Journal article

Quantifying genetic heterogeneity between continental populations for human height and body mass index

Jing Guo, Andrew Bakshi, Ying Wang, Longda Jiang, Loic Yengo, Michael E Goddard, Peter M Visscher, Jian Yang



Genome-wide association studies (GWAS) in samples of European ancestry have identified thousands of genetic variants associated with complex traits in humans. However, it remains largely unclear whether these associations can be used in non-European populations. Here, we seek to quantify the proportion of genetic variation for a complex trait shared between continental populations. We estimated the between-population correlation of genetic effects at all SNPs ([Formula: see text]) or genome-wide significant SNPs ([Formula: see text]) for height and body mass index (BMI) in samples of European (EUR; [Formula: see text]) and African (AFR; [Formula: see text]) ancestry. The [Formula: see text] ..

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University of Melbourne Researchers


Awarded by Australian National Health and Medical Research Council

Awarded by Australian Research Council

Funding Acknowledgements

This research was supported by the Australian National Health and Medical Research Council (1078037 and 1113400), the Australian Research Council (FT180100186 and FL180100072), the Sylvia & Charles Viertel Charitable Foundation (Senior Medical Research Fellowship), and the Westlake Education Foundation. This study uses AFR data from the database of Genotypes and Phenotypes (dbGaP) (accession numbers: phs000386 for AFR-WHI; AFR-CARe including phs000557.v4.p1, phs000286.v5.p1, phs000613.v1.p2, phs000284.v2.p1, phs000283. v7.p3 for ARIC, JHS, CARDIA, CFS and MESA) and EUR data from the UKB consortium.