747 related articles for article (PubMed ID: 26657631)
1. HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease.
Ward LD; Kellis M
Nucleic Acids Res; 2016 Jan; 44(D1):D877-81. PubMed ID: 26657631
[TBL] [Abstract][Full Text] [Related]
2. HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants.
Ward LD; Kellis M
Nucleic Acids Res; 2012 Jan; 40(Database issue):D930-4. PubMed ID: 22064851
[TBL] [Abstract][Full Text] [Related]
3. Joint Bayesian inference of risk variants and tissue-specific epigenomic enrichments across multiple complex human diseases.
Li Y; Kellis M
Nucleic Acids Res; 2016 Oct; 44(18):e144. PubMed ID: 27407109
[TBL] [Abstract][Full Text] [Related]
4. Prediction of causal genes and gene expression analysis of attention-deficit hyperactivity disorder in the different brain region, a comprehensive integrative analysis of ADHD.
Fahira A; Li Z; Liu N; Shi Y
Behav Brain Res; 2019 May; 364():183-192. PubMed ID: 30738099
[TBL] [Abstract][Full Text] [Related]
5. Endometrial vezatin and its association with endometriosis risk.
Holdsworth-Carson SJ; Fung JN; Luong HT; Sapkota Y; Bowdler LM; Wallace L; Teh WT; Powell JE; Girling JE; Healey M; Montgomery GW; Rogers PA
Hum Reprod; 2016 May; 31(5):999-1013. PubMed ID: 27005890
[TBL] [Abstract][Full Text] [Related]
6. Most brain disease-associated and eQTL haplotypes are not located within transcription factor DNase-seq footprints in brain.
Handel AE; Gallone G; Zameel Cader M; Ponting CP
Hum Mol Genet; 2017 Jan; 26(1):79-89. PubMed ID: 27798116
[TBL] [Abstract][Full Text] [Related]
7. Specific correlation between the major chromosome 10q26 haplotype conferring risk for age-related macular degeneration and the expression of
Liao SM; Zheng W; Zhu J; Lewis CA; Delgado O; Crowley MA; Buchanan NM; Jaffee BD; Dryja TP
Mol Vis; 2017; 23():318-333. PubMed ID: 28659708
[TBL] [Abstract][Full Text] [Related]
8. Separating the wheat from the chaff: systematic identification of functionally relevant noncoding variants in ADHD.
Tong JH; Hawi Z; Dark C; Cummins TD; Johnson BP; Newman DP; Lau R; Vance A; Heussler HS; Matthews N; Bellgrove MA; Pang KC
Mol Psychiatry; 2016 Nov; 21(11):1589-1598. PubMed ID: 27113999
[TBL] [Abstract][Full Text] [Related]
9. Enrichment of colorectal cancer associations in functional regions: Insight for using epigenomics data in the analysis of whole genome sequence-imputed GWAS data.
Bien SA; Auer PL; Harrison TA; Qu C; Connolly CM; Greenside PG; Chen S; Berndt SI; Bézieau S; Kang HM; Huyghe J; Brenner H; Casey G; Chan AT; Hopper JL; Banbury BL; Chang-Claude J; Chanock SJ; Haile RW; Hoffmeister M; Fuchsberger C; Jenkins MA; Leal SM; Lemire M; Newcomb PA; Gallinger S; Potter JD; Schoen RE; Slattery ML; Smith JD; Le Marchand L; White E; Zanke BW; Abeçasis GR; Carlson CS; Peters U; Nickerson DA; Kundaje A; Hsu L;
PLoS One; 2017; 12(11):e0186518. PubMed ID: 29161273
[TBL] [Abstract][Full Text] [Related]
10. GWAS4D: multidimensional analysis of context-specific regulatory variant for human complex diseases and traits.
Huang D; Yi X; Zhang S; Zheng Z; Wang P; Xuan C; Sham PC; Wang J; Li MJ
Nucleic Acids Res; 2018 Jul; 46(W1):W114-W120. PubMed ID: 29771388
[TBL] [Abstract][Full Text] [Related]
11. Leveraging allelic imbalance to refine fine-mapping for eQTL studies.
Zou J; Hormozdiari F; Jew B; Castel SE; Lappalainen T; Ernst J; Sul JH; Eskin E
PLoS Genet; 2019 Dec; 15(12):e1008481. PubMed ID: 31834882
[TBL] [Abstract][Full Text] [Related]
12. Comprehensive evaluation of disease- and trait-specific enrichment for eight functional elements among GWAS-identified variants.
Markunas CA; Johnson EO; Hancock DB
Hum Genet; 2017 Jul; 136(7):911-919. PubMed ID: 28567521
[TBL] [Abstract][Full Text] [Related]
13. A comprehensive integrated post-GWAS analysis of Type 1 diabetes reveals enhancer-based immune dysregulation.
Kim SS; Hudgins AD; Yang J; Zhu Y; Tu Z; Rosenfeld MG; DiLorenzo TP; Suh Y
PLoS One; 2021; 16(9):e0257265. PubMed ID: 34529725
[TBL] [Abstract][Full Text] [Related]
14. Multitissue H3K27ac profiling of GTEx samples links epigenomic variation to disease.
Hou L; Xiong X; Park Y; Boix C; James B; Sun N; He L; Patel A; Zhang Z; Molinie B; Van Wittenberghe N; Steelman S; Nusbaum C; Aguet F; Ardlie KG; Kellis M
Nat Genet; 2023 Oct; 55(10):1665-1676. PubMed ID: 37770633
[TBL] [Abstract][Full Text] [Related]
15. Predicting regulatory variants using a dense epigenomic mapped CNN model elucidated the molecular basis of trait-tissue associations.
Pei G; Hu R; Dai Y; Manuel AM; Zhao Z; Jia P
Nucleic Acids Res; 2021 Jan; 49(1):53-66. PubMed ID: 33300042
[TBL] [Abstract][Full Text] [Related]
16. Single-cell epigenomic analyses implicate candidate causal variants at inherited risk loci for Alzheimer's and Parkinson's diseases.
Corces MR; Shcherbina A; Kundu S; Gloudemans MJ; Frésard L; Granja JM; Louie BH; Eulalio T; Shams S; Bagdatli ST; Mumbach MR; Liu B; Montine KS; Greenleaf WJ; Kundaje A; Montgomery SB; Chang HY; Montine TJ
Nat Genet; 2020 Nov; 52(11):1158-1168. PubMed ID: 33106633
[TBL] [Abstract][Full Text] [Related]
17. GREGOR: evaluating global enrichment of trait-associated variants in epigenomic features using a systematic, data-driven approach.
Schmidt EM; Zhang J; Zhou W; Chen J; Mohlke KL; Chen YE; Willer CJ
Bioinformatics; 2015 Aug; 31(16):2601-6. PubMed ID: 25886982
[TBL] [Abstract][Full Text] [Related]
18. cepip: context-dependent epigenomic weighting for prioritization of regulatory variants and disease-associated genes.
Li MJ; Li M; Liu Z; Yan B; Pan Z; Huang D; Liang Q; Ying D; Xu F; Yao H; Wang P; Kocher JA; Xia Z; Sham PC; Liu JS; Wang J
Genome Biol; 2017 Mar; 18(1):52. PubMed ID: 28302177
[TBL] [Abstract][Full Text] [Related]
19. Allele-specific transcription factor binding in liver and cervix cells unveils many likely drivers of GWAS signals.
Cavalli M; Pan G; Nord H; Wallén Arzt E; Wallerman O; Wadelius C
Genomics; 2016 Jun; 107(6):248-54. PubMed ID: 27126307
[TBL] [Abstract][Full Text] [Related]
20. Understanding the role of corneal biomechanics-associated genetic variants by bioinformatic analyses.
Sun X; Gao X; Mu BK; Wang Y
Int Ophthalmol; 2022 Mar; 42(3):981-988. PubMed ID: 34642840
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
