Shi J-J, Mao C-Y, Guo Y-Z, Fan Y, Hao X-Y, Li S-J, Tian J, Hu Z-W, et al. (2024), Joint analysis of proteome, transcriptome, and multi-trait analysis to identify novel Parkinson’s disease risk genes. Aging 16:1555-1580.

Qi T, Song L, Guo Y, Chen C, Yang J (2024), From genetic associations to genes: methods, applications, and challenges. Trends in Genetics 40:642-667.

Zheng Z, Liu S, Sidorenko J, Wang Y, Lin T, Yengo L, Turley P, Ani A, et al. (2024), Leveraging functional genomic annotations and genome coverage to improve polygenic prediction of complex traits within and between ancestries. Nature Genetics 56:767-777.

Hatton AA, Cheng F-F, Lin T, Shen R-J, Chen J, Zheng Z, Qu J, Lyu F, et al. (2024), Genetic control of DNA methylation is largely shared across European and East Asian populations. Nature Communications 15:2713.

Xue A, Zhu Z, Wang H, Jiang L, Visscher PM, Zeng J, Yang J (2024), Unravelling the complex causal effects of substance use behaviours on common diseases. Communications Medicine 4:43.

He Y, Zheng W, Guo Y, Yue T, Cui C, Ouzhuluobu, Zhang H, Liu K, et al. (2023), Deep phenotyping of 11,880 highlanders reveals novel adaptive traits in native Tibetans. iScience 26:107677.

Yang J (2023), Expanding the genetic landscape of obesity. Cell Genomics 3:100400.

Wang H, Makowski C, Zhang Y, Qi A, Kaufmann T, Smeland OB, Fiecas M, Yang J, et al. (2023), Chromosomal inversion polymorphisms shape human brain morphology. Cell Reports 42.

Ma Y, Deng C, Zhou Y, Zhang Y, Qiu F, Jiang D, Zheng G, Li J, et al. Polygenic regression uncovers trait-relevant cellular contexts through pathway activation transformation of single-cell RNA sequencing data. Cell Genomics 3:100383.

Zhang R, Fang J, Qi T, Zhu S, Yao L, Fang G, Li Y, Zang X, et al. (2023), Maternal aging increases offspring adult body size via transmission of donut-shaped mitochondria. Cell Research 33:821-834.

Song L, Sun X, Qi T, Yang J (2023), Mixed model-based deconvolution of cell-state abundances (MeDuSA) along a one-dimensional trajectory. Nature Computational Science 3:630-643.

Wu Y, Qi T, Wray NR, Visscher PM, Zeng J, Yang J (2023), Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes. Cell Genomics 3:100344.

Pairo-Castineira E, Rawlik K, Bretherick AD, Qi T, Wu Y, Nassiri I, McConkey GA, Zechner M, et al. (2023), GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19. Nature 617:764-768.

Su J, Yuan J, Xu L, Xing S, Sun M, Yao Y, Ma Y, Chen F, et al. (2023), Sequencing of 19,219 exomes identifies a low-frequency variant in FKBP5 promoter predisposing to high myopia in a Han Chinese population. Cell Reports 42:112510.

Gu Y, Zhang T, Wang J, Song Y, Meng G, Wu H, Zhang S, Wang X, et al. (2023), Genetic risk, muscle strength and risk of incident major depressive disorder: results from the UK Biobank. Age and Ageing 52:afad021.

Makowski C, Wang H, Srinivasan A, Qi A, Qiu Y, van der Meer D, Frei O, Zou J, et al. (2023), Larger cerebral cortex is genetically correlated with greater frontal area and dorsal thickness. Proceedings of the National Academy of Sciences 120:e2214834120.

Xu F, Yu EY-W, Cai X, Yue L, Jing L-p, Liang X, Fu Y, Miao Z, et al. (2023), Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility. Nature Communications 14:896.

Pan H, Liu Z, Ma J, Li Y, Zhao Y, Zhou X, Xiang Y, Wang Y, et al. (2023), Genome-wide association study using whole-genome sequencing identifies risk loci for Parkinson’s disease in Chinese population. npj Parkinson's Disease 9:22.

Gu Y, Song Z, Li Q, Wang J, Song Y, Meng G, Wu H, Zhang S, et al. (2023), Association of thyroid-stimulating hormone with all-cause mortality: A two-sample Mendelian randomization study. The Journal of Clinical Endocrinology & Metabolism 108:e396-e403.

Li A, Liu S, Bakshi A, Jiang L, Chen W, Zheng Z, Sullivan PF, Visscher PM, et al. (2023), mBAT-combo: A more powerful test to detect gene-trait associations from GWAS data. The American Journal of Human Genetics 110:30-43.

Kanoni S, Graham SE, Wang Y, Surakka I, Ramdas S, Zhu X, Clarke SL, Bhatti KF, et al. (2022), Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis. Genome Biology 23:268.

Yengo L, Vedantam S, Marouli E, Sidorenko J, Bartell E, Sakaue S, Graff M, Eliasen AU, et al. (2022), A saturated map of common genetic variants associated with human height. Nature 610:704–712.

Ramdas S, Judd J, Graham SE, Kanoni S, Wang Y, Surakka I, Wenz B, Clarke SL, et al. (2022), A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids. The American Journal of Human Genetics 109:1366-1387.

Qi T, Wu Y, Fang H, Zhang F, Liu S, Zeng J, Yang J (2022), Genetic control of RNA splicing and its distinct role in complex trait variation. Nature Genetics 54:1355-1363.

Couvy-Duchesne B, Zhang F, Kemper KE, Sidorenko J, Wray NR, Visscher PM, Colliot O, Yang J (2022), Parsimonious model for mass-univariate vertexwise analysis. Journal of Medical Imaging 9:052404.

Trubetskoy V, Pardiñas AF, Qi T, Panagiotaropoulou G, Awasthi S, Bigdeli TB, Bryois J, Chen C-Y, et al. (2022), Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature 604:502-508.

Kousathanas A, Pairo-Castineira E, Rawlik K, Stuckey A, Odhams CA, Walker S, Russell CD, Malinauskas T, et al. (2022), Whole genome sequencing reveals host factors underlying critical Covid-19. Nature 607:97-103.

Wainschtein P, Jain D, Zheng Z, Aslibekyan S, Becker D, Bi W, Brody J, Carlson JC, et al. (2022), Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data. Nature Genetics 54:263–273.

Makowski C, Meer Dvd, Dong W, Wang H, Wu Y, Zou J, Liu C, Rosenthal SB, et al. (2022), Discovery of genomic loci of the human cerebral cortex using genetically informed brain atlases. Science 375:522-528.

Graham SE, Clarke SL, Wu KH, Kanoni S, Zajac GJM, Ramdas S, Surakka I, Ntalla I, et al. (2021), The power of genetic diversity in genome-wide association studies of lipids. Nature 600:675-679.

Chen W, Wu Y, Zheng Z, Qi T, Visscher PM, Zhu Z, Yang J (2021), Improved analyses of GWAS summary statistics by reducing data heterogeneity and errors. Nature Communications 12:7117.

Adolphe C, Xue A, Fard AT, Genovesi LA, Yang J, Wainwright BJ (2021), Genetic and functional interaction network analysis reveals global enrichment of regulatory T cell genes influencing basal cell carcinoma susceptibility. Genome Medicine 13:19.

Jiang L, Zheng Z, Fang H, Yang J (2021), A generalized linear mixed model association tool for biobank-scale data. Nature Genetics 53:1616-1621.

Ni G, Zeng J, Revez JA, Wang Y, Zheng Z, Ge T, Restuadi R, Kiewa J, et al. (2021), A comparison of ten polygenic score methods for psychiatric disorders applied across multiple cohorts. Biological Psychiatry 90:611-620.

Lumbers RT, Shah S, Lin H, Czuba T, Henry A, Swerdlow DI, Malarstig A, Andersson C, et al. (2021), The genomics of heart failure: design and rationale of the HERMES consortium. ESC Heart Fail 8:5531-5541.

Vosa U, Claringbould A, Westra HJ, Bonder MJ, Deelen P, Zeng B, Kirsten H, Saha A, et al. (2021), Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression. Nature Genetics 53:1300-1310.

Hemani G, Powell JE, Wang HW, Shakhbazov K, Westra HJ, Esko T, Henders AK, McRae AF, et al. (2021), Phantom epistasis between unlinked loci. Nature 596:E1-E3.

Yengo L, Yang J, Keller MC, Goddard ME, Wray NR, Visscher PM (2021), Genomic partitioning of inbreeding depression in humans. American Journal of Human Genetics 108:1488-1501.

Fu YQ, Xu FZ, Jiang LD, Miao ZL, Liang XX, Yang J, Larsson SC, Zheng JS (2021), Circulating vitamin C concentration and risk of cancers: a Mendelian randomization study. BMC Medicine 19:171.

Hivert V, Sidorenko J, Rohart F, Goddard ME, Yang J, Wray NR, Yengo L, Visscher PM (2021), Estimation of non-additive genetic variance in human complex traits from a large sample of unrelated individuals. The American Journal of Human Genetics 108:786-798.

Sun XW, Yang J (2021), Towards the understanding of the genetics of somatic mutations. British Journal of Cancer 125:627–628.

Nabais MF, Laws SM, Lin T, Vallerga CL, Armstrong NJ, Blair IP, Kwok JB, Mather KA, et al. (2021), Meta-analysis of genome-wide DNA methylation identifies shared associations across neurodegenerative disorders. Genome Biology 22:90.

Guo J, Bakshi A, Wang Y, Jiang LD, Yengo L, Goddard ME, Visscher PM, Yang J (2021), Quantifying genetic heterogeneity between continental populations for human height and body mass index. Scientific Reports 11:5240.

Pairo-Castineira E, Clohisey S, Klaric L, Bretherick AD, Rawlik K, Pasko D, Walker S, Parkinson N, et al. (2021), Genetic mechanisms of critical illness in COVID-19. Nature 591:92-98.

Sun XW, Xue AL, Qi T, Chen D, Shi DD, Wu Y, Zheng ZL, Zeng J, et al. (2021), Tumor Mutational Burden Is Polygenic and Genetically Associated with Complex Traits and Diseases. Cancer Research 81:1230-1239.

Zeng J, Xue A, Jiang L, Lloyd-Jones LR, Wu Y, Wang H, Zheng Z, Yengo L, et al. (2021), Widespread signatures of natural selection across human complex traits and functional genomic categories. Nature Communications 12:1164.

Kemper KE, Yengo L, Zheng Z, Abdellaoui A, Keller MC, Goddard ME, Wray NR, Yang J, et al. (2021), Phenotypic covariance across the entire spectrum of relatedness for 86 billion pairs of individuals. Nature Communications 12:1050.

Couvy-Duchesne B, Zhang FT, Kemper KE, Sidorenko J, Wray NR, Visscher PM, Yang J, Colliot O (2021), Association and prediction of phenotypic traits from neuroimaging data using a multi-component mixed model excluding the target vertex. Proceedings of SPIE - The International Society for Optical Engineering 11596.

Palmer RHC, Benca-Bachman CE, Huggett SB, Bubier JA, McGeary JE, Ramgiri N, Srijeyanthan J, Yang J, et al. (2021), Multi-omic and multi-species meta-analyses of nicotine consumption. Translational Psychiatry 11:98.

Kahali B, Chen Y, Feitosa MF, Bielak LF, O'Connell JR, Musani SK, Hegde Y, Chen YH, et al. (2021), A Noncoding Variant Near PPP1R3B Promotes Liver Glycogen Storage and MetS, but Protects Against Myocardial Infarction. The Journal of Clinical Endocrinology & Metabolism 106:372-387.

Xue A, Jiang LD, Zhu ZH, Wray NR, Visscher PM, Zeng J, Yang J (2021), Genome-wide analyses of behavioural traits are subject to bias by misreports and longitudinal changes. Nature Communications 12:20211.

Shen X, Howard DM, Adams MJ, Hill WD, Clarke TK, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Deary IJ, Whalley HC, et al. (2020), A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank. Nature Communications 11:2301.

Shah S, Henry A, Roselli C, Lin HH, Sveinbjornsson G, Fatemifar G, Hedman AK, Wilk JB, et al. (2020), Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure. Nature Communications 11:163.

Wang Y, Guo J, Ni GY, Yang J, Visscher PM, Yengo L (2020), Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations. Nature Communications 11:3865.

Folkersen L, Gustafsson S, Wang Q, Hansen DH, Hedman AK, Schork A, Page K, Zhernakova DV, et al. (2020), Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals. Nature Metabolism 2:1135-1148.

Xu FZ, Fu YQ, Sun TY, Jiang ZL, Miao ZL, Shuai ML, Gou WL, Ling CW, et al. (2020), The interplay between host genetics and the gut microbiome reveals common and distinct microbiome features for complex human diseases. Microbiome 8:145.

Couvy-Duchesne B, Strike LT, Zhang FT, Holtz Y, Zheng ZL, Kemper KE, Yengo L, Colliot O, et al. (2020), A unified framework for association and prediction from vertex-wise grey-matter structure. Human Brain Mapping 41:4062-4076.

Zhang Q, Sidorenko J, Couvy-Duchesne B, Marioni RE, Wright MJ, Goate AM, Marcora E, Huang KL, et al. (2020), Risk prediction of late-onset Alzheimer's disease implies an oligogenic architecture. Nature Communications 11:4799.

Coleman JRI, Peyrot WJ, Purves KL, Davis KAS, Rayner C, Choi SW, Hubel C, Gaspar HA, et al. (2020), Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank. Molecular Psychiatry 25:1430-1446.

Byrne EM, Zhu ZH, Qi T, Skene NG, Bryois J, Pardinas AF, Stahl E, Smoller JW, et al. (2020), Conditional GWAS analysis to identify disorder-specific SNPs for psychiatric disorders. Molecular Psychiatry 26:2070–2081.

Wu Y, Qi T, Wang HW, Zhang FT, Zheng ZL, Phillips-Cremins JE, Deary IJ, McRae AF, et al. (2020), Promoter-anchored chromatin interactions predicted from genetic analysis of epigenomic data. Nature Communications 11:2061.

Revez JA, Lin T, Qiao Z, Xue AL, Holtz Y, Zhu ZH, Zeng J, Wang HW, et al. (2020), Genome-wide association study identifies 143 loci associated with 25 hydroxyvitamin D concentration. Nature Communications 11:1647.

Yang J (2020), The SNP-Based Heritability - A Commentary on Yang et al. (2010). Twin Research and Human Genetics 23:118-119.

Mefford J, Park D, Zheng ZL, Ko AH, Ala-Korpela M, Laakso M, Pajukanta P, Yang J, et al. (2020), Efficient Estimation and Applications of Cross-Validated Genetic Predictions to Polygenic Risk Scores and Linear Mixed Models. Journal of Computational Biology 27:599-612.

Vallerga CL, Zhang FT, Fowdar J, McRae AF, Qi T, Nabais MF, Zhang Q, Kassam I, et al. (2020), Analysis of DNA methylation associates the cystine-glutamate antiporter SLC7A11 with risk of Parkinson's disease. Nature Communications 11:1238.

Glanville KP, Coleman JRI, Hanscombe KB, Euesden J, Choi SW, Purves KL, Breen G, Air TM, et al. (2020), Classical Human Leukocyte Antigen Alleles and C4 Haplotypes Are Not Significantly Associated With Depression. Biological Psychiatry 87:419-430.

Mortlock S, Kendarsari RI, Fung JN, Gibson G, Yang F, Restuadi R, Girling JE, Holdsworth-Carson SJ, et al. (2020), Tissue specific regulation of transcription in endometrium and association with disease. Human Reproduction 35:377-393.

Nabais MF, Lin T, Benyamin B, Williams KL, Garton FC, Vinkhuyzen AAE, Zhang FT, Vallerga CL, et al. (2020), Significant out-of-sample classification from methylation profile scoring for amyotrophic lateral sclerosis. npj Genomic Medicine 5:10.

Bond TA, Karhunen V, Wielscher M, Auvinen J, Mannikko M, Keinanen-Kiukaanniemi S, Gunter MJ, Felix JF, et al. (2020), Exploring the role of genetic confounding in the association between maternal and offspring body mass index: evidence from three birth cohorts. International Journal of Epidemiology 49:233-243.

McCartney DL, Zhang FT, Hillary RF, Zhang Q, Stevenson AJ, Walker RM, Bermingham ML, Boutin T, et al. (2019), An epigenome-wide association study of sex-specific chronological ageing. Genome Medicine 12:1.

Jiang LD, Zheng ZL, Qi T, Kemper KE, Wray NR, Visscher PM, Yang J (2019), A resource-efficient tool for mixed model association analysis of large-scale data. Nature Genetics 51:1749-1755.

Xu J, Falconer C, Nguyen Q, Crawford J, McKinnon BD, Mortlock S, Senabouth A, Andersen S, et al. (2019), Genotype-free demultiplexing of pooled single-cell RNA-seq. Genome Biology 20:290.

Czamara D, Eraslan G, Page CM, Lahti J, Lahti-Pulkkinen M, Hamalainen E, Kajantie E, Laivuori H, et al. (2019), Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns. Nature Communications 10:2548.

Noyce AJ, Bandres-Ciga S, Kim J, Heilbron K, Kia D, Hemani G, Xue A, Lawlor DA, et al. (2019), The Parkinson's Disease Mendelian Randomization Research Portal. Movement Disorders 34:1864-1872.

Abdellaoui A, Hugh-Jones D, Yengo L, Kemper KE, Nivard MG, Veul L, Holtz Y, Zietsch BP, et al. (2019), Genetic correlates of social stratification in Great Britain. Nature Human Behaviour 3:1332-1342.

Nalls MA, Blauwendraat C, Vallerga CL, Heilbron K, Bandres-Ciga S, Chang D, Tan M, Kia DA, et al. (2019), Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies. The Lancet Neurology 18:1091-1102.

Mortlock S, Restuadi R, Levien R, Girling JE, Holdsworth-Carson SJ, Healey M, Zhu ZH, Qi T, et al. (2019), Genetic regulation of methylation in human endometrium and blood and gene targets for reproductive diseases. Clinical Epigenetics 11:49.

Wu YD, Byrne EM, Zheng ZL, Kemper KE, Yengo L, Mailett AJ, Yang J, Visscher PM, et al. (2019), Genome-wide association study of medication-use and associated disease in the UK Biobank. Nature Communications 10:1891.

Arnau-Soler A, Macdonald-Dunlop E, Adams MJ, Clarke TK, MacIntyre DJ, Milburn K, Navrady L, Hayward C, et al. (2019), Genome-wide by environment interaction studies of depressive symptoms and psychosocial stress in UK Biobank and Generation Scotland. Translational Psychiatry 9:14.

Lloyd-Jones LR, Zeng J, Sidorenko J, Yengo L, Moser G, Kemper KE, Wang HW, Zheng ZL, et al. (2019), Improved polygenic prediction by Bayesian multiple regression on summary statistics. Nature Communications 10:5086.

Byrne EM, Ferreira MAR, Xue AL, Lindstrom S, Jiang X, Yang J, Easton DF, Wray NR, et al. (2019), Is Schizophrenia a Risk Factor for Breast Cancer?-Evidence From Genetic Data. Schizophrenia Bulletin 45:1251-1256.

Kassam I, Wu Y, Yang J, Visscher PM, McRae AF (2019), Tissue-specific sex differences in human gene expression. Human Molecular Genetics 28:2976-2986.

Zhang Q, Vallerga CL, Walker RM, Lin T, Henders AK, Montgomery GW, He J, Fan DS, et al. (2019), Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing. Genome Medicine 11:54.

Wang HW, Zhang FT, Zeng J, Wu Y, Kemper KE, Xue AL, Zhang M, Powell JE, et al. (2019), Genotype-by-environment interactions inferred from genetic effects on phenotypic variability in the UK Biobank. Science Advances 5.

Deng L, Zhang C, Yuan K, Gao Y, Pan YW, Ge XL, He YX, Yuan Y, et al. (2019), Prioritizing natural-selection signals from the deep-sequencing genomic data suggests multi-variant adaptation in Tibetan highlanders. National Science Review 6:1201-1222.

Porcu E, Rueger S, Lepik K, Agbessi M, Ahsan H, Alves I, Andiappan A, Arindrarto W, et al. (2019), Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits. Nature Communications 10:3300.

Sidorenko J, Kassam I, Kemper KE, Zeng J, Lloyd-Jones LR, Montgomery GW, Gibson G, Metspalu A, et al. (2019), The effect of X-linked dosage compensation on complex trait variation. Nature Communications 10:3009.

Zeng B, Lloyd-Jones LR, Montgomery GW, Metspalu A, Esko T, Franke L, Vosa U, Claringbould A, et al. (2019), Comprehensive Multiple eQTL Detection and Its Application to GWAS Interpretation. Genetics 212:905-918.

Zhang FT, Chen WH, Zhu ZH, Zhang Q, Nabais MF, Qi T, Deary IJ, Wray NR, et al. (2019), OSCA: a tool for omic-data-based complex trait analysis. Genome Biology 20:107.

Polimanti R, Peterson RE, Ong JS, MacGregor S, Edwards AC, Clarke TK, Frank J, Gerring Z, et al. (2019), Evidence of causal effect of major depression on alcohol dependence: findings from the psychiatric genomics consortium. Psychological Medicine 49:1218-1226.

Yang YJ, van der Klaauw AA, Zhu LR, Cacciottolo TM, He YL, Stadler LKJ, Wang CM, Xu PW, et al. (2019), Steroid receptor coactivator-1 modulates the function of Pomc neurons and energy homeostasis. Nature Communications 10:1718.

Choi KW, Chen CY, Stein MB, Klimentidis YC, Wang MJ, Koenen KC, Smoller JW, Wray NR, et al. (2019), Assessment of Bidirectional Relationships Between Physical Activity and Depression Among Adults A 2-Sample Mendelian Randomization Study. JAMA Psychiatry 76:399-408.

Marouli E, Del Greco MF, Astley CM, Yang J, Ahmad S, Berndt SI, Caulfield MJ, Evangelou E, et al. (2019), Mendelian randomisation analyses find pulmonary factors mediate the effect of height on coronary artery disease. Communications Biology 2:119.

Grove J, Ripke S, Als TD, Mattheisen M, Walters RK, Won H, Pallesen J, Agerbo E, et al. (2019), Identification of common genetic risk variants for autism spectrum disorder. Nature Genetics 51:431-444.

Lakhani CM, Tierney BT, Manrai AK, Yang J, Visscher PM, Patel CJ (2019), Repurposing large health insurance claims data to estimate genetic and environmental contributions in 560 phenotypes. Nature Genetics 51:327-334.

Linner RK, Biroli P, Kong E, Meddens FW, Wedow R, Fontana MA, Lebreton M, Tino SP, et al. (2019), Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences. Nature Genetics 51:245-257.

Tazelaar G, Dekker AM, van Vugt J, van der Spek RA, Westeneng HJ, Kool L, Kenna KP, van Rheenen W, et al. (2019), Association of NIPA1 repeat expansions with amyotrophic lateral sclerosis in a large international cohort. Neurobiology of Aging 74:234.e9-234.e15.

Haworth S, Shapland CY, Hayward C, Prins BP, Felix JF, Medina-Gomez C, Rivadeneira F, Wang C, et al. (2019), Low-frequency variation in TP53 has large effects on head circumference and intracranial volume. Nature Communications 10:357.

Timmers P, Mounier N, Lall K, Fischer K, Ning Z, Feng X, Bretherick AD, Clark DW, et al. (2019), Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances. eLife 8.

Foo JC, Streit F, Frank J, Witt SH, Treutlein J, Baune BT, Moebus S, Jockel KH, et al. (2019), Evidence for increased genetic risk load for major depression in patients assigned to electroconvulsive therapy. American Journal of Medical Genetics Part B-Neuropsychiatric Genetics 180:35-45.

Pulit SL, Stoneman C, Morris AP, Wood A, Glastonbury CA, Tyrrell J, Yengo L, Ferreira T, et al. (2019), Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry. Human Molecular Genetics 28:166-174.

Barbu MC, Zeng YN, Shen XY, Cox SR, Clarke TK, Gibson J, Adams MJ, Johnstone M, et al. (2019), Association of Whole-Genome and NETRIN1 Signaling Pathway-Derived Polygenic Risk Scores for Major Depressive Disorder and White Matter Microstructure in the UK Biobank. Biological Psychiatry-Cognitive Neuroscience and Neuroimaging 4:91-100.

Yap CX, Sidorenko J, Wu Y, Kemper KE, Yang J, Wray NR, Robinson MR, Visscher PM (2018), Dissection of genetic variation and evidence for pleiotropy in male pattern baldness. Nature Communications 9:5407.

McRae AF, Marioni RE, Shah S, Yang J, Powell JE, Harris SE, Gibson J, Henders AK, et al. (2018), Identification of 55,000 Replicated DNA Methylation QTL. Scientific Reports 8:17605.

Evans LM, Tahmasbi R, Jones M, Vrieze SI, Abecasis GR, Das S, Bjelland DW, de Candia TR, et al. (2018), Narrow-sense heritability estimation of complex traits using identity-by-descent information. Heredity 121:616-630.

Yengo L, Robinson MR, Keller MC, Kemper KE, Yang YH, Trzaskowski M, Gratten J, Turley P, et al. (2018), Imprint of assortative mating on the human genome. Nature Human Behaviour 2:948-954.

Guo J, Yang J, Visscher PM (2018), Leveraging GWAS for complex traits to detect signatures of natural selection in humans. Current Opinion in Genetics & Development 53:9-14.

de Jong S, Diniz MJA, Saloma A, Gadelha A, Santoro ML, Ota VK, Noto C, Curtis C, et al. (2018), Applying polygenic risk scoring for psychiatric disorders to a large family with bipolar disorder and major depressive disorder. Communications Biology 1:163.

Zhu ZH, Zheng ZL, Zhang FT, Wu Y, Trzaskowski M, Maier R, Robinson MR, McGrath JJ, et al. (2018), Causal associations between risk factors and common diseases inferred from GWAS summary data. Nature Communications 9:224.

Guo J, Wu Y, Zhu ZH, Zheng ZL, Trzaskowski M, Zeng J, Robinson MR, Visscher PM, et al. (2018), Global genetic differentiation of complex traits shaped by natural selection in humans. Nature Communications 9:1865.

Yengo L, Sidorenko J, Kemper KE, Zheng ZL, Wood AR, Weedon MN, Frayling TM, Hirschhorn J, et al. (2018), Meta-analysis of genome-wide association studies for height and body mass index in similar to 700 000 individuals of European ancestry. Human Molecular Genetics 27:3641-3649.

Colodro-Conde L, Couvy-Duchesne B, Whitfield JB, Streit F, Gordon S, Kemper KE, Yengo L, Zheng ZL, et al. (2018), Association Between Population Density and Genetic Risk for Schizophrenia. JAMA Psychiatry 75:901-910.

Lee JJ, Wedow R, Okbay A, Kong E, Maghzian O, Zacher M, Nguyen-Viet TA, Bowers P, et al. (2018), Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics 50:1112-1121.

Fung JN, Mortlock S, Girling JE, Holdsworth-Carson SJ, Teh WT, Zhu ZH, Lukowski SW, McKinnon BD, et al. (2018), Genetic regulation of disease risk and endometrial gene expression highlights potential target genes for endometriosis and polycystic ovarian syndrome. Scientific Reports 8:11424.

Xue A, Wu Y, Zhu ZH, Zhang FT, Kemper KE, Zheng ZL, Yengo L, Lloyd-Jones LR, et al. (2018), Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nature Communications 9:2941.

Wray NR, Wijmenga C, Sullivan PF, Yang J, Visscher PM (2018), Common Disease Is More Complex Than Implied by the Core Gene Omnigenic Model. Cell 173:1573-1580.

Qi T, Wu Y, Zeng J, Zhang FT, Xue AL, Jiang LD, Zhu ZH, Kemper K, et al. (2018), Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood. Nature Communications 9:2282.

Marioni RE, Harris SE, Zhang Q, McRae AF, Hagenaars SP, Hill WD, Davies G, Ritchie CW, et al. (2018), GWAS on family history of Alzheimer's disease. Translational Psychiatry 8:99.

Zeng J, de Vlaming R, Wu Y, Robinson MR, Lloyd-Jones LR, Yengo L, Yap CX, Xue AL, et al. (2018), Signatures of negative selection in the genetic architecture of human complex traits. Nature Genetics 50:746-753.

Evans LM, Tahmasbi R, Vrieze SI, Abecasis GR, Das S, Gazal S, Bjelland DW, de Candia TR, et al. (2018), Comparison of methods that use whole genome data to estimate the heritability and genetic architecture of complex traits. Nature Genetics 50:737-745.

Wray NR, Ripke S, Mattheisen M, Trzaskowski M, Byrne EM, Abdellaoui A, Adams MJ, Agerbo E, et al. (2018), Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nature Genetics 50:668-681.

Lloyd-Jones LR, Robinson MR, Yang J, Visscher PM (2018), Transformation of Summary Statistics from Linear Mixed Model Association on All-or-None Traits to Odds Ratio. Genetics 208:1397-1408.

Yengo L, Zhu ZH, Wray NR, Weir BS, Yang J, Robinson MR, Visscher PM (2018), Estimation of inbreeding depression from SNP data REPLY. Proceedings of the National Academy of Sciences of the United States of America 115:E2494-E2495.

Maier RM, Zhu ZH, Lee SH, Trzaskowski M, Ruderfer DM, Stahl EA, Ripke S, Wray NR, et al. (2018), Improving genetic prediction by leveraging genetic correlations among human diseases and traits. Nature Communications 9:989.

Wu Y, Zeng J, Zhang FT, Zhu ZH, Qi T, Zheng ZL, Lloyd-Jones LR, Marioni RE, et al. (2018), Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits. Nature Communications 9:918.

Dudbridge F, Pashayan N, Yang J (2018), Predictive accuracy of combined genetic and environmental risk scores. Genetic Epidemiology 42:4-19.

Laurin C, Cuellar-Partida G, Hemani G, Smith GD, Yang J, Evans DM (2018), Partitioning Phenotypic Variance Due to Parent-of-Origin Effects Using Genomic Relatedness Matrices. Behavior Genetics 48:67-79.

Byrne EM, Yang J, Wray NR (2017), Inference in Psychiatry via 2-SampleMendelian Randomization-From Association to Causal Pathway? JAMA Psychiatry 74:1191-1192.

Benyamin B, He J, Zhao QY, Gratten J, Garton F, Leo PJ, Liu ZJ, Mangelsdorf M, et al. (2017), Cross-ethnic meta-analysis identifies association of the GPX3-TNIP1 locus with amyotrophic lateral sclerosis. Nature Communications 8:611.

Gratten J, Zhao QY, Benyamin B, Garton F, He J, Leo PJ, Mangelsdorf M, Anderson L, et al. (2017), Whole-exome sequencing in amyotrophic lateral sclerosis suggests NEK1 is a risk gene in Chinese. Genome Medicine 9:97.

Yang J, Zeng J, Goddard ME, Wray NR, Visscher PM (2017), Concepts, estimation and interpretation of SNP-based heritability. Nature Genetics 49:1304-1310.

Lukowski SW, Lloyd-Jones LR, Holloway A, Kirsten H, Hemani G, Yang J, Small K, Zhao J, et al. (2017), Genetic correlations reveal the shared genetic architecture of transcription in human peripheral blood. Nature Communications 8:483.

Yengo L, Zhu ZH, Wray NR, Weir BS, Yang J, Robinson MR, Visscher PM (2017), Detection and quantification of inbreeding depression for complex traits from SNP data. Proceedings of the National Academy of Sciences of the United States of America 114:8602-8607.

Zeng BA, Lloyd-Jones LR, Holloway A, Marigorta UM, Metspalu A, Montgomery GW, Esko T, Brigham KL, et al. (2017), Constraints on eQTL Fine Mapping in the Presence of Multisite Local Regulation of Gene Expression. G3 Genes|Genomes|Genetics 7:2532-2544.

Robinson MR, English G, Moser G, Lloyd-Jones LR, Triplett MA, Zhu ZH, Nolte IM, van Vliet-Ostaptchouk JV, et al. (2017), Genotype-covariate interaction effects and the heritability of adult body mass index. Nature Genetics 49:1174-1181.

Visscher PM, Wray NR, Zhang Q, Sklar P, McCarthy MI, Brown MA, Yang J (2017), 10 Years of GWAS Discovery: Biology, Function, and Translation. American Journal of Human Genetics 101:5-22.

Wu Y, Zheng ZL, Visscher PM, Yang J (2017), Quantifying the mapping precision of genome-wide association studies using whole-genome sequencing data. Genome Biology 18:86.

Yang J, Jin ZB, Chen J, Huang XF, Li XM, Liang YB, Mao JY, Chen X, et al. (2017), Genetic signatures of high-altitude adaptation in Tibetans. Proceedings of the National Academy of Sciences of the United States of America 114:4189-4194.

Lloyd-Jones LR, Holloway A, McRae A, Yang J, Small K, Zhao J, Zeng B, Bakshi A, et al. (2017), The Genetic Architecture of Gene Expression in Peripheral Blood. American Journal of Human Genetics 100:228-237.

Robinson MR, Kleinman A, Graff M, Vinkhuyzen AAE, Couper D, Miller MB, Peyrot WJ, Abdellaoui A, et al. (2017), Genetic evidence of assortative mating in humans. Nature Human Behaviour 1:0016.

Chen GB, Lee SH, Robinson MR, Trzaskowski M, Zhu ZX, Winkler TW, Day FR, Croteau-Chonka DC, et al. (2017), Across-cohort QC analyses of GWAS summary statistics from complex traits. European Journal of Human Genetics 25:137-146.

Sapkota Y, Steinthorsdottir V, Morris AP, Fassbender A, Rahmioglu N, De Vivo I, Buring JE, Zhang F, et al. (2017), Meta-analysis identifies five novel loci associated with endometriosis highlighting key genes involved in hormone metabolism. Nature Communications 8:15539.

Kassam I, Lloyd-Jones L, Holloway A, Small KS, Zeng B, Bakshi A, Metspalu A, Gibson G, et al. (2016), Autosomal genetic control of human gene expression does not differ across the sexes. Genome Biology 17:248.

Wang WZ, Li WL, Ding MJ, Yuan HN, Yang J, Meng W, Jin E, Wang XJ, et al. (2016), Identification of miRNAs as non-invasive biomarkers for early diagnosis of lung cancers. Tumor Biology 37:16287-16293.

Marioni RE, Yang J, Dykiert D, Mottus R, Campbell A, Davies G, Hayward C, Porteous DJ, et al. (2016), Assessing the genetic overlap between BMI and cognitive function. Molecular Psychiatry 21:1477-1482.

van der Harst P, van Setten J, Verweij N, Vogler G, Franke L, Maurano MT, Wang XC, Leach IM, et al. (2016), 52 Genetic Loci Influencing Myocardial Mass. Journal of the American College of Cardiology 68:1435-1448.

Bakshi A, Zhu ZH, Vinkhuyzen AAE, Hill WD, McRae AF, Visscher PM, Yang J (2016), Fast set-based association analysis using summary data from GWAS identifies novel gene loci for human complex traits. Scientific Reports 6:32894.

van Rheenen W, Shatunov A, Dekker AM, McLaughlin RL, Diekstra FP, Pulit SL, van der Spek RAA, Vosa U, et al. (2016), Genome-wide association analyses identify new risk variants and the genetic architecture of amyotrophic lateral sclerosis. Nature Genetics 48:1043-1048.

Yang J, Lee SH, Wray NR, Goddard ME, Visscher PM (2016), GCTA-GREML accounts for linkage disequilibrium when estimating genetic variance from genome-wide SNPs. Proceedings of the National Academy of Sciences of the United States of America 113:E4579-E4580.

Pavlides JMW, Zhu ZH, Gratten J, McRae AF, Wray NR, Yang J (2016), Predicting gene targets from integrative analyses of summary data from GWAS and eQTL studies for 28 human complex traits. Genome Medicine 8:84.

Visscher PM, Yang J (2016), A plethora of pleiotropy across complex traits. Nature Genetics 48:707-708.

Okbay A, Baselmans BML, De Neve JE, Turley P, Nivard MG, Fontana MA, Meddens SFW, Linner RK, et al. (2016), Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nature Genetics 48:624-633.

Zhu ZH, Zhang FT, Hu H, Bakshi A, Robinson MR, Powell JE, Montgomery GW, Goddard ME, et al. (2016), Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets. Nature Genetics 48:481-487.

Okbay A, Beauchamp JP, Fontana MA, Lee JJ, Pers TH, Rietveld CA, Turley P, Chen GB, et al. (2016), Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533:539-542.

Mehta D, Tropf FC, Gratten J, Bakshi A, Zhu ZH, Bacanu SA, Hemani G, Magnusson PKE, et al. (2016), Evidence for Genetic Overlap Between Schizophrenia and Age at First Birth in Women. JAMA Psychiatry 73:497-505.

Lu YC, Day FR, Gustafsson S, Buchkovich ML, Na JB, Bataille V, Cousminer DL, Dastani Z, et al. (2016), New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk. Nature Communications 7:10495.

Yang J, Bakshi A, Zhu Z, Hemani G, Vinkhuyzen AAE, Nolte IM, van Vliet-Ostaptchouk JV, Snieder H, et al. (2015), Genome-wide genetic homogeneity between sexes and populations for human height and body mass index. Human Molecular Genetics 24:7445-7449.

Robinson MR, Hemani G, Medina-Gomez C, Mezzavilla M, Esko T, Shakhbazov K, Powell JE, Vinkhuyzen A, et al. (2015), Population genetic differentiation of height and body mass index across Europe. Nature Genetics 47:1357-1362.

Peters MJ, Joehanes R, Pilling LC, Schurmann C, Conneely KN, Powell J, Reinmaa E, Sutphin GL, et al. (2015), The transcriptional landscape of age in human peripheral blood. Nature Communications 6:8570.

Yang J, Bakshi A, Zhu Z, Hemani G, Vinkhuyzen AAE, Lee SH, Robinson MR, Perry JRB, et al. (2015), Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index. Nature Genetics 47:1114-1120.

Walter K, Min JL, Huang J, Crooks L, Memari Y, McCarthy S, Perry JRB, Xu C, et al. (2015), The UK10K project identifies rare variants in health and disease. Nature 526:82-90.

Winkler TW, Justice AE, Graff M, Barata L, Feitosa MF, Chu S, Czajkowski J, Esko T, et al. (2015), The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study. Plos Genetics 11.

Vilhjalmsson BJ, Yang J, Finucane HK, Gusev A, Lindstrom S, Ripke S, Genovese G, Loh PR, et al. (2015), Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores. American Journal of Human Genetics 97:576-592.

Shah S, Bonder MJ, Marioni RE, Zhu ZH, McRae AF, Zhernakova A, Harris SE, Liewald D, et al. (2015), Improving Phenotypic Prediction by Combining Genetic and Epigenetic Associations. American Journal of Human Genetics 97:75-85.

Tropf FC, Stulp G, Barban N, Visscher PM, Yang J, Snieder H, Mills MC (2015), Human Fertility, Molecular Genetics, and Natural Selection in Modern Societies. Plos One 10.

Hayeck TJ, Zaitlen NA, Loh PR, Vilhjalmsson B, Pollack S, Gusev A, Yang J, Chen GB, et al. (2015), Mixed Model with Correction for Case-Control Ascertainment Increases Association Power. American Journal of Human Genetics 96:720-730.

Thrift AP, Gong J, Peters U, Chang-Claude J, Rudolph A, Slattery ML, Chan AT, Esko T, et al. (2015), Mendelian randomization study of height and risk of colorectal cancer. International Journal of Epidemiology 44:662-672.

Zhu ZH, Bakshi A, Vinkhuyzen AAE, Hemani G, Lee SH, Nolte IM, van Vliet-Ostaptchouk JV, Snieder H, et al. (2015), Dominance Genetic Variation Contributes Little to the Missing Heritability for Human Complex Traits. American Journal of Human Genetics 96:377-385.

Bulik-Sullivan BK, Loh PR, Finucane HK, Ripke S, Yang J, Patterson N, Daly MJ, Price AL, et al. (2015), LD Score regression distinguishes confounding from polygenicity in genome-wide association studies. Nature Genetics 47:291-295.

Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, Felix R, Powell C, Vedantam S, et al. (2015), Genetic studies of body mass index yield new insights for obesity biology. Nature 518:197-206.

Shungin D, Winkler TW, Croteau-Chonka DC, Ferreira T, Lockes AE, Magi R, Strawbridge RJ, Pers TH, et al. (2015), New genetic loci link adipose and insulin biology to body fat distribution. Nature 518:187-196.

Pers TH, Karjalainen JM, Chan Y, Westra HJ, Wood AR, Yang J, Lui JC, Vedantam S, et al. (2015), Biological interpretation of genome-wide association studies using predicted gene functions. Nature Communications 6:5890.

Robinson EB, Kirby A, Ruparel K, Yang J, McGrath L, Anttila V, Neale BM, Merikangas K, et al. (2015), The genetic architecture of pediatric cognitive abilities in the Philadelphia Neurodevelopmental Cohort. Molecular Psychiatry 20:454-458.

Wood AR, Esko T, Yang J, Vedantam S, Pers TH, Gustafsson S, Chun AY, Estrada K, et al. (2014), Defining the role of common variation in the genomic and biological architecture of adult human height. Nature Genetics 46:1173-1186.

Rietveld CA, Conley D, Eriksson N, Esko T, Medland SE, Vinkhuyzen AAE, Yang J, Boardman JD, et al. (2014), Replicability and robustness of genome-wide-association studies for behavioral traits. Psychological science 25:1975-1986.

Hemani G, Shakhbazov K, Westra HJ, Esko T, Henders AK, McRae AF, Yang J, Gibson G, et al. (2014), Another explanation for apparent epistasis Reply. Nature 514:E5-E6.

Tada H, Won HH, Melander O, Yang J, Peloso GM, Kathiresan S (2014), Multiple Associated Variants Increase the Heritability Explained for Plasma Lipids and Coronary Artery Disease. Circulation-Cardiovascular Genetics 7:583-587.

Robinson EB, Howrigan D, Yang J, Ripke S, Anttila V, Duncan LE, Jostins L, Barrett JC, et al. (2014), Response to 'Predicting the diagnosis of autism spectrum disorder using gene pathway analysis'. Molecular Psychiatry 19:859-861.

Jiang L, Yin J, Ye LY, Yang J, Hemani G, Liu AJ, Zou HJ, He DY, et al. (2014), Novel Risk Loci for Rheumatoid Arthritis in Han Chinese and Congruence With Risk Variants in Europeans. Arthritis & Rheumatology 66:1121-1132.

Visscher PM, Hemani G, Vinkhuyzen AAE, Chen GB, Lee SH, Wray NR, Goddard ME, Yang J (2014), Statistical Power to Detect Genetic (Co)Variance of Complex Traits Using SNP Data in Unrelated Samples. Plos Genetics 10.

Trzaskowski M, Yang J, Visscher PM, Plomin R (2014), DNA evidence for strong genetic stability and increasing heritability of intelligence from age 7 to 12. Molecular Psychiatry 19:380-384.

Okada Y, Wu D, Trynka G, Raj T, Terao C, Ikari K, Kochi Y, Ohmura K, et al. (2014), Genetics of rheumatoid arthritis contributes to biology and drug discovery. Nature 506:376-381.

Benyamin B, St Pourcain B, Davis OS, Davies G, Hansell NK, Brion MJA, Kirkpatrick RM, Cents RAM, et al. (2014), Childhood intelligence is heritable, highly polygenic and associated with FNBP1L. Molecular Psychiatry 19:253-258.

Yang J, Zaitlen NA, Goddard ME, Visscher PM, Price AL (2014), Advantages and pitfalls in the application of mixed-model association methods. Nature Genetics 46:100-106.

Zhou KX, Donnelly L, Yang J, Li MX, Deshmukh H, Van Zuydam N, Ahlqvist E, Spencer CC, et al. (2014), Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis. Lancet Diabetes & Endocrinology 2:481-487.

Wray NR, Yang J, Hayes BJ, Price AL, Goddard ME, Visscher PM (2013), Author reply to A commentary on Pitfalls of predicting complex traits from SNPs. Nature Reviews Genetics 14:894.

Vinkhuyzen AAE, Wray NR, Yang J, Goddard ME, Visscher PM (2013), Estimation and Partition of Heritability in Human Populations Using Whole-Genome Analysis Methods. Annual Review of Genetics 47:75-95.

Hemani G, Yang J, Vinkhuyzen A, Powell JE, Willemsen G, Hottenga JJ, Abdellaoui A, Mangino M, et al. (2013), Inference of the Genetic Architecture Underlying BMI and Height with the Use of 20,240 Sibling Pairs. American Journal of Human Genetics 93:865-875.

Davis LK, Yu DM, Keenan CL, Gamazon ER, Konkashbaev AI, Derks EM, Neale BM, Yang J, et al. (2013), Partitioning the Heritability of Tourette Syndrome and Obsessive Compulsive Disorder Reveals Differences in Genetic Architecture. Plos Genetics 9.

de Candia TR, Lee SH, Yang J, Browning BL, Gejman PV, Levinson DF, Mowry BJ, Hewitt JK, et al. (2013), Additive Genetic Variation in Schizophrenia Risk Is Shared by Populations of African and European Descent. American Journal of Human Genetics 93:463-470.

Wray NR, Yang J, Hayes BJ, Price AL, Goddard ME, Visscher PM (2013), Pitfalls of predicting complex traits from SNPs. Nature Reviews Genetics 14:507-515.

Trzaskowski M, Davis OSP, DeFries JC, Yang J, Visscher PM, Plomin R (2013), DNA Evidence for Strong Genome-Wide Pleiotropy of Cognitive and Learning Abilities. Behavior Genetics 43:267-273.

Cortes A, Hadler J, Pointon JP, Robinson PC, Karaderi T, Leo P, Cremin K, Pryce K, et al. (2013), Identification of multiple risk variants for ankylosing spondylitis through high-density genotyping of immune-related loci. Nature Genetics 45:730-738.

Rietveld CA, Medland SE, Derringer J, Yang J, Esko T, Martin NW, Westra HJ, Shakhbazov K, et al. (2013), GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment. Science 340:1467-1471.

Randall JC, Winkler TW, Kutalik Z, Berndt SI, Jackson AU, Monda KL, Kilpelainen TO, Esko T, et al. (2013), Sex-stratified Genome-wide Association Studies Including 270,000 Individuals Show Sexual Dimorphism in Genetic Loci for Anthropometric Traits. Plos Genetics 9.

den Hoed M, Eijgelsheim M, Esko T, Brundel B, Peal DS, Evans DM, Nolte IM, Segre AV, et al. (2013), Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders. Nature Genetics 45:621-631.

Murad NAA, Cullen JK, McKenzie M, Ryan MT, Thorburn D, Gueven N, Kobayashi J, Birrell G, et al. (2013), Mitochondrial dysfunction in a novel form of autosomal recessive ataxia. Mitochondrion 13:235-245.

Berndt SI, Gustafsson S, Magi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, et al. (2013), Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics 45:501-512.

Yang J, Lee T, Kim J, Cho MC, Han BG, Lee JY, Lee HJ, Cho S, et al. (2013), Ubiquitous Polygenicity of Human Complex Traits: Genome-Wide Analysis of 49 Traits in Koreans. Plos Genetics 9.

Lu Y, Vitart V, Burdon KP, Khor CC, Bykhovskaya Y, Mirshahi A, Hewitt AW, Koehn D, et al. (2013), Genome-wide association analyses identify multiple loci associated with central corneal thickness and keratoconus. Nature Genetics 45:155-163.

van der Harst P, Zhang WH, Leach IM, Rendon A, Verweij N, Sehmi J, Paul DS, Elling U, et al. (2012), Seventy-five genetic loci influencing the human red blood cell. Nature 492:369-375.

Yang J, Loos RJF, Powell JE, Medland SE, Speliotes EK, Chasman DI, Rose LM, Thorleifsson G, et al. (2012), FTO genotype is associated with phenotypic variability of body mass index. Nature 490:267-272.

Lee SH, Yang J, Goddard ME, Visscher PM, Wray NR (2012), Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood. Bioinformatics 28:2540-2542.

Verweij KJH, Yang J, Lahti J, Veijola J, Hintsanen M, Pulkki-Raback L, Heinonen K, Pouta A, et al. (2012), MAINTENANCE OF GENETIC VARIATION IN HUMAN PERSONALITY: TESTING EVOLUTIONARY MODELS BY ESTIMATING HERITABILITY DUE TO COMMON CAUSAL VARIANTS AND INVESTIGATING THE EFFECT OF DISTANT INBREEDING. Evolution 66:3238-3251.

McQuillan R, Eklund N, Pirastu N, Kuningas M, McEvoy BP, Esko T, Corre T, Davies G, et al. (2012), Evidence of Inbreeding Depression on Human Height. Plos Genetics 8.

Vinkhuyzen AAE, Pedersen NL, Yang J, Lee SH, Magnusson PKE, Iacono WG, McGue M, Madden PAF, et al. (2012), Common SNPs explain some of the variation in the personality dimensions of neuroticism and extraversion. Translational Psychiatry 2:e102.

Yang J, Ferreira T, Morris AP, Medland SE, Madden PAF, Heath AC, Martin NG, Montgomery GW, et al. (2012), Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits. Nature Genetics 44:369-375.

Lee SH, DeCandia TR, Ripke S, Yang J, Sullivan PF, Goddard ME, Keller MC, Visscher PM, et al. (2012), Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs. Nature Genetics 44:247-250.

Deary IJ, Yang J, Davies G, Harris SE, Tenesa A, Liewald D, Luciano M, Lopez LM, et al. (2012), Genetic contributions to stability and change in intelligence from childhood to old age. Nature 482:212-215.

Visscher PM, Brown MA, McCarthy MI, Yang J (2012), Five Years of GWAS Discovery. American Journal of Human Genetics 90:7-24.

Davies G, Tenesa A, Payton A, Yang J, Harris SE, Liewald D, Ke X, Le Hellard S, et al. (2011), Genome-wide association studies establish that human intelligence is highly heritable and polygenic. Molecular Psychiatry 16:996-1005.

Goddard ME, Lee H, Yang J, Wray NR, Visscher PM (2011), Population Structure Can Inflate SNP-Based Heritability Estimates Response. American Journal of Human Genetics 89:193-195.

Yang J, Weedon MN, Purcell S, Lettre G, Estrada K, Willer CJ, Smith AV, Ingelsson E, et al. (2011), Genomic inflation factors under polygenic inheritance. European Journal of Human Genetics 19:807-812.

Yang J, Manolio TA, Pasquale LR, Boerwinkle E, Caporaso N, Cunningham JM, de Andrade M, Feenstra B, et al. (2011), Genome partitioning of genetic variation for complex traits using common SNPs. Nature Genetics 43:519-525.

Yang J, Lee SH, Goddard ME, Visscher PM (2011), GCTA: A Tool for Genome-wide Complex Trait Analysis. American Journal of Human Genetics 88:76-82.

Visscher PM, McEvoy B, Yang J (2010), From Galton to GWAS: quantitative genetics of human height. Genetics Research 92:371-379.

Visscher PM, Yang J, Goddard ME (2010), A Commentary on 'Common SNPs Explain a Large Proportion of the Heritability for Human Height' by Yang et al. (2010). Twin Research and Human Genetics 13:517-524.

Heid IM, Jackson AU, Randall JC, Winkler TW, Qi L, Steinthorsdottir V, Thorleifsson G, Zillikens MC, et al. (2010), Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nature Genetics 42:949-960.

Speliotes EK, Willer CJ, Berndt SI, Monda KL, Thorleifsson G, Jackson AU, Allen HL, Lindgren CM, et al. (2010), Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nature Genetics 42:937-948.

Allen HL, Estrada K, Lettre G, Berndt SI, Weedon MN, Rivadeneira F, Willer CJ, Jackson AU, et al. (2010), Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467:832-838.

Yang J, Visscher PM, Wray NR (2010), Sporadic cases are the norm for complex disease. European Journal of Human Genetics 18:1039-1043.

Yang J, Benyamin B, McEvoy BP, Gordon S, Henders AK, Nyholt DR, Madden PA, Heath AC, et al. (2010), Common SNPs explain a large proportion of the heritability for human height. Nature Genetics 42:565-569.

Zheng WJ, Yang J, Zhu J (2010), QTLNetworkR: an interactive R package for QTL visualization. Journal of Zhejiang University-Science B 11:512-515.

Yang J, Wray NR, Visscher PM (2010), Comparing Apples and Oranges: Equating the Power of Case-Control and Quantitative Trait Association Studies. Genetic Epidemiology 34:254-257.

Wray NR, Yang J, Goddard ME, Visscher PM (2010), The Genetic Interpretation of Area under the ROC Curve in Genomic Profiling. Plos Genetics 6.

Yang J, Zou YY, Zhu J (2009), Identifying differentially expressed genes in human acute leukemia and mouse brain microarray datasets utilizing QTModel. Functional & Integrative Genomics 9:59-66.

Zou YY, Su ZX, Yang J, Zeng YW, Gu X (2009), Uncovering Genetic Regulatory Network Divergence Between Duplicate Genes Using Yeast eQTL Landscape. Journal of Experimental Zoology Part B-Molecular and Developmental Evolution 312B:722-733.

Yang J, Wu W, Zhu J (2008), Mapping interspecific genetic architecture in a host-parasite interaction system. Genetics 178:1737-1743.

Yang J, Hu CC, Hu H, Yu RD, Xia Z, Ye XZ, Zhu J (2008), QTLNetwork: mapping and visualizing genetic architecture of complex traits in experimental populations. Bioinformatics 24:721-723.

Liu GF, Yang J, Xu HM, Hayat Y, Zhu J (2008), Genetic analysis of grain yield conditioned on its component traits in rice (Oryza sativa L.). Australian Journal of Agricultural Research 59:189-195.

Hayat Y, Yang J, Xu HM, Zhu J (2008), Influence of outliers on QTL mapping for complex traits. Journal of Zhejiang University-Science B 9:931-937.

Yang J, Zhu J, Williams RW (2007), Mapping the genetic architecture of complex traits in experimental populations. Bioinformatics 23:1527-1536.

Hu CC, Ye XZ, Zhang Y, Yu RD, Yang J, Zhu J (2007), 3D graphical visualization of the genetic architectures underlying complex traits in multiple environments. Journal of Zhejiang University-Science A 8:563-567.

Yang J, Zhu J (2005), Methods for predicting superior genotypes under multiple environments based on QTL effects. Theoretical and Applied Genetics 110:1268-1274.