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Items: 1 to 20 of 68

1.

Evolutionary and Functional Features of Copy Number Variation in the Cattle Genome.

Keel BN, Lindholm-Perry AK, Snelling WM.

Front Genet. 2016 Nov 22;7:207. eCollection 2016.

2.

Genome-wide copy number variation in the bovine genome detected using low coverage sequence of popular beef breeds.

Keel BN, Keele JW, Snelling WM.

Anim Genet. 2017 Apr;48(2):141-150. doi: 10.1111/age.12519. Epub 2016 Oct 24.

PMID:
27775157
3.

Ruminal expression of the NQO1, RGS5, and ACAT1 genes may be indicators of feed efficiency in beef steers.

Kern RJ, Zarek CM, Lindholm-Perry AK, Kuehn LA, Snelling WM, Freetly HC, Cunningham HC, Meyer AM.

Anim Genet. 2017 Feb;48(1):90-92. doi: 10.1111/age.12490. Epub 2016 Sep 9.

PMID:
27611366
4.

Profile of the Spleen Transcriptome in Beef Steers with Variation in Gain and Feed Intake.

Lindholm-Perry AK, Kern RJ, Keel BN, Snelling WM, Kuehn LA, Freetly HC.

Front Genet. 2016 Jul 25;7:127. doi: 10.3389/fgene.2016.00127. eCollection 2016.

5.

Breed effects and genetic parameter estimates for calving difficulty and birth weight in a multibreed population.

Ahlberg CM, Kuehn LA, Thallman RM, Kachman SD, Snelling WM, Spangler ML.

J Anim Sci. 2016 May;94(5):1857-64. doi: 10.2527/jas.2015-0161.

PMID:
27285683
6.

Genomewide association study of liver abscess in beef cattle.

Keele JW, Kuehn LA, McDaneld TG, Tait RG, Jones SA, Keel BN, Snelling WM.

J Anim Sci. 2016 Feb;94(2):490-9. doi: 10.2527/jas.2015-9887.

7.

Transcriptome differences in the rumen of beef steers with variation in feed intake and gain.

Kern RJ, Lindholm-Perry AK, Freetly HC, Snelling WM, Kern JW, Keele JW, Miles JR, Foote AP, Oliver WT, Kuehn LA, Ludden PA.

Gene. 2016 Jul 15;586(1):12-26. doi: 10.1016/j.gene.2016.03.034. Epub 2016 Mar 29.

PMID:
27033587
8.

A survey of polymorphisms detected from sequences of popular beef breeds.

Snelling WM, Bennett GL, Keele JW, Kuehn LA, McDaneld TG, Smith TP, Thallman RM, Kalbfleisch TS, Pollak EJ.

J Anim Sci. 2015 Nov;93(11):5128-43. doi: 10.2527/jas.2015-9356.

9.

Differences in transcript abundance of genes on BTA15 located within a region associated with gain in beef steers.

Lindholm-Perry AK, Kern RJ, Kuehn LA, Snelling WM, Miles JR, Oliver WT, Freetly HC.

Gene. 2015 Nov 1;572(1):42-8. doi: 10.1016/j.gene.2015.06.076. Epub 2015 Jul 2.

PMID:
26143118
10.

Evaluation of single nucleotide polymorphisms in chromosomal regions impacting pregnancy status in cattle.

Psaros KM, McDaneld TG, Kuehn LA, Snelling WM, Keele JW.

J Anim Sci. 2015 Mar;93(3):978-87. doi: 10.2527/jas.2014-8509.

11.

Genetic markers that influence feed efficiency phenotypes also affect cattle temperament as measured by flight speed.

Lindholm-Perry AK, Kuehn LA, Freetly HC, Snelling WM.

Anim Genet. 2015 Feb;46(1):60-4. doi: 10.1111/age.12244. Epub 2014 Dec 16.

PMID:
25515066
12.

QTLs associated with dry matter intake, metabolic mid-test weight, growth and feed efficiency have little overlap across 4 beef cattle studies.

Saatchi M, Beever JE, Decker JE, Faulkner DB, Freetly HC, Hansen SL, Yampara-Iquise H, Johnson KA, Kachman SD, Kerley MS, Kim J, Loy DD, Marques E, Neibergs HL, Pollak EJ, Schnabel RD, Seabury CM, Shike DW, Snelling WM, Spangler ML, Weaber RL, Garrick DJ, Taylor JF.

BMC Genomics. 2014 Nov 20;15:1004. doi: 10.1186/1471-2164-15-1004.

13.

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.

14.

Genomewide association study of reproductive efficiency in female cattle.

McDaneld TG, Kuehn LA, Thomas MG, Snelling WM, Smith TP, Pollak EJ, Cole JB, Keele JW.

J Anim Sci. 2014 May;92(5):1945-57. doi: 10.2527/jas.2012-6807.

15.

Beef cattle body temperature during climatic stress: a genome-wide association study.

Howard JT, Kachman SD, Snelling WM, Pollak EJ, Ciobanu DC, Kuehn LA, Spangler ML.

Int J Biometeorol. 2014 Sep;58(7):1665-72. doi: 10.1007/s00484-013-0773-5. Epub 2013 Dec 22.

PMID:
24362770
16.

Incorporation of genetic technologies associated with applied reproductive technologies to enhance world food production.

Cushman RA, McDaneld TG, Kuehn LA, Snelling WM, Nonneman D.

Adv Exp Med Biol. 2014;752:77-96. doi: 10.1007/978-1-4614-8887-3_4. Review.

PMID:
24170355
17.

Comparison of molecular breeding values based on within- and across-breed training in beef cattle.

Kachman SD, Spangler ML, Bennett GL, Hanford KJ, Kuehn LA, Snelling WM, Thallman RM, Saatchi M, Garrick DJ, Schnabel RD, Taylor JF, Pollak EJ.

Genet Sel Evol. 2013 Aug 16;45:30. doi: 10.1186/1297-9686-45-30.

18.

Genome-wide association of meat quality traits and tenderness in swine.

Nonneman DJ, Shackelford SD, King DA, Wheeler TL, Wiedmann RT, Snelling WM, Rohrer GA.

J Anim Sci. 2013 Sep;91(9):4043-50. doi: 10.2527/jas.2013-6255. Epub 2013 Aug 13.

19.

Using 50 k single nucleotide polymorphisms to elucidate genomic architecture of line 1 hereford cattle.

Huang Y, Maltecca C, Macneil MD, Alexander LJ, Snelling WM, Cassady JP.

Front Genet. 2012 Dec 14;3:285. doi: 10.3389/fgene.2012.00285. eCollection 2012.

20.

Breeding and Genetics Symposium: networks and pathways to guide genomic selection.

Snelling WM, Cushman RA, Keele JW, Maltecca C, Thomas MG, Fortes MR, Reverter A.

J Anim Sci. 2013 Feb;91(2):537-52. doi: 10.2527/jas.2012-5784. Epub 2012 Oct 24.

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