| Literature DB >> 21983786 |
Patrick Sulem1, Daniel F Gudbjartsson, G Bragi Walters, Hafdis T Helgadottir, Agnar Helgason, Sigurjon A Gudjonsson, Carlo Zanon, Soren Besenbacher, Gyda Bjornsdottir, Olafur T Magnusson, Gisli Magnusson, Eirikur Hjartarson, Jona Saemundsdottir, Arnaldur Gylfason, Adalbjorg Jonasdottir, Hilma Holm, Ari Karason, Thorunn Rafnar, Hreinn Stefansson, Ole A Andreassen, Jesper H Pedersen, Allan I Pack, Marieke C H de Visser, Lambertus A Kiemeney, Arni J Geirsson, Gudmundur I Eyjolfsson, Isleifur Olafsson, Augustine Kong, Gisli Masson, Helgi Jonsson, Unnur Thorsteinsdottir, Ingileif Jonsdottir, Kari Stefansson.
Abstract
We tested 16 million SNPs, identified through whole-genome sequencing of 457 Icelanders, for association with gout and serum uric acid levels. Genotypes were imputed into 41,675 chip-genotyped Icelanders and their relatives, for effective sample sizes of 968 individuals with gout and 15,506 individuals for whom serum uric acid measurements were available. We identified a low-frequency missense variant (c.1580C>G) in ALDH16A1 associated with gout (OR = 3.12, P = 1.5 × 10(-16), at-risk allele frequency = 0.019) and serum uric acid levels (effect = 0.36 s.d., P = 4.5 × 10(-21)). We confirmed the association with gout by performing Sanger sequencing on 6,017 Icelanders. The association with gout was stronger in males relative to females. We also found a second variant on chromosome 1 associated with gout (OR = 1.92, P = 0.046, at-risk allele frequency = 0.986) and serum uric acid levels (effect = 0.48 s.d., P = 4.5 × 10(-16)). This variant is close to a common variant previously associated with serum uric acid levels. This work illustrates how whole-genome sequencing data allow the detection of associations between low-frequency variants and complex traits.Entities:
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Year: 2011 PMID: 21983786 DOI: 10.1038/ng.972
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 38.330