Genome-wide linkage and association mapping of disease genes with the GAW14 simulated datasets

Kim Carter, Pamela Mccaskie, Lyle Palmer

Research output: Chapter in Book/Conference paperConference paperpeer-review

1 Citation (Scopus)

Abstract

We combined the results of whole-genome linkage and association analyses to determine which markers were most strongly associated with Kofendrerd Personality Disorder. Using replicate 1 from the Genetic Analysis Workshop 14 Aipotu, Karangar, Danacaa, and New York City simulated populations, we determined that several markers showed significant linkage and association with disease status. We used both SNP and microsatellite markers to determine patterns and chromosomal regions of markers. Three consistently associated markers were C01R0050, C03R0280, and C10R0882. Using generalized linear mixed models, we modelled the effect of the three predefined phenotypic categories on disease status and concluded that the phenotypes defining the "anxiety-related" category best predicted the outcome.
Original languageEnglish
Title of host publicationBMC Genetics
EditorsP. Newmark
Place of PublicationUnited Kingdom
PublisherBioMed Central
PagesS41
Volume6 (Suppl 1)
EditionNoordwijkerhout, Netherlands
ISBN (Print)14712156
DOIs
Publication statusPublished - 2005
EventGenome-wide linkage and association mapping of disease genes with the GAW14 simulated datasets - Noordwijkerhout, Netherlands
Duration: 1 Jan 2005 → …

Conference

ConferenceGenome-wide linkage and association mapping of disease genes with the GAW14 simulated datasets
Period1/01/05 → …

Fingerprint

Dive into the research topics of 'Genome-wide linkage and association mapping of disease genes with the GAW14 simulated datasets'. Together they form a unique fingerprint.

Cite this