Open AccessPathway Analysis of Renal Cell Carcinoma Genome-Wide Association Studies Identifies Novel Associations
Author(s) -
Mark P. Purdue,
Lei Song,
Ghislaine Scélo,
Richard S. Houlston,
Xifeng Wu,
Lori C. Sakoda,
Khanh K. Thai,
Rebecca E. Graff,
Nathaniel Rothman,
Paul Brennan,
Stephen J. Chanock,
Kai Yu
Publication year - 2020
Publication title -
cancer epidemiology, biomarkers and prevention
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.234
H-Index - 192
eISSN - 1538-7755
pISSN - 1055-9965
DOI - 10.1158/1055-9965.epi-20-0472
Subject(s) - genome wide association study , bonferroni correction , genetic association , locus (genetics) , biology , heritability , genetics , single nucleotide polymorphism , multiple comparisons problem , missing heritability problem , quantitative trait locus , computational biology , bioinformatics , gene , genotype , statistics , mathematics
Much of the heritable risk of renal cell carcinoma (RCC) associated with common genetic variation is unexplained. New analytic approaches have been developed to increase the discovery of risk variants in genome-wide association studies (GWAS), including multi-locus testing through pathway analysis.