Genetic Variants in Circadian Rhythm Genes and Self-Reported Sleep Quality in Women with Breast Cancer

Introduction: Women diagnosed with breast cancer (BC) are at increased risk of sleep deficiency. Approximately 30–60% of these women report poor sleep during and following surgery, chemotherapy, radiation therapy, and anti-estrogen therapy. The purpose of this study was to examine the relationship b...

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Main Authors: Tricia D. LeVan, Peng Xiao, Gaurav Kumar, Kevin Kupzyk, Fang Qiu, David Klinkebiel, James Eudy, Kenneth Cowan, Ann M. Berger
Format: Article
Language:English
Published: Ubiquity Press 2019-07-01
Series:Journal of Circadian Rhythms
Subjects:
Online Access:https://www.jcircadianrhythms.com/articles/184
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author Tricia D. LeVan
Peng Xiao
Gaurav Kumar
Kevin Kupzyk
Fang Qiu
David Klinkebiel
James Eudy
Kenneth Cowan
Ann M. Berger
author_facet Tricia D. LeVan
Peng Xiao
Gaurav Kumar
Kevin Kupzyk
Fang Qiu
David Klinkebiel
James Eudy
Kenneth Cowan
Ann M. Berger
author_sort Tricia D. LeVan
collection DOAJ
description Introduction: Women diagnosed with breast cancer (BC) are at increased risk of sleep deficiency. Approximately 30–60% of these women report poor sleep during and following surgery, chemotherapy, radiation therapy, and anti-estrogen therapy. The purpose of this study was to examine the relationship between genetic variation in circadian rhythm genes and self-reported sleep quality in women with BC. Methods: This cross-sectional study recruited women with a first diagnosis of breast cancer at five sites in Nebraska and South Dakota. Sixty women were included in the study. Twenty-six circadian genes were selected for exome sequencing using the Nextera Rapid Capture Expanded Exome kit. 414 variants had a minor allele frequency of ≥5% and were included in the exploratory analysis. The association between Pittsburgh Sleep Quality Index (PSQI) score and genetic variants was determined by two-sample t-test or ANOVA. Results: Twenty-five variants were associated with the PSQI score at p < 0.10, of which 19 were significant at p<0.05, although the associations did not reach statistical significance after adjustment for multiple comparisons. Variants associated with PSQI were from genes CSNK1D & E, SKP1, BHLHE40 & 41, NPAS2, ARNTL, MYRIP, KLHL30, TIMELESS, FBXL3, CUL1, PER1&2, RORB. Two genetic variants were synonymous or missense variants in the BHLHE40 and TIMELESS genes, respectively. Conclusions: These exploratory results demonstrate an association of genetic variants in circadian rhythm pathways with self-reported sleep in women with BC. Testing this association is warranted in a larger replication population.
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spelling doaj.art-eacab0d904c2464c8821f2ed184b7b8e2022-12-21T19:14:16ZengUbiquity PressJournal of Circadian Rhythms1740-33912019-07-0117110.5334/jcr.184157Genetic Variants in Circadian Rhythm Genes and Self-Reported Sleep Quality in Women with Breast CancerTricia D. LeVan0Peng Xiao1Gaurav Kumar2Kevin Kupzyk3Fang Qiu4David Klinkebiel5James Eudy6Kenneth Cowan7Ann M. Berger8University of Nebraska Medical CenterUniversity of Nebraska Medical CenterUniversity of Nebraska Medical CenterUniversity of Nebraska Medical CenterUniversity of Nebraska Medical CenterUniversity of Nebraska Medical CenterUniversity of Nebraska Medical CenterUniversity of Nebraska Medical CenterUniversity of Nebraska Medical CenterIntroduction: Women diagnosed with breast cancer (BC) are at increased risk of sleep deficiency. Approximately 30–60% of these women report poor sleep during and following surgery, chemotherapy, radiation therapy, and anti-estrogen therapy. The purpose of this study was to examine the relationship between genetic variation in circadian rhythm genes and self-reported sleep quality in women with BC. Methods: This cross-sectional study recruited women with a first diagnosis of breast cancer at five sites in Nebraska and South Dakota. Sixty women were included in the study. Twenty-six circadian genes were selected for exome sequencing using the Nextera Rapid Capture Expanded Exome kit. 414 variants had a minor allele frequency of ≥5% and were included in the exploratory analysis. The association between Pittsburgh Sleep Quality Index (PSQI) score and genetic variants was determined by two-sample t-test or ANOVA. Results: Twenty-five variants were associated with the PSQI score at p < 0.10, of which 19 were significant at p<0.05, although the associations did not reach statistical significance after adjustment for multiple comparisons. Variants associated with PSQI were from genes CSNK1D & E, SKP1, BHLHE40 & 41, NPAS2, ARNTL, MYRIP, KLHL30, TIMELESS, FBXL3, CUL1, PER1&2, RORB. Two genetic variants were synonymous or missense variants in the BHLHE40 and TIMELESS genes, respectively. Conclusions: These exploratory results demonstrate an association of genetic variants in circadian rhythm pathways with self-reported sleep in women with BC. Testing this association is warranted in a larger replication population.https://www.jcircadianrhythms.com/articles/184sleep deficiencysleep-wake disturbancesleep qualitycircadian genesgenetic variation
spellingShingle Tricia D. LeVan
Peng Xiao
Gaurav Kumar
Kevin Kupzyk
Fang Qiu
David Klinkebiel
James Eudy
Kenneth Cowan
Ann M. Berger
Genetic Variants in Circadian Rhythm Genes and Self-Reported Sleep Quality in Women with Breast Cancer
Journal of Circadian Rhythms
sleep deficiency
sleep-wake disturbance
sleep quality
circadian genes
genetic variation
title Genetic Variants in Circadian Rhythm Genes and Self-Reported Sleep Quality in Women with Breast Cancer
title_full Genetic Variants in Circadian Rhythm Genes and Self-Reported Sleep Quality in Women with Breast Cancer
title_fullStr Genetic Variants in Circadian Rhythm Genes and Self-Reported Sleep Quality in Women with Breast Cancer
title_full_unstemmed Genetic Variants in Circadian Rhythm Genes and Self-Reported Sleep Quality in Women with Breast Cancer
title_short Genetic Variants in Circadian Rhythm Genes and Self-Reported Sleep Quality in Women with Breast Cancer
title_sort genetic variants in circadian rhythm genes and self reported sleep quality in women with breast cancer
topic sleep deficiency
sleep-wake disturbance
sleep quality
circadian genes
genetic variation
url https://www.jcircadianrhythms.com/articles/184
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