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Cited by in F6Publishing
For: Pei G, Sun H, Dai Y, Liu X, Zhao Z, Jia P. Investigation of multi-trait associations using pathway-based analysis of GWAS summary statistics. BMC Genomics 2019;20:79. [PMID: 30712509 DOI: 10.1186/s12864-018-5373-7] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 3.3] [Reference Citation Analysis]
Number Citing Articles
1 Dai Y, Pei G, Zhao Z, Jia P. A Convergent Study of Genetic Variants Associated With Crohn's Disease: Evidence From GWAS, Gene Expression, Methylation, eQTL and TWAS. Front Genet 2019;10:318. [PMID: 31024628 DOI: 10.3389/fgene.2019.00318] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
2 Pei G, Yan F, Simon LM, Dai Y, Jia P, Zhao Z. deCS: A tool for systematic cell type annotations of single-cell RNA sequencing data among human tissues. Genomics Proteomics Bioinformatics 2022:S1672-0229(22)00036-5. [PMID: 35470070 DOI: 10.1016/j.gpb.2022.04.001] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Smith J, Lipkin E, Soller M, Fulton JE, Burt DW. Mapping QTL Associated with Resistance to Avian Oncogenic Marek's Disease Virus (MDV) Reveals Major Candidate Genes and Variants. Genes (Basel) 2020;11:E1019. [PMID: 32872585 DOI: 10.3390/genes11091019] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
4 Dai Y, Hu R, Manuel AM, Liu A, Jia P, Zhao Z. CSEA-DB: an omnibus for human complex trait and cell type associations. Nucleic Acids Res 2021;49:D862-70. [PMID: 33211888 DOI: 10.1093/nar/gkaa1064] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
5 Pividori M, Rajagopal PS, Barbeira A, Liang Y, Melia O, Bastarache L, Park Y, Consortium G, Wen X, Im HK. PhenomeXcan: Mapping the genome to the phenome through the transcriptome. Sci Adv 2020;6:eaba2083. [PMID: 32917697 DOI: 10.1126/sciadv.aba2083] [Cited by in Crossref: 17] [Cited by in F6Publishing: 16] [Article Influence: 8.5] [Reference Citation Analysis]
6 Jia P, Dai Y, Hu R, Pei G, Manuel AM, Zhao Z. TSEA-DB: a trait-tissue association map for human complex traits and diseases. Nucleic Acids Res 2020;48:D1022-30. [PMID: 31680168 DOI: 10.1093/nar/gkz957] [Cited by in Crossref: 4] [Cited by in F6Publishing: 9] [Article Influence: 2.0] [Reference Citation Analysis]
7 Sheet S, Kim JS, Ko MJ, Kim NY, Lim YJ, Park MR, Lee SJ, Kim JM, Oh SI, Choi BH. Insight into the Candidate Genes and Enriched Pathways Associated with Height, Length, Length to Height Ratio and Body-Weight of Korean Indigenous Breed, Jindo Dog Using Gene Set Enrichment-Based GWAS Analysis. Animals (Basel) 2021;11:3136. [PMID: 34827868 DOI: 10.3390/ani11113136] [Reference Citation Analysis]
8 Fuller T, Reus V. Shared Genetics of Psychiatric Disorders. F1000Res 2019;8:F1000 Faculty Rev-1626. [PMID: 31559010 DOI: 10.12688/f1000research.18130.1] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
9 Dai Y, O'Brien TD, Pei G, Zhao Z, Jia P. Characterization of genome-wide association study data reveals spatiotemporal heterogeneity of mental disorders. BMC Med Genomics 2020;13:192. [PMID: 33371872 DOI: 10.1186/s12920-020-00832-8] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 He T, Li C. Harness the power of genomic selection and the potential of germplasm in crop breeding for global food security in the era with rapid climate change. The Crop Journal 2020;8:688-700. [DOI: 10.1016/j.cj.2020.04.005] [Cited by in Crossref: 6] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
11 Pei G, Hu R, Dai Y, Manuel AM, Zhao Z, Jia P. Predicting regulatory variants using a dense epigenomic mapped CNN model elucidated the molecular basis of trait-tissue associations. Nucleic Acids Res 2021;49:53-66. [PMID: 33300042 DOI: 10.1093/nar/gkaa1137] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
12 Jia P, Pei G, Zhao Z. CNet: a multi-omics approach to detecting clinically associated, combinatory genomic signatures. Bioinformatics 2019;35:5207-15. [PMID: 31141125 DOI: 10.1093/bioinformatics/btz441] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]