Estimating relationships between phenotypes and subjects drawn from admixed families

BMC Proceedings

Proceedings

Jennifer L. Kirk¹  Lisa A. Brown¹  Timothy Thornton¹  Matthew P. Conomos¹  John Ranola²  Jesse Raffa²  Elizabeth M. Blue³  Alejandro Q. Nato³  Ellen M. Wijsman⁴  Alice B. Popejoy⁵ 

[1] Department of Biostatistics, University of Washington, 98195, Seattle, WA, USA;Department of Statistics, University of Washington, 98195, Seattle, WA, USA;Division of Medical Genetics, Department of Medicine, University of Washington, 98195, Seattle, WA, USA;Division of Medical Genetics, Department of Medicine, University of Washington, 98195, Seattle, WA, USA;Department of Biostatistics, University of Washington, 98195, Seattle, WA, USA;Institute for Public Health Genetics, University of Washington, 98195, Seattle, WA, USA;

关键词: Systolic Blood Pressure;    Minor Allele Frequency;    Whole Genome Sequence;    Admix Population;    Whole Genome Sequence Data;   

DOI  :  10.1186/s12919-016-0056-3

来源: Springer

【 摘 要 】

BackgroundEstimating relationships among subjects in a sample, within family structures or caused by population substructure, is complicated in admixed populations. Inaccurate allele frequencies can bias both kinship estimates and tests for association between subjects and a phenotype. We analyzed the simulated and real family data from Genetic Analysis Workshop 19, and were aware of the simulation model.ResultsWe found that kinship estimation is more accurate when marker data include common variants whose frequencies are less variable across populations. Estimates of heritability and association vary with age for longitudinally measured traits. Accounting for local ancestry identified different true associations than those identified by a traditional approach. Principal components aid kinship estimation and tests for association, but their utility is influenced by the frequency of the markers used to generate them.ConclusionsAdmixed families can provide a powerful resource for detecting disease loci, as well as analytical challenges. Allele frequencies, although difficult to adequately estimate in admixed populations, have a strong impact on the estimation of kinship, ancestry, and association with phenotypes. Approaches that acknowledge population structure in admixed families outperform those which ignore it.

【 授权许可】

CC BY   
© The Author(s). 2016