A pedigree partitioning approach to quantitative trait loci mapping of IgE serum level in the GAW12 Hutterite data

V. S. Pankratz, S. J. Iturria

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

We present a semi-automatic method that uses principles from factor analysis to subdivide large pedigrees into smaller, non-overlapping sub-pedigrees. Application of our method to the Genetic Analysis Workshop 12 Hutterite pedigree yielded 12 sub-pedigrees that were used to carry out a genome-wide linkage scan for IgE serum level in SOLAR. Two-point analyses resulted in strong evidence for linkage to two marker loci on chromosome 1, D1S3723 (lod = 3.70) and D1S534 (lod = 3.58). Multipoint analysis resulted in a maximum lod of 4.58 on chromosome 1 at 143 cM. After extending the two pedigrees that contributed the most evidence for linkage, the maximum lod score decreased to 4.18, with most of the evidence for linkage due to a single large sub-pedigree.

Original languageEnglish (US)
JournalGenetic Epidemiology
Volume21
Issue numberSUPPL. 1
StatePublished - 2001

Fingerprint

Quantitative Trait Loci
Pedigree
Immunoglobulin E
Serum
Chromosomes, Human, Pair 1
Lod Score
Statistical Factor Analysis
Genome
Education

Keywords

  • Cluster analysis
  • Factor analysis
  • Quantitative trait linkage analysis
  • Variance components

ASJC Scopus subject areas

  • Epidemiology
  • Genetics(clinical)

Cite this

A pedigree partitioning approach to quantitative trait loci mapping of IgE serum level in the GAW12 Hutterite data. / Pankratz, V. S.; Iturria, S. J.

In: Genetic Epidemiology, Vol. 21, No. SUPPL. 1, 2001.

Research output: Contribution to journalArticle

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