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Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases
Open accessAbstract
Regulatory and coding variants are known to be enriched with associations identified by genome-wide association studies (GWASs) of complex disease, but their contributions to trait heritability are currently unknown. We applied variance-component methods to imputed genotype data for 11 common diseases to partition the heritability explained by genotyped SNPs (hg(2)) across functional categories (while accounting for shared variance due to linkage disequilibrium). Extensive simulations showed that in contrast to current estimates from GWAS summary statistics, the variance-component approach partitions heritability accurately under a wide range of complex-disease architectures. Across the 11 diseases DNaseI hypersensitivity sites (DHSs) from 217 cell types spanned 16% of imputed SNPs (and 24% of genotyped SNPs) but explained an average of 79% (SE = 8%) of hg(2) from imputed SNPs (5.1× enrichment; p = 3.7 × 10(-17)) and 38% (SE = 4%) of hg(2) from genotyped SNPs (1.6× enrichment, p = 1.0 × 10(-4)). Further enrichment was observed at enhancer DHSs and cell-type-specific DHSs. In contrast, coding variants, which span 1% of the genome, explained <10% of hg(2) despite having the highest enrichment. We replicated these findings but found no significant contribution from rare coding variants in independent schizophrenia cohorts genotyped on GWAS and exome chips. Our results highlight the value of analyzing components of heritability to unravel the functional architecture of common disease.
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“Mapping genetic variants to gene expression and PPI networks has been fruitful, but most disease-associated variation in complex diseases lies in the noncoding regulatory regions of the genome188.”
From Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders (2015) · cites this paper as [188]
Citations
Cites
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
A method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
Self-citationGenome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Self-citationGCTA: a tool for genome-wide complex trait analysis
Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.11.011 · Cited by 8,279
Self-citationAn integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711
Self-citationBiological insights from 108 schizophrenia-associated genetic loci
Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014) · Nature · doi:10.1038/nature13595 · Cited by 7,577
Self-citationGenetics and Analysis of Quantitative Traits
(2002) · Journal of Animal Breeding and Genetics · doi:10.1046/j.1439-0388.2002.00356.x · Cited by 6,176
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Parker, C. C., Gopalakrishnan, S., Carbonetto, P. S., Gonzales, N. M., Leung, E., Park, Y. J., Aryee, E., Davis, J. R., Blizard, D. A., Ackert‐Bicknell, C. L., et al. (2016) · Nature Genetics · doi:10.1038/ng.3609 · Cited by 120
Transversions have larger regulatory effects than transitions
Guo, C., McDowell, I. C., Nodzenski, M., Scholtens, D. M., Allen, A. S., Lowe, W. L., & Reddy, T. E. (2017) · BMC Genomics · doi:10.1186/s12864-017-3785-4 · Cited by 129
Zhou, X. (2017) · The Annals of Applied Statistics · doi:10.1214/17-aoas1052 · Cited by 121
Pleiotropy, epistasis and the genetic architecture of quantitative traits
Mackay, T. F. C., & Anholt, R. R. H. (2024) · Nature Reviews Genetics · doi:10.1038/s41576-024-00711-3 · Cited by 125
Asthma Genetics in the Post-GWAS Era
Ober, C. (2016) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201507-459mg · Cited by 121
High-throughput allele-specific expression across 250 environmental conditionsPreprint
Moyerbrailean, G. A., Richards, A. L., Kurtz, D. A., Kalita, C. A., Davis, G. O., Harvey, C. T., Alazizi, A., Watza, D., Sorokin, Y., Hauff, N., et al. (2016) · Genome Research · doi:10.1101/gr.209759.116 · Cited by 124
Self-citationWang, X., Tucker, N. R., Rizki, G., Mills, R. W., Krijger, P. H. L., de Wit, E., Subramanian, V., Bartell, E., Nguyen, X.-X., Ye, J., et al. (2016) · eLife · doi:10.7554/elife.10557 · Cited by 114
Efficient set tests for the genetic analysis of correlated traits
Casale, F. P., Rakitsch, B., Lippert, C., & Stegle, O. (2015) · Nature Methods · doi:10.1038/nmeth.3439 · Cited by 116
Limited Contribution of DNA Methylation Variation to Expression Regulation in Arabidopsis thaliana
Meng, D., Dubin, M., Zhang, P., Osborne, E. J., Stegle, O., Clark, R. M., & Nordborg, M. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1006141 · Cited by 116
Leveraging gene-environment interactions and endotypes for asthma gene discovery
Bønnelykke, K., & Ober, C. (2016) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2016.01.006 · Cited by 113
Supervised enhancer prediction with epigenetic pattern recognition and targeted validation
Sethi, A., Gu, M., Gumusgoz, E., Chan, L., Yan, K.-K., Rozowsky, J., Barozzi, I., Afzal, V., Akiyama, J. A., Plajzer-Frick, I., et al. (2020) · Nature Methods · doi:10.1038/s41592-020-0907-8 · Cited by 109
Genetic and molecular architecture of complex traits
Lappalainen, T., Li, Y., Ramachandran, S., & Gusev, A. (2024) · Cell · doi:10.1016/j.cell.2024.01.023 · Cited by 125
Self-citationJosephs, E. B., Stinchcombe, J. R., & Wright, S. (2017) · New Phytologist · doi:10.1111/nph.14410 · Cited by 117
Shared heritability and functional enrichment across six solid cancers
Jiang, X., Finucane, H. K., Schumacher, F. R., Schmit, S. L., Tyrer, J. P., Han, Y., Michailidou, K., Lesseur, C., Kuchenbaecker, K. B., Dennis, J., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-08054-4 · Cited by 110
Self-citationCavalli, G., Hayashi, M., Jin, Y., Yorgov, D., Santorico, S. A., Holcomb, C. L., Rastrou, M. V., Erlich, H., Tengesdal, I. W., Dagna, L., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1523482113 · Cited by 105
Ohkura, N., Yasumizu, Y., Kitagawa, Y., Tanaka, A., Nakamura, Y., Motooka, D., Nakamura, S., Okada, Y., & Sakaguchi, S. (2020) · Immunity · doi:10.1016/j.immuni.2020.04.006 · Cited by 112
Crawford, L. A., Zeng, P., Mukherjee, S., & Zhou, X. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006869 · Cited by 108
Wu, Y., Zheng, Z., Visscher, P. M., & Yang, J. (2017) · Genome biology · doi:10.1186/s13059-017-1216-0 · Cited by 100
Self-citationVockley, C. M., Guo, C., Majoros, W. H., Nodzenski, M., Scholtens, D. M., Hayes, M. G., Lowe, W. L., & Reddy, T. E. (2015) · Genome Research · doi:10.1101/gr.190090.115 · Cited by 99
Neurobiological functions of transcriptional enhancers
Nord, A. S., & West, A. E. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0538-5 · Cited by 106
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Zeng, H., & Gifford, D. K. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx177 · Cited by 101
Insights from complex trait fine-mapping across diverse populationsPreprint
Kanai, M., Ulirsch, J. C., Karjalainen, J. M., Kurki, M., Karczewski, K. J., Fauman, E. B., Wang, Q. S., Jacobs, H., Aguet, F., Ardlie, K., et al. (2021) · medRxiv · doi:10.1101/2021.09.03.21262975 · Cited by 105
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Zhu, H., & Zhou, X. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.06.011 · Cited by 103
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Peterson, R. E., Cai, N., Bigdeli, T. B., Li, Y., Reimers, M., Nikulova, A., Webb, B. T., Bacanu, S., Riley, B. P., Flint, J., et al. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.3578 · Cited by 97
Self-citationWon, H., Natarajan, P., Dobbyn, A. L., Jordan, D. M., Roussos, P., Lage, K., Raychaudhuri, S., Stahl, E. A., & Do, R. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005622 · Cited by 94
Self-citationHe, H., Li, W., Liyanarachchi, S., Srinivas, M., Wang, Y., Akagi, K., Wang, Y., Wu, D., Wang, Q., Jin, V. X., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1506255112 · Cited by 89
Self-citationGuo, X., Lin, W., Bao, J., Cai, Q., Pan, X., Bai, M., Yuan, Y., Shi, J., Sun, Y., Han, M.-R., et al. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.03.016 · Cited by 89
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Karasik, D., Rivadeneira, F., & Johnson, M. L. (2016) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2016.48 · Cited by 88
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Guo, J., Wu, Y., Zhu, Z., Zheng, Z., Trzaskowski, M., Zeng, J., Robinson, M. R., Visscher, P. M., & Yang, J. (2018) · Nature Communications · doi:10.1038/s41467-018-04191-y · Cited by 91
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Liu, X., Finucane, H. K., Gusev, A., Bhatia, G., Gazal, S., O’Connor, L. J., Bulik-Sullivan, B. K., Wright, F. A., Sullivan, P. F., Neale, B. M., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.03.002 · Cited by 87
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Shang, L., Smith, J. A., Zhao, W., Kho, M., Turner, S. T., Mosley, T. H., Kardia, S. L. R., & Zhou, X. (2020) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2020.03.002 · Cited by 80
Ray, J. P., de Boer, C. G., Fulco, C. P., Lareau, C. A., Kanai, M., Ulirsch, J. C., Tewhey, R., Ludwig, L. S., Reilly, S. K., Bergman, D. T., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15022-4 · Cited by 75
Self-citationHauberg, M. E., Creus‐Muncunill, J., Bendl, J. M., Kozlenkov, A., Zeng, B., Corwin, C., Chowdhury, S., Kranz, H. D., Hurd, Y. L., Wegner, M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19319-2 · Cited by 75
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Wen, J., Tian, Y., Skampardoni, I., Yang, Z., Cui, Y., Anagnostakis, F., Mamourian, E., Zhao, B., Toga, A. W., Zalesky, A., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00662-8 · Cited by 77
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Barbeira, A. N., Dickinson, S. P., Bonazzola, R., Zheng, J., Wheeler, H. E., Torres, J. M., Torstenson, E. S., Shah, K. P., Garcia, T., Edwards, T. L., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03621-1 · Cited by 69
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Palamara, P. F., Francioli, L. C., Wilton, P., Genovese, G., Gusev, A., Finucane, H. K., Sankararaman, S., Sunyaev, S. R., de Bakker, P. I. W., Wakeley, J., et al. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.10.006 · Cited by 71
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Self-citationKundu, K., Tardáguila, M., Mann, A., Watt, S., Ponstingl, H., Vasquez, L. J., Schiller, D. V., Morrell, N. W., Stegle, O., Pastinen, T., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01025-y · Cited by 66
Noh, H. J., Tang, R., Flannick, J. A., O'Dushlaine, C. T., Swofford, R., Howrigan, D. P., Genereux, D. P., Johnson, J., van Grootheest, G., Grünblatt, E., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00831-x · Cited by 69
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Luo, Y., Li, X., Wang, X., Gazal, S., Mercader, J. M., Neale, B. M., Florez, J. C., Auton, A., Price, A. L., Finucane, H. K., et al. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab130 · Cited by 64
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Wen, J., Zhao, B., Yang, Z., Erus, G., Skampardoni, I., Mamourian, E., Cui, Y., Hwang, G., Bao, J., Boquet-Pujadas, A., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46796-6 · Cited by 65
Pasutto, F., Zenkel, M., Hoja, U., Berner, D., Uebe, S., Ferrazzi, F., Schödel, J., Liravi, P., Ozaki, M., Paoli, D., et al. (2017) · Nature Communications · doi:10.1038/ncomms15466 · Cited by 64
Zhu, Y., Tazearslan, C., & Suh, Y. (2017) · Experimental Biology and Medicine · doi:10.1177/1535370217713750 · Cited by 68
Schork, A. J., Wang, Y., Thompson, W. K., Dale, A. M., & Andreassen, O. A. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.10.008 · Cited by 64
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Corradin, O., Cohen, A. J., Luppino, J. M., Bayles, I., Schumacher, F. R., & Scacheri, P. C. (2016) · Nature Genetics · doi:10.1038/ng.3674 · Cited by 63
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Baca, S. C., Singler, C., Zacharia, S., Seo, J.-H., Morova, T., Hach, F., Ding, Y., Schwarz, T., Huang, C.-C. F., Anderson, J., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01168-y · Cited by 61
Self-citationLu, Z., Gopalan, S., Dong, Y., Conti, D. V., Paşaniuc, B., Gusev, A., & Mancuso, N. (2022) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2022.07.002 · Cited by 59
Self-citationPearl, J. R., Colantuoni, C., Bergey, D. E., Funk, C. C., Shannon, P. T., Basu, B., Casella, A. M., Oshone, R. T., Hood, L., Price, N. D., et al. (2019) · Cell Systems · doi:10.1016/j.cels.2019.01.002 · Cited by 60
Xiang, R., Fang, L., Liu, S., MacLeod, I. M., Liu, Z., Breen, E. J., Gao, Y., Liu, G. E., Tenesa, A., Mason, B., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100385 · Cited by 61
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Lehermeier, C., Campos, G. D. L., Wimmer, V., & Schön, C. (2017) · Journal of Animal Breeding and Genetics · doi:10.1111/jbg.12268 · Cited by 60
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Garieri, M., Delaneau, O., Santoni, F. A., Fish, R. J., Mull, D., Carninci, P., Dermitzakis, E. T., Antonarakis, S. E., & Fort, A. (2017) · Nature Communications · doi:10.1038/s41467-017-01467-7 · Cited by 61
Guo, X., Lin, W., Wen, W., Huyghe, J. R., Bien, S. A., Cai, Q., Harrison, T. A., Chen, Z., Qu, C., Bao, J., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.08.062 · Cited by 58
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Andersson, L. (2015) · Upsala Journal of Medical Sciences · doi:10.3109/03009734.2015.1091522 · Cited by 56
Hayashi, M., Jin, Y., Yorgov, D., Santorico, S. A., Hagman, J. R., Ferrara, T. M., Jones, K. L., Cavalli, G., Dinarello, C. A., & Spritz, R. A. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1525001113 · Cited by 56
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Cheng, L., Li, Y., Qi, Q., Xu, P., Feng, R., Palmer, L. E., Chen, J., Wu, R., Yee, T., Zhang, J., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00861-8 · Cited by 59
Efficient variance components analysis across millions of genomes
Pazokitoroudi, A., Wu, Y., Burch, K. S., Hou, K., Zhou, A., Pasaniuc, B., & Sankararaman, S. (2020) · Nature Communications · doi:10.1038/s41467-020-17576-9 · Cited by 55
Evaluation of an HMGA2 variant for pleiotropic effects on height and metabolic traits in ponies
Norton, E. M., Avila, F. F. D., Schultz, N. E., Mickelson, J. R., Geor, R. J., & McCue, M. E. (2019) · Journal of Veterinary Internal Medicine · doi:10.1111/jvim.15403 · Cited by 56
Guo, M. H., Nandakumar, S. K., Ulirsch, J. C., Zekavat, S. M., Buenrostro, J. D., Natarajan, P., Salem, R. M., Chiarle, R., Mitt, M., Kals, M., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1619052114 · Cited by 54
Self-citationRohde, P. D., Demontis, D., Cuyabano, B. C. D., The Genomic Medicine for Schizophrenia Group, Børglum, A. D., & Sørensen, P. (2016) · Genetics · doi:10.1534/genetics.116.189498 · Cited by 53
Self-citationA Scalable Bayesian Method for Integrating Functional Information in Genome-wide Association Studies
Yang, J., Fritsche, L. G., Zhou, X., & Abecasis, G. R. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.08.002 · Cited by 56
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Townsley, K. G., Brennand, K., & Huckins, L. M. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00740-1 · Cited by 52
Chen, W., McDonnell, S. K., Thibodeau, S. N., Tillmans, L. S., & Schaid, D. J. (2016) · Genetics · doi:10.1534/genetics.116.188953 · Cited by 52
Gusev, A., Shi, H., Kichaev, G., Pomerantz, M., Li, F., Long, H. W., Ingles, S. A., Kittles, R. A., Strom, S. S., Rybicki, B. A., et al. (2016) · Nature Communications · doi:10.1038/ncomms10979 · Cited by 51
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Self-citationLynall, M.-E., Soskic, B., Hayhurst, J. D., Schwartzentruber, J., Levey, D. F., Pathak, G. A., Polimanti, R. A., Gelernter, J. E., Stein, M. B., Trynka, G., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-33885-7 · Cited by 53
Self-citationZhang, Z., Wang, X., Park, S. S., Song, H., & Ming, G. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.12.015 · Cited by 49
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Siraj, L., Castro, R. I., Dewey, H. B., Kales, S., Butts, J. C., Nguyen, T. T. L., Kanai, M., Berenzy, D., Mouri, K., Wang, Q. S., et al. (2026) · Nature · doi:10.1038/s41586-026-10121-6 · Cited by 56
Self-citationPal, L. R., & Moult, J. (2015) · Journal of Molecular Biology · doi:10.1016/j.jmb.2015.04.014 · Cited by 51
Salfati, E., Morrison, A. C., Boerwinkle, E., & Chakravarti, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0133031 · Cited by 49
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Sørensen, I. F., Edwards, S. M., Rohde, P. D., & Sørensen, P. (2017) · Scientific Reports · doi:10.1038/s41598-017-02281-3 · Cited by 47
Shang, L., Zhao, W., Wang, Y.-Z., Li, Z., Choi, J. J., Kho, M., Mosley, T. H., Kardia, S. L. R., Smith, J. A., & Zhou, X. (2023) · Nature Communications · doi:10.1038/s41467-023-37961-4 · Cited by 48
Steen, V. M., Skrede, S., Polushina, T. V., López, M., Andreassen, O. A., Fernø, J., & Hellard, S. L. (2016) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2016.07.011 · Cited by 48
Self-citationGibson, G. C. (2015) · Science · doi:10.1126/science.aab3002 · Cited by 50
Chandler, M. R., Bilgili, E. P., & Merner, N. D. (2016) · Human Mutation · doi:10.1002/humu.23017 · Cited by 50
Metadata
- Authors
- Gusev, A., Lee, S. H., Trynka, G., Finucane, H., Vilhjálmsson, B. J., Xu, H., Zang, C., Ripke, S., Bulik-Sullivan, B., Stahl, E., Kähler, A. K., Hultman, C. M., Purcell, S. M., McCarroll, S. A., Daly, M., Pasaniuc, B., Sullivan, P. F., Neale, B. M., Wray, N. R., Raychaudhuri, S., Price, A. L., Ripke, S., Neale, B. M., Corvin, A., Walters, J. T. R., Farh, K.-H., Holmans, P. A., Lee, P., Bulik-Sullivan, B., Collier, D. A., Huang, H., Pers, T. H., Agartz, I., Agerbo, E., Albus, M., Alexander, M., Amin, F., Bacanu, S. A., Begemann, M., Belliveau, R. A., Bene, J., Bergen, S. E., Bevilacqua, E., Bigdeli, T. B., Black, D. W., Børglum, A. D., Bruggeman, R., Buccola, N. G., Buckner, R. L., Byerley, W., Cahn, W., Cai, G., Campion, D., Cantor, R. M., Carr, V. J., Carrera, N., Catts, S. V., Chambert, K. D., Chan, R. C. K., Chen, R. Y. L., Chen, E. Y. H., Cheng, W., Cheung, E. F. C., Chong, S. A., Cloninger, C. R., Cohen, D., Cohen, N., Cormican, P., Craddock, N., Crowley, J. J., Curtis, D., Davidson, M., Davis, K. L., Degenhardt, F., Del Favero, J., DeLisi, L. E., Demontis, D., Dikeos, D., Dinan, T., Djurovic, S., Donohoe, G., Drapeau, E., Duan, J., Dudbridge, F., Durmishi, N., Eichhammer, P., Eriksson, J., Escott-Price, V., Essioux, L., Fanous, A. H., Farrell, M. S., Frank, J., Franke, L., Freedman, R., Freimer, N. B., Friedl, M., Friedman, J. I., Fromer, M., Genovese, G., Georgieva, L., Gershon, E. S., Giegling, I., Giusti-Rodrguez, P., Godard, S., Goldstein, J. I., Golimbet, V., Gopal, S., Gratten, J., Grove, J., de Haan, L., Hammer, C., Hamshere, M. L., Hansen, M., Hansen, T., Haroutunian, V., Hartmann, A. M., Henskens, F. A., Herms, S., Hirschhorn, J. N., Hoffmann, P., Hofman, A., Hollegaard, M. V., Hougaard, D. M., Ikeda, M., Joa, I., Julià, A., Kahn, R. S., Kalaydjieva, L., Karachanak-Yankova, S., Karjalainen, J., Kavanagh, D., Keller, M. C., Kelly, B. J., Kennedy, J. L., Khrunin, A., Kim, Y., Klovins, J., Knowles, J. A., Konte, B., Kucinskas, V., Kucinskiene, Z. A., Kuzelova-Ptackova, H., Kähler, A. K., Laurent, C., Keong, J. L. C., Lee, S. H., Legge, S. E., Lerer, B., Li, M., Li, T., Liang, K.-Y., Lieberman, J., Limborska, S., Loughland, C. M., Lubinski, J., Lnnqvist, J., Macek, M., Magnusson, P. K. E., Maher, B. S., Maier, W., Mallet, J., Marsal, S., Mattheisen, M., Mattingsdal, M., McCarley, R. W., McDonald, C., McIntosh, A. M., Meier, S., Meijer, C. J., Melegh, B., Melle, I., Mesholam-Gately, R. I., Metspalu, A., Michie, P. T., Milani, L., Milanova, V., Mokrab, Y., Morris, D. W., Mors, O., Mortensen, P. B., Murphy, K. C., Murray, R. M., Myin-Germeys, I., Mller-Myhsok, B., Nelis, M., Nenadic, I., Nertney, D. A., Nestadt, G., Nicodemus, K. K., Nikitina-Zake, L., Nisenbaum, L., Nordin, A., O’Callaghan, E., O’Dushlaine, C., O’Neill, F. A., Oh, S.-Y., Olincy, A., Olsen, L., Van Os, J., Pantelis, C., Papadimitriou, G. N., Papiol, S., Parkhomenko, E., Pato, M. T., Paunio, T., Pejovic-Milovancevic, M., Perkins, D. O., Pietilinen, O., Pimm, J., Pocklington, A. J., Powell, J., Price, A., Pulver, A. E., Purcell, S. M., Quested, D., Rasmussen, H. B., Reichenberg, A., Reimers, M. A., Richards, A. L., Roffman, J. L., Roussos, P., Ruderfer, D. M., Salomaa, V., Sanders, A. R., Schall, U., Schubert, C. R., Schulze, T. G., Schwab, S. G., Scolnick, E. M., Scott, R. J., Seidman, L. J., Shi, J., Sigurdsson, E., Silagadze, T., Silverman, J. M., Sim, K., Slominsky, P., Smoller, J. W., So, H.-C., Spencer, C. C. A., Stahl, E. A., Stefansson, H., Steinberg, S., Stogmann, E., Straub, R. E., Strengman, E., Strohmaier, J., Stroup, T. S., Subramaniam, M., Suvisaari, J., Svrakic, D. M., Szatkiewicz, J. P., Sderman, E., Thirumalai, S., Toncheva, D., Tooney, P. A., Tosato, S., Veijola, J., Waddington, J., Walsh, D., Wang, D., Wang, Q., Webb, B. T., Weiser, M., Wildenauer, D. B., Williams, N. M., Williams, S., Witt, S. H., Wolen, A. R., Wong, E. H. M., Wormley, B. K., Wu, J. Q., Xi, H. S., Zai, C. C., Zheng, X., Zimprich, F., Wray, N. R., Stefansson, K., Visscher, P. M., Adolfsson, R., Andreassen, O. A., Blackwood, D. H. R., Bramon, E., Buxbaum, J. D., Brglum, A. D., Cichon, S., Darvasi, A., Domenici, E., Ehrenreich, H., Esko, T., Gejman, P. V., Gill, M., Gurling, H., Hultman, C. M., Iwata, N., Jablensky, A. V., Jönsson, E. G., Kendler, K. S., Kirov, G., Knight, J., Lencz, T., Levinson, D. F., Li, Q. S., Liu, J., Malhotra, A. K., McCarroll, S. A., McQuillin, A., Moran, J. L., Mortensen, P. B., Mowry, B. J., Nthen, M. M., Ophoff, R. A., Owen, M. J., Palotie, A., Pato, C. N., Petryshen, T. L., Posthuma, D., Rietschel, M., Riley, B. P., Rujescu, D., Sham, P. C., Sklar, P., St. Clair, D., Weinberger, D. R., Wendland, J. R., Werge, T., Daly, M. J., Sullivan, P. F., O’Donovan, M. C., Ripke, S., O’Dushlaine, C., Chambert, K., Moran, J. L., Kähler, A. K., Akterin, S., Bergen, S., Magnusson, P. K. E., Neale, B. M., Ruderfer, D., Scolnick, E., Purcell, S., McCarroll, S., Sklar, P., Hultman, C. M., & Sullivan, P. F.
- Affiliations
- Harvard University (US)
- Broad Institute (US)
- Massachusetts Institute of Technology (US)
- The University of Queensland (AU)
- Karolinska Institutet (SE)
- University of North Carolina at Chapel Hill (US)
- University of California, Los Angeles (US)
- Corresponding author
- Gusev, Alexander
- ORCID
- Gusev, Alexander
- Trynka, Gosia
- Finucane, Hilary
- Vilhjálmsson, Bjarni J.
- Xu, Han
- Zang, Chongzhi
- Raychaudhuri, Soumya
- Corvin, Aiden
- Walters, James T.R.
- Holmans, Peter A.
- Lee, Phil
- Collier, David A.
- Huang, Hailiang
- Pers, Tune H.
- Agartz, Ingrid
- Agerbo, Esben
- Albus, Margot
- Bacanu, Silviu A.
- Begemann, Martin
- Bene, Judit
- Bigdeli, Tim B.
- Black, Donald W.
- Børglum, Anders D.
- Bruggeman, Richard
- Buccola, Nancy G.
- Buckner, Randy L.
- Cahn, Wiepke
- Campion, Dominique
- Cantor, Rita M.
- Carr, Vaughan J.
- Carrera, Noa
- Catts, Stanley V.
- Chan, Raymond C.K.
- Chen, Eric Y.H.
- Cheng, Wei
- Cheung, Eric F.C.
- Chong, Siow Ann
- Cloninger, C. Robert
- Cohen, David
- Cohen, Nadine
- Craddock, Nick
- Crowley, James J.
- Curtis, David
- Davidson, Michael
- Davis, Kenneth L.
- Degenhardt, Franziska
- DeLisi, Lynn E.
- Demontis, Ditte
- Dinan, Timothy
- Djurovic, Srdjan
- Donohoe, Gary
- Drapeau, Elodie
- Duan, Jubao
- Dudbridge, Frank
- Eriksson, Johan
- Fanous, Ayman H.
- Farrell, Martilias S.
- Frank, Josef
- Franke, Lude
- Freedman, Robert
- Freimer, Nelson B.
- Friedman, Joseph I.
- Fromer, Menachem
- Genovese, Giulio
- Gershon, Elliot S.
- Giegling, Ina
- Goldstein, Jacqueline I.
- Gopal, Srihari
- Gratten, Jacob
- Grove, Jakob
- Hammer, Christian
- Hamshere, Marian L.
- Hansen, Thomas
- Haroutunian, Vahram
- Hartmann, Annette M.
- Herms, Stefan
- Hirschhorn, Joel N.
- Hoffmann, Per
- Hollegaard, Mads V.
- Hougaard, David M.
- Ikeda, Masashi
- Joa, Inge
- Julià, Antonio
- Kahn, René S.
- Karachanak-Yankova, Sena
- Karjalainen, Juha
- Kavanagh, David
- Keller, Matthew C.
- Kelly, Brian J.
- Kennedy, James L.
- Kim, Yunjung
- Knowles, James A.
- Konte, Bettina
- Kuzelova-Ptackova, Hana
- Legge, Sophie E.
- Lerer, Bernard
- Li, Miaoxin
- Li, Tao
- Lieberman, Jeffrey
- Loughland, Carmel M.
- Maher, Brion S.
- Marsal, Sara
- Mattheisen, Manuel
- Mattingsdal, Morten
- McCarley, Robert W.
- McDonald, Colm
- McIntosh, Andrew M.
- Meier, Sandra
- Meijer, Carin J.
- Melle, Ingrid
- Metspalu, Andres
- Michie, Patricia T.
- Milani, Lili
- Milanova, Vihra
- Mokrab, Younes
- Morris, Derek W.
- Mors, Ole
- Murphy, Kieran C.
- Murray, Robin M.
- Nelis, Mari
- Nestadt, Gerald
- Nicodemus, Kristin K.
- O’Neill, F. Anthony
- Olsen, Line
- Pantelis, Christos
- Papadimitriou, George N.
- Papiol, Sergi
- Pato, Michele T.
- Paunio, Tiina
- Pejovic-Milovancevic, Milica
- Perkins, Diana O.
- Pocklington, Andrew J.
- Powell, John
- Quested, Digby
- Reichenberg, Abraham
- Reimers, Mark A.
- Richards, Alexander L.
- Roffman, Joshua L.
- Roussos, Panos
- Salomaa, Veikko
- Sanders, Alan R.
- Schall, Ulrich
- Schubert, Christian R.
- Schulze, Thomas G.
- Scott, Rodney J.
- Seidman, Larry J.
- Shi, Jianxin
- Silagadze, Teimuraz
- Sim, Kang
- Slominsky, Petr
- Smoller, Jordan W.
- So, Hon-Cheong
- Spencer, Chris C.A.
- Steinberg, Stacy
- Straub, Richard E.
- Strengman, Eric
- Strohmaier, Jana
- Stroup, T. Scott
- Subramaniam, Mythily
- Suvisaari, Jaana
- Szatkiewicz, Jin P.
- Toncheva, Draga
- Tooney, Paul A.
- Tosato, Sarah
- Veijola, Juha
- Waddington, John
- Wang, Dai
- Wang, Qiang
- Webb, Bradley T.
- Weiser, Mark
- Wildenauer, Dieter B.
- Williams, Nigel M.
- Williams, Stephanie
- Witt, Stephanie H.
- Wolen, Aaron R.
- Wu, Jing Qin
- Xi, Hualin Simon
- Zai, Clement C.
- Zheng, Xuebin
- Zimprich, Fritz
- Visscher, Peter M.
- Adolfsson, Rolf
- Andreassen, Ole A.
- Blackwood, Douglas H.R.
- Bramon, Elvira
- Buxbaum, Joseph D.
- Cichon, Sven
- Domenici, Enrico
- Ehrenreich, Hannelore
- Esko, Tõnu
- Gill, Michael
- Iwata, Nakao
- Jablensky, Assen V.
- Jönsson, Erik G.
- Kendler, Kenneth S.
- Kirov, George
- Knight, Jo
- Lencz, Todd
- Levinson, Douglas F.
- Li, Qingqin S.
- Liu, Jianjun
- Malhotra, Anil K.
- McQuillin, Andrew
- Mowry, Bryan J.
- Ophoff, Roel A.
- Owen, Michael J.
- Palotie, Aarno
- Pato, Carlos N.
- Petryshen, Tracey L.
- Rietschel, Marcella
- Riley, Brien P.
- Rujescu, Dan
- Sham, Pak C.
- Weinberger, Daniel R.
- Wendland, Jens R.
- Werge, Thomas
- O’Donovan, Michael C.
- Venue
- The American Journal of Human Genetics
- Publisher
- Elsevier BV
- Published
- 2014-11
- Volume
- 95
- Issue
- 5
- Pages
- 535-552
- ISSN
- 0002-9297 (ISSN-L)
- PMC
- PMC4225595
- OpenAlex
- W2159417227
- Cited by
- 544
- References
- 88
- Citations by year
- 2026: 16 · 2025: 26 · 2024: 30 · 2023: 29 · 2022: 56 · 2021: 42 · 2020: 43 · 2019: 58 · 2018: 59 · 2017: 65 · 2016: 73 · 2015: 45 · 2014: 2
- FWCI
- 40.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- The American Journal of Human Genetics (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- Research Explorer (The University of Manchester) (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- EPubDev Repository (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
- Institutional Research Information System (Università degli Studi di Trento) (submittedVersion)
- Lirias (submittedVersion)
- GRO (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Research Portal (Queen's University Belfast) (submittedVersion)
- RUNE (Research UNE) (submittedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- NOVA (University of Newcastle Australia) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- UNC Libraries
- Funders
- Hertz Foundation
- Wellcome Trust (076113)
- Lundbeckfonden (R155-2014-1724)
- National Institutes of Health (5r01ar063759-07, 5u01mh094432-04)
- Medical Research Council (MR/L010305/1)
- Australian Research Council (FT0991360, DE130100614)
- National Health and Medical Research Council (613602)
- National Institute of Mental Health (U01MH096296, U01 MH094432, R01MH085548, T32MH020030, R01MH101244)
- National Human Genome Research Institute (R03HG006731, 1U01HG0070033)
- National Institute of General Medical Sciences (R01GM105857, F32GM106584)
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (R01-AR063759)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- regulatory variants, enhancers, common complex diseases, variance components, linkage disequilibrium, coding variants, rare coding variants, schizophrenia, genome-wide association study
- MeSH terms
- Computer Simulation, Humans, Models, Genetic, Genetic Variation, Open Reading Frames, Genetic Diseases, Inborn, Inheritance Patterns, Regulatory Elements, Transcriptional, Genome-Wide Association Study
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.
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