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020 ▼a 9780438030572
035 ▼a (MiAaPQ)AAI10188280
035 ▼a (MiAaPQ)umn:16851
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 575
1001 ▼a Schultz, Nichol Elizabeth.
24510 ▼a Characterization of Equine Metabolic Syndrome and Mapping of Candidate Genetic Loci.
260 ▼a [S.l.]: ▼b University of Minnesota., ▼c 2016.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2016.
300 ▼a 375 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Advisers: James R. Mickelson
5021 ▼a Thesis (Ph.D.)--University of Minnesota, 2016.
520 ▼a Equine metabolic syndrome (EMS) is a clustering of clinical signs associated with increased risk of laminitis, a potentially life-threatening condition of the foot. Similar to human metabolic syndrome (MetS), generalized and/or regional adiposit
520 ▼a Chapter 2 details the largest-ever epidemiological investigation of EMS in which 11 metabolic traits were measured in >600 horses and ponies from 166 farms. The use of multivariate, multilevel regression modeling allowed, for the first time, qua
520 ▼a Differences in the incretin response may also contribute to individual trait variation. The incretin response, defined as the difference in insulinemic responses between an oral and intravenous glucose challenge, is controlled by intestinal secr
520 ▼a In Chapter 4, an improved linear mixed model for mapping polygenic traits in a population with familial relationships similar to that in many equine GWAS was developed and validated. The model incorporates a Bayesian variable selection method to
590 ▼a School code: 0130.
650 4 ▼a Genetics.
650 4 ▼a Animal diseases.
650 4 ▼a Statistics.
690 ▼a 0369
690 ▼a 0476
690 ▼a 0463
71020 ▼a University of Minnesota. ▼b Comparative and Molecular Biosciences.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0130
791 ▼a Ph.D.
792 ▼a 2016
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14996465 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033