Literature DB >> 16093715

International Equine Gene Mapping Workshop Report: a comprehensive linkage map constructed with data from new markers and by merging four mapping resources.

M C T Penedo1, L V Millon, D Bernoco, E Bailey, M Binns, G Cholewinski, N Ellis, J Flynn, B Gralak, A Guthrie, T Hasegawa, G Lindgren, L A Lyons, K H Røed, J E Swinburne, T Tozaki.   

Abstract

A comprehensive male linkage map was generated by adding 359 new, informative microsatellites to the International Equine Gene Map half-sibling reference families and by combining genotype data from three independent mapping resources: a full sibling family created at the Animal Health Trust in Newmarket, United Kingdom, eight half-sibling families from Sweden and two half-sibling families from the University of California, Davis. Because the combined data were derived primarily from half-sibling families, only autosomal markers were analyzed. The map was constructed from a total of 766 markers distributed on the 31 equine chromosomes. It has a higher marker density than that of previously reported maps, with 626 markers linearly ordered and 140 other markers assigned to a chromosomal region. Fifty-nine markers (7%) failed to meet the criteria for statistical evidence of linkage and remain unassigned. The map spans 3,740 cM with an average distance of 6.3 cM between markers. Fifty-five percent of the intervals are < or = 5 cM and only 3% > or = 20 cM. The present map demonstrates the cohesiveness of the different data sets and provides a single resource for genome scan analyses and integration with the radiation hybrid map.

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Year:  2005        PMID: 16093715     DOI: 10.1159/000085664

Source DB:  PubMed          Journal:  Cytogenet Genome Res        ISSN: 1424-8581            Impact factor:   1.636


  17 in total

Review 1.  Equine clinical genomics: A clinician's primer.

Authors:  M M Brosnahan; S A Brooks; D F Antczak
Journal:  Equine Vet J       Date:  2010-10       Impact factor: 2.888

Review 2.  Applied equine genetics.

Authors:  C J Finno; D L Bannasch
Journal:  Equine Vet J       Date:  2014-06-25       Impact factor: 2.888

3.  Whole-genome SNP association in the horse: identification of a deletion in myosin Va responsible for Lavender Foal Syndrome.

Authors:  Samantha A Brooks; Nicole Gabreski; Donald Miller; Abra Brisbin; Helen E Brown; Cassandra Streeter; Jason Mezey; Deborah Cook; Douglas F Antczak
Journal:  PLoS Genet       Date:  2010-04-15       Impact factor: 5.917

4.  Multidirectional cross-species painting illuminates the history of karyotypic evolution in Perissodactyla.

Authors:  Vladimir A Trifonov; Roscoe Stanyon; Anastasia I Nesterenko; Beiyuan Fu; Polina L Perelman; Patricia C M O'Brien; Gary Stone; Nadezhda V Rubtsova; Marlys L Houck; Terence J Robinson; Malcolm A Ferguson-Smith; Gauthier Dobigny; Alexander S Graphodatsky; Fengtang Yang
Journal:  Chromosome Res       Date:  2008       Impact factor: 5.239

Review 5.  The horse genome derby: racing from map to whole genome sequence.

Authors:  Bhanu P Chowdhary; Terje Raudsepp
Journal:  Chromosome Res       Date:  2008       Impact factor: 5.239

6.  A 4,103 marker integrated physical and comparative map of the horse genome.

Authors:  T Raudsepp; A Gustafson-Seabury; K Durkin; M L Wagner; G Goh; C M Seabury; C Brinkmeyer-Langford; E-J Lee; R Agarwala; E Stallknecht-Rice; A A Schäffer; L C Skow; T Tozaki; H Yasue; M C T Penedo; L A Lyons; K A Khazanehdari; M M Binns; J N MacLeod; O Distl; G Guérin; T Leeb; J R Mickelson; B P Chowdhary
Journal:  Cytogenet Genome Res       Date:  2008-10-14       Impact factor: 1.636

7.  Genome-wide search for microsatellite markers associated with radiologic alterations in the navicular bone of Hanoverian warmblood horses.

Authors:  Ulrike S Diesterbeck; Bodo Hertsch; Ottmar Distl
Journal:  Mamm Genome       Date:  2007-06-06       Impact factor: 2.957

8.  Genome-wide search for markers associated with osteochondrosis in Hanoverian warmblood horses.

Authors:  Claudia Dierks; Kathrin Löhring; Virginie Lampe; Catherine Wittwer; Cord Drögemüller; Ottmar Distl
Journal:  Mamm Genome       Date:  2007-09-29       Impact factor: 2.957

9.  Whole-genome scan identifies quantitative trait loci for chronic pastern dermatitis in German draft horses.

Authors:  E Henrike Mittmann; Stefanie Mömke; Ottmar Distl
Journal:  Mamm Genome       Date:  2009-12-29       Impact factor: 2.957

10.  Whole-genome linkage disequilibrium screening for complex traits in horses.

Authors:  Teruaki Tozaki; Kei-ichi Hirota; Telhisa Hasegawa; Nobushige Ishida; Takashi Tobe
Journal:  Mol Genet Genomics       Date:  2007-02-22       Impact factor: 2.980

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