Galimberti G - Search Results

1

Genome-wide association studies for 30 haematological and blood clinical-biochemical traits in Large White pigs reveal genomic regions affecting intermediate phenotypes.

Bovo S, Mazzoni G, Bertolini F, Schiavo G, Galimberti G, Gallo M, Dall'Olio S, Fontanesi L. Bovo S, et al. Among authors: galimberti g. Sci Rep. 2019 May 7;9(1):7003. doi: 10.1038/s41598-019-43297-1. Sci Rep. 2019. PMID: 31065004 Free PMC article.

2

Microarray gene expression analysis of porcine skeletal muscle sampled at several post mortem time points.

Fontanesi L, Galimberti G, Calò DG, Colombo M, Astolfi A, Formica S, Russo V. Fontanesi L, et al. Among authors: galimberti g. Meat Sci. 2011 Aug;88(4):604-9. doi: 10.1016/j.meatsci.2011.02.001. Epub 2011 Feb 17. Meat Sci. 2011. PMID: 21414728

3

Identification and association analysis of several hundred single nucleotide polymorphisms within candidate genes for back fat thickness in Italian Large White pigs using a selective genotyping approach.

Fontanesi L, Galimberti G, Calò DG, Fronza R, Martelli PL, Scotti E, Colombo M, Schiavo G, Casadio R, Buttazzoni L, Russo V. Fontanesi L, et al. Among authors: galimberti g. J Anim Sci. 2012 Aug;90(8):2450-64. doi: 10.2527/jas.2011-4797. Epub 2012 Feb 24. J Anim Sci. 2012. PMID: 22367074

4

A genome wide association study for backfat thickness in Italian Large White pigs highlights new regions affecting fat deposition including neuronal genes.

Fontanesi L, Schiavo G, Galimberti G, Calò DG, Scotti E, Martelli PL, Buttazzoni L, Casadio R, Russo V. Fontanesi L, et al. Among authors: galimberti g. BMC Genomics. 2012 Nov 15;13:583. doi: 10.1186/1471-2164-13-583. BMC Genomics. 2012. PMID: 23153328 Free PMC article.

5

A genomewide association study for average daily gain in Italian Large White pigs.

Fontanesi L, Schiavo G, Galimberti G, Calò DG, Russo V. Fontanesi L, et al. Among authors: galimberti g. J Anim Sci. 2014 Apr;92(4):1385-94. doi: 10.2527/jas.2013-7059. Epub 2014 Feb 10. J Anim Sci. 2014. PMID: 24663154

6

A candidate gene association study for nine economically important traits in Italian Holstein cattle.

Fontanesi L, Calò DG, Galimberti G, Negrini R, Marino R, Nardone A, Ajmone-Marsan P, Russo V. Fontanesi L, et al. Among authors: galimberti g. Anim Genet. 2014 Aug;45(4):576-80. doi: 10.1111/age.12164. Epub 2014 May 2. Anim Genet. 2014. PMID: 24796806

7

Copy number variants in Italian Large White pigs detected using high-density single nucleotide polymorphisms and their association with back fat thickness.

Schiavo G, Dolezal MA, Scotti E, Bertolini F, Calò DG, Galimberti G, Russo V, Fontanesi L. Schiavo G, et al. Among authors: galimberti g. Anim Genet. 2014 Oct;45(5):745-9. doi: 10.1111/age.12180. Epub 2014 Jun 24. Anim Genet. 2014. PMID: 24961592

8

A retrospective analysis of allele frequency changes of major genes during 20 years of selection in the Italian Large White pig breed.

Fontanesi L, Schiavo G, Scotti E, Galimberti G, Calò DG, Samorè AB, Gallo M, Russo V, Buttazzoni L. Fontanesi L, et al. Among authors: galimberti g. J Anim Breed Genet. 2015 Jun;132(3):239-46. doi: 10.1111/jbg.12127. Epub 2015 Mar 1. J Anim Breed Genet. 2015. PMID: 25727360

9

Combined use of principal component analysis and random forests identify population-informative single nucleotide polymorphisms: application in cattle breeds.

Bertolini F, Galimberti G, Calò DG, Schiavo G, Matassino D, Fontanesi L. Bertolini F, et al. Among authors: galimberti g. J Anim Breed Genet. 2015 Oct;132(5):346-56. doi: 10.1111/jbg.12155. Epub 2015 Mar 17. J Anim Breed Genet. 2015. PMID: 25781205

10

Deconstructing the pig sex metabolome: Targeted metabolomics in heavy pigs revealed sexual dimorphisms in plasma biomarkers and metabolic pathways.

Bovo S, Mazzoni G, Calò DG, Galimberti G, Fanelli F, Mezzullo M, Schiavo G, Scotti E, Manisi A, Samoré AB, Bertolini F, Trevisi P, Bosi P, Dall'Olio S, Pagotto U, Fontanesi L. Bovo S, et al. Among authors: galimberti g. J Anim Sci. 2015 Dec;93(12):5681-93. doi: 10.2527/jas.2015-9528. J Anim Sci. 2015. PMID: 26641177

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