360 related articles for article (PubMed ID: 29954342)
1. 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]
2. Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy.
Dai M; Wan X; Peng H; Wang Y; Liu Y; Liu J; Xu Z; Yang C
Bioinformatics; 2019 May; 35(10):1729-1736. PubMed ID: 30307540
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. LSMM: a statistical approach to integrating functional annotations with genome-wide association studies.
Ming J; Dai M; Cai M; Wan X; Liu J; Yang C
Bioinformatics; 2018 Aug; 34(16):2788-2796. PubMed ID: 29608640
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Pervasive pleiotropy between psychiatric disorders and immune disorders revealed by integrative analysis of multiple GWAS.
Wang Q; Yang C; Gelernter J; Zhao H
Hum Genet; 2015 Nov; 134(11-12):1195-209. PubMed ID: 26340901
[TBL] [Abstract][Full Text] [Related]
9. Bayesian weighted Mendelian randomization for causal inference based on summary statistics.
Zhao J; Ming J; Hu X; Chen G; Liu J; Yang C
Bioinformatics; 2020 Mar; 36(5):1501-1508. PubMed ID: 31593215
[TBL] [Abstract][Full Text] [Related]
10. Integrating disease and drug-related phenotypes for improved identification of pharmacogenomic variants.
Ouellette TW; Wright GE; Drögemöller BI; Ross CJ; Carleton BC
Pharmacogenomics; 2021 Apr; 22(5):251-261. PubMed ID: 33769074
[TBL] [Abstract][Full Text] [Related]
11. Genome-wide Pleiotropy Between Parkinson Disease and Autoimmune Diseases.
Witoelar A; Jansen IE; Wang Y; Desikan RS; Gibbs JR; Blauwendraat C; Thompson WK; Hernandez DG; Djurovic S; Schork AJ; Bettella F; Ellinghaus D; Franke A; Lie BA; McEvoy LK; Karlsen TH; Lesage S; Morris HR; Brice A; Wood NW; Heutink P; Hardy J; Singleton AB; Dale AM; Gasser T; Andreassen OA; Sharma M;
JAMA Neurol; 2017 Jul; 74(7):780-792. PubMed ID: 28586827
[TBL] [Abstract][Full Text] [Related]
12. LLR: a latent low-rank approach to colocalizing genetic risk variants in multiple GWAS.
Liu J; Wan X; Wang C; Yang C; Zhou X; Yang C
Bioinformatics; 2017 Dec; 33(24):3878-3886. PubMed ID: 28961754
[TBL] [Abstract][Full Text] [Related]
13. Improving SNP prioritization and pleiotropic architecture estimation by incorporating prior knowledge using graph-GPA.
Kim HJ; Yu Z; Lawson A; Zhao H; Chung D
Bioinformatics; 2018 Jun; 34(12):2139-2141. PubMed ID: 29432514
[TBL] [Abstract][Full Text] [Related]
14. CPAG: software for leveraging pleiotropy in GWAS to reveal similarity between human traits links plasma fatty acids and intestinal inflammation.
Wang L; Oehlers SH; Espenschied ST; Rawls JF; Tobin DM; Ko DC
Genome Biol; 2015 Sep; 16(1):190. PubMed ID: 26374098
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. A scalable approach to characterize pleiotropy across thousands of human diseases and complex traits using GWAS summary statistics.
Zhang Z; Jung J; Kim A; Suboc N; Gazal S; Mancuso N
Am J Hum Genet; 2023 Nov; 110(11):1863-1874. PubMed ID: 37879338
[TBL] [Abstract][Full Text] [Related]
17. Knowledge-based analysis of genetic associations of rheumatoid arthritis to inform studies searching for pleiotropic genes: a literature review and network analysis.
Zheng W; Rao S
Arthritis Res Ther; 2015 Aug; 17(1):202. PubMed ID: 26253105
[TBL] [Abstract][Full Text] [Related]
18. IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies.
Dai M; Ming J; Cai M; Liu J; Yang C; Wan X; Xu Z
Bioinformatics; 2017 Sep; 33(18):2882-2889. PubMed ID: 28498950
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. A fast algorithm for Bayesian multi-locus model in genome-wide association studies.
Duan W; Zhao Y; Wei Y; Yang S; Bai J; Shen S; Du M; Huang L; Hu Z; Chen F
Mol Genet Genomics; 2017 Aug; 292(4):923-934. PubMed ID: 28534238
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
