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Y.; O’Donnell, Christopher J.; Rivadeneira, Fernando; Thorsteinsdottir, Unnur; Sun, Yan V.; Tai, E. Shyong; Boehnke, Michael; Deloukas, Panos; Justice, Anne E.; Lindgren, Cecilia M.; Loos, Ruth J. F.; Mohlke, Karen L.; North, Kari E.; Stefansson, Kari; Walters, Robin G.; Winkler, Thomas W.; Young, Kristin L.; Loh, Po-Ru; Yang, Jian; Esko, Tõnu; Assimes, Themistocles L.; Auton, Adam; Abecasis, Goncalo R.; Willer, Cristen J.; Locke, Adam E.; Berndt, Sonja I.; Lettre, Guillaume; Frayling, Timothy M.; Okada, Yukinori; Wood, Andrew R.; Hirschhorn, Joel N. (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-10-12)
Common single-nucleotide polymorphisms (SNPs) are predicted to collectively
explain 40–50% of phenotypic variation in human height, but identifying the specifc
variants and associated regions requires huge sample sizes1
. Here, using data from a
genome-wide association study of 5.4 million individuals of diverse ancestries, we
show that 12,111 independent SNPs that are signifcantly associated ...
English
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