Idioma:

Use of Unlinked Genetic Markers to Detect Population Stratification in Association Studies

Pritchard, Jonathan K. ; Rosenberg, Noah A.

American journal of human genetics, 1999-07, Vol.65 (1), p.220-228 [Periódico revisado por pares]

Chicago, IL: Elsevier Inc

Texto completo disponível

Citações Citado por

Enviar para

Título:
Use of Unlinked Genetic Markers to Detect Population Stratification in Association Studies
Autor: Pritchard, Jonathan K. ; Rosenberg, Noah A.
Assuntos: Alleles ; Biological and medical sciences ; Case control ; Case-Control Studies ; Fundamental and applied biological sciences. Psychology ; Genetic Linkage ; Genetic Markers ; Genetics of eukaryotes. Biological and molecular evolution ; Genotype ; Human ; Humans ; Linkage disequilibrium mapping ; Models, Genetic ; Population admixture ; Population genetics, reproduction patterns ; Research Design ; Stratified sampling ; TDT ; Unrelated controls
É parte de: American journal of human genetics, 1999-07, Vol.65 (1), p.220-228
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: We examine the issue of population stratification in association-mapping studies. In case-control studies of association, population subdivision or recent admixture of populations can lead to spurious associations between a phenotype and unlinked candidate loci. Using a model of sampling from a structured population, we show that if population stratification exists, it can be detected by use of unlinked marker loci. We show that the case-control–study design, using unrelated control individuals, is a valid approach for association mapping, provided that marker loci unlinked to the candidate locus are included in the study, to test for stratification. We suggest guidelines as to the number of unlinked marker loci to use.
Editor: Chicago, IL: Elsevier Inc
Idioma: Inglês

Links

Voltar para lista de resultados

Realização: Logos de Redes Sociais:

Use of Unlinked Genetic Markers to Detect Population Stratification in Association Studies

Pritchard, Jonathan K. ; Rosenberg, Noah A.

Chicago, IL: Elsevier Inc

Buscando em bases de dados remotas. Favor aguardar.