Dimension Reduction Using Local Principal Components for Regression-Based Multi-SNP Analysis in 1000 Genomes and the Canadian Longitudinal Study on Aging (CLSA).

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Title: Dimension Reduction Using Local Principal Components for Regression-Based Multi-SNP Analysis in 1000 Genomes and the Canadian Longitudinal Study on Aging (CLSA).
Authors: Yavartanoo F; Department of Mathematics Education, Seoul National University, Seoul, South Korea., Brossard M; Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada., Bull SB; Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada.; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada., Paterson AD; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.; Program in Genetics & Genome Biology, Hospital for Sick Children Research Institute, Toronto, Canada., Yoo YJ; Department of Mathematics Education, Seoul National University, Seoul, South Korea.
Source: Genetic epidemiology [Genet Epidemiol] 2025 Apr; Vol. 49 (3), pp. e70005.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 8411723 Publication Model: Print Cited Medium: Internet ISSN: 1098-2272 (Electronic) Linking ISSN: 07410395 NLM ISO Abbreviation: Genet Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1098-2272
DOI:10.1002/gepi.70005