Format

Send to

Choose Destination
See comment in PubMed Commons below
Am J Hum Genet. 2006 Apr;78(4):713-20. Epub 2006 Feb 17.

The power to detect disease associations with mitochondrial DNA haplogroups.

Author information

1
Virginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, USA.

Abstract

Genetic variation of mitochondrial DNA (mtDNA) has been linked to a number of multifactorial diseases, but there is currently no tool available to predict the optimal size for these investigations. We used a simulation-based (Monte Carlo) permutation test to generate power curves for European mtDNA haplogroup studies, to derive a universal equation to enable power calculations for prospective studies across the globe, and to show that very large cohorts are required to reliably detect an association with complex human diseases. In some populations, geographical variation in haplogroup frequencies will prevent the reliable detection of subtle haplogroup associations with uncommon disorders.

PMID:
16532401
PMCID:
PMC1424681
DOI:
10.1086/502682
[Indexed for MEDLINE]
Free PMC Article
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 ...
    Support Center