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Items: 1 to 20 of 110

1.

Identification of Gene Networks for Residual Feed Intake in Angus Cattle Using Genomic Prediction and RNA-seq.

Weber KL, Welly BT, Van Eenennaam AL, Young AE, Porto-Neto LR, Reverter A, Rincon G.

PLoS One. 2016 Mar 28;11(3):e0152274. doi: 10.1371/journal.pone.0152274. eCollection 2016.

2.

Genomic structure and marker-derived gene networks for growth and meat quality traits of Brazilian Nelore beef cattle.

Mudadu MA, Porto-Neto LR, Mokry FB, Tizioto PC, Oliveira PS, Tullio RR, Nassu RT, Niciura SC, Tholon P, Alencar MM, Higa RH, Rosa AN, Feijó GL, Ferraz AL, Silva LO, Medeiros SR, Lanna DP, Nascimento ML, Chaves AS, Souza AR, Packer IU, Torres RA Jr, Siqueira F, Mourão GB, Coutinho LL, Reverter A, Regitano LC.

BMC Genomics. 2016 Mar 15;17(1):235. doi: 10.1186/s12864-016-2535-3.

3.

Meeting Report on the Challenge of Inference from Genome to Phenome.

Huang BE, Reverter A, Purvis I, Chapman S.

G3 (Bethesda). 2015 Oct;5(10):1945-7. No abstract available.

4.

Genome-wide association for the outcome of fixed-time artificial insemination of Brahman heifers in northern Australia.

Porto-Neto LR, Edwards S, Fortes MR, Lehnert SA, Reverter A, McGowan M.

J Anim Sci. 2015 Nov;93(11):5119-27. doi: 10.2527/jas.2015-9401.

PMID:
26641032
5.

A regulatory gene network related to the porcine umami taste receptor (TAS1R1/TAS1R3).

Kim JM, Ren D, Reverter A, Roura E.

Anim Genet. 2016 Feb;47(1):114-9. doi: 10.1111/age.12374. Epub 2015 Nov 11.

PMID:
26554867
6.

Genomic correlation: harnessing the benefit of combining two unrelated populations for genomic selection.

Porto-Neto LR, Barendse W, Henshall JM, McWilliam SM, Lehnert SA, Reverter A.

Genet Sel Evol. 2015 Nov 2;47:84. doi: 10.1186/s12711-015-0162-0.

7.

Prospecting major genes in dairy buffaloes.

de Camargo GM, Aspilcueta-Borquis RR, Fortes MR, Porto-Neto R, Cardoso DF, Santos DJ, Lehnert SA, Reverter A, Moore SS, Tonhati H.

BMC Genomics. 2015 Oct 28;16(1):872. doi: 10.1186/s12864-015-1986-2.

8.

Compression distance can discriminate animals by genetic profile, build relationship matrices and estimate breeding values.

Hudson NJ, Porto-Neto L, Kijas JW, Reverter A.

Genet Sel Evol. 2015 Oct 13;47:78. doi: 10.1186/s12711-015-0158-9.

9.

Non-additive genetic variation in growth, carcass and fertility traits of beef cattle.

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

Genet Sel Evol. 2015 Apr 2;47:26. doi: 10.1186/s12711-015-0114-8.

10.

Systems biology analysis merging phenotype, metabolomic and genomic data identifies Non-SMC Condensin I Complex, Subunit G (NCAPG) and cellular maintenance processes as major contributors to genetic variability in bovine feed efficiency.

Widmann P, Reverter A, Weikard R, Suhre K, Hammon HM, Albrecht E, Kuehn C.

PLoS One. 2015 Apr 15;10(4):e0124574. doi: 10.1371/journal.pone.0124574. eCollection 2015.

11.

Low frequency of Y anomaly detected in Australian Brahman cow-herds.

de Camargo GM, Porto-Neto LR, Fortes MR, Bunch RJ, Tonhati H, Reverter A, Moore SS, Lehnert SA.

Meta Gene. 2015 Feb 14;3:59-61. doi: 10.1016/j.mgene.2015.01.001. eCollection 2015 Feb.

12.

Characterization of the porcine nutrient and taste receptor gene repertoire in domestic and wild populations across the globe.

da Silva EC, de Jager N, Burgos-Paz W, Reverter A, Perez-Enciso M, Roura E.

BMC Genomics. 2014 Dec 3;15:1057. doi: 10.1186/1471-2164-15-1057.

13.

The genetic architecture of climatic adaptation of tropical cattle.

Porto-Neto LR, Reverter A, Prayaga KC, Chan EK, Johnston DJ, Hawken RJ, Fordyce G, Garcia JF, Sonstegard TS, Bolormaa S, Goddard ME, Burrow HM, Henshall JM, Lehnert SA, Barendse W.

PLoS One. 2014 Nov 24;9(11):e113284. doi: 10.1371/journal.pone.0113284. eCollection 2014.

14.

Longitudinal muscle gene expression patterns associated with differential intramuscular fat in cattle.

Hudson NJ, Reverter A, Greenwood PL, Guo B, Cafe LM, Dalrymple BP.

Animal. 2015 Apr;9(4):650-9. doi: 10.1017/S1751731114002754. Epub 2014 Nov 13.

PMID:
25391663
15.

Sensory rewiring in an echolocator: genome-wide modification of retinogenic and auditory genes in the bat Myotis davidii.

Hudson NJ, Baker ML, Hart NS, Wynne JW, Gu Q, Huang Z, Zhang G, Ingham AB, Wang L, Reverter A.

G3 (Bethesda). 2014 Aug 4;4(10):1825-35. doi: 10.1534/g3.114.011262.

16.

Multi-tissue omics analyses reveal molecular regulatory networks for puberty in composite beef cattle.

Cánovas A, Reverter A, DeAtley KL, Ashley RL, Colgrave ML, Fortes MR, Islas-Trejo A, Lehnert S, Porto-Neto L, Rincón G, Silver GA, Snelling WM, Medrano JF, Thomas MG.

PLoS One. 2014 Jul 21;9(7):e102551. doi: 10.1371/journal.pone.0102551. eCollection 2014.

17.

Linkage disequilibrium over short physical distances measured in sheep using a high-density SNP chip.

Kijas JW, Porto-Neto L, Dominik S, Reverter A, Bunch R, McCulloch R, Hayes BJ, Brauning R, McEwan J; International Sheep Genomics Consortium.

Anim Genet. 2014 Oct;45(5):754-7. doi: 10.1111/age.12197. Epub 2014 Jul 17.

PMID:
25040320
18.

Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity.

Porto-Neto LR, Fortes MR, McWilliam SM, Lehnert SA, Reverter A.

Front Genet. 2014 Apr 22;5:89. doi: 10.3389/fgene.2014.00089. eCollection 2014.

19.

A marker-derived gene network reveals the regulatory role of PPARGC1A, HNF4G, and FOXP3 in intramuscular fat deposition of beef cattle.

Ramayo-Caldas Y, Fortes MR, Hudson NJ, Porto-Neto LR, Bolormaa S, Barendse W, Kelly M, Moore SS, Goddard ME, Lehnert SA, Reverter A.

J Anim Sci. 2014 Jul;92(7):2832-45. doi: 10.2527/jas.2013-7484. Epub 2014 Apr 28.

20.

A multi-trait, meta-analysis for detecting pleiotropic polymorphisms for stature, fatness and reproduction in beef cattle.

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

PLoS Genet. 2014 Mar 27;10(3):e1004198. doi: 10.1371/journal.pgen.1004198. eCollection 2014 Mar.

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