ArticlePediatric cardiology2016
Association Between Single Nucleotide Polymorphisms in NFATC1 Signaling Pathway Genes and Susceptibility to Congenital Heart Disease in the Chinese Population.
Article in Pediatric cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- The role of primary cilia in congenital heart defect-associated neurological impairments.Frontiers in genetics · 2024Review
- miR-1183 Is a Key Marker of Remodeling upon Stretch and Tachycardia in Human Myocardium.International journal of molecular sciences · 2022Article
- Association ofBalkan journal of medical genetics : BJMG · 2021Article
- A Novel MEF2C Loss-of-Function Mutation Associated with Congenital Double Outlet Right Ventricle.Pediatric cardiology · 2018Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The nuclear factor of activated T lymphocytes (NFATC1) signaling has been demonstrated to play important roles in cardiac valve and septal development. Genetic variants in genes involved in NFATC1 signaling may affect their expression and promote the formation of congenital heart disease (CHD). The goal of this study was to investigate the associations of single nucleotide polymorphism (SNP) in seven genes (NFATC1, VEGFR, VEGF, RANKL, FGFR1, BCL-6 and ZNRD1) with the risk of CHD. Twenty-nine polymorphisms were genotyped by using MassARRAY RS1000 platform in 277 CHD child patients and 293 controls from the Henan Province in China. Fours SNPs were excluded for the association analysis because of deviation from the Hardy-Weinberg equilibrium. Of the 25 SNPs, only two were found to be significantly associated with increased CHD risk after Bonferroni correction (RANKL, rs4531631: homozygous, AA vs. GG; OR 2.38, 95 % CI 1.40-4.07, p = 0.001; recessive, AA vs. AG + GG; OR 2.54, 95 % CI 1.53-4.22, p = 0.0003; FGFR1, rs13317: recessive, CC vs. CT + TT; OR 2.06, 95 % CI 1.30-3.25, p = 0.00196). Our findings suggest rs4531631 and rs13317 may be potential biomarkers for genetic diagnosis and treatment of CHD.
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