, A. J., Legge, S. E., Baune, B. T., Bigdeli, T. B., Cairns, M. J., et al. (2022) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2021.3799 · Cited by 104 · see citing works
Intellectual disability genomics: current state, pitfalls and future challenges
Maia, N., Sá, M. J. N., Pires, M. M., de Brouwer, A. P. M., & Jorge, P. (2021) · BMC Genomics · doi:10.1186/s12864-021-08227-4 · Cited by 105 · see citing works
Mendelian inheritance revisited: dominance and recessiveness in medical genetics
Zschocke, J., Byers, P. H., & Wilkie, A. O. M. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00574-0 · Cited by 103 · see citing works
Essential genetic findings in neurodevelopmental disorders
Cardoso, A. R., Lopes‐Marques, M., Silva, R. M., Serrano, C., Amorim, A., Prata, M. J., & Azevedo, L. (2019) · Human Genomics · doi:10.1186/s40246-019-0216-4 · Cited by 87 · see citing works
Translating insights from neuropsychiatric genetics and genomics for precision psychiatry
Rees, E., & Owen, M. J. (2020) · Genome Medicine · doi:10.1186/s13073-020-00734-5 · Cited by 84 · see citing works
Transcriptional linkage analysis with in vivo AAV-Perturb-seq
Santinha, A. J., Klingler, E., Kuhn, M., Farouni, R., Lagler, S., Kalamakis, G., Lischetti, U., Jabaudon, D., & Platt, R. J. (2023) · Nature · doi:10.1038/s41586-023-06570-y · Cited by 83 · see citing works
Warrier, V., Stauffer, E.-M., Huang, Q. Q., Wigdor, E. M., Slob, E. A. W., Seidlitz, J., Ronan, L., Valk, S. L., Mallard, T. T., Grotzinger, A. D., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01475-y · Cited by 85 · see citing works
Self-citationNext-generation drug repurposing using human genetics and network biology
Nabirotchkin, S., Peluffo, A. E., Rinaudo, P., Yu, J., Hajj, R., & Cohen, D. (2020) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2019.12.004 · Cited by 76 · see citing works
The contribution of copy number variants to psychiatric symptoms and cognitive ability
Mollon, J., Almasy, L. A., Jacquemont, S., & Glahn, D. C. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-01978-4 · Cited by 71 · see citing works
Genetic basis of mitochondrial diseases
Gušić, M., & Prokisch, H. (2021) · FEBS Letters · doi:10.1002/1873-3468.14068 · Cited by 76 · see citing works
Perenthaler, E., Yousefi, S., Niggl, E., & Barakat, T. S. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00352 · Cited by 71 · see citing works
Examining the role of common variants in rare neurodevelopmental conditions
Huang, Q. Q., Wigdor, E. M., Malawsky, D. S., Campbell, P. H., Samocha, K. E., Chundru, V. K., Danecek, P., Lindsay, S., Marchant, T., Koko, M., et al. (2024) · Nature · doi:10.1038/s41586-024-08217-y · Cited by 78 · see citing works
Self-citationThe impact of rare protein coding genetic variation on adult cognitive function
Chen, C., Tian, R., Ge, T., Lam, M., Sánchez-Andrade, G., Singh, T., Urpa, L., Liu, J. Z., Sanderson, M., Rowley, C., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01398-8 · Cited by 64 · see citing works
Self-citationIdentification of Neuropsychiatric Copy Number Variants in a Health Care System Population
Martin, C. L., Wain, K. E., Oetjens, M. T., Tolwinski, K., Palen, E., Hare-Harris, A. E., Habegger, L., Maxwell, E. K., Reid, J. G., Walsh, L. K., et al. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.2159 · Cited by 70 · see citing works
Takata, A., Nakashima, M., Saitsu, H., Mizuguchi, T., Mitsuhashi, S., Takahashi, Y., Okamoto, N., Osaka, H., Nakamura, K., Tohyama, J., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10482-9 · Cited by 70 · see citing works
Ye, W., Luo, C., Zhou, J., Liang, X., Wen, J., Huang, J., Zeng, Y., Wu, Y., Gao, Y., Liu, Z., et al. (2025) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(25)00036-1 · Cited by 70 · see citing works
The contribution of X-linked coding variation to severe developmental disorders
Martin, H. C., Gardner, E. J., Samocha, K. E., Kaplanis, J., Akawi, N. A., Sifrim, A., Eberhardt, R. Y., Tavares, A. L. T., Neville, M. D. C., Niemi, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20852-3 · Cited by 67 · see citing works
Self-citationAUTS2 Gene: Keys to Understanding the Pathogenesis of Neurodevelopmental Disorders
Hori, K., Shimaoka, K., & Hoshino, M. (2021) · Cells · doi:10.3390/cells11010011 · Cited by 65 · see citing works
Genetic modifiers of rare variants in monogenic developmental disorder loci
Kingdom, R., Beaumont, R. N., Wood, A. R., Weedon, M. N., & Wright, C. F. (2024) · Nature Genetics · doi:10.1038/s41588-024-01710-0 · Cited by 58 · see citing works
Self-citationLong-read genome sequencing for the molecular diagnosis of neurodevelopmental disorders
Hiatt, S. M., Lawlor, J. M. J., Handley, L. H., Ramaker, R. C., Rogers, B. B., Partridge, E. C., Boston, L. B., Williams, M. E., Plott, C., Jenkins, J. W., et al. (2021) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2021.100023 · Cited by 66 · see citing works
How rare and common risk variation jointly affect liability for autism spectrum disorder
Klei, L., McClain, L. L., Mahjani, B., Panayidou, K., Rubeis, S. D., Grahnat, A.-C. S., Karlsson, G., Lu, Y., Melhem, N., Xu, X., et al. (2021) · Molecular Autism · doi:10.1186/s13229-021-00466-2 · Cited by 62 · see citing works
Nakamura, T., & Takata, A. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02005-2 · Cited by 69 · see citing works
Long, D. A., & Fink, E. L. (2021) · Translational Pediatrics · doi:10.21037/tp-21-61 · Cited by 60 · see citing works
Kingdom, R., Tuke, M. A., Wood, A. R., Beaumont, R. N., Frayling, T. M., Weedon, M. N., & Wright, C. F. (2022) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2022.05.011 · Cited by 59 · see citing works
Self-citationMichaud, V., Lasseaux, E., Green, D. J., Gerrard, D. T., Plaisant, C., Fitzgerald, T. W., Birney, E., Arveiler, B., Black, G. C. M., & Sergouniotis, P. I. (2022) · Nature Communications · doi:10.1038/s41467-022-31392-3 · Cited by 60 · see citing works
Contribution of retrotransposition to developmental disorders
Gardner, E. J., Prigmore, E., Gallone, G., Danecek, P., Samocha, K. E., Handsaker, J., Gerety, S. S., Ironfield, H., Short, P., Sifrim, A., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12520-y · Cited by 58 · see citing works
Self-citationFallah, M. S., Szarics, D., Robson, C. M., & Eubanks, J. H. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2020.613098 · Cited by 57 · see citing works
Díaz‐Caneja, C. M., State, M. W., Hagerman, R. J., Jacquemont, S., Marín, Ó., Bagni, C., Umbricht, D., Simonoff, E. A., Andres-Trelles, F., Kaale, A., et al. (2021) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2021.02.020 · Cited by 54 · see citing works
Naqvi, S., Hoskens, H., Wilke, F., Weinberg, S. M., Shaffer, J. R., Walsh, S., Shriver, M. D., Wysocka, J., & Claes, P. D. (2022) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-120121-102607 · Cited by 52 · see citing works
Mancini, M., Bassani, S., & Passafaro, M. (2020) · Cells · doi:10.3390/cells9122711 · Cited by 49 · see citing works
Hiatt, S. M., Lawlor, J. M. J., Handley, L. H., Latner, D. R., Bonnstetter, Z. T., Finnila, C. R., Thompson, M. L., Boston, L. B., Williams, M. E., Rodríguez-Nunez, I., et al. (2024) · Genome Research · doi:10.1101/gr.279227.124 · Cited by 49 · see citing works
Novel treatments for autism spectrum disorder based on genomics and systems biology
Baribeau, D. A., & Anagnostou, E. A. (2021) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2021.107939 · Cited by 50 · see citing works
Sabitha, K. R., Shetty, A. K., & Upadhya, D. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.12.025 · Cited by 48 · see citing works
Marta Ribasés, A., Mitjans, M., Hartman, C. A., Artigas, M. S., Demontis, D., Larsson, H., Ramos‐Quiroga, J. A., Kuntsi, J., Faraone, S. V., Ad, B., et al. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105313 · Cited by 47 · see citing works
Genetic Risk Underlying Psychiatric and Cognitive Symptoms in Huntington’s Disease
Ellis, N., Tee, A., McAllister, B., Massey, T. H., McLauchlan, D. J., Stone, T., Correia, K., Loupe, J. M., Kim, K., Barker, D., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.12.010 · Cited by 46 · see citing works
Moysés‐Oliveira, M., Yadav, R., Erdin, S., & Talkowski, M. E. (2020) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2020.07.001 · Cited by 45 · see citing works
Delineating early developmental pathways to ADHD: Setting an international research agenda
Miller, M. R., Arnett, A. B., Shephard, E., Charman, T., Gustafsson, H., Joseph, H. M., Karalunas, S. L., Nigg, J. T., Polanczyk, G. V., Sullivan, E. L., et al. (2023) · JCPP Advances · doi:10.1002/jcv2.12144 · Cited by 44 · see citing works
Oliver, K. L., Ellis, C. A., Scheffer, I. E., Ganesan, S., Leu, C., Sadleir, L. G., Heinzen, E. L., Mefford, H. C., Bass, A. J., Curtis, S. W., et al. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.104079 · Cited by 44 · see citing works
Dissecting the genetic basis of comorbid epilepsy phenotypes in neurodevelopmental disorders
Chow, J. C., Jensen, M., Amini, H., Hormozdiari, F., Penn, O., Shifman, S., Girirajan, S., & Hormozdiari, F. (2019) · Genome Medicine · doi:10.1186/s13073-019-0678-y · Cited by 44 · see citing works
Genetically transitional disease: a new concept in genomic medicine
Yao, Q., Gorevic, P. D., Shen, B., & Gibson, G. C. (2022) · Trends in Genetics · doi:10.1016/j.tig.2022.11.002 · Cited by 43 · see citing works
Ren, X., Wu, Q., Cui, N., Zhao, J., & Bi, H. (2023) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2022.104418 · Cited by 45 · see citing works
The genetics of human hematopoiesis and its disruption in disease
Bao, E. L., Cheng, A. N., & Sankaran, V. G. (2019) · EMBO Molecular Medicine · doi:10.15252/emmm.201910316 · Cited by 40 · see citing works
The role of common genetic variation in presumed monogenic epilepsies
Campbell, C., Leu, C., Feng, Y.-C. A., Wolking, S., Moreau, C., Ellis, C., Ganesan, S., Martins, H., Oliver, K., Boothman, I., et al. (2022) · eBioMedicine · doi:10.1016/j.ebiom.2022.104098 · Cited by 42 · see citing works
Genomics of schizophrenia, bipolar disorder and major depressive disorder
Owen, M. J., Bray, N. J., Walters, J., & O’Donovan, M. C. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-025-00843-0 · Cited by 42 · see citing works
The clinical and molecular spectrum of the KDM6B-related neurodevelopmental disorder
Rots, D., Jakub, T. E., Keung, C., Jackson, A., Banka, S., Pfundt, R., Vries, B. B. A. D., van Jaarsveld, R. H., Hopman, S. M. J., van Binsbergen, E., et al. (2023) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2023.04.008 · Cited by 39 · see citing works
Modulation of Serotonin Receptors in Neurodevelopmental Disorders: Focus on 5-HT7 Receptor
Lee, J., Avramets, D., Jeon, B., & Choo, H. (2021) · Molecules · doi:10.3390/molecules26113348 · Cited by 39 · see citing works
Mah, W., & Won, H. (2020) · Schizophrenia Research · doi:10.1016/j.schres.2019.03.007 · Cited by 38 · see citing works
Multi-omic analysis elucidates the genetic basis of hydrocephalus
Hale, A. T., Bastarache, L. A., Morales, D. M., Wellons, J. C., Limbrick, D. D., & Gamazon, E. R. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109085 · Cited by 39 · see citing works
Rare variants and the oligogenic architecture of autism
Wang, T., Zhao, P. A., & Eichler, E. E. (2022) · Trends in Genetics · doi:10.1016/j.tig.2022.03.009 · Cited by 35 · see citing works
Research models of neurodevelopmental disorders: The right model in the right place
Damianidou, E., Mouratidou, L., & Kyrousi, C. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1031075 · Cited by 36 · see citing works
Common Genetic Variants Contribute to Risk of Transposition of the Great Arteries
Škorić‐Milosavljević, D., Tadros, R., Bosada, F. M., Tessadori, F., van Weerd, J. H., Woudstra, O. I., Tjong, F. V. Y., Lahrouchi, N., Bajolle, F., Cordell, H. J., et al. (2021) · Circulation Research · doi:10.1161/circresaha.120.317107 · Cited by 36 · see citing works
Evaluating risk for alcohol use disorder: Polygenic risk scores and family history
Lai, D., Johnson, E. C., Colbert, S. M. C., Pandey, G., Chan, G., Bauer, L. O., Francis, M. W., HESSELBROCK, V. M., Kamarajan, C., Kramer, J., et al. (2022) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.14772 · Cited by 35 · see citing works
Fiksinski, A., Schneider, M., Zinkstok, J., Baribeau, D. A., Chawner, S. J. R. A., & Vorstman, J. A. S. (2021) · Current Psychiatry Reports · doi:10.1007/s11920-021-01225-z · Cited by 38 · see citing works
Hiatt, S. M., Neu, M. B., Ramaker, R. C., Hardigan, A. A., Prokop, J. W., Hančárová, M., Prchalová, D., Havlovičová, M., Prchal, J., Stránecký, V., et al. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007671 · Cited by 35 · see citing works
Canalization and Robustness in Human Genetics and Disease
Gibson, G. C., & Lacek, K. A. (2020) · Annual Review of Genetics · doi:10.1146/annurev-genet-022020-022327 · Cited by 33 · see citing works
Insights into attention-deficit/hyperactivity disorder from recent genetic studies
Brikell, I., Burton, C. L., Mota, N. R., & Martin, J. (2021) · Psychological Medicine · doi:10.1017/s0033291721000982 · Cited by 36 · see citing works
Yan, W., Yue, H., Ji, X., Li, G., & Sang, N. (2020) · Environment International · doi:10.1016/j.envint.2020.105659 · Cited by 30 · see citing works
Recent genetic and functional insights in autism spectrum disorder
Nakanishi, M., Anderson, M. P., & Takumi, T. (2019) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000718 · Cited by 28 · see citing works
Whole genome sequencing of 45 Japanese patients with intellectual disability
Abe‐Hatano, C., Iida, A., Kosugi, S., Momozawa, Y., Terao, C., Ishikawa, K., Okubo, M., Hachiya, Y., Nishida, H., Nakamura, K., et al. (2021) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.62138 · Cited by 29 · see citing works
Cantando, I., Centofanti, C., D’Alessandro, G., Limatola, C., & Bezzi, P. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1354259 · Cited by 26 · see citing works
Song, C., Jiang, Z., Liu, D., & Wu, L. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.960672 · Cited by 28 · see citing works
Davis, J. M., Heft, I., Scherer, S. W., & Sikela, J. M. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.18080993 · Cited by 26 · see citing works
Modifier genes in SCN1A ‐related epilepsy syndromes
Lange, I., Mulder, F. F. M., Slot, R. V. ‘., Sonsma, A. C. M., van Kempen, M. J. A., Nijman, I. J., Ernst, R. F., Knoers, N. V. A. M., Brilstra, E. H., & Koeleman, B. P. C. (2020) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.1103 · Cited by 27 · see citing works
A Unifying Theory for Autism: The Pathogenetic Triad as a Theoretical Framework
Sarovic, D. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.767075 · Cited by 26 · see citing works
- Authors
- Niemi, M. E. K., Martin, H. C., Rice, D. L., Gallone, G., Gordon, S., Kelemen, M., McAloney, K., McRae, J., Radford, E. J., Yu, S., Gecz, J., Martin, N. G., Wright, C. F., Fitzpatrick, D. R., Firth, H. V., Hurles, M. E., & Barrett, J. C.
- Affiliations
- Wellcome Sanger Institute (GB)
- QIMR Berghofer Medical Research Institute (AU)
- University of Cambridge (GB)
- South Australia Pathology (AU)
- University of Exeter (GB)
- Western General Hospital (GB)
- Cambridge University Hospitals NHS Foundation Trust (GB)
- Corresponding author
- Barrett, Jeffrey C.
- ORCID
- Venue
- Nature
- Published
- 2018-09-26
- Volume
- 562
- Issue
- 7726
- Pages
- 268-271
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC6726472
- OpenAlex
- W2952988698
- Cited by
- 340
- References
- 46
- Citations by year
- 2026: 20 · 2025: 45 · 2024: 39 · 2023: 41 · 2022: 54 · 2021: 52 · 2020: 41 · 2019: 41 · 2018: 7
- FWCI
- 21.62
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nd
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Open Research Exeter (University of Exeter) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Figshare (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- Apollo (University of Cambridge) (submittedVersion, cc-by-nc-nd)
- Apollo
- Funders
- University of Essex (ES/M008592/1)
- Wellcome Trust (HICF-1009-003, 091986, GEN/284/12, WT 098051, 10/H0305/83, 213422/Z/18/Z, 098051)
- Understanding Society
- National Institute for Health and Care Research (10/H0305/83, ACF-2015-14-007, HICF-1009-003, WT098051)
- Medical Research Council (MR/N01104X/1, MR/N01104X/2, WT098051, MC_UU_00007/3, Grant Number: MR/N01104X/1)
- Economic and Social Research Council (MR/N01104X/1, ES/M008592/1, ES/S008349/1)
- National Health and Medical Research Council
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- neurodevelopmental disorders, common genetic variants, monogenic disorders, global developmental delay, autism spectrum disorder, genetic burden, educational attainment, intelligence, schizophrenia risk, phenotypic expression, clinical heterogeneity, intracranial volume, birth weight, height
- MeSH terms
- Autistic Disorder, Birth Weight, Body Height, Developmental Disabilities, Female, Humans, Intelligence, Male, Phenotype, Schizophrenia, Genetic Variation, Cohort Studies, Linkage Disequilibrium, Case-Control Studies, Genetic Predisposition to Disease, Multifactorial Inheritance, Rare Diseases, Genome-Wide Association Study, Neurodevelopmental Disorders
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review