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Sensors 2017, 17(8), 1920; doi:10.3390/s17081920

Genome-Wide SNP Signal Intensity Scanning Revealed Genes Differentiating Cows with Ovarian Pathologies from Healthy Cows

Departamento de Posgrado, Universidad Estatal de Sonora, S.L.R.C., Sonora 83500, Mexico
Instituto de Investigaciones en Ciencias Veterinarias, Universidad Autónoma de Baja California, Baja California 21386, Mexico
Laboratorio de Bioinformática y Biofotonica, Instituto de Ingeniería, Universidad Autónoma de Baja California, Baja California 21100, Mexico
Department of Biology, University of Tampa, Tampa, FL 33606, USA
Authors to whom correspondence should be addressed.
Received: 19 May 2017 / Revised: 4 July 2017 / Accepted: 6 July 2017 / Published: 21 August 2017
(This article belongs to the Section Biosensors)
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Hypoplasia and ovarian cysts are the most common ovarian pathologies in cattle. In this genome-wide study we analyzed the signal intensity of 648,315 Single Nucleotide Polymorphisms (SNPs) and identified 1338 genes differentiating cows with ovarian pathologies from healthy cows. The sample consisted of six cows presenting an ovarian pathology and six healthy cows. SNP signal intensities were measured with a genotyping process using the Axiom Genome-Wide BOS 1 SNPchip. Statistical tests for equality of variance and mean were applied to SNP intensities, and significance p-values were obtained. A Benjamini-Hochberg multiple testing correction reveled significant SNPs. Corresponding genes were identified using the Bovine Genome UMD 3.1 annotation. Principal Components Analysis (PCA) confirmed differentiation. An analysis of Copy Number Variations (CNVs), obtained from signal intensities, revealed no evidence of association between ovarian pathologies and CNVs. In addition, a haplotype frequency analysis showed no association with ovarian pathologies. Results show that SNP signal intensity, which captures not only information for base-pair genotypes elucidation, but the amount of fluorescence nucleotide synthetization produced in an enzymatic reaction, is a rich source of information that, by itself or in combination with base-pair genotypes, might be used to implement differentiation, prediction and diagnostic procedures, increasing the scope of applications for Genotyping Microarrays. View Full-Text
Keywords: SNP; ovarian cysts; Holstein cattle; Axiom Genome-Wide Bos 1 array; bioinformatics SNP; ovarian cysts; Holstein cattle; Axiom Genome-Wide Bos 1 array; bioinformatics

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Salomón-Torres, R.; Montaño-Gómez, M.F.; Villa-Angulo, R.; González-Vizcarra, V.M.; Villa-Angulo, C.; Medina-Basulto, G.E.; Ortiz-Uribe, N.; Mahadevan, P.; Yaurima-Basaldúa, V.H. Genome-Wide SNP Signal Intensity Scanning Revealed Genes Differentiating Cows with Ovarian Pathologies from Healthy Cows. Sensors 2017, 17, 1920.

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