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

Authors :
Tricia D. LeVan
Peng Xiao
Gaurav Kumar
Kevin Kupzyk
Fang Qiu
David Klinkebiel
James Eudy
Kenneth Cowan
Ann M. Berger
Source :
Journal of Circadian Rhythms, Vol 17, Iss 1 (2019)
Publication Year :
2019
Publisher :
Ubiquity Press, 2019.

Abstract

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

Details

Language :
English
ISSN :
17403391
Volume :
17
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Circadian Rhythms
Publication Type :
Academic Journal
Accession number :
edsdoj.b0d904c2464c8821f2ed184b7b8e
Document Type :
article
Full Text :
https://doi.org/10.5334/jcr.184