Whole genome sequencing and imputation in isolated populations identify genetic associations with medically-relevant complex traits

Autor: George Dedoussis, Eleftheria Zeggini, Arthur Gilly, Jeremy Schwartzentruber, Emmanouil Tsafantakis, Ioanna Tachmazidou, Aliki-Eleni Farmaki, Lorraine Southam, Maria Karaleftheri, Yali Xue, Nigel W. Rayner, Angela Matchan, Daniel Suveges
Rok vydání: 2017
Předmět:
Zdroj: Nature Communications, Vol 8, Iss 1, Pp 1-11 (2017)
Nature Communications
ISSN: 2041-1723
DOI: 10.1038/ncomms15606
Popis: Next-generation association studies can be empowered by sequence-based imputation and by studying founder populations. Here we report ∼9.5 million variants from whole-genome sequencing (WGS) of a Cretan-isolated population, and show enrichment of rare and low-frequency variants with predicted functional consequences. We use a WGS-based imputation approach utilizing 10,422 reference haplotypes to perform genome-wide association analyses and observe 17 genome-wide significant, independent signals, including replicating evidence for association at eight novel low-frequency variant signals. Two novel cardiometabolic associations are at lead variants unique to the founder population sequences: chr16:70790626 (high-density lipoprotein levels beta −1.71 (SE 0.25), P=1.57 × 10−11, effect allele frequency (EAF) 0.006); and rs145556679 (triglycerides levels beta −1.13 (SE 0.17), P=2.53 × 10−11, EAF 0.013). Our findings add empirical support to the contribution of low-frequency variants in complex traits, demonstrate the advantage of including population-specific sequences in imputation panels and exemplify the power gains afforded by population isolates.
Isolated populations can provide useful information on low-frequency variants for dissecting genetic architecture of complex traits. Here, Zeggini and colleagues show enrichment of rare and low-frequency variants and 8 novel low-frequency variant signals for cardiometabolic traits in two Greek isolated populations
Databáze: OpenAIRE