Open AccessApplication of a Novel Score Test for Genetic Association Incorporating Gene-Gene Interaction Suggests Functionality for Prostate Cancer Susceptibility Regions
Author(s) -
Julia Ciampa,
Meredith Yeager,
Kevin B. Jacobs,
Michael J. Thun,
Susan M. Gapstur,
Demetrius Albanês,
Jarmo Virtamo,
Stephanie J. Weinstein,
Edward Giovannucci,
Walter C. Willett,
Géraldine CancelTassin,
Olivier Cussenot,
Antoine Valéri,
David J. Hunter,
Robert N. Hoover,
Gilles Thomas,
Stephen J. Chanock,
Chris Holmes,
Nilanjan Chatterjee
Publication year - 2011
Publication title -
human heredity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.423
H-Index - 62
eISSN - 1423-0062
pISSN - 0001-5652
DOI - 10.1159/000331222
Subject(s) - prostate cancer , gene , genetics , biology , cancer , genetic association , association (psychology) , computational biology , single nucleotide polymorphism , genotype , psychology , psychotherapist
We introduce an innovative multilocus test for disease association. It is an extension of an existing score test that gains power over alternative methods by incorporating a parsimonious one-degree-of-freedom model for interaction. We use our method in applications designed to detect interactions that generate hypotheses about the functionality of prostate cancer (PRCA) susceptibility regions.