Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 20 of 45

1.

Multiple association analysis of loci and candidate genes that regulate body size at three growth stages in Simmental beef cattle.

An B, Xu L, Xia J, Wang X, Miao J, Chang T, Song M, Ni J, Xu L, Zhang L, Li J, Gao H.

BMC Genet. 2020 Mar 14;21(1):32. doi: 10.1186/s12863-020-0837-6.

2.

Weighted Single-Step Genome-Wide Association Study for Growth Traits in Chinese Simmental Beef Cattle.

Zhuang Z, Xu L, Yang J, Gao H, Zhang L, Gao X, Li J, Zhu B.

Genes (Basel). 2020 Feb 11;11(2). pii: E189. doi: 10.3390/genes11020189.

3.

Genomic Prediction and Association Analysis with Models Including Dominance Effects for Important Traits in Chinese Simmental Beef Cattle.

Liu Y, Xu L, Wang Z, Xu L, Chen Y, Zhang L, Xu L, Gao X, Gao H, Zhu B, Li J.

Animals (Basel). 2019 Dec 1;9(12). pii: E1055. doi: 10.3390/ani9121055.

4.

Genomic Patterns of Homozygosity in Chinese Local Cattle.

Xu L, Zhao G, Yang L, Zhu B, Chen Y, Zhang L, Gao X, Gao H, Liu GE, Li J.

Sci Rep. 2019 Nov 18;9(1):16977. doi: 10.1038/s41598-019-53274-3.

5.

Genome-wide association studies using binned genotypes.

An B, Gao X, Chang T, Xia J, Wang X, Miao J, Xu L, Zhang L, Chen Y, Li J, Xu S, Gao H.

Heredity (Edinb). 2020 Feb;124(2):288-298. doi: 10.1038/s41437-019-0279-y. Epub 2019 Oct 22.

PMID:
31641238
6.

Theoretical Evaluation of Multi-Breed Genomic Prediction in Chinese Indigenous Cattle.

Xu L, Wang Z, Zhu B, Liu Y, Li H, Bordbar F, Chen Y, Zhang L, Gao X, Gao H, Zhang S, Xu L, Li J.

Animals (Basel). 2019 Oct 11;9(10). pii: E789. doi: 10.3390/ani9100789.

7.

Identification of muscle-specific candidate genes in Simmental beef cattle using imputed next generation sequencing.

Bordbar F, Jensen J, Zhu B, Wang Z, Xu L, Chang T, Xu L, Du M, Zhang L, Gao H, Xu L, Li J.

PLoS One. 2019 Oct 10;14(10):e0223671. doi: 10.1371/journal.pone.0223671. eCollection 2019.

8.

Genome-wide scan reveals genetic divergence and diverse adaptive selection in Chinese local cattle.

Xu L, Yang L, Zhu B, Zhang W, Wang Z, Chen Y, Zhang L, Gao X, Gao H, Liu GE, Li J.

BMC Genomics. 2019 Jun 14;20(1):494. doi: 10.1186/s12864-019-5822-y.

9.

A Fast and Powerful Empirical Bayes Method for Genome-Wide Association Studies.

Chang T, Wei J, Liang M, An B, Wang X, Zhu B, Xu L, Zhang L, Gao X, Chen Y, Li J, Gao H.

Animals (Basel). 2019 May 31;9(6). pii: E305. doi: 10.3390/ani9060305.

10.

Genome-Wide Scan Identifies Selection Signatures in Chinese Wagyu Cattle Using a High-Density SNP Array.

Wang Z, Ma H, Xu L, Zhu B, Liu Y, Bordbar F, Chen Y, Zhang L, Gao X, Gao H, Zhang S, Xu L, Li J.

Animals (Basel). 2019 May 30;9(6). pii: E296. doi: 10.3390/ani9060296.

11.

Genome-wide association study identifies the PLAG1-OXR1 region on BTA14 for carcass meat yield in cattle.

Zhang R, Miao J, Song Y, Zhang W, Xu L, Chen Y, Zhang L, Gao H, Zhu B, Li J, Gao X.

Physiol Genomics. 2019 May 1;51(5):137-144. doi: 10.1152/physiolgenomics.00112.2018. Epub 2019 Mar 29.

PMID:
30925123
12.

Genome wide association study identifies SNPs associated with fatty acid composition in Chinese Wagyu cattle.

Wang Z, Zhu B, Niu H, Zhang W, Xu L, Xu L, Chen Y, Zhang L, Gao X, Gao H, Zhang S, Xu L, Li J.

J Anim Sci Biotechnol. 2019 Mar 4;10:27. doi: 10.1186/s40104-019-0322-0. eCollection 2019.

13.

Evaluation of Linkage Disequilibrium, Effective Population Size and Haplotype Block Structure in Chinese Cattle.

Xu L, Zhu B, Wang Z, Xu L, Liu Y, Chen Y, Zhang L, Gao X, Gao H, Zhang S, Xu L, Li J.

Animals (Basel). 2019 Mar 6;9(3). pii: E83. doi: 10.3390/ani9030083.

14.

Evaluation of GBLUP, BayesB and elastic net for genomic prediction in Chinese Simmental beef cattle.

Wang X, Miao J, Chang T, Xia J, An B, Li Y, Xu L, Zhang L, Gao X, Li J, Gao H.

PLoS One. 2019 Feb 28;14(2):e0210442. doi: 10.1371/journal.pone.0210442. eCollection 2019.

15.

Probe-based association analysis identifies several deletions associated with average daily gain in beef cattle.

Xu L, Yang L, Wang L, Zhu B, Chen Y, Gao H, Gao X, Zhang L, Liu GE, Li J.

BMC Genomics. 2019 Jan 10;20(1):31. doi: 10.1186/s12864-018-5403-5.

16.

Genome-wide assessment of genetic diversity and population structure insights into admixture and introgression in Chinese indigenous cattle.

Zhang W, Gao X, Zhang Y, Zhao Y, Zhang J, Jia Y, Zhu B, Xu L, Zhang L, Gao H, Li J, Chen Y.

BMC Genet. 2018 Dec 20;19(1):114. doi: 10.1186/s12863-018-0705-9.

17.

PCA-Based Multiple-Trait GWAS Analysis: A Powerful Model for Exploring Pleiotropy.

Zhang W, Gao X, Shi X, Zhu B, Wang Z, Gao H, Xu L, Zhang L, Li J, Chen Y.

Animals (Basel). 2018 Dec 17;8(12). pii: E239. doi: 10.3390/ani8120239.

18.

Selection and effectiveness of informative SNPs for paternity in Chinese Simmental cattle based on a high-density SNP array.

Zhang T, Guo L, Shi M, Xu L, Chen Y, Zhang L, Gao H, Li J, Gao X.

Gene. 2018 Oct 5;673:211-216. doi: 10.1016/j.gene.2018.06.054. Epub 2018 Jun 19.

PMID:
29933017
19.

Genome-wide association study identifies loci and candidate genes for internal organ weights in Simmental beef cattle.

An B, Xia J, Chang T, Wang X, Miao J, Xu L, Zhang L, Gao X, Chen Y, Li J, Gao H.

Physiol Genomics. 2018 Jul 1;50(7):523-531. doi: 10.1152/physiolgenomics.00022.2018. Epub 2018 Apr 20.

PMID:
29676954
20.

Fast genomic prediction of breeding values using parallel Markov chain Monte Carlo with convergence diagnosis.

Guo P, Zhu B, Niu H, Wang Z, Liang Y, Chen Y, Zhang L, Ni H, Guo Y, Hay EHA, Gao X, Gao H, Wu X, Xu L, Li J.

BMC Bioinformatics. 2018 Jan 3;19(1):3. doi: 10.1186/s12859-017-2003-3.

Supplemental Content

Loading ...
Support Center