These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
1772 related articles for article (PubMed ID: 31021400)
1. Pleiotropy informed adaptive association test of multiple traits using genome-wide association study summary data. Masotti M; Guo B; Wu B Biometrics; 2019 Dec; 75(4):1076-1085. PubMed ID: 31021400 [TBL] [Abstract][Full Text] [Related]
2. Powerful and efficient SNP-set association tests across multiple phenotypes using GWAS summary data. Guo B; Wu B Bioinformatics; 2019 Apr; 35(8):1366-1372. PubMed ID: 30239606 [TBL] [Abstract][Full Text] [Related]
3. Integrate multiple traits to detect novel trait-gene association using GWAS summary data with an adaptive test approach. Guo B; Wu B Bioinformatics; 2019 Jul; 35(13):2251-2257. PubMed ID: 30476000 [TBL] [Abstract][Full Text] [Related]
4. Methods for meta-analysis of multiple traits using GWAS summary statistics. Ray D; Boehnke M Genet Epidemiol; 2018 Mar; 42(2):134-145. PubMed ID: 29226385 [TBL] [Abstract][Full Text] [Related]
5. Testing Genetic Pleiotropy with GWAS Summary Statistics for Marginal and Conditional Analyses. Deng Y; Pan W Genetics; 2017 Dec; 207(4):1285-1299. PubMed ID: 28971959 [TBL] [Abstract][Full Text] [Related]
6. PRIMe: a method for characterization and evaluation of pleiotropic regions from multiple genome-wide association studies. Huang J; Johnson AD; O'Donnell CJ Bioinformatics; 2011 May; 27(9):1201-6. PubMed ID: 21398673 [TBL] [Abstract][Full Text] [Related]
7. GPA: a statistical approach to prioritizing GWAS results by integrating pleiotropy and annotation. Chung D; Yang C; Li C; Gelernter J; Zhao H PLoS Genet; 2014 Nov; 10(11):e1004787. PubMed ID: 25393678 [TBL] [Abstract][Full Text] [Related]
8. LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies. Yang Y; Dai M; Huang J; Lin X; Yang C; Chen M; Liu J BMC Genomics; 2018 Jun; 19(1):503. PubMed ID: 29954342 [TBL] [Abstract][Full Text] [Related]
9. JASPER: Fast, powerful, multitrait association testing in structured samples gives insight on pleiotropy in gene expression. Mbatchou J; McPeek MS Am J Hum Genet; 2024 Aug; 111(8):1750-1769. PubMed ID: 39025064 [TBL] [Abstract][Full Text] [Related]
10. Investigation of multi-trait associations using pathway-based analysis of GWAS summary statistics. Pei G; Sun H; Dai Y; Liu X; Zhao Z; Jia P BMC Genomics; 2019 Feb; 20(Suppl 1):79. PubMed ID: 30712509 [TBL] [Abstract][Full Text] [Related]
11. Genome-wide large-scale multi-trait analysis characterizes global patterns of pleiotropy and unique trait-specific variants. Qi G; Chhetri SB; Ray D; Dutta D; Battle A; Bhattacharjee S; Chatterjee N Nat Commun; 2024 Aug; 15(1):6985. PubMed ID: 39143063 [TBL] [Abstract][Full Text] [Related]
12. How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures? Veturi Y; Ritchie MD Pac Symp Biocomput; 2018; 23():228-239. PubMed ID: 29218884 [TBL] [Abstract][Full Text] [Related]
13. multi-GPA-Tree: Statistical approach for pleiotropy informed and functional annotation tree guided prioritization of GWAS results. Khatiwada A; Yilmaz AS; Wolf BJ; Pietrzak M; Chung D PLoS Comput Biol; 2023 Dec; 19(12):e1011686. PubMed ID: 38060592 [TBL] [Abstract][Full Text] [Related]
14. A powerful method for pleiotropic analysis under composite null hypothesis identifies novel shared loci between Type 2 Diabetes and Prostate Cancer. Ray D; Chatterjee N PLoS Genet; 2020 Dec; 16(12):e1009218. PubMed ID: 33290408 [TBL] [Abstract][Full Text] [Related]
15. Meta-analysis of set-based multiple phenotype association test based on GWAS summary statistics from different cohorts. Zhu L; Zhang S; Sha Q Front Genet; 2024; 15():1359591. PubMed ID: 39301532 [TBL] [Abstract][Full Text] [Related]
16. Cross-Phenotype Association Analysis Using Summary Statistics from GWAS. Li X; Zhu X Methods Mol Biol; 2017; 1666():455-467. PubMed ID: 28980259 [TBL] [Abstract][Full Text] [Related]
17. Estimating and testing pleiotropy of single genetic variant for two quantitative traits. Zhang Q; Feitosa M; Borecki IB Genet Epidemiol; 2014 Sep; 38(6):523-30. PubMed ID: 25044106 [TBL] [Abstract][Full Text] [Related]
18. An Adaptive Association Test for Multiple Phenotypes with GWAS Summary Statistics. Kim J; Bai Y; Pan W Genet Epidemiol; 2015 Dec; 39(8):651-63. PubMed ID: 26493956 [TBL] [Abstract][Full Text] [Related]
19. graph-GPA: A graphical model for prioritizing GWAS results and investigating pleiotropic architecture. Chung D; Kim HJ; Zhao H PLoS Comput Biol; 2017 Feb; 13(2):e1005388. PubMed ID: 28212402 [TBL] [Abstract][Full Text] [Related]
20. Powerful statistical method to detect disease-associated genes using publicly available genome-wide association studies summary data. Zhang J; Zhao Z; Guo X; Guo B; Wu B Genet Epidemiol; 2019 Dec; 43(8):941-951. PubMed ID: 31392781 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]