Genome-Wide Association Study

Genome-wide analysis of salinity-stress induced DNA methylation alterations in cotton (Gossypium hirsutum L.) using the Me-DIP sequencing technology.

X. K. Lu, Shu, N., Wang, J. J., Chen, X. G., Wang, D. L., Wang, S., Fan, W. L., Guo, X. N., Guo, L. X., and Ye, W. W., “Genome-wide analysis of salinity-stress induced DNA methylation alterations in cotton (Gossypium hirsutum L.) using the Me-DIP sequencing technology.”, Genet Mol Res, vol. 16, no. 2, 2017.

Genetic correlation and genome-wide association study (GWAS) of the length of productive life, days open, and 305-days milk yield in crossbred Holstein dairy cattle.

P. Saowaphak, Duangjinda, M., Plaengkaeo, S., Suwannasing, R., and Boonkum, W., “Genetic correlation and genome-wide association study (GWAS) of the length of productive life, days open, and 305-days milk yield in crossbred Holstein dairy cattle.”, Genet Mol Res, vol. 16, no. 2, 2017.

Genome-wide association analysis of body conformation traits in Mexican Holstein cattle using a mix of sampled and imputed SNP genotypes.

M. E. González, González, V. M., Montaño, M. F., Medina, G. E., Mahadevan, P., Villa, C., and Villa, R., “Genome-wide association analysis of body conformation traits in Mexican Holstein cattle using a mix of sampled and imputed SNP genotypes.”, Genet Mol Res, vol. 16, no. 2, 2017.

mRNA and protein expression levels of four candidate genes for ear size in Erhualian and Large White pigs.

L. C. Zhang, Liang, J., Pu, L., Zhang, Y. B., Wang, L. G., Liu, X., Yan, H., and Wang, L. X., “mRNA and protein expression levels of four candidate genes for ear size in Erhualian and Large White pigs.”, Genet Mol Res, vol. 16, no. 2, 2017.

Identification of 19 loci for reproductive traits in a local Chinese chicken by genome-wide study.

Q. C. Fan, Wu, P. F., Dai, G. J., Zhang, G. X., Zhang, T., Xue, Q., Shi, H. Q., and Wang, J. Y., “Identification of 19 loci for reproductive traits in a local Chinese chicken by genome-wide study.”, Genet Mol Res, vol. 16, no. 1, 2017.

Parameters of a dynamic mechanistic model of cattle growth retain enough biological interpretation for genotype-to-phenotype mapping.

M. C. Freua, Santana, M. H. A., Ventura, R. V., and Ferraz, J. B. S., “Parameters of a dynamic mechanistic model of cattle growth retain enough biological interpretation for genotype-to-phenotype mapping.”, Genet Mol Res, vol. 15, no. 4, 2016.