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

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          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 × 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.

          Abstract

          Tsai et al. here utilize a multi-stage genome-wide association study in Taiwanese population to show a copy number variation in the intron of potassium interacting channel 1 gene (KCNIP1) to be strongly associated with atrial fibrillation. The study also examines the functionality of KCNIP1 in heart electrophysiological function using cultured myocytes and zebrafish.

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          Most cited references34

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          Genomewide association analysis of coronary artery disease.

          Modern genotyping platforms permit a systematic search for inherited components of complex diseases. We performed a joint analysis of two genomewide association studies of coronary artery disease. We first identified chromosomal loci that were strongly associated with coronary artery disease in the Wellcome Trust Case Control Consortium (WTCCC) study (which involved 1926 case subjects with coronary artery disease and 2938 controls) and looked for replication in the German MI [Myocardial Infarction] Family Study (which involved 875 case subjects with myocardial infarction and 1644 controls). Data on other single-nucleotide polymorphisms (SNPs) that were significantly associated with coronary artery disease in either study (P 80%) of a true association: chromosomes 1p13.3 (rs599839), 1q41 (rs17465637), 10q11.21 (rs501120), and 15q22.33 (rs17228212). We identified several genetic loci that, individually and in aggregate, substantially affect the risk of development of coronary artery disease. Copyright 2007 Massachusetts Medical Society.
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            Integrated detection and population-genetic analysis of SNPs and copy number variation.

            Dissecting the genetic basis of disease risk requires measuring all forms of genetic variation, including SNPs and copy number variants (CNVs), and is enabled by accurate maps of their locations, frequencies and population-genetic properties. We designed a hybrid genotyping array (Affymetrix SNP 6.0) to simultaneously measure 906,600 SNPs and copy number at 1.8 million genomic locations. By characterizing 270 HapMap samples, we developed a map of human CNV (at 2-kb breakpoint resolution) informed by integer genotypes for 1,320 copy number polymorphisms (CNPs) that segregate at an allele frequency >1%. More than 80% of the sequence in previously reported CNV regions fell outside our estimated CNV boundaries, indicating that large (>100 kb) CNVs affect much less of the genome than initially reported. Approximately 80% of observed copy number differences between pairs of individuals were due to common CNPs with an allele frequency >5%, and more than 99% derived from inheritance rather than new mutation. Most common, diallelic CNPs were in strong linkage disequilibrium with SNPs, and most low-frequency CNVs segregated on specific SNP haplotypes.
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              Variants conferring risk of atrial fibrillation on chromosome 4q25.

              Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia in humans and is characterized by chaotic electrical activity of the atria. It affects one in ten individuals over the age of 80 years, causes significant morbidity and is an independent predictor of mortality. Recent studies have provided evidence of a genetic contribution to AF. Mutations in potassium-channel genes have been associated with familial AF but account for only a small fraction of all cases of AF. We have performed a genome-wide association scan, followed by replication studies in three populations of European descent and a Chinese population from Hong Kong and find a strong association between two sequence variants on chromosome 4q25 and AF. Here we show that about 35% of individuals of European descent have at least one of the variants and that the risk of AF increases by 1.72 and 1.39 per copy. The association with the stronger variant is replicated in the Chinese population, where it is carried by 75% of individuals and the risk of AF is increased by 1.42 per copy. A stronger association was observed in individuals with typical atrial flutter. Both variants are adjacent to PITX2, which is known to have a critical function in left-right asymmetry of the heart.
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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group
                2041-1723
                02 February 2016
                2016
                : 7
                : 10190
                Affiliations
                [1 ]Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine and Hospital , No. 7, Chung-Shan South Road, Taipei 100, Taiwan
                [2 ]Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University , No. 7, Chung-Shan South Road, Taipei 100, Taiwan
                [3 ]Department of Internal Medicine, National Taiwan University Hospital Yun-Lin Branch , No. 579, Sec. 2, Yunlin Road, Douliou City, Yunlin County 640, Taiwan
                [4 ]Department of Life Science, Genome and Systems Biology Degree Program, National Taiwan University , No. 1, Sec. 4, Rutherford Road, Taipei 10617, Taiwan
                [5 ]Bioinformatics and Biostatistics Core, Center of Genomic Medicine, National Taiwan University , No. 2, Syu-jhou Road, Taipei 10055, Taiwan
                [6 ]School of Medicine, Chung Shan Medical University , No. 110, Sec. 1, Jianguo North Road, Taichung City 40201, Taiwan
                [7 ]Department of Medicine, Chung Shan Medical University Hospital , No. 110, Sec. 1, Jianguo North Road, Taichung City 40201, Taiwan
                [8 ]Division of Cardiology, Department of Internal Medicine, Kaohsiung Medical University and Chung-Ho Memorial Hospital , No. 100, Shi-Chuan 1st Road, Kaohsiung City 807, Taiwan
                [9 ]Department of Laboratory Medicine, National Taiwan University College of Medicine and Hospital , No. 7, Chung-Shan South Road, Taipei 100, Taiwan
                Author notes
                Article
                ncomms10190
                10.1038/ncomms10190
                4740744
                26831368
                2bbc4592-4bd1-4c39-852a-5d5cf15c36e2
                Copyright © 2016, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 21 October 2014
                : 16 November 2015
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