In search for the genetic basis of quality of life in healthy Swedish women

A GWAS study using the iCOGS Custom Genotyping Array

D. Schoormans, Hatef Darabi, Jingmei Li, Yvonne Brandberg, Mikael Eriksson, Koos H. Zwinderman, Mirjam A. G. Sprangers, Per Hall

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Abstract

Background
Quality of life (QoL) is increasingly measured in both research and clinical practice. QoL-assessments are built on a long, empirically-based, and stringent approach. There is ample evidence that QoL is, in part, heritable. We therefore performed a GWAS relating genetic variation to QoL in healthy females.
Methods
In 5,142 healthy females, background characteristics (e.g. demographic, clinical, lifestyle and psychological factors) and QoL by means of the EORTC QLQ-C30 were measured. Moreover, women were genotyped using a custom array including ~210,000 single nucleotide polymorphisms (SNPs). Initially, SNPs were related to each QoL-domain, by means of partially adjusted (controlling for age and population stratification) and fully adjusted (controlling for age, population stratification, and background characteristics) regression analyses. Additionally, gene-based analyses were performed relating the combined effect of SNPs within each gene to QoL using the statistical software package VEGAS.
Results
None of the associations between QoL and genetic variation (i.e. individual SNPs and genes) reached the bonferroni corrected significance level.
Conclusion
Reasons for a lack of association between genetic markers and QoL could be low variation in QoL-scores; selecting genetic markers not tagging QoL; or that the genetic effect that impacts one’s QoL is mediated through biological pathways rather than the effect of single SNPs or genes. Therefore, we opt for a pathway-based or system biology approach as a complementary and powerful approach to analyze the combined effect of genes and their biological implications in future studies focusing on QoL-issues.
Original languageEnglish
Article numbere0140563
JournalPLoS ONE
Volume10
Issue number10
DOIs
Publication statusPublished - 2015

Cite this

Schoormans, D. ; Darabi, Hatef ; Li, Jingmei ; Brandberg, Yvonne ; Eriksson, Mikael ; Zwinderman, Koos H. ; Sprangers, Mirjam A. G. ; Hall, Per. / In search for the genetic basis of quality of life in healthy Swedish women : A GWAS study using the iCOGS Custom Genotyping Array. In: PLoS ONE. 2015 ; Vol. 10, No. 10.
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title = "In search for the genetic basis of quality of life in healthy Swedish women: A GWAS study using the iCOGS Custom Genotyping Array",
abstract = "BackgroundQuality of life (QoL) is increasingly measured in both research and clinical practice. QoL-assessments are built on a long, empirically-based, and stringent approach. There is ample evidence that QoL is, in part, heritable. We therefore performed a GWAS relating genetic variation to QoL in healthy females.MethodsIn 5,142 healthy females, background characteristics (e.g. demographic, clinical, lifestyle and psychological factors) and QoL by means of the EORTC QLQ-C30 were measured. Moreover, women were genotyped using a custom array including ~210,000 single nucleotide polymorphisms (SNPs). Initially, SNPs were related to each QoL-domain, by means of partially adjusted (controlling for age and population stratification) and fully adjusted (controlling for age, population stratification, and background characteristics) regression analyses. Additionally, gene-based analyses were performed relating the combined effect of SNPs within each gene to QoL using the statistical software package VEGAS.ResultsNone of the associations between QoL and genetic variation (i.e. individual SNPs and genes) reached the bonferroni corrected significance level.ConclusionReasons for a lack of association between genetic markers and QoL could be low variation in QoL-scores; selecting genetic markers not tagging QoL; or that the genetic effect that impacts one’s QoL is mediated through biological pathways rather than the effect of single SNPs or genes. Therefore, we opt for a pathway-based or system biology approach as a complementary and powerful approach to analyze the combined effect of genes and their biological implications in future studies focusing on QoL-issues.",
author = "D. Schoormans and Hatef Darabi and Jingmei Li and Yvonne Brandberg and Mikael Eriksson and Zwinderman, {Koos H.} and Sprangers, {Mirjam A. G.} and Per Hall",
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language = "English",
volume = "10",
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In search for the genetic basis of quality of life in healthy Swedish women : A GWAS study using the iCOGS Custom Genotyping Array. / Schoormans, D.; Darabi, Hatef; Li, Jingmei; Brandberg, Yvonne; Eriksson, Mikael; Zwinderman, Koos H.; Sprangers, Mirjam A. G.; Hall, Per.

In: PLoS ONE, Vol. 10, No. 10, e0140563, 2015.

Research output: Contribution to journalArticleScientificpeer-review

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T1 - In search for the genetic basis of quality of life in healthy Swedish women

T2 - A GWAS study using the iCOGS Custom Genotyping Array

AU - Schoormans, D.

AU - Darabi, Hatef

AU - Li, Jingmei

AU - Brandberg, Yvonne

AU - Eriksson, Mikael

AU - Zwinderman, Koos H.

AU - Sprangers, Mirjam A. G.

AU - Hall, Per

PY - 2015

Y1 - 2015

N2 - BackgroundQuality of life (QoL) is increasingly measured in both research and clinical practice. QoL-assessments are built on a long, empirically-based, and stringent approach. There is ample evidence that QoL is, in part, heritable. We therefore performed a GWAS relating genetic variation to QoL in healthy females.MethodsIn 5,142 healthy females, background characteristics (e.g. demographic, clinical, lifestyle and psychological factors) and QoL by means of the EORTC QLQ-C30 were measured. Moreover, women were genotyped using a custom array including ~210,000 single nucleotide polymorphisms (SNPs). Initially, SNPs were related to each QoL-domain, by means of partially adjusted (controlling for age and population stratification) and fully adjusted (controlling for age, population stratification, and background characteristics) regression analyses. Additionally, gene-based analyses were performed relating the combined effect of SNPs within each gene to QoL using the statistical software package VEGAS.ResultsNone of the associations between QoL and genetic variation (i.e. individual SNPs and genes) reached the bonferroni corrected significance level.ConclusionReasons for a lack of association between genetic markers and QoL could be low variation in QoL-scores; selecting genetic markers not tagging QoL; or that the genetic effect that impacts one’s QoL is mediated through biological pathways rather than the effect of single SNPs or genes. Therefore, we opt for a pathway-based or system biology approach as a complementary and powerful approach to analyze the combined effect of genes and their biological implications in future studies focusing on QoL-issues.

AB - BackgroundQuality of life (QoL) is increasingly measured in both research and clinical practice. QoL-assessments are built on a long, empirically-based, and stringent approach. There is ample evidence that QoL is, in part, heritable. We therefore performed a GWAS relating genetic variation to QoL in healthy females.MethodsIn 5,142 healthy females, background characteristics (e.g. demographic, clinical, lifestyle and psychological factors) and QoL by means of the EORTC QLQ-C30 were measured. Moreover, women were genotyped using a custom array including ~210,000 single nucleotide polymorphisms (SNPs). Initially, SNPs were related to each QoL-domain, by means of partially adjusted (controlling for age and population stratification) and fully adjusted (controlling for age, population stratification, and background characteristics) regression analyses. Additionally, gene-based analyses were performed relating the combined effect of SNPs within each gene to QoL using the statistical software package VEGAS.ResultsNone of the associations between QoL and genetic variation (i.e. individual SNPs and genes) reached the bonferroni corrected significance level.ConclusionReasons for a lack of association between genetic markers and QoL could be low variation in QoL-scores; selecting genetic markers not tagging QoL; or that the genetic effect that impacts one’s QoL is mediated through biological pathways rather than the effect of single SNPs or genes. Therefore, we opt for a pathway-based or system biology approach as a complementary and powerful approach to analyze the combined effect of genes and their biological implications in future studies focusing on QoL-issues.

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