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Imputation of microsatellite alleles from dense SNP genotypes for parentage verification across multiple Bos taurus and Bos indicus breeds

To assist cattle producers transition from microsatellite (MS) to single nucleotide polymorphism (SNP) genotyping for parental verification we previously devised an effective and inexpensive method to impute MS alleles from SNP haplotypes. While the reported method was verified with only a limited d...

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Autores principales: McClure, Matthew C., Sonstegard, Tad S., Wiggans, George R., Van Eenennaam, Alison L., Weber, Kristina L., Penedo, Cecilia T., Berry, Donagh P., Flynn, John, Garcia, Jose F., Carmo, Adriana S., Regitano, Luciana C. A., Albuquerque, Milla, Silva, Marcos V. G. B., Machado, Marco A., Coffey, Mike, Moore, Kirsty, Boscher, Marie-Yvonne, Genestout, Lucie, Mazza, Raffaele, Taylor, Jeremy F., Schnabel, Robert D., Simpson, Barry, Marques, Elisa, McEwan, John C., Cromie, Andrew, Coutinho, Luiz L., Kuehn, Larry A., Keele, John W., Piper, Emily K., Cook, Jim, Williams, Robert, Van Tassell, Curtis P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3776237/
https://www.ncbi.nlm.nih.gov/pubmed/24065982
http://dx.doi.org/10.3389/fgene.2013.00176
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author McClure, Matthew C.
Sonstegard, Tad S.
Wiggans, George R.
Van Eenennaam, Alison L.
Weber, Kristina L.
Penedo, Cecilia T.
Berry, Donagh P.
Flynn, John
Garcia, Jose F.
Carmo, Adriana S.
Regitano, Luciana C. A.
Albuquerque, Milla
Silva, Marcos V. G. B.
Machado, Marco A.
Coffey, Mike
Moore, Kirsty
Boscher, Marie-Yvonne
Genestout, Lucie
Mazza, Raffaele
Taylor, Jeremy F.
Schnabel, Robert D.
Simpson, Barry
Marques, Elisa
McEwan, John C.
Cromie, Andrew
Coutinho, Luiz L.
Kuehn, Larry A.
Keele, John W.
Piper, Emily K.
Cook, Jim
Williams, Robert
Van Tassell, Curtis P.
author_facet McClure, Matthew C.
Sonstegard, Tad S.
Wiggans, George R.
Van Eenennaam, Alison L.
Weber, Kristina L.
Penedo, Cecilia T.
Berry, Donagh P.
Flynn, John
Garcia, Jose F.
Carmo, Adriana S.
Regitano, Luciana C. A.
Albuquerque, Milla
Silva, Marcos V. G. B.
Machado, Marco A.
Coffey, Mike
Moore, Kirsty
Boscher, Marie-Yvonne
Genestout, Lucie
Mazza, Raffaele
Taylor, Jeremy F.
Schnabel, Robert D.
Simpson, Barry
Marques, Elisa
McEwan, John C.
Cromie, Andrew
Coutinho, Luiz L.
Kuehn, Larry A.
Keele, John W.
Piper, Emily K.
Cook, Jim
Williams, Robert
Van Tassell, Curtis P.
author_sort McClure, Matthew C.
collection PubMed
description To assist cattle producers transition from microsatellite (MS) to single nucleotide polymorphism (SNP) genotyping for parental verification we previously devised an effective and inexpensive method to impute MS alleles from SNP haplotypes. While the reported method was verified with only a limited data set (N = 479) from Brown Swiss, Guernsey, Holstein, and Jersey cattle, some of the MS-SNP haplotype associations were concordant across these phylogenetically diverse breeds. This implied that some haplotypes predate modern breed formation and remain in strong linkage disequilibrium. To expand the utility of MS allele imputation across breeds, MS and SNP data from more than 8000 animals representing 39 breeds (Bos taurus and B. indicus) were used to predict 9410 SNP haplotypes, incorporating an average of 73 SNPs per haplotype, for which alleles from 12 MS markers could be accurately be imputed. Approximately 25% of the MS-SNP haplotypes were present in multiple breeds (N = 2 to 36 breeds). These shared haplotypes allowed for MS imputation in breeds that were not represented in the reference population with only a small increase in Mendelian inheritance inconsistancies. Our reported reference haplotypes can be used for any cattle breed and the reported methods can be applied to any species to aid the transition from MS to SNP genetic markers. While ~91% of the animals with imputed alleles for 12 MS markers had ≤1 Mendelian inheritance conflicts with their parents' reported MS genotypes, this figure was 96% for our reference animals, indicating potential errors in the reported MS genotypes. The workflow we suggest autocorrects for genotyping errors and rare haplotypes, by MS genotyping animals whose imputed MS alleles fail parentage verification, and then incorporating those animals into the reference dataset.
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spelling pubmed-37762372013-09-24 Imputation of microsatellite alleles from dense SNP genotypes for parentage verification across multiple Bos taurus and Bos indicus breeds McClure, Matthew C. Sonstegard, Tad S. Wiggans, George R. Van Eenennaam, Alison L. Weber, Kristina L. Penedo, Cecilia T. Berry, Donagh P. Flynn, John Garcia, Jose F. Carmo, Adriana S. Regitano, Luciana C. A. Albuquerque, Milla Silva, Marcos V. G. B. Machado, Marco A. Coffey, Mike Moore, Kirsty Boscher, Marie-Yvonne Genestout, Lucie Mazza, Raffaele Taylor, Jeremy F. Schnabel, Robert D. Simpson, Barry Marques, Elisa McEwan, John C. Cromie, Andrew Coutinho, Luiz L. Kuehn, Larry A. Keele, John W. Piper, Emily K. Cook, Jim Williams, Robert Van Tassell, Curtis P. Front Genet Genetics To assist cattle producers transition from microsatellite (MS) to single nucleotide polymorphism (SNP) genotyping for parental verification we previously devised an effective and inexpensive method to impute MS alleles from SNP haplotypes. While the reported method was verified with only a limited data set (N = 479) from Brown Swiss, Guernsey, Holstein, and Jersey cattle, some of the MS-SNP haplotype associations were concordant across these phylogenetically diverse breeds. This implied that some haplotypes predate modern breed formation and remain in strong linkage disequilibrium. To expand the utility of MS allele imputation across breeds, MS and SNP data from more than 8000 animals representing 39 breeds (Bos taurus and B. indicus) were used to predict 9410 SNP haplotypes, incorporating an average of 73 SNPs per haplotype, for which alleles from 12 MS markers could be accurately be imputed. Approximately 25% of the MS-SNP haplotypes were present in multiple breeds (N = 2 to 36 breeds). These shared haplotypes allowed for MS imputation in breeds that were not represented in the reference population with only a small increase in Mendelian inheritance inconsistancies. Our reported reference haplotypes can be used for any cattle breed and the reported methods can be applied to any species to aid the transition from MS to SNP genetic markers. While ~91% of the animals with imputed alleles for 12 MS markers had ≤1 Mendelian inheritance conflicts with their parents' reported MS genotypes, this figure was 96% for our reference animals, indicating potential errors in the reported MS genotypes. The workflow we suggest autocorrects for genotyping errors and rare haplotypes, by MS genotyping animals whose imputed MS alleles fail parentage verification, and then incorporating those animals into the reference dataset. Frontiers Media S.A. 2013-09-18 /pmc/articles/PMC3776237/ /pubmed/24065982 http://dx.doi.org/10.3389/fgene.2013.00176 Text en Copyright © 2013 McClure, Sonstegard, Wiggans, Van Eenennaam, Weber, Penedo, Berry, Flynn, Garcia, Carmo, Regitano, Albuquerque, Silva, Machado, Coffey, Moore, Boscher, Genestout, Mazza, Taylor, Schnabel, Simpson, Marques, McEwan, Cromie, Coutinho, Kuehn, Keele, Piper, Cook, Williams, Bovine HapMap Consortium and Van Tassell. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
McClure, Matthew C.
Sonstegard, Tad S.
Wiggans, George R.
Van Eenennaam, Alison L.
Weber, Kristina L.
Penedo, Cecilia T.
Berry, Donagh P.
Flynn, John
Garcia, Jose F.
Carmo, Adriana S.
Regitano, Luciana C. A.
Albuquerque, Milla
Silva, Marcos V. G. B.
Machado, Marco A.
Coffey, Mike
Moore, Kirsty
Boscher, Marie-Yvonne
Genestout, Lucie
Mazza, Raffaele
Taylor, Jeremy F.
Schnabel, Robert D.
Simpson, Barry
Marques, Elisa
McEwan, John C.
Cromie, Andrew
Coutinho, Luiz L.
Kuehn, Larry A.
Keele, John W.
Piper, Emily K.
Cook, Jim
Williams, Robert
Van Tassell, Curtis P.
Imputation of microsatellite alleles from dense SNP genotypes for parentage verification across multiple Bos taurus and Bos indicus breeds
title Imputation of microsatellite alleles from dense SNP genotypes for parentage verification across multiple Bos taurus and Bos indicus breeds
title_full Imputation of microsatellite alleles from dense SNP genotypes for parentage verification across multiple Bos taurus and Bos indicus breeds
title_fullStr Imputation of microsatellite alleles from dense SNP genotypes for parentage verification across multiple Bos taurus and Bos indicus breeds
title_full_unstemmed Imputation of microsatellite alleles from dense SNP genotypes for parentage verification across multiple Bos taurus and Bos indicus breeds
title_short Imputation of microsatellite alleles from dense SNP genotypes for parentage verification across multiple Bos taurus and Bos indicus breeds
title_sort imputation of microsatellite alleles from dense snp genotypes for parentage verification across multiple bos taurus and bos indicus breeds
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3776237/
https://www.ncbi.nlm.nih.gov/pubmed/24065982
http://dx.doi.org/10.3389/fgene.2013.00176
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