1. Integrating Genetic, Transcriptional, and Functional Analyses to Identify 5 Novel Genes for Atrial Fibrillation
- Author
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Sinner, M.F., Tucker, N.R., Lunetta, K.L., Ozaki, K., Smith, J.G., Trompet, S., Bis, J.C., Lin, H.H., Chung, M.K., Nielsen, J.B., Lubitz, S.A., Krijthe, B.P., Magnani, J.W., Ye, J.C., Gollob, M.H., Tsunoda, T., Muller-Nurasyid, M., Lichtner, P., Peters, A., Dolmatova, E., Kubo, M., Smith, J.D., Psaty, B.M., Smith, N.L., Jukema, W., Chasman, D.I., Albert, C.M., Ebana, Y., Furukawa, T., MacFarlane, P.W., Harris, T.B., Darbar, D., Dorr, M., Holst, A.G., Svendsen, J.H., Hofman, A., Uitterlinden, A.G., Gudnason, V., Isobe, M., Malik, R., Dichgans, M., Rosand, J., Wagoner, D.R. van, Benjamin, E.J., Milan, D.J., Melander, O., Heckbert, S.R., Ford, I., Liu, Y.M., Barnard, J., Olesen, M.S., Stricker, B.H.C., Tanaka, T., Kaeaeb, S., Ellinor, P.T., METASTROKE Consortium AFGen Consor, Epidemiology, and Internal Medicine
- Subjects
Male ,single nucleotide ,Genotype ,Ubiquitin-Protein Ligases ,Quantitative Trait Loci ,Muscle Proteins ,Quantitative trait locus ,Bioinformatics ,Article ,polymorphism ,Japan ,Polymorphism (computer science) ,Physiology (medical) ,medicine ,Animals ,Humans ,Genetic Predisposition to Disease ,atrial fibrillation ,genetics ,Genotyping ,Aged ,Homeodomain Proteins ,Fibrillation ,business.industry ,Chromosome Mapping ,Nuclear Proteins ,Atrial fibrillation ,Middle Aged ,Zebrafish Proteins ,zebrafish ,medicine.disease ,Confidence interval ,Europe ,Repressor Proteins ,Genetic Loci ,Connexin 43 ,Gene Knockdown Techniques ,Relative risk ,Expression quantitative trait loci ,gene expression ,Female ,epidemiology ,medicine.symptom ,T-Box Domain Proteins ,Cardiology and Cardiovascular Medicine ,business ,Transcription Factors - Abstract
Background— Atrial fibrillation (AF) affects >30 million individuals worldwide and is associated with an increased risk of stroke, heart failure, and death. AF is highly heritable, yet the genetic basis for the arrhythmia remains incompletely understood. Methods and Results— To identify new AF-related genes, we used a multifaceted approach, combining large-scale genotyping in 2 ethnically distinct populations, cis-eQTL ( expression quantitative trait loci ) mapping, and functional validation. Four novel loci were identified in individuals of European descent near the genes NEURL (rs12415501; relative risk [RR]=1.18; 95% confidence interval [CI], 1.13–1.23; P =6.5×10 −16 ), GJA1 (rs13216675; RR=1.10; 95% CI, 1.06–1.14; P =2.2×10 −8 ), TBX5 (rs10507248; RR=1.12; 95% CI, 1.08–1.16; P =5.7×10 −11 ), and CAND2 (rs4642101; RR=1.10; 95% CI, 1.06–1.14; P =9.8×10 −9 ). In Japanese, novel loci were identified near NEURL (rs6584555; RR=1.32; 95% CI, 1.26–1.39; P =2.0×10 −25 ) and CUX2 (rs6490029; RR=1.12; 95% CI, 1.08–1.16; P =3.9×10 −9 ). The top single-nucleotide polymorphisms or their proxies were identified as cis-eQTLs for the genes CAND2 ( P =2.6×10 −19 ), GJA1 ( P =2.66×10 −6 ), and TBX5 ( P =1.36×10 −5 ). Knockdown of the zebrafish orthologs of NEURL and CAND2 resulted in prolongation of the atrial action potential duration (17% and 45%, respectively). Conclusions— We have identified 5 novel loci for AF. Our results expand the diversity of genetic pathways implicated in AF and provide novel molecular targets for future biological and pharmacological investigation.
- Published
- 2014