Genome-wide association and functional annotation analyses reveal candidate genes and pathways associated with various ewe longevity indicators in U.S. Katahdin sheep.
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| Title: | Genome-wide association and functional annotation analyses reveal candidate genes and pathways associated with various ewe longevity indicators in U.S. Katahdin sheep. |
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| Authors: | Pinto LFB; Department of Animal Science, Federal University of Bahia, Salvador, Brazil.; Department of Animal Sciences, Purdue University, West Lafayette, IN, United States., Lewis RM; Department of Animal Science, University of Nebraska-Lincoln, Lincoln, NE, United States., Rocha AO; Department of Animal Sciences, Purdue University, West Lafayette, IN, United States., Freking BA; United States Department of Agriculture - Agricultural Research Service, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, NE, United States., Murphy TW; United States Department of Agriculture - Agricultural Research Service, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, NE, United States., Wilson CS; United States Department of Agriculture - Agricultural Research Service, Range Sheep Production Efficiency Research Unit, Dubois, ID, United States., Nilson SM; Department of Animal Science, University of Nebraska-Lincoln, Lincoln, NE, United States., Burke JM; United States Department of Agriculture - Agricultural Research Service, Dale Bumpers Small Farms Research Center, Booneville, AR, United States., Brito LF; Department of Animal Sciences, Purdue University, West Lafayette, IN, United States. |
| Source: | Frontiers in genetics [Front Genet] 2025 Jul 03; Vol. 16, pp. 1600587. Date of Electronic Publication: 2025 Jul 03 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-8021 |
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| DOI: | 10.3389/fgene.2025.1600587 |
