Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0118292
Title: The genetic basis of quality of life in healthy Swedish women: A candidate gene approach
Authors: Schoormans D.
Li J. 
Darabi H.
Brandberg Y.
Sprangers M.A.G.
Eriksson M.
Zwinderman K.H.
Hall P.
Keywords: adult
aged
Article
cognition
computer program
demography
female
genetic predisposition
genetic variability
genotype
human
lifestyle
psychological aspect
quality of life
single nucleotide polymorphism
Swedish citizen
very elderly
allele
biology
Caucasian
chromosome map
genetic association
genetics
health status
health survey
middle aged
molecular genetics
quantitative trait locus
risk factor
Sweden
women's health
Adult
Aged
Alleles
Chromosome Mapping
Computational Biology
European Continental Ancestry Group
Female
Genetic Association Studies
Genome-Wide Association Study
Genotype
Health Status
Humans
Life Style
Middle Aged
Molecular Sequence Annotation
Polymorphism, Single Nucleotide
Public Health Surveillance
Quality of Life
Quantitative Trait Loci
Risk Factors
Sweden
Women's Health
Issue Date: 2015
Citation: Schoormans D., Li J., Darabi H., Brandberg Y., Sprangers M.A.G., Eriksson M., Zwinderman K.H., Hall P. (2015). The genetic basis of quality of life in healthy Swedish women: A candidate gene approach. PLoS ONE 10 (2) : e0118292. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0118292
Rights: Attribution 4.0 International
Abstract: Background: Quality of life (QoL) is an increasingly important parameter in clinical practice as it predicts mortality and poor health outcomes. It is hypothesized that one may have a genetic predisposition for QoL. We therefore related 139 candidate genes, selected through a literature search, to QoL in healthy females. Methods: In 5,142 healthy females, background characteristics (i.e. demographic, clinical, lifestyle, and psychological factors) were assessed. QoL was measured by the EORTC QLQ-C30, which consists of 15 domains. For all women genotype information was available. For each candidate gene, single nucleotide polymorphisms (SNPs) were identified based on their functional (n = 2,663) and physical annotation (n = 10,649). SNPs were related to each QoL-domain, while controlling for background characteristics and population stratification. Finally, gene-based analyses were performed relating the combined effect of 10,649 SNPs (selected based on physical annotation) for each gene, to QoL using the statistical software package VEGAS. Results: Overall, we found no relation between genetic variations (SNPs and genes) and 14 out of 15 QoL-domains. The strongest association was found between cognitive functioning and the top SNP rs1468951 (p = 1.21E-05) in the GSTZ1 gene. Furthermore, results of the gene-based test showed that the combined effect of 11 SNPs within the GSTZ1 gene is significantly associated with cognitive functioning (p = 2.60E-05). Conclusion: If validated, the involvement of GSTZ1 in cognitive functioning underscores its heritability which is likely the result of differences in the dopamine pathway, as GSTZ1 contributes to the equilibrium between dopamine and its neurotoxic metabolites via the glutathione redox cycle. © 2015 Schoormans et al.
Source Title: PLoS ONE
URI: https://scholarbank.nus.edu.sg/handle/10635/161745
ISSN: 19326203
DOI: 10.1371/journal.pone.0118292
Rights: Attribution 4.0 International
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