Ancestry inference using principal component analysis and spatial analysis: a distance-based analysis to account for population substructure.

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Bibliographic Details
Title: Ancestry inference using principal component analysis and spatial analysis: a distance-based analysis to account for population substructure.
Authors: Byun J; Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, One Medical Center Drive, Lebanon, NH, 03756, USA., Han Y; Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, One Medical Center Drive, Lebanon, NH, 03756, USA., Gorlov IP; Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, One Medical Center Drive, Lebanon, NH, 03756, USA., Busam JA; Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, One Medical Center Drive, Lebanon, NH, 03756, USA., Seldin MF; Department of Biochemistry and Molecular Medicine, University of California Davis, Davis, CA, 95616, USA., Amos CI; Department of Biomedical Data Science, Dartmouth Geisel School of Medicine, One Medical Center Drive, Lebanon, NH, 03756, USA. Christopher.I.Amos@dartmouth.edu.
Source: BMC genomics [BMC Genomics] 2017 Oct 16; Vol. 18 (1), pp. 789. Date of Electronic Publication: 2017 Oct 16.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2164 (Electronic) Linking ISSN: 14712164 NLM ISO Abbreviation: BMC Genomics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2164
DOI:10.1186/s12864-017-4166-8