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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Ubiquity Press
2019-07-01
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Series: | Journal of Circadian Rhythms |
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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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id | doaj.art-eacab0d904c2464c8821f2ed184b7b8e |
institution | Directory Open Access Journal |
issn | 1740-3391 |
language | English |
last_indexed | 2024-12-21T05:41:10Z |
publishDate | 2019-07-01 |
publisher | Ubiquity Press |
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series | Journal of Circadian Rhythms |
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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