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Items: 1 to 50 of 179

1.

Genetics of resistance to photobacteriosis in gilthead sea bream (Sparus aurata) using 2b-RAD sequencing.

Aslam ML, Carraro R, Bestin A, Cariou S, Sonesson AK, Bruant JS, Haffray P, Bargelloni L, Meuwissen THE.

BMC Genet. 2018 Jul 11;19(1):43. doi: 10.1186/s12863-018-0631-x.

PMID:
29996763
2.

Using genomic relationship likelihood for parentage assignment.

Grashei KE, Ødegård J, Meuwissen THE.

Genet Sel Evol. 2018 May 18;50(1):26. doi: 10.1186/s12711-018-0397-7.

3.

Assessment of fecal near-infrared spectroscopy to predict feces chemical composition and apparent total-tract digestibility of nutrients in pigs.

Nirea KG, Pérez de Nanclares M, Skugor A, Afseth NK, Meuwissen THE, Hansen JØ, Mydland LT, Øverland M.

J Anim Sci. 2018 Jun 29;96(7):2826-2837. doi: 10.1093/jas/sky182.

PMID:
29741639
4.

Genetic effects of fatty acid composition in muscle of Atlantic salmon.

Horn SS, Ruyter B, Meuwissen THE, Hillestad B, Sonesson AK.

Genet Sel Evol. 2018 May 2;50(1):23. doi: 10.1186/s12711-018-0394-x.

5.

Milk mid-infrared spectral data as a tool to predict feed intake in lactating Norwegian Red dairy cows.

Wallén SE, Prestløkken E, Meuwissen THE, McParland S, Berry DP.

J Dairy Sci. 2018 Jul;101(7):6232-6243. doi: 10.3168/jds.2017-13874. Epub 2018 Mar 28.

PMID:
29605317
6.

Large-scale genomic prediction using singular value decomposition of the genotype matrix.

Ødegård J, Indahl U, Strandén I, Meuwissen THE.

Genet Sel Evol. 2018 Feb 28;50(1):6. doi: 10.1186/s12711-018-0373-2.

7.

Maternal, dominance and additive genetic effects in Nile tilapia; influence on growth, fillet yield and body size traits.

Joshi R, Woolliams JA, Meuwissen T, Gjøen HM.

Heredity (Edinb). 2018 May;120(5):452-462. doi: 10.1038/s41437-017-0046-x. Epub 2018 Jan 16.

8.

Including crossbred pigs in the genomic relationship matrix through utilization of both linkage disequilibrium and linkage analysis.

Iversen MW, Nordbø Ø, Gjerlaug-Enger E, Grindflek E, Lopes MS, Meuwissen THE.

J Anim Sci. 2017 Dec;95(12):5197-5207. doi: 10.2527/jas2017.1705.

PMID:
29293760
9.

Variable selection models for genomic selection using whole-genome sequence data and singular value decomposition.

Meuwissen THE, Indahl UG, Ødegård J.

Genet Sel Evol. 2017 Dec 27;49(1):94. doi: 10.1186/s12711-017-0369-3.

10.

Use and optimization of different sources of information for genomic prediction.

Ilska JJ, Meuwissen THE, Kranis A, Woolliams JA.

Genet Sel Evol. 2017 Dec 11;49(1):90. doi: 10.1186/s12711-017-0365-7.

11.

Short communication: Genomic prediction using imputed whole-genome sequence variants in Brown Swiss Cattle.

Frischknecht M, Meuwissen THE, Bapst B, Seefried FR, Flury C, Garrick D, Signer-Hasler H, Stricker C; Intergenomics Consortium, Bieber A, Fries R, Russ I, Sölkner J, Bagnato A, Gredler-Grandl B.

J Dairy Sci. 2018 Feb;101(2):1292-1296. doi: 10.3168/jds.2017-12890. Epub 2017 Nov 15.

PMID:
29153527
12.

Adjusting for heterogeneity of experimental data in genetic evaluation of dry matter intake in dairy cattle.

Uddin ME, Meuwissen T, Veerkamp RF.

J Anim Breed Genet. 2018 Feb;135(1):28-36. doi: 10.1111/jbg.12300. Epub 2017 Nov 20.

PMID:
29152841
13.

Simultaneous fitting of genomic-BLUP and Bayes-C components in a genomic prediction model.

Iheshiulor OOM, Woolliams JA, Svendsen M, Solberg T, Meuwissen THE.

Genet Sel Evol. 2017 Aug 24;49(1):63. doi: 10.1186/s12711-017-0339-9.

14.

Fine-mapping inflammatory bowel disease loci to single-variant resolution.

Huang H, Fang M, Jostins L, Umićević Mirkov M, Boucher G, Anderson CA, Andersen V, Cleynen I, Cortes A, Crins F, D'Amato M, Deffontaine V, Dmitrieva J, Docampo E, Elansary M, Farh KK, Franke A, Gori AS, Goyette P, Halfvarson J, Haritunians T, Knight J, Lawrance IC, Lees CW, Louis E, Mariman R, Meuwissen T, Mni M, Momozawa Y, Parkes M, Spain SL, Théâtre E, Trynka G, Satsangi J, van Sommeren S, Vermeire S, Xavier RJ; International Inflammatory Bowel Disease Genetics Consortium, Weersma RK, Duerr RH, Mathew CG, Rioux JD, McGovern DPB, Cho JH, Georges M, Daly MJ, Barrett JC.

Nature. 2017 Jul 13;547(7662):173-178. doi: 10.1038/nature22969. Epub 2017 Jun 28.

15.

Strategies for implementing genomic selection for feed efficiency in dairy cattle breeding schemes.

Wallén SE, Lillehammer M, Meuwissen THE.

J Dairy Sci. 2017 Aug;100(8):6327-6336. doi: 10.3168/jds.2016-11458. Epub 2017 Jun 7.

PMID:
28601446
16.

Application of a Bayesian dominance model improves power in quantitative trait genome-wide association analysis.

Bennewitz J, Edel C, Fries R, Meuwissen TH, Wellmann R.

Genet Sel Evol. 2017 Jan 14;49(1):7. doi: 10.1186/s12711-017-0284-7.

17.

Improving production efficiency in the presence of genotype by environment interactions in pig genomic selection breeding programmes.

Nirea KG, Meuwissen TH.

J Anim Breed Genet. 2017 Apr;134(2):119-128. doi: 10.1111/jbg.12250. Epub 2016 Dec 19.

PMID:
27990697
18.

Genetic relationships between boar feed efficiency and sow piglet production, body condition score, and stayability in Norwegian Landrace pigs.

Martinsen KH, Ødegård J, Aasmundstad T, Olsen D, Meuwissen TH.

J Anim Sci. 2016 Aug;94(8):3159-3168.

PMID:
27695777
19.

A fast Newton-Raphson based iterative algorithm for large scale optimal contribution selection.

Dagnachew BS, Meuwissen TH.

Genet Sel Evol. 2016 Sep 20;48(1):70. doi: 10.1186/s12711-016-0249-2.

20.

Response to selection while maximizing genetic variance in small populations.

Cervantes I, Gutiérrez JP, Meuwissen TH.

Genet Sel Evol. 2016 Sep 20;48(1):69. doi: 10.1186/s12711-016-0248-3.

21.

Within- and across-breed genomic prediction using whole-genome sequence and single nucleotide polymorphism panels.

Iheshiulor OO, Woolliams JA, Yu X, Wellmann R, Meuwissen TH.

Genet Sel Evol. 2016 Feb 19;48:15. doi: 10.1186/s12711-016-0193-1.

22.

On genetic canalization, infinitesimal model and whole-genome sequence data.

Ødegård J, Meuwissen T.

J Anim Breed Genet. 2016 Feb;133(1):1-2. doi: 10.1111/jbg.12201. No abstract available.

PMID:
26763098
23.

Across population genomic prediction scenarios in which Bayesian variable selection outperforms GBLUP.

van den Berg S, Calus MP, Meuwissen TH, Wientjes YC.

BMC Genet. 2015 Dec 23;16:146. doi: 10.1186/s12863-015-0305-x.

24.

Use of field data in pig genomic selection schemes: a simulation study.

Lillehammer M, Sonesson AK, Meuwissen TH.

Animal. 2016 Jun;10(6):1025-32. doi: 10.1017/S1751731115002669. Epub 2015 Dec 2.

PMID:
26627382
25.

Genomic predictions based on animal models using genotype imputation on a national scale in Norwegian Red cattle.

Meuwissen TH, Svendsen M, Solberg T, Ødegård J.

Genet Sel Evol. 2015 Oct 13;47:79. doi: 10.1186/s12711-015-0159-8.

26.

Genetic variation in efficiency to deposit fat and lean meat in Norwegian Landrace and Duroc pigs.

Martinsen KH, Ødegård J, Olsen D, Meuwissen TH.

J Anim Sci. 2015 Aug;93(8):3794-800. doi: 10.2527/jas.2015-9174.

PMID:
26440158
27.

Comparative Analyses of QTLs Influencing Obesity and Metabolic Phenotypes in Pigs and Humans.

Pant SD, Karlskov-Mortensen P, Jacobsen MJ, Cirera S, Kogelman LJ, Bruun CS, Mark T, Jørgensen CB, Grarup N, Appel EV, Galjatovic EA, Hansen T, Pedersen O, Guerin M, Huby T, Lesnik P, Meuwissen TH, Kadarmideen HN, Fredholm M.

PLoS One. 2015 Sep 8;10(9):e0137356. doi: 10.1371/journal.pone.0137356. eCollection 2015.

28.

A computationally efficient algorithm for genomic prediction using a Bayesian model.

Wang T, Chen YP, Goddard ME, Meuwissen TH, Kemper KE, Hayes BJ.

Genet Sel Evol. 2015 Apr 30;47:34. doi: 10.1186/s12711-014-0082-4.

29.

Genetic analysis of longevity in Dutch dairy cattle using random regression.

van Pelt ML, Meuwissen TH, de Jong G, Veerkamp RF.

J Dairy Sci. 2015 Jun;98(6):4117-30. doi: 10.3168/jds.2014-9090. Epub 2015 Apr 16.

PMID:
25892695
30.

Identity-by-descent genomic selection using selective and sparse genotyping for binary traits.

Ødegård J, Meuwissen TH.

Genet Sel Evol. 2015 Feb 22;47:8. doi: 10.1186/s12711-015-0090-z.

31.

Accuracy of genomic selection for a sib-evaluated trait using identity-by-state and identity-by-descent relationships.

Vela-Avitúa S, Meuwissen TH, Luan T, Ødegård J.

Genet Sel Evol. 2015 Feb 25;47:9. doi: 10.1186/s12711-014-0084-2.

32.

Upweighting rare favourable alleles increases long-term genetic gain in genomic selection programs.

Liu H, Meuwissen TH, Sørensen AC, Berg P.

Genet Sel Evol. 2015 Mar 21;47:19. doi: 10.1186/s12711-015-0101-0.

33.

Genetic contributions and their optimization.

Woolliams JA, Berg P, Dagnachew BS, Meuwissen TH.

J Anim Breed Genet. 2015 Apr;132(2):89-99. doi: 10.1111/jbg.12148.

PMID:
25823835
34.

The effect of including genomic relationships in the estimation of genetic parameters of functional traits in pigs.

Aasmundstad T, Andersen-Ranberg I, Nordbø Ø, Meuwissen T, Vangen O, Grindflek E.

J Anim Breed Genet. 2015 Oct;132(5):386-91. doi: 10.1111/jbg.12156. Epub 2015 Mar 17.

PMID:
25788294
35.

Utilization of farm animal genetic resources in a changing agro-ecological environment in the Nordic countries.

Kantanen J, Løvendahl P, Strandberg E, Eythorsdottir E, Li MH, Kettunen-Præbel A, Berg P, Meuwissen T.

Front Genet. 2015 Feb 25;6:52. doi: 10.3389/fgene.2015.00052. eCollection 2015.

36.

A unified approach to characterize and conserve adaptive and neutral genetic diversity in subdivided populations.

Wellmann R, Bennewitz J, Meuwissen TH.

Genet Res (Camb). 2014 Dec 16;96:e16. doi: 10.1017/S0016672314000196.

PMID:
25578300
37.

Genomic prediction in an admixed population of Atlantic salmon (Salmo salar).

Odegård J, Moen T, Santi N, Korsvoll SA, Kjøglum S, Meuwissen TH.

Front Genet. 2014 Nov 21;5:402. doi: 10.3389/fgene.2014.00402. eCollection 2014.

38.

Genomic prediction based on runs of homozygosity.

Luan T, Yu X, Dolezal M, Bagnato A, Meuwissen TH.

Genet Sel Evol. 2014 Oct 4;46:64. doi: 10.1186/s12711-014-0064-6.

39.

On the distance of genetic relationships and the accuracy of genomic prediction in pig breeding.

Meuwissen TH, Odegard J, Andersen-Ranberg I, Grindflek E.

Genet Sel Evol. 2014 Aug 1;46:49. doi: 10.1186/1297-9686-46-49.

40.

Prioritizing animals for dense genotyping in order to impute missing genotypes of sparsely genotyped animals.

Yu X, Woolliams JA, Meuwissen TH.

Genet Sel Evol. 2014 Aug 26;46:46. doi: 10.1186/1297-9686-46-46.

41.

Systematic differences in the response of genetic variation to pedigree and genome-based selection methods.

Heidaritabar M, Vereijken A, Muir WM, Meuwissen T, Cheng H, Megens HJ, Groenen MA, Bastiaansen JW.

Heredity (Edinb). 2014 Dec;113(6):503-13. doi: 10.1038/hdy.2014.55. Epub 2014 Jul 30.

42.

Investigations on the pattern of linkage disequilibrium and selection signatures in the genomes of German Piétrain pigs.

Stratz P, Wimmers K, Meuwissen TH, Bennewitz J.

J Anim Breed Genet. 2014 Dec;131(6):473-82. doi: 10.1111/jbg.12107. Epub 2014 Jul 21.

PMID:
25047461
43.

Estimates of missing heritability for complex traits in Brown Swiss cattle.

Román-Ponce SI, Samoré AB, Dolezal MA, Bagnato A, Meuwissen TH.

Genet Sel Evol. 2014 Jun 4;46:36. doi: 10.1186/1297-9686-46-36.

44.

Genomic predictions based on a joint reference population for the Nordic Red cattle breeds.

Zhou L, Heringstad B, Su G, Guldbrandtsen B, Meuwissen TH, Svendsen M, Grove H, Nielsen US, Lund MS.

J Dairy Sci. 2014 Jul;97(7):4485-96. doi: 10.3168/jds.2013-7580. Epub 2014 May 2.

45.

Allele frequency changes due to hitch-hiking in genomic selection programs.

Liu H, Sørensen AC, Meuwissen TH, Berg P.

Genet Sel Evol. 2014 Feb 4;46:8. doi: 10.1186/1297-9686-46-8.

46.

Identity-by-descent genomic selection using selective and sparse genotyping.

Odegård J, Meuwissen TH.

Genet Sel Evol. 2014 Jan 20;46:3. doi: 10.1186/1297-9686-46-3.

47.

A low-marker density implementation of genomic selection in aquaculture using within-family genomic breeding values.

Lillehammer M, Meuwissen TH, Sonesson AK.

Genet Sel Evol. 2013 Oct 15;45:39. doi: 10.1186/1297-9686-45-39.

48.

Genetic components of milk Fourier-transform infrared spectra used to predict breeding values for milk composition and quality traits in dairy goats.

Dagnachew BS, Meuwissen TH, Adnøy T.

J Dairy Sci. 2013 Sep;96(9):5933-42. doi: 10.3168/jds.2012-6068. Epub 2013 Jul 5.

PMID:
23831101
49.

Optimal contribution selection applied to the Norwegian and the North-Swedish cold-blooded trotter - a feasibility study.

Olsen HF, Meuwissen T, Klemetsdal G.

J Anim Breed Genet. 2013 Jun;130(3):170-7. doi: 10.1111/j.1439-0388.2012.01005.x. Epub 2012 May 12.

PMID:
23679942
50.

Genomic selection for two traits in a maternal pig breeding scheme.

Lillehammer M, Meuwissen TH, Sonesson AK.

J Anim Sci. 2013 Jul;91(7):3079-87. doi: 10.2527/jas.2012-5113. Epub 2013 May 8.

PMID:
23658351

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