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Genetic Determinants of Facial Clefting: Analysis of 357 Candidate Genes Using Two National Cleft Studies from Scandinavia

BACKGROUND: Facial clefts are common birth defects with a strong genetic component. To identify fetal genetic risk factors for clefting, 1536 SNPs in 357 candidate genes were genotyped in two population-based samples from Scandinavia (Norway: 562 case-parent and 592 control-parent triads; Denmark: 2...

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Autores principales: Jugessur, Astanand, Shi, Min, Gjessing, Håkon Kristian, Lie, Rolv Terje, Wilcox, Allen James, Weinberg, Clarice Ring, Christensen, Kaare, Boyles, Abee Lowman, Daack-Hirsch, Sandra, Trung, Truc Nguyen, Bille, Camilla, Lidral, Andrew Carl, Murray, Jeffrey Clark
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2671138/
https://www.ncbi.nlm.nih.gov/pubmed/19401770
http://dx.doi.org/10.1371/journal.pone.0005385
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author Jugessur, Astanand
Shi, Min
Gjessing, Håkon Kristian
Lie, Rolv Terje
Wilcox, Allen James
Weinberg, Clarice Ring
Christensen, Kaare
Boyles, Abee Lowman
Daack-Hirsch, Sandra
Trung, Truc Nguyen
Bille, Camilla
Lidral, Andrew Carl
Murray, Jeffrey Clark
author_facet Jugessur, Astanand
Shi, Min
Gjessing, Håkon Kristian
Lie, Rolv Terje
Wilcox, Allen James
Weinberg, Clarice Ring
Christensen, Kaare
Boyles, Abee Lowman
Daack-Hirsch, Sandra
Trung, Truc Nguyen
Bille, Camilla
Lidral, Andrew Carl
Murray, Jeffrey Clark
author_sort Jugessur, Astanand
collection PubMed
description BACKGROUND: Facial clefts are common birth defects with a strong genetic component. To identify fetal genetic risk factors for clefting, 1536 SNPs in 357 candidate genes were genotyped in two population-based samples from Scandinavia (Norway: 562 case-parent and 592 control-parent triads; Denmark: 235 case-parent triads). METHODOLOGY/PRINCIPAL FINDINGS: We used two complementary statistical methods, TRIMM and HAPLIN, to look for associations across these two national samples. TRIMM tests for association in each gene by using multi-SNP genotypes from case-parent triads directly without the need to infer haplotypes. HAPLIN on the other hand estimates the full haplotype distribution over a set of SNPs and estimates relative risks associated with each haplotype. For isolated cleft lip with or without cleft palate (I-CL/P), TRIMM and HAPLIN both identified significant associations with IRF6 and ADH1C in both populations, but only HAPLIN found an association with FGF12. For isolated cleft palate (I-CP), TRIMM found associations with ALX3, MKX, and PDGFC in both populations, but only the association with PDGFC was identified by HAPLIN. In addition, HAPLIN identified an association with ETV5 that was not detected by TRIMM. CONCLUSION/SIGNIFICANCE: Strong associations with seven genes were replicated in the Scandinavian samples and our approach effectively replicated the strongest previously known association in clefting—with IRF6. Based on two national cleft cohorts of similar ancestry, two robust statistical methods and a large panel of SNPs in the most promising cleft candidate genes to date, this study identified a previously unknown association with clefting for ADH1C and provides additional candidates and analytic approaches to advance the field.
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spelling pubmed-26711382009-04-29 Genetic Determinants of Facial Clefting: Analysis of 357 Candidate Genes Using Two National Cleft Studies from Scandinavia Jugessur, Astanand Shi, Min Gjessing, Håkon Kristian Lie, Rolv Terje Wilcox, Allen James Weinberg, Clarice Ring Christensen, Kaare Boyles, Abee Lowman Daack-Hirsch, Sandra Trung, Truc Nguyen Bille, Camilla Lidral, Andrew Carl Murray, Jeffrey Clark PLoS One Research Article BACKGROUND: Facial clefts are common birth defects with a strong genetic component. To identify fetal genetic risk factors for clefting, 1536 SNPs in 357 candidate genes were genotyped in two population-based samples from Scandinavia (Norway: 562 case-parent and 592 control-parent triads; Denmark: 235 case-parent triads). METHODOLOGY/PRINCIPAL FINDINGS: We used two complementary statistical methods, TRIMM and HAPLIN, to look for associations across these two national samples. TRIMM tests for association in each gene by using multi-SNP genotypes from case-parent triads directly without the need to infer haplotypes. HAPLIN on the other hand estimates the full haplotype distribution over a set of SNPs and estimates relative risks associated with each haplotype. For isolated cleft lip with or without cleft palate (I-CL/P), TRIMM and HAPLIN both identified significant associations with IRF6 and ADH1C in both populations, but only HAPLIN found an association with FGF12. For isolated cleft palate (I-CP), TRIMM found associations with ALX3, MKX, and PDGFC in both populations, but only the association with PDGFC was identified by HAPLIN. In addition, HAPLIN identified an association with ETV5 that was not detected by TRIMM. CONCLUSION/SIGNIFICANCE: Strong associations with seven genes were replicated in the Scandinavian samples and our approach effectively replicated the strongest previously known association in clefting—with IRF6. Based on two national cleft cohorts of similar ancestry, two robust statistical methods and a large panel of SNPs in the most promising cleft candidate genes to date, this study identified a previously unknown association with clefting for ADH1C and provides additional candidates and analytic approaches to advance the field. Public Library of Science 2009-04-29 /pmc/articles/PMC2671138/ /pubmed/19401770 http://dx.doi.org/10.1371/journal.pone.0005385 Text en Jugessur 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
Jugessur, Astanand
Shi, Min
Gjessing, Håkon Kristian
Lie, Rolv Terje
Wilcox, Allen James
Weinberg, Clarice Ring
Christensen, Kaare
Boyles, Abee Lowman
Daack-Hirsch, Sandra
Trung, Truc Nguyen
Bille, Camilla
Lidral, Andrew Carl
Murray, Jeffrey Clark
Genetic Determinants of Facial Clefting: Analysis of 357 Candidate Genes Using Two National Cleft Studies from Scandinavia
title Genetic Determinants of Facial Clefting: Analysis of 357 Candidate Genes Using Two National Cleft Studies from Scandinavia
title_full Genetic Determinants of Facial Clefting: Analysis of 357 Candidate Genes Using Two National Cleft Studies from Scandinavia
title_fullStr Genetic Determinants of Facial Clefting: Analysis of 357 Candidate Genes Using Two National Cleft Studies from Scandinavia
title_full_unstemmed Genetic Determinants of Facial Clefting: Analysis of 357 Candidate Genes Using Two National Cleft Studies from Scandinavia
title_short Genetic Determinants of Facial Clefting: Analysis of 357 Candidate Genes Using Two National Cleft Studies from Scandinavia
title_sort genetic determinants of facial clefting: analysis of 357 candidate genes using two national cleft studies from scandinavia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2671138/
https://www.ncbi.nlm.nih.gov/pubmed/19401770
http://dx.doi.org/10.1371/journal.pone.0005385
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