publication . Article . 2016

Identifying regions of disease-related variants in admixed populations with the summation partition approach

Jonathan Auerbach; Michael Agne; Rachel Fan; Adeline Lo; Shaw-Hwa Lo; Tian Zheng; Pei Wang;
Open Access English
  • Published: 01 Oct 2016 Journal: BMC Proceedings, volume 10, issue S7 (issn: 1753-6561, Copyright policy)
  • Publisher: Springer Nature
Abstract
We propose a new method for identifying disease-related regions of single nucleotide variants in recently admixed populations. We use principal component analysis to derive both global and local ancestry information. We then use the summation partition approach to search for disease-related regions based on both rare variants and the local ancestral information of each region. We demonstrate this method using individuals with high systolic blood pressure from a sample of unrelated Mexican American subjects provided in the 19th Genetic Analysis Workshop.
Subjects
free text keywords: Proceedings, General Biochemistry, Genetics and Molecular Biology, General Medicine, Disease, High systolic blood pressure, Bioinformatics, Partition (number theory), Genetic analysis, Genetics, Principal component analysis, Biology, Genetic admixture
Funded by
NIH| Genetic Analysis of Common Diseases: An Evaluation
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01GM031575-22
  • Funding stream: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES

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