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Genetic Epidemiology|May 10, 2012
Association testing for next-generation sequencing data using score statisticsLine Skotte, Thorfinn Sand Korneliussen, Anders Albrechtsen
Genetic Epidemiology|May 26, 2012
Inheritance model introduces differential bias in CNV calls between parents and offspringSulgi Kim, Steven P Millard, Chang-En Yu, et al.
Genetic Epidemiology|May 31, 2012
Unidentified genetic variants influence pancreatic cancer risk: an analysis of polygenic susceptibility in the PanScan studyBrandon L Pierce, Lin Tong, Peter Kraft, et al.
Genetic Epidemiology|January 1, 1994
Polymorphism in the promoter region of the apolipoprotein AI gene associated with differences in apolipoprotein AI levels: the European Atherosclerosis Research StudyP J Talmud, S Ye, S E Humphries
Genetic Epidemiology|January 1, 1993
Genotype at a major locus with large effects on apolipoprotein B levels predicts familial combined hyperlipidemiaG P Jarvik, T H Beaty, P R Gallagher, et al.
Genetic Epidemiology|January 1, 1993
Homozygous parent affected sib pair method for detecting disease predisposing variants: application to insulin dependent diabetes mellitusW P Robinson, J Barbosa, S S Rich, et al.
Genetic Epidemiology|January 1, 1997
Variation at the lipoprotein lipase and apolipoprotein AI-CIII gene loci are associated with fasting lipid and lipoprotein traits in a population sample from Iceland: interaction between genotype, gender, and smoking statusR E Peacock, A Temple, V Gudnason, et al.
Genetic Epidemiology|January 1, 1992
Pedigree analysis of blood pressure in subjects from rural Greece and relatives who migrated to Melbourne, AustraliaJ L Hopper, G T Macaskill, J W Powles, et al.
Genetic Epidemiology|December 30, 2009
Estimation of genotype relative risks from pedigree data by retrospective likelihoodsDaniel J Schaid, Shannon K McDonnell, Shaun M Riska, et al.
Genetic Epidemiology|January 22, 2010
The Gene, Environment Association Studies consortium (GENEVA): maximizing the knowledge obtained from GWAS by collaboration across studies of multiple conditionsMarilyn C Cornelis, Arpana Agrawal, John W Cole, et al.
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