Mapping gene and gene pathways associated with coronary artery disease: a CARDIoGRAM exome and multi-ancestry UK biobank analysis.

Mapping gene and gene pathways associated with coronary artery disease: a CARDIoGRAM exome and multi-ancestry UK biobank analysis.
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DOI:
10.1038/s41598-021-95637-9
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发表时间:
2021-08-12
期刊:
影响因子:
4.6
通讯作者:
Dupuis J
Dupuis J
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Hariharan P;Dupuis J

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冠状动脉疾病 (CAD) 全基因组关联研究通常集中于单核苷酸变异 (SNV),许多潜在相关的 SNV 未能达到 GWAS 显着性阈值。我们使用通用基因关联研究 (VEGAS2) 和基因组注释多标记分析 (MAGMA) 对公开的冠状动脉疾病全基因组复制和荟萃分析联盟外显子组 (n = 120,575) 和多祖先泛英国生物库研究 (n = 442,574) 摘要数据进行基因和基于通路的关联 (GBA) 测试,以识别新的与 CAD 相关的基因和通路。我们仅包含外显子 SNV,并排除了监管区域。 VEGAS2 和 MAGMA 根据汇总的 SNV 测试统计数据对基因和通路进行排名。我们使用 Bonferroni 校正的基因和通路显着性阈值分别为 3.0 × 10–6 和 1.0 × 10–5。我们还报告排名前百分之一的基因和通路。我们在两项 GWAS 研究中使用 GBA 测试鉴定了 17 个最富集的基因,其中有 4 个基因(PCSK9、FAM177、LPL、ARGEF26),达到统计显着性(p≤≤3.0×10-6)。此外,我们的分析还发现了 10 个基因(DUSP13、KCNJ11、CD300LF/RAB37、SLCO1B1、LRRFIP1、QSER1、UBR2、MOB3C、MST1R 和 ABCC8)与 CAD 之间的关联,这些关联此前未曾报道过,但这些基因内的单一 SNV 关联均不具有全基因组显着性。在前 1% 的非脂质途径中,我们检测到了调节凝血、炎症、神经元衰老和伤口愈合的途径。
Coronary artery disease (CAD) genome-wide association studies typically focus on single nucleotide variants (SNVs), and many potentially associated SNVs fail to reach the GWAS significance threshold. We performed gene and pathway-based association (GBA) tests on publicly available Coronary ARtery DIsease Genome wide Replication and Meta-analysis consortium Exome (n = 120,575) and multi ancestry pan UK Biobank study (n = 442,574) summary data using versatile gene-based association study (VEGAS2) and Multi-marker analysis of genomic annotation (MAGMA) to identify novel genes and pathways associated with CAD. We included only exonic SNVs and excluded regulatory regions. VEGAS2 and MAGMA ranked genes and pathways based on aggregated SNV test statistics. We used Bonferroni corrected gene and pathway significance threshold at 3.0 × 10–6 and 1.0 × 10–5, respectively. We also report the top one percent of ranked genes and pathways. We identified 17 top enriched genes with four genes (PCSK9, FAM177, LPL, ARGEF26), reaching statistical significance (p ≤ 3.0 × 10–6) using both GBA tests in two GWAS studies. In addition, our analyses identified ten genes (DUSP13, KCNJ11, CD300LF/RAB37, SLCO1B1, LRRFIP1, QSER1, UBR2, MOB3C, MST1R, and ABCC8) with previously unreported associations with CAD, although none of the single SNV associations within the genes were genome-wide significant. Among the top 1% non-lipid pathways, we detected pathways regulating coagulation, inflammation, neuronal aging, and wound healing.
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