215 related articles for article (PubMed ID: 31321514)
1. Integrative analysis revealed potential causal genetic and epigenetic factors for multiple sclerosis.
Mo XB; Lei SF; Qian QY; Guo YF; Zhang YH; Zhang H
J Neurol; 2019 Nov; 266(11):2699-2709. PubMed ID: 31321514
[TBL] [Abstract][Full Text] [Related]
2. Mendelian randomization analysis revealed potential causal factors for systemic lupus erythematosus.
Mo X; Guo Y; Qian Q; Fu M; Lei S; Zhang Y; Zhang H
Immunology; 2020 Mar; 159(3):279-288. PubMed ID: 31670388
[TBL] [Abstract][Full Text] [Related]
3. Integrated multiple-microarray analysis and mendelian randomization to identify novel targets involved in diabetic nephropathy.
Fan C; Gao Y; Sun Y
Front Endocrinol (Lausanne); 2023; 14():1191768. PubMed ID: 37492198
[TBL] [Abstract][Full Text] [Related]
4. A gene regulatory network approach harmonizes genetic and epigenetic signals and reveals repurposable drug candidates for multiple sclerosis.
Manuel AM; Dai Y; Jia P; Freeman LA; Zhao Z
Hum Mol Genet; 2023 Mar; 32(6):998-1009. PubMed ID: 36282535
[TBL] [Abstract][Full Text] [Related]
5. Novel DNA methylation loci and genes showing pleiotropic association with Alzheimer's dementia: a network Mendelian randomization analysis.
Liu D; Wang Y; Jing H; Meng Q; Yang J
Epigenetics; 2022; 17(7):746-758. PubMed ID: 34461811
[TBL] [Abstract][Full Text] [Related]
6. Single-cell and genome-wide Mendelian randomization identifies causative genes for gout.
Yang Y; Hu P; Zhang Q; Ma B; Chen J; Wang B; Ma J; Liu D; Hao J; Zhou X
Arthritis Res Ther; 2024 Jun; 26(1):114. PubMed ID: 38831441
[TBL] [Abstract][Full Text] [Related]
7. Integrative analysis identifies potential causal methylation-mRNA regulation chains for rheumatoid arthritis.
Mo XB; Zhang YH; Lei SF
Mol Immunol; 2021 Mar; 131():89-96. PubMed ID: 33386149
[TBL] [Abstract][Full Text] [Related]
8. Function of multiple sclerosis-protective HLA class I alleles revealed by genome-wide protein-quantitative trait loci mapping of interferon signalling.
Lundtoft C; Pucholt P; Imgenberg-Kreuz J; Carlsson-Almlöf J; Eloranta ML; Syvänen AC; Nordmark G; Sandling JK; Kockum I; Olsson T; Rönnblom L; Hagberg N
PLoS Genet; 2020 Oct; 16(10):e1009199. PubMed ID: 33104735
[TBL] [Abstract][Full Text] [Related]
9. xWAS analysis in neuropsychiatric disorders by integrating multi-molecular phenotype quantitative trait loci and GWAS summary data.
Luo L; Pang T; Zheng H; Liufu C; Chang S
J Transl Med; 2024 Apr; 22(1):387. PubMed ID: 38664746
[TBL] [Abstract][Full Text] [Related]
10. Integrating genome-wide association study and expression quantitative trait loci data identifies NEGR1 as a causal risk gene of major depression disorder.
Wang X; Cheng W; Zhu J; Yin H; Chang S; Yue W; Yu H
J Affect Disord; 2020 Mar; 265():679-686. PubMed ID: 32090785
[TBL] [Abstract][Full Text] [Related]
11. An integrative approach to detect epigenetic mechanisms that putatively mediate the influence of lifestyle exposures on disease susceptibility.
Richardson TG; Richmond RC; North TL; Hemani G; Davey Smith G; Sharp GC; Relton CL
Int J Epidemiol; 2019 Jun; 48(3):887-898. PubMed ID: 31257439
[TBL] [Abstract][Full Text] [Related]
12. The relative contribution of DNA methylation and genetic variants on protein biomarkers for human diseases.
Ahsan M; Ek WE; Rask-Andersen M; Karlsson T; Lind-Thomsen A; Enroth S; Gyllensten U; Johansson Å
PLoS Genet; 2017 Sep; 13(9):e1007005. PubMed ID: 28915241
[TBL] [Abstract][Full Text] [Related]
13. Pleiotropic Effects of Trait-Associated Genetic Variation on DNA Methylation: Utility for Refining GWAS Loci.
Hannon E; Weedon M; Bray N; O'Donovan M; Mill J
Am J Hum Genet; 2017 Jun; 100(6):954-959. PubMed ID: 28528868
[TBL] [Abstract][Full Text] [Related]
14. Identification of a functional variant in the KIF5A-CYP27B1-METTL1-FAM119B locus associated with multiple sclerosis.
Alcina A; Fedetz M; Fernández O; Saiz A; Izquierdo G; Lucas M; Leyva L; García-León JA; Abad-Grau Mdel M; Alloza I; Antigüedad A; Garcia-Barcina MJ; Vandenbroeck K; Varadé J; de la Hera B; Arroyo R; Comabella M; Montalban X; Petit-Marty N; Navarro A; Otaegui D; Olascoaga J; Blanco Y; Urcelay E; Matesanz F
J Med Genet; 2013 Jan; 50(1):25-33. PubMed ID: 23160276
[TBL] [Abstract][Full Text] [Related]
15. The Effect of Peripheral Immune Cell Counts on the Risk of Multiple Sclerosis: A Mendelian Randomization Study.
He D; Liu L; Shen D; Zou P; Cui L
Front Immunol; 2022; 13():867693. PubMed ID: 35619713
[TBL] [Abstract][Full Text] [Related]
16. Epigenome-Wide Study Identified Methylation Sites Associated with the Risk of Obesity.
Nikpay M; Ravati S; Dent R; McPherson R
Nutrients; 2021 Jun; 13(6):. PubMed ID: 34207686
[TBL] [Abstract][Full Text] [Related]
17. Utilising multi-large omics data to elucidate biological mechanisms within multiple sclerosis genetic susceptibility loci.
Zhou Y; Cuellar-Partida G; Simpson Yap S; Lin X; Claflin S; Burdon K; Charlesworth J; Taylor B
Mult Scler; 2021 Dec; 27(14):2141-2149. PubMed ID: 33870794
[TBL] [Abstract][Full Text] [Related]
18. Dissecting shared genetic architecture between obesity and multiple sclerosis.
Zeng R; Jiang R; Huang W; Wang J; Zhang L; Ma Y; Wu Y; Meng M; Lan H; Lian Q; Leung FW; Sha W; Chen H
EBioMedicine; 2023 Jul; 93():104647. PubMed ID: 37300932
[TBL] [Abstract][Full Text] [Related]
19. Prioritization of risk genes in multiple sclerosis by a refined Bayesian framework followed by tissue-specificity and cell type feature assessment.
Liu A; Manuel AM; Dai Y; Zhao Z
BMC Genomics; 2022 May; 23(Suppl 4):362. PubMed ID: 35545758
[TBL] [Abstract][Full Text] [Related]
20. Functional relevance for multiple sclerosis-associated genetic variants.
Lin X; Deng FY; Mo XB; Wu LF; Lei SF
Immunogenetics; 2015 Jan; 67(1):7-14. PubMed ID: 25308886
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]