The American Journal of Human GeneticsGenomicsPeer-reviewed journal article
Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries
Samuel Pattillo SmithiD, Sahar ShahamatdariD, Wei ChengiD, Selena ZhangiD, Joseph Paik, Mariaelisa GraffiD, Christopher A. HaimaniD, Tara Cox MatiseiD, Kari E. NorthiD, Ulrike PetersiD, Eimear E. KennyiD, Christopher R. GignouxiD, Genevieve L. WojcikiD, Lorin A. CrawfordiD, Sohini RamachandraniD
Abstract
Since 2005, genome-wide association (GWA) datasets have been largely biased toward sampling European ancestry individuals, and recent studies have shown that GWA results estimated from self-identified European individuals are not transferable to non-European individuals due to various confounding challenges. Here, we demonstrate that enrichment analyses which aggregate SNP-level association statistics at multiple genomic scales--from genes to genomic regions and pathways--have been underutilized in the GWA era and can generate biologically interpretable hypotheses regarding the genetic basis of complex trait architecture. We illustrate examples of the robust associations generated by enrichment analyses while studying 25 continuous traits assayed in 566,786 individuals from seven diverse self-identified human ancestries in the UK Biobank and the Biobank Japan, as well as 44,348 admixed individuals from the PAGE consortium including cohorts of African-American, Hispanic and Latin American, Native Hawaiian, and American Indian/Alaska Native individuals. We identify 1,000 gene-level associations that are genome-wide significant in at least two ancestry cohorts across these 25 traits, as well as highly conserved pathway associations with triglyceride levels in European, East Asian, and Native Hawaiian cohorts.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 19
- FWCI
- 3.62
- Field percentile
- top 6%
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