194 related articles for article (PubMed ID: 38728360)
21. Leveraging pleiotropy to discover and interpret GWAS results for sleep-associated traits.
Chun S; Akle S; Teodosiadis A; Cade BE; Wang H; Sofer T; Evans DS; Stone KL; Gharib SA; Mukherjee S; Palmer LJ; Hillman D; Rotter JI; Hanis CL; Stamatoyannopoulos JA; Redline S; Cotsapas C; Sunyaev SR
PLoS Genet; 2022 Dec; 18(12):e1010557. PubMed ID: 36574455
[TBL] [Abstract][Full Text] [Related]
22. Mendelian randomization and genetic colocalization infer the effects of the multi-tissue proteome on 211 complex disease-related phenotypes.
Yang C; Fagan AM; Perrin RJ; Rhinn H; Harari O; Cruchaga C
Genome Med; 2022 Dec; 14(1):140. PubMed ID: 36510323
[TBL] [Abstract][Full Text] [Related]
23. Efficient cross-trait penalized regression increases prediction accuracy in large cohorts using secondary phenotypes.
Chung W; Chen J; Turman C; Lindstrom S; Zhu Z; Loh PR; Kraft P; Liang L
Nat Commun; 2019 Feb; 10(1):569. PubMed ID: 30718517
[TBL] [Abstract][Full Text] [Related]
24. Canonical correlation analysis for gene-based pleiotropy discovery.
Seoane JA; Campbell C; Day IN; Casas JP; Gaunt TR
PLoS Comput Biol; 2014 Oct; 10(10):e1003876. PubMed ID: 25329069
[TBL] [Abstract][Full Text] [Related]
25. Backward genotype-transcript-phenotype association mapping.
Lee S; Wang H; Xing EP
Methods; 2017 Oct; 129():18-23. PubMed ID: 28917724
[TBL] [Abstract][Full Text] [Related]
26. Network regression analysis for binary and ordinal categorical phenotypes in transcriptome-wide association studies.
Zhang L; Ju T; Jin X; Ji J; Han J; Zhou X; Yuan Z
Genetics; 2022 Nov; 222(4):. PubMed ID: 36227056
[TBL] [Abstract][Full Text] [Related]
27. Multi-trait meta-analyses reveal 25 quantitative trait loci for economically important traits in Brown Swiss cattle.
Fang ZH; Pausch H
BMC Genomics; 2019 Sep; 20(1):695. PubMed ID: 31481029
[TBL] [Abstract][Full Text] [Related]
28. Conditional analysis of multiple quantitative traits based on marginal GWAS summary statistics.
Deng Y; Pan W
Genet Epidemiol; 2017 Jul; 41(5):427-436. PubMed ID: 28464407
[TBL] [Abstract][Full Text] [Related]
29. Joint association analysis of a binary and a quantitative trait in family samples.
Wang S; Meigs JB; Dupuis J
Eur J Hum Genet; 2016 Jan; 25(1):130-136. PubMed ID: 27782109
[TBL] [Abstract][Full Text] [Related]
30. PSEA: Phenotype Set Enrichment Analysis--a new method for analysis of multiple phenotypes.
Ried JS; Döring A; Oexle K; Meisinger C; Winkelmann J; Klopp N; Meitinger T; Peters A; Suhre K; Wichmann HE; Gieger C
Genet Epidemiol; 2012 Apr; 36(3):244-52. PubMed ID: 22714936
[TBL] [Abstract][Full Text] [Related]
31. 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]
32. A Powerful Method To Test Associations Between Ordinal Traits and Genotypes.
Wang J; Ding J; Huang S; Li Q; Pan D
G3 (Bethesda); 2019 Aug; 9(8):2573-2579. PubMed ID: 31167832
[TBL] [Abstract][Full Text] [Related]
33. SCOPA and META-SCOPA: software for the analysis and aggregation of genome-wide association studies of multiple correlated phenotypes.
Mägi R; Suleimanov YV; Clarke GM; Kaakinen M; Fischer K; Prokopenko I; Morris AP
BMC Bioinformatics; 2017 Jan; 18(1):25. PubMed ID: 28077070
[TBL] [Abstract][Full Text] [Related]
34. Genome wide association studies using a new nonparametric model reveal the genetic architecture of 17 agronomic traits in an enlarged maize association panel.
Yang N; Lu Y; Yang X; Huang J; Zhou Y; Ali F; Wen W; Liu J; Li J; Yan J
PLoS Genet; 2014 Sep; 10(9):e1004573. PubMed ID: 25211220
[TBL] [Abstract][Full Text] [Related]
35. A methodology for multivariate phenotype-based genome-wide association studies to mine pleiotropic genes.
Park SH; Lee JY; Kim S
BMC Syst Biol; 2011; 5 Suppl 2(Suppl 2):S13. PubMed ID: 22784570
[TBL] [Abstract][Full Text] [Related]
36. A summary-statistics-based approach to examine the role of serotonin transporter promoter tandem repeat polymorphism in psychiatric phenotypes.
Majumdar A; Patel P; Pasaniuc B; Ophoff RA
Eur J Hum Genet; 2022 May; 30(5):547-554. PubMed ID: 34949768
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. 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]
39. Multitrait genome association analysis identifies new susceptibility genes for human anthropometric variation in the GCAT cohort.
Galván-Femenía I; Obón-Santacana M; Piñeyro D; Guindo-Martinez M; Duran X; Carreras A; Pluvinet R; Velasco J; Ramos L; Aussó S; Mercader JM; Puig L; Perucho M; Torrents D; Moreno V; Sumoy L; de Cid R
J Med Genet; 2018 Nov; 55(11):765-778. PubMed ID: 30166351
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
