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基于虚假发现率的关联分析提示了冠状动脉疾病的新易感位点。

Association analyses based on false discovery rate implicate new loci for coronary artery disease.

机构信息

Department of Cardiovascular Sciences, University of Leicester, Leicester, UK.

National Institute for Health Research Leicester Biomedical Research Centre, Leicester, UK.

出版信息

Nat Genet. 2017 Sep;49(9):1385-1391. doi: 10.1038/ng.3913. Epub 2017 Jul 17.

Abstract

Genome-wide association studies (GWAS) in coronary artery disease (CAD) had identified 66 loci at 'genome-wide significance' (P < 5 × 10) at the time of this analysis, but a much larger number of putative loci at a false discovery rate (FDR) of 5% (refs. 1,2,3,4). Here we leverage an interim release of UK Biobank (UKBB) data to evaluate the validity of the FDR approach. We tested a CAD phenotype inclusive of angina (SOFT; n = 10,801) as well as a stricter definition without angina (HARD; n = 6,482) and selected cases with the former phenotype to conduct a meta-analysis using the two most recent CAD GWAS. This approach identified 13 new loci at genome-wide significance, 12 of which were on our previous list of loci meeting the 5% FDR threshold, thus providing strong support that the remaining loci identified by FDR represent genuine signals. The 304 independent variants associated at 5% FDR in this study explain 21.2% of CAD heritability and identify 243 loci that implicate pathways in blood vessel morphogenesis as well as lipid metabolism, nitric oxide signaling and inflammation.

摘要

全基因组关联研究(GWAS)已在冠心病(CAD)中鉴定出 66 个在该分析时达到“全基因组显著水平”(P<5×10)的位点,但在假发现率(FDR)为 5%时有更多的假定位点。在此,我们利用英国生物库(UKBB)数据的临时版本来评估 FDR 方法的有效性。我们测试了包含心绞痛的 CAD 表型(SOFT;n=10801)以及没有心绞痛的更严格定义(HARD;n=6482),并选择前者表型的病例,使用最近的两项 CAD GWAS 进行荟萃分析。这种方法在全基因组显著水平上确定了 13 个新的位点,其中 12 个位于我们之前达到 5% FDR 阈值的 12 个位点列表中,从而有力地支持了 FDR 确定的其余位点代表真实信号。本研究中在 5% FDR 水平上独立相关的 304 个变体解释了 CAD 遗传率的 21.2%,并确定了 243 个与血管形态发生以及脂质代谢、一氧化氮信号和炎症途径相关的位点。

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