196 related articles for article (PubMed ID: 35505207)
1. Cell Type-Specific Signal Analysis in Epigenome-Wide Association Studies.
Breeze CE
Methods Mol Biol; 2022; 2432():57-71. PubMed ID: 35505207
[TBL] [Abstract][Full Text] [Related]
2. eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data.
Breeze CE; Paul DS; van Dongen J; Butcher LM; Ambrose JC; Barrett JE; Lowe R; Rakyan VK; Iotchkova V; Frontini M; Downes K; Ouwehand WH; Laperle J; Jacques PÉ; Bourque G; Bergmann AK; Siebert R; Vellenga E; Saeed S; Matarese F; Martens JHA; Stunnenberg HG; Teschendorff AE; Herrero J; Birney E; Dunham I; Beck S
Cell Rep; 2016 Nov; 17(8):2137-2150. PubMed ID: 27851974
[TBL] [Abstract][Full Text] [Related]
3. Computationally inferred cell-type specific epigenome-wide DNA methylation analysis unveils distinct methylation patterns among immune cells for HIV infection in three cohorts.
Zhang X; Hu Y; Vandenhoudt RE; Yan C; Marconi VC; Cohen MH; Wang Z; Justice AC; Aouizerat BE; Xu K
PLoS Pathog; 2024 Mar; 20(3):e1012063. PubMed ID: 38466776
[TBL] [Abstract][Full Text] [Related]
4. EWAS: epigenome-wide association study software 2.0.
Xu J; Zhao L; Liu D; Hu S; Song X; Li J; Lv H; Duan L; Zhang M; Jiang Q; Liu G; Jin S; Liao M; Zhang M; Feng R; Kong F; Xu L; Jiang Y
Bioinformatics; 2018 Aug; 34(15):2657-2658. PubMed ID: 29566144
[TBL] [Abstract][Full Text] [Related]
5. A comparison of the genes and genesets identified by GWAS and EWAS of fifteen complex traits.
Battram T; Gaunt TR; Relton CL; Timpson NJ; Hemani G
Nat Commun; 2022 Dec; 13(1):7816. PubMed ID: 36535946
[TBL] [Abstract][Full Text] [Related]
6. EWAS Atlas: a curated knowledgebase of epigenome-wide association studies.
Li M; Zou D; Li Z; Gao R; Sang J; Zhang Y; Li R; Xia L; Zhang T; Niu G; Bao Y; Zhang Z
Nucleic Acids Res; 2019 Jan; 47(D1):D983-D988. PubMed ID: 30364969
[TBL] [Abstract][Full Text] [Related]
7. DNA Methylation and Ischemic Stroke Risk: An Epigenome-Wide Association Study.
Cullell N; Soriano-Tárraga C; Gallego-Fábrega C; Cárcel-Márquez J; Torres-Águila NP; Muiño E; Lledós M; Llucià-Carol L; Esteller M; Castro de Moura M; Montaner J; Fernández-Sanlés A; Elosua R; Delgado P; Martí-Fábregas J; Krupinski J; Roquer J; Jiménez-Conde J; Fernández-Cadenas I
Thromb Haemost; 2022 Oct; 122(10):1767-1778. PubMed ID: 35717949
[TBL] [Abstract][Full Text] [Related]
8. Identification of differentially methylated cell types in epigenome-wide association studies.
Zheng SC; Breeze CE; Beck S; Teschendorff AE
Nat Methods; 2018 Dec; 15(12):1059-1066. PubMed ID: 30504870
[TBL] [Abstract][Full Text] [Related]
9. Epigenomic profiling of isolated blood cell types reveals highly specific B cell smoking signatures and links to disease risk.
Wang X; Campbell MR; Cho HY; Pittman GS; Martos SN; Bell DA
Clin Epigenetics; 2023 May; 15(1):90. PubMed ID: 37231515
[TBL] [Abstract][Full Text] [Related]
10. Identification of
Faltus C; Lahnsteiner A; Barrdahl M; Assenov Y; Hüsing A; Bogatyrova O; Laplana M; Johnson T; Muley T; Meister M; Warth A; Thomas M; Plass C; Kaaks R; Risch A
Int J Mol Sci; 2022 Sep; 23(18):. PubMed ID: 36142605
[TBL] [Abstract][Full Text] [Related]
11. Cell-type deconvolution in epigenome-wide association studies: a review and recommendations.
Teschendorff AE; Zheng SC
Epigenomics; 2017 May; 9(5):757-768. PubMed ID: 28517979
[TBL] [Abstract][Full Text] [Related]
12. eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data.
Breeze CE; Reynolds AP; van Dongen J; Dunham I; Lazar J; Neph S; Vierstra J; Bourque G; Teschendorff AE; Stamatoyannopoulos JA; Beck S
Bioinformatics; 2019 Nov; 35(22):4767-4769. PubMed ID: 31161210
[TBL] [Abstract][Full Text] [Related]
13. Epigenome-wide association study of lung function in Latino children and youth with asthma.
Herrera-Luis E; Li A; Mak ACY; Perez-Garcia J; Elhawary JR; Oh SS; Hu D; Eng C; Keys KL; Huntsman S; Beckman KB; Borrell LN; Rodriguez-Santana J; Burchard EG; Pino-Yanes M
Clin Epigenetics; 2022 Jan; 14(1):9. PubMed ID: 35033200
[TBL] [Abstract][Full Text] [Related]
14. Estimation of a significance threshold for epigenome-wide association studies.
Saffari A; Silver MJ; Zavattari P; Moi L; Columbano A; Meaburn EL; Dudbridge F
Genet Epidemiol; 2018 Feb; 42(1):20-33. PubMed ID: 29034560
[TBL] [Abstract][Full Text] [Related]
15. Case-control meta-analysis of blood DNA methylation and autism spectrum disorder.
Andrews SV; Sheppard B; Windham GC; Schieve LA; Schendel DE; Croen LA; Chopra P; Alisch RS; Newschaffer CJ; Warren ST; Feinberg AP; Fallin MD; Ladd-Acosta C
Mol Autism; 2018; 9():40. PubMed ID: 29988321
[TBL] [Abstract][Full Text] [Related]
16. DiMmer: Discovery of Differentially Methylated Regions in Epigenome-Wide Association Study (EWAS) Data.
Frisch T; Gøttcke J; Röttger R; Tan Q; Baumbach J
Methods Mol Biol; 2018; 1807():51-62. PubMed ID: 30030803
[TBL] [Abstract][Full Text] [Related]
17. Epigenome-wide association studies in asthma: A systematic review.
Edris A; den Dekker HT; Melén E; Lahousse L
Clin Exp Allergy; 2019 Jul; 49(7):953-968. PubMed ID: 31009112
[TBL] [Abstract][Full Text] [Related]
18. Epigenome-wide Association Study of Attention-Deficit/Hyperactivity Disorder Symptoms in Adults.
van Dongen J; Zilhão NR; Sugden K; ; Hannon EJ; Mill J; Caspi A; Agnew-Blais J; Arseneault L; Corcoran DL; Moffitt TE; Poulton R; Franke B; Boomsma DI
Biol Psychiatry; 2019 Oct; 86(8):599-607. PubMed ID: 31003786
[TBL] [Abstract][Full Text] [Related]
19. Estimands in epigenome-wide association studies.
Kruppa J; Sieg M; Richter G; Pohrt A
Clin Epigenetics; 2021 Apr; 13(1):98. PubMed ID: 33926513
[TBL] [Abstract][Full Text] [Related]
20. EWAS: epigenome-wide association studies software 1.0 - identifying the association between combinations of methylation levels and diseases.
Xu J; Liu D; Zhao L; Li Y; Wang Z; Chen Y; Lei C; Gao L; Kong F; Yuan L; Jiang Y
Sci Rep; 2016 Nov; 6():37951. PubMed ID: 27892496
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
