Leveraging Extended Families for Cardiovascular Disease Genomic Discovery
收藏NIAID Data Ecosystem2026-04-29 收录
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https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002464.v1.p1
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This data resource provides exome or whole genome sequencing data for six patients and RNA-seq data from the cardiomyocyte experiments. ]]>
Atrial fibrillation (AF) is a common disorder affecting millions of individuals worldwide. Recent studies have identified genetic variants associated with AF. Familial forms of AF, while relatively rare, are often caused by high-impact rare variants in key genes. In this study, we identify and characterize a high-impact mutation in the KCNQ1 gene in a large extended family. The impact of the mutation on cardiac action potential is quantified in cardiomyocytes. We estimate the disease allele age, characterize its population history, and demonstrate how a genetic analysis of an extended pedigree can improve patient cardiac health outcomes. ]]>
创建时间:
2021-06-11



