Literature DB >> 12016516

Selection and use of SNP markers for animal identification and paternity analysis in U.S. beef cattle.

Michael P Heaton1, Gregory P Harhay, Gary L Bennett, Roger T Stone, W Michael Grosse, Eduardo Casas, John W Keele, Timothy P L Smith, Carol G Chitko-McKown, William W Laegreid.   

Abstract

DNA marker technology represents a promising means for determining the genetic identity and kinship of an animal. Compared with other types of DNA markers, single nucleotide polymorphisms (SNPs) are attractive because they are abundant, genetically stable, and amenable to high-throughput automated analysis. In cattle, the challenge has been to identify a minimal set of SNPs with sufficient power for use in a variety of popular breeds and crossbred populations. This report describes a set of 32 highly informative SNP markers distributed among 18 autosomes and both sex chromosomes. Informativity of these SNPs in U.S. beef cattle populations was estimated from the distribution of allele and genotype frequencies in two panels: one consisting of 96 purebred sires representing 17 popular breeds, and another with 154 purebred American Angus from six herds in four Midwestern states. Based on frequency data from these panels, the estimated probability that two randomly selected, unrelated individuals will possess identical genotypes for all 32 loci was 2.0 x 10(-13) for multi-breed composite populations and 1.9 x 10(-10) for purebred Angus populations. The probability that a randomly chosen candidate sire will be excluded from paternity was estimated to be 99.9% and 99.4% for the same respective populations. The DNA immediately surrounding the 32 target SNPs was sequenced in the 96 sires of the multi-breed panel and found to contain an additional 183 polymorphic sites. Knowledge of these additional sites, together with the 32 target SNPs, allows the design of robust, accurate genotype assays on a variety of high-throughput SNP genotyping platforms.

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Year:  2002        PMID: 12016516     DOI: 10.1007/s00335-001-2146-3

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   2.957


  41 in total

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Journal:  Genome Res       Date:  2002-10       Impact factor: 9.043

Review 2.  DNA typing in wildlife crime: recent developments in species identification.

Authors:  Shanan S Tobe; Adrian Linacre
Journal:  Forensic Sci Med Pathol       Date:  2010-06-05       Impact factor: 2.007

3.  Use of chromosome walking in discovery of single-nucleotide polymorphism in noncoding regions of a candidate actin gene in Pinus radiata.

Authors:  W Li; H Li; H Wu; X-Y Chen
Journal:  J Appl Genet       Date:  2010       Impact factor: 3.240

4.  Limitations of GCTA as a solution to the missing heritability problem.

Authors:  Siddharth Krishna Kumar; Marcus W Feldman; David H Rehkopf; Shripad Tuljapurkar
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-22       Impact factor: 11.205

5.  The power of single-nucleotide polymorphisms for large-scale parentage inference.

Authors:  Eric C Anderson; John Carlos Garza
Journal:  Genetics       Date:  2005-12-30       Impact factor: 4.562

6.  Characterisation of single nucleotide polymorphisms in sugarcane ESTs.

Authors:  Giovanni M Cordeiro; Frances Eliott; C Lynne McIntyre; Rosanne E Casu; Robert J Henry
Journal:  Theor Appl Genet       Date:  2006-05-20       Impact factor: 5.699

7.  BARCSoySNP23: a panel of 23 selected SNPs for soybean cultivar identification.

Authors:  M S Yoon; Q J Song; I Y Choi; J E Specht; D L Hyten; P B Cregan
Journal:  Theor Appl Genet       Date:  2007-01-12       Impact factor: 5.699

8.  Resolving the evolution of extant and extinct ruminants with high-throughput phylogenomics.

Authors:  Jared E Decker; J Chris Pires; Gavin C Conant; Stephanie D McKay; Michael P Heaton; Kefei Chen; Alan Cooper; Johanna Vilkki; Christopher M Seabury; Alexandre R Caetano; Gary S Johnson; Rick A Brenneman; Olivier Hanotte; Lori S Eggert; Pamela Wiener; Jong-Joo Kim; Kwan Suk Kim; Tad S Sonstegard; Curt P Van Tassell; Holly L Neibergs; John C McEwan; Rudiger Brauning; Luiz L Coutinho; Masroor E Babar; Gregory A Wilson; Matthew C McClure; Megan M Rolf; Jaewoo Kim; Robert D Schnabel; Jeremy F Taylor
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-21       Impact factor: 11.205

9.  Development of a SNP resource and a genetic linkage map for Atlantic cod (Gadus morhua).

Authors:  Sophie Hubert; Brent Higgins; Tudor Borza; Sharen Bowman
Journal:  BMC Genomics       Date:  2010-03-22       Impact factor: 3.969

10.  Impact of reduced marker set estimation of genomic relationship matrices on genomic selection for feed efficiency in Angus cattle.

Authors:  Megan M Rolf; Jeremy F Taylor; Robert D Schnabel; Stephanie D McKay; Matthew C McClure; Sally L Northcutt; Monty S Kerley; Robert L Weaber
Journal:  BMC Genet       Date:  2010-04-19       Impact factor: 2.797

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