Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/10077| Title: | "SNP Snappy": A Strategy for Fast Genome-Wide Association Studies Fitting a Full Mixed Model | Contributor(s): | Meyer, Karin (author); Tier, Bruce (author) | Publication Date: | 2012 | Open Access: | Yes | DOI: | 10.1534/genetics.111.134841 |
Handle Link: | https://hdl.handle.net/1959.11/10077 | Abstract: | A strategy to reduce computational demands of genome-wide association studies fitting a mixed model is presented. Improvements are achieved by utilizing a large proportion of calculations that remain constant across the multiple analyses for individual markers involved, with estimates obtained without inverting large matrices. | Publication Type: | Journal Article | Source of Publication: | Genetics, 190(1), p. 275-277 | Publisher: | Genetics Society of America | Place of Publication: | United States of America | ISSN: | 1943-2631 0016-6731 |
Fields of Research (FoR) 2008: | 060408 Genomics 070201 Animal Breeding |
Fields of Research (FoR) 2020: | 310509 Genomics 300305 Animal reproduction and breeding |
Socio-Economic Objective (SEO) 2008: | 830301 Beef Cattle | Socio-Economic Objective (SEO) 2020: | 100401 Beef cattle | Peer Reviewed: | Yes | HERDC Category Description: | C1 Refereed Article in a Scholarly Journal |
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| Appears in Collections: | Animal Genetics and Breeding Unit (AGBU) Journal Article |
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