孟德尔随机化
数量性状位点
全基因组关联研究
生物
蛋白质组
疾病
载脂蛋白E
表达数量性状基因座
蛋白质组学
计算生物学
共域化
遗传学
遗传关联
基于家系的QTL定位
生物信息学
单核苷酸多态性
基因
基因定位
神经科学
医学
病理
基因型
遗传变异
染色体
作者
Carlos Cruchaga,Daniel Western,Jigyasha Timsina,Lihua Wang,Ciyang Wang,Chengran Yang,Muhammad Ali,Aleksandra Beric,Priyanka Gorijala,Patsy Kohlfeld,John Budde,Allan I. Levey,John C. Morris,Richard J. Perrin,Agustı́n Ruiz,Marta Marquié,Merçé Boada,Itziar de Rojas,Jarod Rutledge,Hamilton Oh
出处
期刊:Research Square - Research Square
日期:2023-06-09
被引量:27
标识
DOI:10.21203/rs.3.rs-2814616/v1
摘要
The integration of quantitative trait loci (QTL) with disease genome-wide association studies (GWAS) has proven successful at prioritizing candidate genes at disease-associated loci. QTL mapping has mainly been focused on multi-tissue expression QTL or plasma protein QTL (pQTL). Here we generated the largest-to-date cerebrospinal fluid (CSF) pQTL atlas by analyzing 7,028 proteins in 3,107 samples. We identified 3,373 independent study-wide associations for 1,961 proteins, including 2,448 novel pQTLs of which 1,585 are unique to CSF, demonstrating unique genetic regulation of the CSF proteome. In addition to the established chr6p22.2-21.32 HLA region, we identified pleiotropic regions on chr3q28 near
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