Gene-based genome-wide association studies and meta-analyses of conotruncal heart defects.

Conotruncal heart defects (CTDs) are among the most common and severe groups of congenital heart defects. Despite evidence of an inherited genetic contribution to CTDs, little is known about the specific genes that contribute to the development of CTDs. We performed gene-based genome-wide analyses u...

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Main Authors: Anshuman Sewda, A J Agopian, Elizabeth Goldmuntz, Hakon Hakonarson, Bernice E Morrow, Deanne Taylor, Laura E Mitchell, Pediatric Cardiac Genomics Consortium
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0219926
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spelling doaj-3151f7ca816e4d1980ccf5483f189e162021-03-03T21:28:49ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01147e021992610.1371/journal.pone.0219926Gene-based genome-wide association studies and meta-analyses of conotruncal heart defects.Anshuman SewdaA J AgopianElizabeth GoldmuntzHakon HakonarsonBernice E MorrowDeanne TaylorLaura E MitchellPediatric Cardiac Genomics ConsortiumConotruncal heart defects (CTDs) are among the most common and severe groups of congenital heart defects. Despite evidence of an inherited genetic contribution to CTDs, little is known about the specific genes that contribute to the development of CTDs. We performed gene-based genome-wide analyses using microarray-genotyped and imputed common and rare variants data from two large studies of CTDs in the United States. We performed two case-parent trio analyses (N = 640 and 317 trios), using an extension of the family-based multi-marker association test, and two case-control analyses (N = 482 and 406 patients and comparable numbers of controls), using a sequence kernel association test. We also undertook two meta-analyses to combine the results from the analyses that used the same approach (i.e. family-based or case-control). To our knowledge, these analyses are the first reported gene-based, genome-wide association studies of CTDs. Based on our findings, we propose eight CTD candidate genes (ARF5, EIF4E, KPNA1, MAP4K3, MBNL1, NCAPG, NDFUS1 and PSMG3). Four of these genes (ARF5, KPNA1, NDUFS1 and PSMG3) have not been previously associated with normal or abnormal heart development. In addition, our analyses provide additional evidence that genes involved in chromatin-modification and in ribonucleic acid splicing are associated with congenital heart defects.https://doi.org/10.1371/journal.pone.0219926
collection DOAJ
language English
format Article
sources DOAJ
author Anshuman Sewda
A J Agopian
Elizabeth Goldmuntz
Hakon Hakonarson
Bernice E Morrow
Deanne Taylor
Laura E Mitchell
Pediatric Cardiac Genomics Consortium
spellingShingle Anshuman Sewda
A J Agopian
Elizabeth Goldmuntz
Hakon Hakonarson
Bernice E Morrow
Deanne Taylor
Laura E Mitchell
Pediatric Cardiac Genomics Consortium
Gene-based genome-wide association studies and meta-analyses of conotruncal heart defects.
PLoS ONE
author_facet Anshuman Sewda
A J Agopian
Elizabeth Goldmuntz
Hakon Hakonarson
Bernice E Morrow
Deanne Taylor
Laura E Mitchell
Pediatric Cardiac Genomics Consortium
author_sort Anshuman Sewda
title Gene-based genome-wide association studies and meta-analyses of conotruncal heart defects.
title_short Gene-based genome-wide association studies and meta-analyses of conotruncal heart defects.
title_full Gene-based genome-wide association studies and meta-analyses of conotruncal heart defects.
title_fullStr Gene-based genome-wide association studies and meta-analyses of conotruncal heart defects.
title_full_unstemmed Gene-based genome-wide association studies and meta-analyses of conotruncal heart defects.
title_sort gene-based genome-wide association studies and meta-analyses of conotruncal heart defects.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description Conotruncal heart defects (CTDs) are among the most common and severe groups of congenital heart defects. Despite evidence of an inherited genetic contribution to CTDs, little is known about the specific genes that contribute to the development of CTDs. We performed gene-based genome-wide analyses using microarray-genotyped and imputed common and rare variants data from two large studies of CTDs in the United States. We performed two case-parent trio analyses (N = 640 and 317 trios), using an extension of the family-based multi-marker association test, and two case-control analyses (N = 482 and 406 patients and comparable numbers of controls), using a sequence kernel association test. We also undertook two meta-analyses to combine the results from the analyses that used the same approach (i.e. family-based or case-control). To our knowledge, these analyses are the first reported gene-based, genome-wide association studies of CTDs. Based on our findings, we propose eight CTD candidate genes (ARF5, EIF4E, KPNA1, MAP4K3, MBNL1, NCAPG, NDFUS1 and PSMG3). Four of these genes (ARF5, KPNA1, NDUFS1 and PSMG3) have not been previously associated with normal or abnormal heart development. In addition, our analyses provide additional evidence that genes involved in chromatin-modification and in ribonucleic acid splicing are associated with congenital heart defects.
url https://doi.org/10.1371/journal.pone.0219926
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