外显子组
外显子组测序
遗传学
医学
人口
遗传关联
连锁不平衡
全基因组关联研究
候选基因
高强度
表型
生物
病理
疾病
基因型
单核苷酸多态性
基因
磁共振成像
环境卫生
放射科
作者
Aniket Mishra,Ganesh Chauhan,Marie-Helene Violleau,Dina Vojinović,Xueqiu Jian,Joshua C. Bis,Shuo Li,Yasaman Saba,Benjamin Grenier‐Boley,Qiong Yang,Traci M. Bartz,Edith Hofer,Aïcha Soumaré,Fen Peng,Marie-Gabrielle Duperron,Mario Foglio,Thomas H. Mosley,Reinhold Schmidt,Bruce M. Psaty,Lenore J. Launer
出处
期刊:Brain
[Oxford University Press]
日期:2019-01-21
卷期号:142 (4): 1009-1023
被引量:45
摘要
We report a composite extreme phenotype design using distribution of white matter hyperintensities and brain infarcts in a population-based cohort of older persons for gene-mapping of cerebral small vessel disease. We demonstrate its application in the 3C-Dijon whole exome sequencing (WES) study (n = 1924, nWESextremes = 512), with both single variant and gene-based association tests. We used other population-based cohort studies participating in the CHARGE consortium for replication, using whole exome sequencing (nWES = 2,868, nWESextremes = 956) and genome-wide genotypes (nGW = 9924, nGWextremes = 3308). We restricted our study to candidate genes known to harbour mutations for Mendelian small vessel disease: NOTCH3, HTRA1, COL4A1, COL4A2 and TREX1. We identified significant associations of a common intronic variant in HTRA1, rs2293871 using single variant association testing (Pdiscovery = 8.21 × 10-5, Preplication = 5.25 × 10-3, Pcombined = 4.72 × 10-5) and of NOTCH3 using gene-based tests (Pdiscovery = 1.61 × 10-2, Preplication = 3.99 × 10-2, Pcombined = 5.31 × 10-3). Follow-up analysis identified significant association of rs2293871 with small vessel ischaemic stroke, and two blood expression quantitative trait loci of HTRA1 in linkage disequilibrium. Additionally, we identified two participants in the 3C-Dijon cohort (0.4%) carrying heterozygote genotypes at known pathogenic variants for familial small vessel disease within NOTCH3 and HTRA1. In conclusion, our proof-of-concept study provides strong evidence that using a novel composite MRI-derived phenotype for extremes of small vessel disease can facilitate the identification of genetic variants underlying small vessel disease, both common variants and those with rare and low frequency. The findings demonstrate shared mechanisms and a continuum between genes underlying Mendelian small vessel disease and those contributing to the common, multifactorial form of the disease.
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