A saturated map of common genetic variants associated with human height
The University of Queensland · Broad Institute · +341 more institutions
Abstract
Abstract Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40–50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes 1 . 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 significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the regions of increased…
Citation impact
- FWCI
- 150.62
- Percentile
- 100%
- References
- 80
Authors
632- LYLoïc YengoCorresponding
The University of Queensland
- SVSailaja Vedantam
Broad Institute, Boston Children's Hospital
- EMEirini Marouli
Queen Mary University of London, William Harvey Research Institute
- JSJulia Sidorenko
The University of Queensland
- EBEric Bartell
Broad Institute, Boston Children's Hospital, Harvard University
Topics & keywords
- Genetics
- Biology
- Evolutionary biology
Funding
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