Dufresne et al. BMC Proceedings 2014, 8(Suppl 1):S103 http://www.biomedcentral.com/1753-6561/8/S1/S103
PROCEEDINGS
Open Access
Pathway analysis for genetic association studies: to do, or not to do? That is the question Line Dufresne1, Karim Oualkacha2, Vincenzo Forgetta3, Celia MT Greenwood1,3,4* From Genetic Analysis Workshop 18 Stevenson, WA, USA. 13-17 October 2012
Abstract In Genetic Analysis Workshop 18 data, we used a 3-stage approach to explore the benefits of pathway analysis in improving a model to predict 2 diastolic blood pressure phenotypes as a function of genetic variation. At stage 1, gene-based tests of association in family data of approximately 800 individuals found over 600 genes associated at p
PROCEEDINGS
Open Access
Pathway analysis for genetic association studies: to do, or not to do? That is the question Line Dufresne1, Karim Oualkacha2, Vincenzo Forgetta3, Celia MT Greenwood1,3,4* From Genetic Analysis Workshop 18 Stevenson, WA, USA. 13-17 October 2012
Abstract In Genetic Analysis Workshop 18 data, we used a 3-stage approach to explore the benefits of pathway analysis in improving a model to predict 2 diastolic blood pressure phenotypes as a function of genetic variation. At stage 1, gene-based tests of association in family data of approximately 800 individuals found over 600 genes associated at p
