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Consanguinity Mapping of Congenital Heart Disease in a South Indian Population
BACKGROUND: Parental consanguinity is a risk factor for congenital heart disease (CHD) worldwide, suggesting that a recessive inheritance model may contribute substantially to CHD. In Bangalore, India, uncle-niece and first cousin marriages are common, presenting the opportunity for an international...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2858208/ https://www.ncbi.nlm.nih.gov/pubmed/20422016 http://dx.doi.org/10.1371/journal.pone.0010286 |
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author | McGregor, Tracy L. Misri, Amit Bartlett, Jackie Orabona, Guilherme Friedman, Richard D. Sexton, David Maheshwari, Sunita Morgan, Thomas M. |
author_facet | McGregor, Tracy L. Misri, Amit Bartlett, Jackie Orabona, Guilherme Friedman, Richard D. Sexton, David Maheshwari, Sunita Morgan, Thomas M. |
author_sort | McGregor, Tracy L. |
collection | PubMed |
description | BACKGROUND: Parental consanguinity is a risk factor for congenital heart disease (CHD) worldwide, suggesting that a recessive inheritance model may contribute substantially to CHD. In Bangalore, India, uncle-niece and first cousin marriages are common, presenting the opportunity for an international study involving consanguinity mapping of structural CHD. We sought to explore the recessive model of CHD by conducting a genome-wide linkage analysis utilizing high-density oligonucleotide microarrays and enrolling 83 CHD probands born to unaffected consanguineous parents. METHODOLOGY/PRINCIPAL FINDINGS: In this linkage scan involving single nucleotide polymorphism (SNP) markers, the threshold for genome-wide statistical significance was set at the standard log-of-odds (LOD) score threshold of 3.3, corresponding to 1995∶1 odds in favor of linkage. We identified a maximal single-point LOD score of 3.76 (5754∶1 odds) implicating linkage of CHD with the major allele (G) of rs1055061 on chromosome 14 in the HOMEZ gene, a ubiquitously expressed transcription factor containing leucine zipper as well as zinc finger motifs. Re-sequencing of HOMEZ exons did not reveal causative mutations in Indian probands. In addition, genotyping of the linked allele (G) in 325 U.S. CHD cases revealed neither genotypic nor allele frequency differences in varied CHD cases compared to 605 non-CHD controls. CONCLUSIONS/SIGNIFICANCE: Despite the statistical power of the consanguinity mapping approach, no single gene of major effect could be convincingly identified in a clinically heterogeneous sample of Indian CHD cases born to consanguineous parents. However, we are unable to exclude the possibility that noncoding regions of HOMEZ may harbor recessive mutations leading to CHD in the Indian population. Further research involving large multinational cohorts of patients with specific subtypes of CHD is needed to attempt replication of the observed linkage peak on chromosome 14. In addition, we anticipate that a targeted re-sequencing approach may complement linkage analysis in future studies of recessive mutation detection in CHD. |
format | Text |
id | pubmed-2858208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-28582082010-04-26 Consanguinity Mapping of Congenital Heart Disease in a South Indian Population McGregor, Tracy L. Misri, Amit Bartlett, Jackie Orabona, Guilherme Friedman, Richard D. Sexton, David Maheshwari, Sunita Morgan, Thomas M. PLoS One Research Article BACKGROUND: Parental consanguinity is a risk factor for congenital heart disease (CHD) worldwide, suggesting that a recessive inheritance model may contribute substantially to CHD. In Bangalore, India, uncle-niece and first cousin marriages are common, presenting the opportunity for an international study involving consanguinity mapping of structural CHD. We sought to explore the recessive model of CHD by conducting a genome-wide linkage analysis utilizing high-density oligonucleotide microarrays and enrolling 83 CHD probands born to unaffected consanguineous parents. METHODOLOGY/PRINCIPAL FINDINGS: In this linkage scan involving single nucleotide polymorphism (SNP) markers, the threshold for genome-wide statistical significance was set at the standard log-of-odds (LOD) score threshold of 3.3, corresponding to 1995∶1 odds in favor of linkage. We identified a maximal single-point LOD score of 3.76 (5754∶1 odds) implicating linkage of CHD with the major allele (G) of rs1055061 on chromosome 14 in the HOMEZ gene, a ubiquitously expressed transcription factor containing leucine zipper as well as zinc finger motifs. Re-sequencing of HOMEZ exons did not reveal causative mutations in Indian probands. In addition, genotyping of the linked allele (G) in 325 U.S. CHD cases revealed neither genotypic nor allele frequency differences in varied CHD cases compared to 605 non-CHD controls. CONCLUSIONS/SIGNIFICANCE: Despite the statistical power of the consanguinity mapping approach, no single gene of major effect could be convincingly identified in a clinically heterogeneous sample of Indian CHD cases born to consanguineous parents. However, we are unable to exclude the possibility that noncoding regions of HOMEZ may harbor recessive mutations leading to CHD in the Indian population. Further research involving large multinational cohorts of patients with specific subtypes of CHD is needed to attempt replication of the observed linkage peak on chromosome 14. In addition, we anticipate that a targeted re-sequencing approach may complement linkage analysis in future studies of recessive mutation detection in CHD. Public Library of Science 2010-04-21 /pmc/articles/PMC2858208/ /pubmed/20422016 http://dx.doi.org/10.1371/journal.pone.0010286 Text en McGregor et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article McGregor, Tracy L. Misri, Amit Bartlett, Jackie Orabona, Guilherme Friedman, Richard D. Sexton, David Maheshwari, Sunita Morgan, Thomas M. Consanguinity Mapping of Congenital Heart Disease in a South Indian Population |
title | Consanguinity Mapping of Congenital Heart Disease in a South Indian Population |
title_full | Consanguinity Mapping of Congenital Heart Disease in a South Indian Population |
title_fullStr | Consanguinity Mapping of Congenital Heart Disease in a South Indian Population |
title_full_unstemmed | Consanguinity Mapping of Congenital Heart Disease in a South Indian Population |
title_short | Consanguinity Mapping of Congenital Heart Disease in a South Indian Population |
title_sort | consanguinity mapping of congenital heart disease in a south indian population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2858208/ https://www.ncbi.nlm.nih.gov/pubmed/20422016 http://dx.doi.org/10.1371/journal.pone.0010286 |
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