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GWAS Study

Genetic Variations and Health-Related Quality of Life (HRQOL): A Genome-Wide Study Approach.

Adjei AA, Lopez CL, Schaid DJ et al.

33578652 PubMed ID
GWAS Study Type
1442 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

AA
Adjei AA
LC
Lopez CL
SD
Schaid DJ
SJ
Sloan JA
LJ
Le-Rademacher JG
LC
Loprinzi CL
NA
Norman AD
OJ
Olson JE
CF
Couch FJ
BA
Beutler AS
VC
Vachon CM
RK
Ruddy KJ
Chapter II

Abstract

Summary of the research findings

Health-related quality of life (HRQOL) is an important prognostic patient-reported outcome in oncology. Because prior studies suggest that HRQOL is, in part, heritable, we performed a GWAS to elucidate genetic factors associated with HRQOL in breast cancer survivors. Physical and mental HRQOL were measured via paper surveys that included the PROMIS-10 physical and mental health domain scales in 1442 breast cancer survivors participating in the Mayo Clinic Breast Disease Registry (MCBDR). In multivariable regression analyses, age and financial concerns were significantly associated with global physical health (age: p = 1.6 × 10-23; financial concerns: p = 4.8 × 10-40) and mental health (age: p = 3.5 × 10-7; financial concerns: p = 2.0 × 10-69). Chemotherapy was associated with worse global mental health (p = 0.01). In the GWAS, none of the SNPs reached the genome-wide association significance threshold of 5 × 10-8 for associations with either global physical or global mental health, however, a cluster of SNPs in SCN10A, particularly rs112718371, appeared to be linked to worse global physical health (p = 5.21 × 10-8). Additionally, SNPs in LMX1B, SGCD, PARP12 and SEMA5A were also moderately associated with worse physical and mental health (p < 10-6). These biologically plausible candidate SNPs warrant further study as possible predictors of HRQOL.

1,386 European ancestry individuals, 56 individuals

Chapter III

Study Statistics

Key metrics and study information

1442
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Chapter IV

AI-Generated Summary

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