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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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Autores principales: LeVan, Tricia D., Xiao, Peng, Kumar, Gaurav, Kupzyk, Kevin, Qiu, Fang, Klinkebiel, David, Eudy, James, Cowan, Kenneth, Berger, Ann M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611482/
https://www.ncbi.nlm.nih.gov/pubmed/31303884
http://dx.doi.org/10.5334/jcr.184
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author LeVan, Tricia D.
Xiao, Peng
Kumar, Gaurav
Kupzyk, Kevin
Qiu, Fang
Klinkebiel, David
Eudy, James
Cowan, Kenneth
Berger, Ann M.
author_facet LeVan, Tricia D.
Xiao, Peng
Kumar, Gaurav
Kupzyk, Kevin
Qiu, Fang
Klinkebiel, David
Eudy, James
Cowan, Kenneth
Berger, Ann M.
author_sort LeVan, Tricia D.
collection PubMed
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 pubmed-66114822019-07-14 Genetic Variants in Circadian Rhythm Genes and Self-Reported Sleep Quality in Women with Breast Cancer LeVan, Tricia D. Xiao, Peng Kumar, Gaurav Kupzyk, Kevin Qiu, Fang Klinkebiel, David Eudy, James Cowan, Kenneth Berger, Ann M. J Circadian Rhythms Research Article 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. Ubiquity Press 2019-07-01 /pmc/articles/PMC6611482/ /pubmed/31303884 http://dx.doi.org/10.5334/jcr.184 Text en Copyright: © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Article
LeVan, Tricia D.
Xiao, Peng
Kumar, Gaurav
Kupzyk, Kevin
Qiu, Fang
Klinkebiel, David
Eudy, James
Cowan, Kenneth
Berger, Ann M.
Genetic Variants in Circadian Rhythm Genes and Self-Reported Sleep Quality in Women with Breast Cancer
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 Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611482/
https://www.ncbi.nlm.nih.gov/pubmed/31303884
http://dx.doi.org/10.5334/jcr.184
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