Genome-wide screening identifies a KCNIP1 copy number variant as a genetic predictor for atrial fibrillation

  • Chia Ti Tsai
  • , Chia Shan Hsieh
  • , Sheng Nan Chang
  • , Eric Y. Chuang
  • , Kwo Chang Ueng
  • , Chin Feng Tsai
  • , Tsung Hsien Lin
  • , Cho Kai Wu
  • , Jen Kuang Lee
  • , Lian Yu Lin
  • , Yi Chih Wang
  • , Chih Chieh Yu
  • , Ling Ping Lai
  • , Chuen Den Tseng
  • , Juey Jen Hwang
  • , Fu Tien Chiang
  • , Jiunn Lee Lin

Research output: Contribution to journalArticlepeer-review

Abstract

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia. Previous genome-wide association studies had identified single-nucleotide polymorphisms in several genomic regions to be associated with AF. In human genome, copy number variations (CNVs) are known to contribute to disease susceptibility. Using a genome-wide multistage approach to identify AF susceptibility CNVs, we here show a common 4,470-bp diallelic CNV in the first intron of potassium interacting channel 1 gene (KCNIP1) is strongly associated with AF in Taiwanese populations (odds ratio=2.27 for insertion allele; P=6.23 x 10-24). KCNIP1 insertion is associated with higher KCNIP1 mRNA expression. KCNIP1-encoded protein potassium interacting channel 1 (KCHIP1) is physically associated with potassium Kv channels and modulates atrial transient outward current in cardiac myocytes. Overexpression of KCNIP1 results in inducible AF in zebrafish. In conclusions, a common CNV in KCNIP1 gene is a genetic predictor of AF risk possibly pointing to a functional pathway.

Original languageEnglish
Article number10190
JournalNature Communications
Volume7
DOIs
Publication statusPublished - Feb 2 2016
Externally publishedYes

ASJC Scopus subject areas

  • General Chemistry
  • General Biochemistry,Genetics and Molecular Biology
  • General Physics and Astronomy

Fingerprint

Dive into the research topics of 'Genome-wide screening identifies a KCNIP1 copy number variant as a genetic predictor for atrial fibrillation'. Together they form a unique fingerprint.

Cite this