Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0118292
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dc.titleThe genetic basis of quality of life in healthy Swedish women: A candidate gene approach
dc.contributor.authorSchoormans D.
dc.contributor.authorLi J.
dc.contributor.authorDarabi H.
dc.contributor.authorBrandberg Y.
dc.contributor.authorSprangers M.A.G.
dc.contributor.authorEriksson M.
dc.contributor.authorZwinderman K.H.
dc.contributor.authorHall P.
dc.date.accessioned2019-11-07T05:01:52Z
dc.date.available2019-11-07T05:01:52Z
dc.date.issued2015
dc.identifier.citationSchoormans 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
dc.identifier.issn19326203
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/161745
dc.description.abstractBackground: 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.
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20191101
dc.subjectadult
dc.subjectaged
dc.subjectArticle
dc.subjectcognition
dc.subjectcomputer program
dc.subjectdemography
dc.subjectfemale
dc.subjectgenetic predisposition
dc.subjectgenetic variability
dc.subjectgenotype
dc.subjecthuman
dc.subjectlifestyle
dc.subjectpsychological aspect
dc.subjectquality of life
dc.subjectsingle nucleotide polymorphism
dc.subjectSwedish citizen
dc.subjectvery elderly
dc.subjectallele
dc.subjectbiology
dc.subjectCaucasian
dc.subjectchromosome map
dc.subjectgenetic association
dc.subjectgenetics
dc.subjecthealth status
dc.subjecthealth survey
dc.subjectmiddle aged
dc.subjectmolecular genetics
dc.subjectquantitative trait locus
dc.subjectrisk factor
dc.subjectSweden
dc.subjectwomen's health
dc.subjectAdult
dc.subjectAged
dc.subjectAlleles
dc.subjectChromosome Mapping
dc.subjectComputational Biology
dc.subjectEuropean Continental Ancestry Group
dc.subjectFemale
dc.subjectGenetic Association Studies
dc.subjectGenome-Wide Association Study
dc.subjectGenotype
dc.subjectHealth Status
dc.subjectHumans
dc.subjectLife Style
dc.subjectMiddle Aged
dc.subjectMolecular Sequence Annotation
dc.subjectPolymorphism, Single Nucleotide
dc.subjectPublic Health Surveillance
dc.subjectQuality of Life
dc.subjectQuantitative Trait Loci
dc.subjectRisk Factors
dc.subjectSweden
dc.subjectWomen's Health
dc.typeArticle
dc.contributor.departmentSURGERY
dc.description.doi10.1371/journal.pone.0118292
dc.description.sourcetitlePLoS ONE
dc.description.volume10
dc.description.issue2
dc.description.pagee0118292
dc.published.statePublished
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