Matches in SemOpenAlex for { <https://semopenalex.org/work/W2074956582> ?p ?o ?g. }
- W2074956582 endingPage "e86227" @default.
- W2074956582 startingPage "e86227" @default.
- W2074956582 abstract "The success of Genome Wide Association Studies in the discovery of sequence variation linked to complex traits in humans has increased interest in high throughput SNP genotyping assays in livestock species. Primary goals are QTL detection and genomic selection. The purpose here was design of a 50-60,000 SNP chip for goats. The success of a moderate density SNP assay depends on reliable bioinformatic SNP detection procedures, the technological success rate of the SNP design, even spacing of SNPs on the genome and selection of Minor Allele Frequencies (MAF) suitable to use in diverse breeds. Through the federation of three SNP discovery projects consolidated as the International Goat Genome Consortium, we have identified approximately twelve million high quality SNP variants in the goat genome stored in a database together with their biological and technical characteristics. These SNPs were identified within and between six breeds (meat, milk and mixed): Alpine, Boer, Creole, Katjang, Saanen and Savanna, comprising a total of 97 animals. Whole genome and Reduced Representation Library sequences were aligned on >10 kb scaffolds of the de novo goat genome assembly. The 60,000 selected SNPs, evenly spaced on the goat genome, were submitted for oligo manufacturing (Illumina, Inc) and published in dbSNP along with flanking sequences and map position on goat assemblies (i.e. scaffolds and pseudo-chromosomes), sheep genome V2 and cattle UMD3.1 assembly. Ten breeds were then used to validate the SNP content and 52,295 loci could be successfully genotyped and used to generate a final cluster file. The combined strategy of using mainly whole genome Next Generation Sequencing and mapping on a contig genome assembly, complemented with Illumina design tools proved to be efficient in producing this GoatSNP50 chip. Advances in use of molecular markers are expected to accelerate goat genomic studies in coming years." @default.
- W2074956582 created "2016-06-24" @default.
- W2074956582 creator A5002469221 @default.
- W2074956582 creator A5002736526 @default.
- W2074956582 creator A5003609290 @default.
- W2074956582 creator A5006199449 @default.
- W2074956582 creator A5008595111 @default.
- W2074956582 creator A5012477824 @default.
- W2074956582 creator A5013692065 @default.
- W2074956582 creator A5018848556 @default.
- W2074956582 creator A5019236556 @default.
- W2074956582 creator A5021494115 @default.
- W2074956582 creator A5021534948 @default.
- W2074956582 creator A5030835880 @default.
- W2074956582 creator A5031418608 @default.
- W2074956582 creator A5034908753 @default.
- W2074956582 creator A5036020770 @default.
- W2074956582 creator A5040359624 @default.
- W2074956582 creator A5042241049 @default.
- W2074956582 creator A5042883089 @default.
- W2074956582 creator A5045203888 @default.
- W2074956582 creator A5063292856 @default.
- W2074956582 creator A5069515434 @default.
- W2074956582 creator A5072570498 @default.
- W2074956582 creator A5073887323 @default.
- W2074956582 creator A5074898116 @default.
- W2074956582 creator A5076885789 @default.
- W2074956582 creator A5077593507 @default.
- W2074956582 creator A5090804392 @default.
- W2074956582 date "2014-01-22" @default.
- W2074956582 modified "2023-10-17" @default.
- W2074956582 title "Design and Characterization of a 52K SNP Chip for Goats" @default.
- W2074956582 cites W1551209963 @default.
- W2074956582 cites W1977612821 @default.
- W2074956582 cites W1987216656 @default.
- W2074956582 cites W1993184326 @default.
- W2074956582 cites W2000946775 @default.
- W2074956582 cites W2002875415 @default.
- W2074956582 cites W2048398136 @default.
- W2074956582 cites W2050953418 @default.
- W2074956582 cites W2052446787 @default.
- W2074956582 cites W2060214224 @default.
- W2074956582 cites W2063287758 @default.
- W2074956582 cites W2065648306 @default.
- W2074956582 cites W2094366893 @default.
- W2074956582 cites W2097349182 @default.
- W2074956582 cites W2103441770 @default.
- W2074956582 cites W2104223233 @default.
- W2074956582 cites W2108234281 @default.
- W2074956582 cites W2119272437 @default.
- W2074956582 cites W2131324280 @default.
- W2074956582 cites W21337441 @default.
- W2074956582 cites W2156748343 @default.
- W2074956582 cites W2157211770 @default.
- W2074956582 cites W2158714788 @default.
- W2074956582 cites W2160228159 @default.
- W2074956582 cites W2160717298 @default.
- W2074956582 cites W2164695784 @default.
- W2074956582 cites W2164947706 @default.
- W2074956582 cites W25414834 @default.
- W2074956582 doi "https://doi.org/10.1371/journal.pone.0086227" @default.
- W2074956582 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3899236" @default.
- W2074956582 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24465974" @default.
- W2074956582 hasPublicationYear "2014" @default.
- W2074956582 type Work @default.
- W2074956582 sameAs 2074956582 @default.
- W2074956582 citedByCount "169" @default.
- W2074956582 countsByYear W20749565822014 @default.
- W2074956582 countsByYear W20749565822015 @default.
- W2074956582 countsByYear W20749565822016 @default.
- W2074956582 countsByYear W20749565822017 @default.
- W2074956582 countsByYear W20749565822018 @default.
- W2074956582 countsByYear W20749565822019 @default.
- W2074956582 countsByYear W20749565822020 @default.
- W2074956582 countsByYear W20749565822021 @default.
- W2074956582 countsByYear W20749565822022 @default.
- W2074956582 countsByYear W20749565822023 @default.
- W2074956582 crossrefType "journal-article" @default.
- W2074956582 hasAuthorship W2074956582A5002469221 @default.
- W2074956582 hasAuthorship W2074956582A5002736526 @default.
- W2074956582 hasAuthorship W2074956582A5003609290 @default.
- W2074956582 hasAuthorship W2074956582A5006199449 @default.
- W2074956582 hasAuthorship W2074956582A5008595111 @default.
- W2074956582 hasAuthorship W2074956582A5012477824 @default.
- W2074956582 hasAuthorship W2074956582A5013692065 @default.
- W2074956582 hasAuthorship W2074956582A5018848556 @default.
- W2074956582 hasAuthorship W2074956582A5019236556 @default.
- W2074956582 hasAuthorship W2074956582A5021494115 @default.
- W2074956582 hasAuthorship W2074956582A5021534948 @default.
- W2074956582 hasAuthorship W2074956582A5030835880 @default.
- W2074956582 hasAuthorship W2074956582A5031418608 @default.
- W2074956582 hasAuthorship W2074956582A5034908753 @default.
- W2074956582 hasAuthorship W2074956582A5036020770 @default.
- W2074956582 hasAuthorship W2074956582A5040359624 @default.
- W2074956582 hasAuthorship W2074956582A5042241049 @default.
- W2074956582 hasAuthorship W2074956582A5042883089 @default.
- W2074956582 hasAuthorship W2074956582A5045203888 @default.
- W2074956582 hasAuthorship W2074956582A5063292856 @default.