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Access through your institution Buy or subscribe Common genetic variants have been shown to contribute to highly heritable traits such as human height. Yengo et al. performed a large

genome-wide association analysis of human height in approximately 5.4 million individuals of diverse ancestries from 281 studies. The discovery sample consisted of five groups of cohorts

with predominantly European (75.8%), East Asian (8.8%), Hispanic (8.5%), African (5.5%) and South Asian (1.4%) ancestries or populations. They identified 12,111 independent single-nucleotide

polymorphisms (SNPs) that account for nearly all of the common SNP-based heritability of height. These height-associated SNPs were grouped into 7,209 non-overlapping genomic segments that

cover around 21% of the genome, with high density of SNPs enriched for biologically relevant genes. Quantifying the accuracy of polygenic scores for height within families and across

ancestries confirmed that the improvement in accuracy resulted from increased genetic diversity in study samples. Collectively, the study presents a valuable set of common genetic variants

associated with human height. Although it reaches the limits for prediction accuracy in populations of European ancestry, it provides an important step towards broader extension to larger

populations of under-represented ancestries for global diversity. ORIGINAL REFERENCE: _Nature_ 610, 704–712 (2022) This is a preview of subscription content, access via your institution

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FAQs * Contact customer support AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Nature Genetics https://www.nature.com/ng Wei Li Authors * Wei Li View author publications You can also search

for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to Wei Li. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Li, W. Human

height-associated variants. _Nat Genet_ 54, 1764 (2022). https://doi.org/10.1038/s41588-022-01263-0 Download citation * Published: 05 December 2022 * Issue Date: December 2022 * DOI:

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