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A genome-wide association study of variations in maternal cardiometabolic genes and risk of placental abruption.

ABSTRACT: Accumulating evidence suggests that placental abruption has a complex multifactorial pathogenesis that involves cardiovascular risk and metabolic dysfunction. However, comprehensive assessment of variations in genes involved in cardiometabolic traits associated with the risk of placental abruption is lacking. We conducted a case-control study investigating associations of variations in maternal cardiometabolic genes (characterized using 217,697 SNPs on the Illumina Cardio-Metabo Chip) with risk of placental abruption. A total of 253 abruption cases and 258 controls were selected from among participants enrolled in the Peruvian Abruptio Placentae Epidemiology Study in Lima, Peru. In the genome-wide association analyses, top hits did not surpass genome-wide significance. However, we observed suggestive associations of placental abruption with several SNPs, including SNPs in SMAD2 (P-value=1.88e-6), MIR17HG (P-value=7.8e-6], and DGKB (P-value=8.35e-6] loci. In candidate gene analyses, we observed associations of variations in a priori selected genes involved in coagulation, rennin-angiotensin, angiogenesis, inflammation, and B-vitamin metabolism with the risk of abruption. Our study suggests that variations in maternal cardiovascular and metabolic genes may be associated with risk of placental abruption. Future studies with large sample sizes are warranted.

SUBMITTER: Moore A

PROVIDER: S-EPMC3508543 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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A genome-wide association study of variations in maternal cardiometabolic genes and risk of placental abruption.

Moore Amy A Enquobahrie Daniel A DA Sanchez Sixto E SE Ananth Cande V CV Pacora Percy N PN Williams Michelle A MA

International journal of molecular epidemiology and genetics 20121115 4

Accumulating evidence suggests that placental abruption has a complex multifactorial pathogenesis that involves cardiovascular risk and metabolic dysfunction. However, comprehensive assessment of variations in genes involved in cardiometabolic traits associated with the risk of placental abruption is lacking. We conducted a case-control study investigating associations of variations in maternal cardiometabolic genes (characterized using 217,697 SNPs on the Illumina Cardio-Metabo Chip) with risk ...[more]

PMID: 23205182

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Project description:While available evidence supports the role of genetics in the pathogenesis of placental abruption (PA), PA-related placental genome variations and maternal-placental genetic interactions have not been investigated. Maternal blood and placental samples collected from participants in the Peruvian Abruptio Placentae Epidemiology study were genotyped using Illumina's Cardio-Metabochip platform. We examined 118,782 genome-wide SNPs and 333 SNPs in 32 candidate genes from mitochondrial biogenesis and oxidative phosphorylation pathways in placental DNA from 280 PA cases and 244 controls. We assessed maternal-placental interactions in the candidate gene SNPS and two imprinted regions (IGF2/H19 and C19MC). Univariate and penalized logistic regression models were fit to estimate odds ratios. We examined the combined effect of multiple SNPs on PA risk using weighted genetic risk scores (WGRS) with repeated ten-fold cross-validations. A multinomial model was used to investigate maternal-placental genetic interactions. In placental genome-wide and candidate gene analyses, no SNP was significant after false discovery rate correction. The top genome-wide association study (GWAS) hits were rs544201, rs1484464 (CTNNA2), rs4149570 (TNFRSF1A) and rs13055470 (ZNRF3) (p-values: 1.11e-05 to 3.54e-05). The top 200 SNPs of the GWAS overrepresented genes involved in cell cycle, growth and proliferation. The top candidate gene hits were rs16949118 (COX10) and rs7609948 (THRB) (p-values: 6.00e-03 and 8.19e-03). Participants in the highest quartile of WGRS based on cross-validations using SNPs selected from the GWAS and candidate gene analyses had a 8.40-fold (95% CI: 5.8-12.56) and a 4.46-fold (95% CI: 2.94-6.72) higher odds of PA compared to participants in the lowest quartile. We found maternal-placental genetic interactions on PA risk for two SNPs in PPARG (chr3:12313450 and chr3:12412978) and maternal imprinting effects for multiple SNPs in the C19MC and IGF2/H19 regions. Variations in the placental genome and interactions between maternal-placental genetic variations may contribute to PA risk. Larger studies may help advance our understanding of PA pathogenesis.

Dataset Information

A genome-wide association study of variations in maternal cardiometabolic genes and risk of placental abruption.

Publications

A genome-wide association study of variations in maternal cardiometabolic genes and risk of placental abruption.

Similar Datasets

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