TY - JOUR T1 - Quantifying genetic heterogeneity between continental populations for human height and body mass index JF - bioRxiv DO - 10.1101/839373 SP - 839373 AU - Jing Guo AU - Andrew Bakshi AU - Ying Wang AU - Longda Jiang AU - Loic Yengo AU - Michael E Goddard AU - Peter M Visscher AU - Jian Yang Y1 - 2019/01/01 UR - http://biorxiv.org/content/early/2019/11/14/839373.abstract N2 - 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 (rg) or genome-wide significant SNPs (rg(GWS)) for height and body mass index (BMI) in samples of European (EUR; n = 49,839) and African (AFR; n = 17,426) ancestry. The between EUR and AFR was 0.75 (s. e. = 0.035) for height and 0.68 (s. e. = 0.062) for BMI, and the corresponding was 0.82 (s. e. = 0.030) for height and 0.87 (s. e. = 0.064) for BMI, suggesting that a large proportion of GWAS findings discovered in Europeans are likely applicable to non-Europeans for height and BMI. There was no evidence that differs in SNP groups with different levels of between-population difference in allele frequency or linkage disequilibrium, which, however, can be due to the lack of power. ER -