Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Am J Hum Genet. 2006 Jun;78(6):903-13. Epub 2006 Apr 7.

Multilocus association mapping using variable-length Markov chains.

Author information

  • Department of Statistics, The University of Auckland, Auckland 92019, New Zealand. browning@stat.auckland.ac.nz

Abstract

I propose a new method for association-based gene mapping that makes powerful use of multilocus data, is computationally efficient, and is straightforward to apply over large genomic regions. The approach is based on the fitting of variable-length Markov chain models, which automatically adapt to the degree of linkage disequilibrium (LD) between markers to create a parsimonious model for the LD structure. Edges of the fitted graph are tested for association with trait status. This approach can be thought of as haplotype testing with sophisticated windowing that accounts for extent of LD to reduce degrees of freedom and number of tests while maximizing information. I present analyses of two published data sets that show that this approach can have better power than single-marker tests or sliding-window haplotypic tests.

PMID:
16685642
[PubMed - indexed for MEDLINE]
PMCID:
PMC1474089
Free PMC Article

Images from this publication.See all images (7)Free text

Figure  1
Figure  2
Figure  3
Figure  4
Figure  5
Figure  6
Figure  7
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science Icon for PubMed Central
    Loading ...
    Write to the Help Desk