Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon, Republic of Korea.
Department of Neurosurgery, Hallym University College of Medicine, Chuncheon, Republic of Korea.
World Neurosurg. 2022 Oct;166:e109-e117. doi: 10.1016/j.wneu.2022.06.113. Epub 2022 Jul 2.
Compared to European, Japanese, and Chinese populations, genetic studies on intracranial aneurysms (IAs) in Koreans are lacking. We conducted an updated genome-wide association study (GWAS) to more accurately identify candidate variations predicting IA by genotype correction and imputation than in the first Korean GWAS.
We performed a high-throughput imputation of single-nucleotide polymorphisms (SNPs) and genotype missing values for 250 IA and 296 controls. Out of a total of 7,333,746 sites with an imputation R score of ≥0.5, 6,105,212 SNPs were analyzed. A high-throughput GWAS was performed after adjusting for clinical variables and 4 principal component analysis values.
A total of 39 SNPs reached a significant genome-wide threshold (P < 5 × 10). After pruning by pairwise linkage disequilibrium (r < 0.8), 11 SNPs were consistently associated with IA. Six tagging SNPs, including rs3120004, rs1851347, rs1522095, rs7779989, rs12935558, rs3826442, and rs2440154, showed strong linkage disequilibrium tower tagging haplotype structures. Among them, rs3120004 tagged a large and strong haplotype structure between LOC440704 and RGS18 genes in 1q31.2 (odds ratio, 2.34; 95% confidence interval, 1.74-3.14; P = 1.4 × 10). The rs2440154 (SLC47A1, 17p11.2) SNP increased the risk of IA most significantly (odds ratio, 2.90; 95% confidence interval, 2.07-4.08; P = 8.2 × 10). The region encompassing rs3826442 (MYH13, 17p13.1) showed a high recombination rate of approximately 70 cM/Mbp.
Our updated GWAS using high-throughput imputation approaches can be an informative milestone in understanding IA formation via susceptibility loci in this stage before large-scale genome-wide association meta-analysis.
与欧洲、日本和中国人群相比,针对韩国颅内动脉瘤(IA)的遗传研究相对较少。我们进行了一项更新的全基因组关联研究(GWAS),通过基因型校正和插补,比第一次韩国 GWAS 更准确地识别预测 IA 的候选变异。
我们对 250 例 IA 和 296 例对照进行了高通量单核苷酸多态性(SNP)的高分辨率和基因型缺失值的插入。在总共有 7333746 个插补 R 评分≥0.5 的位点中,分析了 6105212 个 SNP。在调整了临床变量和 4 个主成分分析值后,进行了高通量 GWAS。
共有 39 个 SNP 达到了显著的全基因组阈值(P < 5×10)。通过两两连锁不平衡(r < 0.8)修剪后,有 11 个 SNP 与 IA 一致相关。6 个标记 SNP,包括 rs3120004、rs1851347、rs1522095、rs7779989、rs12935558、rs3826442 和 rs2440154,表现出强烈的连锁不平衡,构成了标记单倍型结构。其中,rs3120004 标记了 1q31.2 中 LOC440704 和 RGS18 基因之间的大而强的单倍型结构(比值比,2.34;95%置信区间,1.74-3.14;P = 1.4×10)。rs2440154(SLC47A1,17p11.2)SNP 增加 IA 的风险最为显著(比值比,2.90;95%置信区间,2.07-4.08;P = 8.2×10)。包含 rs3826442(MYH13,17p13.1)的区域显示出约 70cM/Mbp 的高重组率。
我们使用高通量插补方法进行的更新 GWAS 可以为理解通过该阶段易感性位点形成的 IA 提供有价值的里程碑,在此之前还需要进行大规模的全基因组关联荟萃分析。