Literature DB >> 30061737

Biobank-driven genomic discovery yields new insight into atrial fibrillation biology.

Jonas B Nielsen1,2, Rosa B Thorolfsdottir3,4, Lars G Fritsche1,5,6,7, Wei Zhou1,7, Morten W Skov8, Sarah E Graham1,2, Todd J Herron9, Shane McCarthy10, Ellen M Schmidt11, Gardar Sveinbjornsson3, Ida Surakka1,2, Michael R Mathis12, Masatoshi Yamazaki13, Ryan D Crawford7, Maiken E Gabrielsen5,6, Anne Heidi Skogholt5,6, Oddgeir L Holmen5,6,14, Maoxuan Lin1,2, Brooke N Wolford1,7, Rounak Dey11, Håvard Dalen15,16,17, Patrick Sulem3, Jonathan H Chung10, Joshua D Backman10, David O Arnar3,4,18, Unnur Thorsteinsdottir3,4, Aris Baras10, Colm O'Dushlaine10, Anders G Holst8, Xiaoquan Wen11, Whitney Hornsby1, Frederick E Dewey10, Michael Boehnke11, Sachin Kheterpal12, Bhramar Mukherjee11, Seunggeun Lee11, Hyun M Kang11, Hilma Holm3, Jacob Kitzman2, Jordan A Shavit19, José Jalife1,9,20, Chad M Brummett12, Tanya M Teslovich10, David J Carey21, Daniel F Gudbjartsson3,22, Kari Stefansson3,4, Gonçalo R Abecasis23,24, Kristian Hveem25,26,27, Cristen J Willer28,29,30.   

Abstract

To identify genetic variation underlying atrial fibrillation, the most common cardiac arrhythmia, we performed a genome-wide association study of >1,000,000 people, including 60,620 atrial fibrillation cases and 970,216 controls. We identified 142 independent risk variants at 111 loci and prioritized 151 functional candidate genes likely to be involved in atrial fibrillation. Many of the identified risk variants fall near genes where more deleterious mutations have been reported to cause serious heart defects in humans (GATA4, MYH6, NKX2-5, PITX2, TBX5)1, or near genes important for striated muscle function and integrity (for example, CFL2, MYH7, PKP2, RBM20, SGCG, SSPN). Pathway and functional enrichment analyses also suggested that many of the putative atrial fibrillation genes act via cardiac structural remodeling, potentially in the form of an 'atrial cardiomyopathy'2, either during fetal heart development or as a response to stress in the adult heart.

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Mesh:

Year:  2018        PMID: 30061737      PMCID: PMC6530775          DOI: 10.1038/s41588-018-0171-3

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  190 in total

Review 1.  Genetics of Atrial Fibrillation in 2020: GWAS, Genome Sequencing, Polygenic Risk, and Beyond.

Authors:  Carolina Roselli; Michiel Rienstra; Patrick T Ellinor
Journal:  Circ Res       Date:  2020-06-18       Impact factor: 17.367

Review 2.  Molecular Basis of Atrial Fibrillation Pathophysiology and Therapy: A Translational Perspective.

Authors:  Stanley Nattel; Jordi Heijman; Liping Zhou; Dobromir Dobrev
Journal:  Circ Res       Date:  2020-06-18       Impact factor: 17.367

3.  Meta-Analysis of 26 638 Individuals Identifies Two Genetic Loci Associated With Left Ventricular Ejection Fraction.

Authors:  Hélène Choquet; Khanh K Thai; Chen Jiang; Dilrini K Ranatunga; Thomas J Hoffmann; Alan S Go; Alistair C Lindsay; Margaret G Ehm; Dawn M Waterworth; Neil Risch; Catherine Schaefer
Journal:  Circ Genom Precis Med       Date:  2020-06-30

4.  Differentially expressed genes for atrial fibrillation identified by RNA sequencing from paired human left and right atrial appendages.

Authors:  Alison M Thomas; Claudia P Cabrera; Malcolm Finlay; Kulvinder Lall; Muriel Nobles; Richard J Schilling; Kristie Wood; Charles A Mein; Michael R Barnes; Patricia B Munroe; Andrew Tinker
Journal:  Physiol Genomics       Date:  2019-06-07       Impact factor: 3.107

Review 5.  Insight into atrial fibrillation through analysis of the coding transcriptome in humans.

Authors:  Marja Steenman
Journal:  Biophys Rev       Date:  2020-07-15

6.  Monogenic and Polygenic Contributions to Atrial Fibrillation Risk: Results From a National Biobank.

Authors:  Seung Hoan Choi; Sean J Jurgens; Lu-Chen Weng; James P Pirruccello; Carolina Roselli; Mark Chaffin; Christina J-Y Lee; Amelia W Hall; Amit V Khera; Kathryn L Lunetta; Steven A Lubitz; Patrick T Ellinor
Journal:  Circ Res       Date:  2019-11-06       Impact factor: 17.367

Review 7.  Advancing the use of genome-wide association studies for drug repurposing.

Authors:  William R Reay; Murray J Cairns
Journal:  Nat Rev Genet       Date:  2021-07-23       Impact factor: 53.242

8.  Genetically Determined Birthweight Associates With Atrial Fibrillation: A Mendelian Randomization Study.

Authors:  Rachel L Kember; Michael G Levin; Diana L Cousminer; Noah Tsao; Renae Judy; Gayatri M Schur; Steven A Lubitz; Patrick T Ellinor; Shana E McCormack; Struan F A Grant; Daniel J Rader; Benjamin F Voight; Scott M Damrauer
Journal:  Circ Genom Precis Med       Date:  2020-04-27

9.  A Fast and Accurate Method for Genome-wide Scale Phenome-wide G × E Analysis and Its Application to UK Biobank.

Authors:  Wenjian Bi; Zhangchen Zhao; Rounak Dey; Lars G Fritsche; Bhramar Mukherjee; Seunggeun Lee
Journal:  Am J Hum Genet       Date:  2019-11-14       Impact factor: 11.025

10.  Bid maintains mitochondrial cristae structure and function and protects against cardiac disease in an integrative genomics study.

Authors:  Christi T Salisbury-Ruf; Clinton C Bertram; Aurelia Vergeade; Daniel S Lark; Qiong Shi; Marlene L Heberling; Niki L Fortune; G Donald Okoye; W Gray Jerome; Quinn S Wells; Josh Fessel; Javid Moslehi; Heidi Chen; L Jackson Roberts; Olivier Boutaud; Eric R Gamazon; Sandra S Zinkel
Journal:  Elife       Date:  2018-10-03       Impact factor: 8.140

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