Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Cell. 2022 Nov 10;185(23):4256-4258. doi: 10.1016/j.cell.2022.10.010. Epub 2022 Oct 25.
Genome-wide association studies (GWASs) can require immense sample sizes to identify variants associated with human health across the frequency spectrum. As the Global Biobank Meta-analysis Initiative (GBMI), Zhou et al. describe a collaborative network across 23 biobanks and 2.2 million participants to address challenges of underrepresentation of diversity in genomic research.
全基因组关联研究（GWAS）可能需要巨大的样本量才能在整个频率范围内识别与人类健康相关的变异。正如全球生物银行荟萃分析倡议（GBMI）所描述的，Zhou 等人描述了一个跨越 23 个生物库和 220 万参与者的合作网络，以解决基因组研究中代表性不足的多样性挑战。
