Non-additive effects of ACVR2A in preeclampsia in a Philippine population

Multiple interrelated pathways contribute to the pathogenesis of preeclampsia, and variants in susceptibility genes may play a role among Filipinos, an ethnically distinct group with high prevalence of the disease. The objective of this study was to examine the association between variants in matern...

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Bibliographic Details
Published in:BMC pregnancy and childbirth 2019-01, Vol.19 (1), p.11-11, Article 11
Main Authors: Amosco, Melissa D, Tavera, Gloria R, Villar, Van Anthony M, Naniong, Justin Michael A, David-Bustamante, Lara Marie G, Williams, Scott M, Jose, Pedro A, Palmes-Saloma, Cynthia P
Format: Article
Language:English
Subjects:
Activin Receptors, Type II - genetics
Adult
Age Factors
Algorithms
Angiogenesis
Association study
Blood pressure
Body Mass Index
Cardiovascular disease
Case-Control Studies
Diabetes
Female
Genes
Genetic Predisposition to Disease
Genomes
Genotype
Humans
Hypertension
Kidney diseases
Multifactor Dimensionality Reduction
Pathogenesis
Philippines
Polymorphism, Single Nucleotide
Pre-Eclampsia - ethnology
Pre-Eclampsia - genetics
Preeclampsia
Pregnancy
Proteins
Single nucleotide polymorphism
Statistical methods
Urine
Womens health
Young Adult
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Summary:Multiple interrelated pathways contribute to the pathogenesis of preeclampsia, and variants in susceptibility genes may play a role among Filipinos, an ethnically distinct group with high prevalence of the disease. The objective of this study was to examine the association between variants in maternal candidate genes and the development of preeclampsia in a Philippine population. A case-control study involving 29 single nucleotide polymorphisms (SNPs) in 21 candidate genes was conducted in 150 patients with preeclampsia (cases) and 175 women with uncomplicated normal pregnancies (controls). Genotyping for the GRK4 and DRD1 gene variants was carried out using the TaqMan Assay, and all other variants were assayed using the Sequenom MassARRAY Iplex Platform. PLINK was used for SNP association testing. Multilocus association analysis was performed using multifactor dimensionality reduction (MDR) analysis. Among the clinical factors, older age (P 
ISSN:1471-2393
1471-2393
DOI:10.1186/s12884-018-2152-z