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1.
Am J Cardiol ; 117(3): 420-6, 2016 Feb 01.
Artigo em Inglês | MEDLINE | ID: mdl-26708639

RESUMO

Bicuspid aortic valve (BAV) is the most frequent congenital heart defect and has a male predominance of 3 to 1. A large proportion of patients develop valvular and aortic complications. Despite the high prevalence of BAV, its cause and genetic origins remain elusive. The goal of this study was to identify genetic variants associated with BAV. Nine genes previously associated with BAV (NOTCH1, AXIN1, EGFR, ENG, GATA5, NKX2-5, NOS3, PDIA2, and TGFBR2) were sequenced in 48 patients with BAV using the Ion Torrent Personal Genome Machine. Pathogenicity of genetic variants was evaluated with the Combined Annotation Dependent Depletion framework. A selection of 89 variants identified by sequencing or in previous BAV genetic studies was genotyped, and allele frequencies were compared in 323 patients with BAV confirmed at surgery and 584 controls. Analyses were also performed by gender. Nine novel and 19 potentially pathogenic variants were identified by next-generation sequencing and confirmed by Sanger sequencing, but they were not associated with BAV in the case-control population. A significant association was observed between an in silico-predicted benign EGFR intronic variant (rs17290301) and BAV. Analyses performed by gender revealed different variants associated with BAV in men (EGFR rs533525993 and TEX26 rs12857479) and women (NOTCH1 rs61751489, TGFBR2 rs1155705, and NKX2-5 rs2277923). In conclusion, these results constitute the first association between EGFR genetic variants and BAV in humans and support a possible role of gender-specific polymorphisms in the development of BAV.


Assuntos
Valva Aórtica/anormalidades , DNA/genética , Predisposição Genética para Doença , Doenças das Valvas Cardíacas/genética , Idoso , Valva Aórtica/diagnóstico por imagem , Doença da Válvula Aórtica Bicúspide , Ecocardiografia , Feminino , Frequência do Gene , Variação Genética , Genótipo , Doenças das Valvas Cardíacas/diagnóstico por imagem , Doenças das Valvas Cardíacas/epidemiologia , Humanos , Masculino , Pessoa de Meia-Idade , Prevalência , Quebeque/epidemiologia , Índice de Gravidade de Doença , Distribuição por Sexo , Fatores Sexuais
2.
Can Respir J ; 2016: 3564341, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-27445529

RESUMO

Susceptibility genes of asthma may be more successfully identified by studying subgroups of phenotypically similar asthma patients. This study aims to identify single nucleotide polymorphisms (SNPs) associated with asthma in French Canadian adult women. A pooling-based genome-wide association study was performed in 240 allergic asthmatic and 120 allergic nonasthmatic women. The top associated SNPs were selected for individual genotyping in an extended cohort of 349 asthmatic and 261 nonasthmatic women. The functional impact of asthma-associated SNPs was investigated in a lung expression quantitative trait loci (eQTL) mapping study (n = 1035). Twenty-one of the 38 SNPs tested by individual genotyping showed P values lower than 0.05 for association with asthma. Cis-eQTL analyses supported the functional contribution of rs17801353 associated with C3AR1 (P = 7.90E - 10). The asthma risk allele for rs17801353 is associated with higher mRNA expression levels of C3AR1 in lung tissue. In silico functional characterization of the asthma-associated SNPs also supported the contribution of C3AR1 and additional genes including SYNE1, LINGO2, and IFNG-AS1. This pooling-based GWAS in French Canadian adult women followed by lung eQTL mapping suggested C3AR1 as a functional locus associated with asthma. Additional susceptibility genes were suggested in this homogenous subgroup of asthma patients.


Assuntos
Asma/genética , Adulto , Asma/metabolismo , Canadá , Estudos de Casos e Controles , Feminino , França/etnologia , Predisposição Genética para Doença , Estudo de Associação Genômica Ampla , Técnicas de Genotipagem , Humanos , Pulmão/metabolismo , Pessoa de Meia-Idade , Polimorfismo de Nucleotídeo Único , Locos de Características Quantitativas , Adulto Jovem
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