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Items: 1 to 20 of 97

1.

Comparing linkage and association analyses in sheep points to a better way of doing GWAS.

Kemper KE, Daetwyler HD, Visscher PM, Goddard ME.

Genet Res (Camb). 2012 Aug;94(4):191-203. doi: 10.1017/S0016672312000365.

PMID:
22950900
2.

Identification of quantitative trait loci underlying milk traits in Spanish dairy sheep using linkage plus combined linkage disequilibrium and linkage analysis approaches.

Garcia-Gámez E, Gutiérrez-Gil B, Suarez-Vega A, de la Fuente LF, Arranz JJ.

J Dairy Sci. 2013 Sep;96(9):6059-69. doi: 10.3168/jds.2013-6824. Epub 2013 Jun 28.

PMID:
23810588
3.

Components of the accuracy of genomic prediction in a multi-breed sheep population.

Daetwyler HD, Kemper KE, van der Werf JH, Hayes BJ.

J Anim Sci. 2012 Oct;90(10):3375-84. doi: 10.2527/jas.2011-4557.

4.

Design considerations for genetic linkage and association studies.

Nsengimana J, Bishop DT.

Methods Mol Biol. 2012;850:237-62. doi: 10.1007/978-1-61779-555-8_13.

PMID:
22307702
5.

Genome-wide association study of body weight in Australian Merino sheep reveals an orthologous region on OAR6 to human and bovine genomic regions affecting height and weight.

Al-Mamun HA, Kwan P, Clark SA, Ferdosi MH, Tellam R, Gondro C.

Genet Sel Evol. 2015 Aug 14;47:66. doi: 10.1186/s12711-015-0142-4.

6.

Extent and consistency of linkage disequilibrium and identification of DNA markers for production and egg quality traits in commercial layer chicken populations.

Abasht B, Sandford E, Arango J, Settar P, Fulton JE, O'Sullivan NP, Hassen A, Habier D, Fernando RL, Dekkers JC, Lamont SJ.

BMC Genomics. 2009 Jul 14;10 Suppl 2:S2. doi: 10.1186/1471-2164-10-S2-S2.

7.

Detection of quantitative trait loci in Bos indicus and Bos taurus cattle using genome-wide association studies.

Bolormaa S, Pryce JE, Kemper KE, Hayes BJ, Zhang Y, Tier B, Barendse W, Reverter A, Goddard ME.

Genet Sel Evol. 2013 Oct 29;45:43. doi: 10.1186/1297-9686-45-43.

8.

Mapping quantitative trait loci in a wild population using linkage and linkage disequilibrium analyses.

Hernández-Sánchez J, Chatzipli A, Beraldi D, Gratten J, Pilkington JG, Pemberton JM.

Genet Res (Camb). 2010 Aug;92(4):273-81. doi: 10.1017/S0016672310000340.

PMID:
20943008
9.

A hidden Markov random field model for genome-wide association studies.

Li H, Wei Z, Maris J.

Biostatistics. 2010 Jan;11(1):139-50. doi: 10.1093/biostatistics/kxp043. Epub 2009 Oct 12.

10.

Localising loci underlying complex trait variation using Regional Genomic Relationship Mapping.

Nagamine Y, Pong-Wong R, Navarro P, Vitart V, Hayward C, Rudan I, Campbell H, Wilson J, Wild S, Hicks AA, Pramstaller PP, Hastie N, Wright AF, Haley CS.

PLoS One. 2012;7(10):e46501. doi: 10.1371/journal.pone.0046501. Epub 2012 Oct 15.

11.

Fast Genome-Wide QTL Association Mapping on Pedigree and Population Data.

Zhou H, Blangero J, Dyer TD, Chan KK, Lange K, Sobel EM.

Genet Epidemiol. 2017 Apr;41(3):174-186. doi: 10.1002/gepi.21988. Epub 2016 Dec 12.

12.

A statistical method for region-based meta-analysis of genome-wide association studies in genetically diverse populations.

Wang X, Liu X, Sim X, Xu H, Khor CC, Ong RT, Tay WT, Suo C, Poh WT, Ng DP, Liu J, Aung T, Chia KS, Wong TY, Tai ES, Teo YY.

Eur J Hum Genet. 2012 Apr;20(4):469-75. doi: 10.1038/ejhg.2011.219. Epub 2011 Nov 30.

13.

GCTA: a tool for genome-wide complex trait analysis.

Yang J, Lee SH, Goddard ME, Visscher PM.

Am J Hum Genet. 2011 Jan 7;88(1):76-82. doi: 10.1016/j.ajhg.2010.11.011. Epub 2010 Dec 17.

14.

A comparison of methods for whole-genome QTL mapping using dense markers in four livestock species.

Legarra A, Croiseau P, Sanchez MP, Teyssèdre S, Sallé G, Allais S, Fritz S, Moreno CR, Ricard A, Elsen JM.

Genet Sel Evol. 2015 Feb 12;47:6. doi: 10.1186/s12711-015-0087-7.

15.

Bivariate association analysis for quantitative traits using generalized estimation equation.

Yang F, Tang Z, Deng H.

J Genet Genomics. 2009 Dec;36(12):733-43. doi: 10.1016/S1673-8527(08)60166-6.

PMID:
20129400
16.

Heterogeneity of genetic architecture of body size traits in a free-living population.

Bérénos C, Ellis PA, Pilkington JG, Lee SH, Gratten J, Pemberton JM.

Mol Ecol. 2015 Apr;24(8):1810-30. doi: 10.1111/mec.13146. Epub 2015 Mar 30.

17.

Accounting for linkage disequilibrium in association analysis of diverse populations.

Charles BA, Shriner D, Rotimi CN.

Genet Epidemiol. 2014 Apr;38(3):265-73. doi: 10.1002/gepi.21788. Epub 2014 Jan 26. Review.

PMID:
24464495
18.

Weighted SNP set analysis in genome-wide association study.

Dai H, Zhao Y, Qian C, Cai M, Zhang R, Chu M, Dai J, Hu Z, Shen H, Chen F.

PLoS One. 2013 Sep 30;8(9):e75897. doi: 10.1371/journal.pone.0075897. eCollection 2013.

19.

Genomewide association for a dominant pigmentation gene in sheep.

Kijas JW, Serrano M, McCulloch R, Li Y, Salces Ortiz J, Calvo JH, Pérez-Guzmán MD; International Sheep Genomics Consortium.

J Anim Breed Genet. 2013 Dec;130(6):468-75. doi: 10.1111/jbg.12048. Epub 2013 Aug 26.

PMID:
24236609
20.

Genome-wide association study of porcine hematological parameters in a Large White × Minzhu F2 resource population.

Luo W, Chen S, Cheng D, Wang L, Li Y, Ma X, Song X, Liu X, Li W, Liang J, Yan H, Zhao K, Wang C, Wang L, Zhang L.

Int J Biol Sci. 2012;8(6):870-81. doi: 10.7150/ijbs.4027. Epub 2012 Jun 15.

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