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Results: 1 to 20 of 490

Cited In for PubMed (Select 16532393)

1.

Low levels of taurine introgression in the current Brazilian Nelore and Gir indicine cattle populations.

O'Brien AM, Höller D, Boison SA, Milanesi M, Bomba L, Utsunomiya YT, Carvalheiro R, Neves HH, da Silva MV, VanTassell CP, Sonstegard TS, Mészáros G, Ajmone-Marsan P, Garcia F, Sölkner J.

Genet Sel Evol. 2015 Apr 17;47(1):31. doi: 10.1186/s12711-015-0109-5.

2.

Natural variation in teosinte at the domestication locus teosinte branched1 (tb1).

Vann L, Kono T, Pyhäjärvi T, Hufford MB, Ross-Ibarra J.

PeerJ. 2015 Apr 16;3:e900. doi: 10.7717/peerj.900. eCollection 2015.

3.

Genome-wide analysis reveals population structure and selection in Chinese indigenous sheep breeds.

Wei C, Wang H, Liu G, Wu M, Cao J, Liu Z, Liu R, Zhao F, Zhang L, Lu J, Liu C, Du L.

BMC Genomics. 2015 Mar 17;16(1):194. [Epub ahead of print]

4.

Relative extended haplotype homozygosity signals across breeds reveal dairy and beef specific signatures of selection.

Bomba L, Nicolazzi EL, Milanesi M, Negrini R, Mancini G, Biscarini F, Stella A, Valentini A, Ajmone-Marsan P.

Genet Sel Evol. 2015 Apr 2;47(1):25. doi: 10.1186/s12711-015-0113-9.

5.

Recent artificial selection in U.S. Jersey cattle impacts autozygosity levels of specific genomic regions.

Kim ES, Sonstegard TS, Rothschild MF.

BMC Genomics. 2015 Apr 16;16(1):302. doi: 10.1186/s12864-015-1500-x.

6.

Genome-wide association analyses reveal significant loci and strong candidate genes for growth and fatness traits in two pig populations.

Qiao R, Gao J, Zhang Z, Li L, Xie X, Fan Y, Cui L, Ma J, Ai H, Ren J, Huang L.

Genet Sel Evol. 2015 Mar 14;47(1):17. doi: 10.1186/s12711-015-0089-5.

7.

Comparison of Bayesian models to estimate direct genomic values in multi-breed commercial beef cattle.

Rolf MM, Garrick DJ, Fountain T, Ramey HR, Weaber RL, Decker JE, Pollak EJ, Schnabel RD, Taylor JF.

Genet Sel Evol. 2015 Apr 1;47(1):23. doi: 10.1186/s12711-015-0106-8.

8.

Genomic prediction of biological shape: elliptic Fourier analysis and kernel partial least squares (PLS) regression applied to grain shape prediction in rice (Oryza sativa L.).

Iwata H, Ebana K, Uga Y, Hayashi T.

PLoS One. 2015 Mar 31;10(3):e0120610. doi: 10.1371/journal.pone.0120610. eCollection 2015.

9.

A genomic portrait of haplotype diversity and signatures of selection in indigenous southern African populations.

Chimusa ER, Meintjies A, Tchanga M, Mulder N, Seioghe C, Soodyall H, Ramesar R.

PLoS Genet. 2015 Mar 26;11(3):e1005052. doi: 10.1371/journal.pgen.1005052. eCollection 2015 Mar.

10.

Genome-wide scan of gastrointestinal nematode resistance in closed Angus population selected for minimized influence of MHC.

Kim ES, Sonstegard TS, da Silva MV, Gasbarre LC, Van Tassell CP.

PLoS One. 2015 Mar 24;10(3):e0119380. doi: 10.1371/journal.pone.0119380. eCollection 2015.

11.

Genomic data as the "hitchhiker's guide" to cattle adaptation: tracking the milestones of past selection in the bovine genome.

Utsunomiya YT, Pérez O'Brien AM, Sonstegard TS, Sölkner J, Garcia JF.

Front Genet. 2015 Feb 10;6:36. doi: 10.3389/fgene.2015.00036. eCollection 2015. Review.

12.

SNP imputation bias reduces effect size determination.

Khankhanian P, Din L, Caillier SJ, Gourraud PA, Baranzini SE.

Front Genet. 2015 Feb 9;6:30. doi: 10.3389/fgene.2015.00030. eCollection 2015.

13.

Combined QTL and Selective Sweep Mappings with Coding SNP Annotation and cis-eQTL Analysis Revealed PARK2 and JAG2 as New Candidate Genes for Adiposity Regulation.

Roux PF, Boitard S, Blum Y, Parks B, Montagner A, Mouisel E, Djari A, Esquerré D, Désert C, Boutin M, Leroux S, Lecerf F, Le Bihan-Duval E, Klopp C, Servin B, Pitel F, Duclos MJ, Guillou H, Lusis AJ, Demeure O, Lagarrigue S.

G3 (Bethesda). 2015 Feb 3;5(4):517-29. doi: 10.1534/g3.115.016865.

14.

Predicting haplotype carriers from SNP genotypes in Bos taurus through linear discriminant analysis.

Biffani S, Dimauro C, Macciotta N, Rossoni A, Stella A, Biscarini F.

Genet Sel Evol. 2015 Feb 5;47:4. doi: 10.1186/s12711-015-0094-8.

15.
16.

Human-aided dispersal has altered but not erased the phylogeography of the tench.

Lajbner Z, Linhart O, Kotlík P.

Evol Appl. 2011 Jul;4(4):545-61. doi: 10.1111/j.1752-4571.2010.00174.x. Epub 2011 Jan 5.

17.

Inference of gorilla demographic and selective history from whole-genome sequence data.

McManus KF, Kelley JL, Song S, Veeramah KR, Woerner AE, Stevison LS, Ryder OA, Ape Genome Project G, Kidd JM, Wall JD, Bustamante CD, Hammer MF.

Mol Biol Evol. 2015 Mar;32(3):600-12. doi: 10.1093/molbev/msu394. Epub 2014 Dec 21.

18.

A community assessment of privacy preserving techniques for human genomes.

Jiang X, Zhao Y, Wang X, Malin B, Wang S, Ohno-Machado L, Tang H.

BMC Med Inform Decis Mak. 2014 Dec 8;14 Suppl 1:S1. doi: 10.1186/1472-6947-14-S1-S1. Epub 2014 Dec 8.

19.

Whole-genome haplotyping approaches and genomic medicine.

Glusman G, Cox HC, Roach JC.

Genome Med. 2014 Sep 25;6(9):73. doi: 10.1186/s13073-014-0073-7. eCollection 2014.

20.

A hidden Markov model for investigating recent positive selection through haplotype structure.

Chen H, Hey J, Slatkin M.

Theor Popul Biol. 2015 Feb;99:18-30. doi: 10.1016/j.tpb.2014.11.001. Epub 2014 Nov 13.

PMID:
25446961
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