Linkage Analysis with Dense SNP Maps in Isolated Populations | Zendy

Céline Bellenguez | Zendy; Carole Ober | Zendy; Catherine Bourgain | Zendy

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Linkage Analysis with Dense SNP Maps in Isolated Populations

Author(s) -

Céline Bellenguez,

Carole Ober,

Catherine Bourgain

Publication year - 2009

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 - 10.1159/000212501

Subject(s) - linkage disequilibrium , linkage (software) , single nucleotide polymorphism , genetics , biology , snp , population , genetic linkage , tag snp , microsatellite , snp array , computational biology , genotype , gene , allele , medicine , environmental health

SNP maps are becoming the gold standard for genetic markers, even for linkage analyses. However, because of the density of SNPs on most high throughput platforms, the resulting significant linkage disequilibrium (LD) can bias classical nonparametric multipoint linkage analyses. This problem may be even stronger in population isolates where LD can extend over larger distances and with a more stochastic pattern. We investigate the issue of linkage analysis with SNPs from the Affymetrix 500K GeneChip array in extended families from the isolated Hutterite population.

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