Increased Efficiency of Case-Control Association Analysis by Using Allele-Sharing and Covariate Information

Journal article

Open access

Peer reviewed

Silke Schmidt, Michael A Schmidt, Xuejun Qin, Eden R Martin and Elizabeth R Hauser

Human heredity, Vol.65(3), pp.154-165

2007-12

PMCID: PMC2709298

PMID: 17934318

Abstract

Gene-environment interaction

Genetic heterogeneity

Linkage analysis

Ordered subset analysis

Original Paper

Quantitative trait locus

SIMLA

Study design

url

https://doi.org/10.1159/000109732View

Published (Version of record) Open

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Citation topics: 1 Clinical & Life Sciences; 1.189 Genome Studies; 1.189.455 Genome-Wide Association Studies
Web Of Science research areas: Genetics & Heredity
ESI research areas: Molecular Biology & Genetics

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Source: InCites

Title: Increased Efficiency of Case-Control Association Analysis by Using Allele-Sharing and Covariate Information
Creators: Silke Schmidt - Center for Human Genetics, Duke University Medical Center, Durham, N.C., USA
Michael A Schmidt - Center for Human Genetics, Duke University Medical Center, Durham, N.C., USA
Xuejun Qin - Center for Human Genetics, Duke University Medical Center, Durham, N.C., USA
Eden R Martin - Center for Human Genetics, Duke University Medical Center, Durham, N.C., USA
Elizabeth R Hauser - Center for Human Genetics, Duke University Medical Center, Durham, N.C., USA
Publication Details: Human heredity, Vol.65(3), pp.154-165
Publisher: S. Karger AG
Academic Unit: Miller School of Medicine; John P. Hussman Institute for Human Genomics; UMMG Dept of Human Genetics (Dr. John T. Macdonald Foundation)
Language: English
Resource Type: Journal article
PMID: 17934318
PMCID: PMC2709298
Record Identifier: 991031613640602976