Natural genetic variation of the cardiac transcriptome in non-diseased donors and patients with dilated cardiomyopathy

Matthias Heinig(Helmholtz Zentrum München), Michiel Adriaens(Amsterdam UMC Location University of Amsterdam), Sebastian Schäfer(National University of Singapore), Hanneke W. M. van Deutekom(Amsterdam UMC Location University of Amsterdam), Elisabeth M. Lodder(Amsterdam UMC Location University of Amsterdam), James S. Ware(Harefield Hospital), Valentin Schneider-Lunitz(Max Delbrück Center), Leanne E. Felkin(Harefield Hospital), Esther E. Creemers(Amsterdam UMC Location University of Amsterdam), Benjamin Meder(Heidelberg University), Hugo A. Katus(Heidelberg University), Frank Rühle(University of Münster), Monika Stoll(University of Münster), François Cambien(Inserm), Eric Villard(Inserm), Philippe Charron(Inserm), András Varró(University of Szeged), Nanette H. Bishopric(University of Miami), Alfred L. George(Northwestern University), Cristobal G. dos Remedios(The University of Sydney), Aida Moreno‐Moral(Duke-NUS Medical School), Francesco Pesce(Harefield Hospital), Anja Bauerfeind(Max Delbrück Center), Franz Rüschendorf(Max Delbrück Center), Carola Rintisch(Max Delbrück Center), Enrico Petretto(Duke-NUS Medical School), Paul J.R. Barton(Harefield Hospital), Stuart A. Cook(National University of Singapore), Yigal M. Pinto(Amsterdam UMC Location University of Amsterdam), Connie R. Bezzina(Amsterdam UMC Location University of Amsterdam), Norbert Hübner(Max Delbrück Center)
Genome biology
September 11, 2017
Cited by 90Open Access
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Abstract

BACKGROUND: Genetic variation is an important determinant of RNA transcription and splicing, which in turn contributes to variation in human traits, including cardiovascular diseases. RESULTS: Here we report the first in-depth survey of heart transcriptome variation using RNA-sequencing in 97 patients with dilated cardiomyopathy and 108 non-diseased controls. We reveal extensive differences of gene expression and splicing between dilated cardiomyopathy patients and controls, affecting known as well as novel dilated cardiomyopathy genes. Moreover, we show a widespread effect of genetic variation on the regulation of transcription, isoform usage, and allele-specific expression. Systematic annotation of genome-wide association SNPs identifies 60 functional candidate genes for heart phenotypes, representing 20% of all published heart genome-wide association loci. Focusing on the dilated cardiomyopathy phenotype we found that eQTL variants are also enriched for dilated cardiomyopathy genome-wide association signals in two independent cohorts. CONCLUSIONS: RNA transcription, splicing, and allele-specific expression are each important determinants of the dilated cardiomyopathy phenotype and are controlled by genetic factors. Our results represent a powerful resource for the field of cardiovascular genetics.


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