202 related articles for article (PubMed ID: 27153677)
1. Assessing statistical significance in multivariable genome wide association analysis.
Buzdugan L; Kalisch M; Navarro A; Schunk D; Fehr E; Bühlmann P
Bioinformatics; 2016 Jul; 32(13):1990-2000. PubMed ID: 27153677
[TBL] [Abstract][Full Text] [Related]
2. Finding type 2 diabetes causal single nucleotide polymorphism combinations and functional modules from genome-wide association data.
Kang C; Yu H; Yi GS
BMC Med Inform Decis Mak; 2013; 13 Suppl 1(Suppl 1):S3. PubMed ID: 23566118
[TBL] [Abstract][Full Text] [Related]
3. Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests.
Nguyen TT; Huang J; Wu Q; Nguyen T; Li M
BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S5. PubMed ID: 25708662
[TBL] [Abstract][Full Text] [Related]
4. GWIS--model-free, fast and exhaustive search for epistatic interactions in case-control GWAS.
Goudey B; Rawlinson D; Wang Q; Shi F; Ferra H; Campbell RM; Stern L; Inouye MT; Ong CS; Kowalczyk A
BMC Genomics; 2013; 14 Suppl 3(Suppl 3):S10. PubMed ID: 23819779
[TBL] [Abstract][Full Text] [Related]
5. A multi-SNP association test for complex diseases incorporating an optimal P-value threshold algorithm in nuclear families.
Wang YT; Sung PY; Lin PL; Yu YW; Chung RH
BMC Genomics; 2015 May; 16(1):381. PubMed ID: 25975968
[TBL] [Abstract][Full Text] [Related]
6. A powerful statistical framework for generalization testing in GWAS, with application to the HCHS/SOL.
Sofer T; Heller R; Bogomolov M; Avery CL; Graff M; North KE; Reiner AP; Thornton TA; Rice K; Benjamini Y; Laurie CC; Kerr KF
Genet Epidemiol; 2017 Apr; 41(3):251-258. PubMed ID: 28090672
[TBL] [Abstract][Full Text] [Related]
7. Multiple testing in genome-wide association studies via hidden Markov models.
Wei Z; Sun W; Wang K; Hakonarson H
Bioinformatics; 2009 Nov; 25(21):2802-8. PubMed ID: 19654115
[TBL] [Abstract][Full Text] [Related]
8. High-throughput analysis of epistasis in genome-wide association studies with BiForce.
Gyenesei A; Moody J; Semple CA; Haley CS; Wei WH
Bioinformatics; 2012 Aug; 28(15):1957-64. PubMed ID: 22618535
[TBL] [Abstract][Full Text] [Related]
9. Increasing power of genome-wide association studies by collecting additional single-nucleotide polymorphisms.
Kostem E; Lozano JA; Eskin E
Genetics; 2011 Jun; 188(2):449-60. PubMed ID: 21467568
[TBL] [Abstract][Full Text] [Related]
10. RS-SNP: a random-set method for genome-wide association studies.
D'Addabbo A; Palmieri O; Latiano A; Annese V; Mukherjee S; Ancona N
BMC Genomics; 2011 Mar; 12():166. PubMed ID: 21450072
[TBL] [Abstract][Full Text] [Related]
11. Prioritizing genetic variants in GWAS with lasso using permutation-assisted tuning.
Yang S; Wen J; Eckert ST; Wang Y; Liu DJ; Wu R; Li R; Zhan X
Bioinformatics; 2020 Jun; 36(12):3811-3817. PubMed ID: 32246825
[TBL] [Abstract][Full Text] [Related]
12. A hidden two-locus disease association pattern in genome-wide association studies.
Yang C; Wan X; Yang Q; Xue H; Tang NL; Yu W
BMC Bioinformatics; 2011 May; 12():156. PubMed ID: 21569557
[TBL] [Abstract][Full Text] [Related]
13. Hidden Markov models for controlling false discovery rate in genome-wide association analysis.
Wei Z
Methods Mol Biol; 2012; 802():337-44. PubMed ID: 22130891
[TBL] [Abstract][Full Text] [Related]
14. A variable selection method for genome-wide association studies.
He Q; Lin DY
Bioinformatics; 2011 Jan; 27(1):1-8. PubMed ID: 21036813
[TBL] [Abstract][Full Text] [Related]
15. PBOOST: a GPU-based tool for parallel permutation tests in genome-wide association studies.
Yang G; Jiang W; Yang Q; Yu W
Bioinformatics; 2015 May; 31(9):1460-2. PubMed ID: 25535244
[TBL] [Abstract][Full Text] [Related]
16. Multi-locus test conditional on confirmed effects leads to increased power in genome-wide association studies.
Ma L; Han S; Yang J; Da Y
PLoS One; 2010 Nov; 5(11):e15006. PubMed ID: 21103364
[TBL] [Abstract][Full Text] [Related]
17. Robust genetic model-based SNP-set association test using CauchyGM.
Kim Y; Chi YY; Shen J; Zou F
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36383169
[TBL] [Abstract][Full Text] [Related]
18. MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study.
Wan X; Yang C; Yang Q; Xue H; Tang NL; Yu W
BMC Bioinformatics; 2009 Jan; 10():13. PubMed ID: 19134182
[TBL] [Abstract][Full Text] [Related]
19. Quantifying uncertainty in genotype calls.
Carvalho BS; Louis TA; Irizarry RA
Bioinformatics; 2010 Jan; 26(2):242-9. PubMed ID: 19906825
[TBL] [Abstract][Full Text] [Related]
20. Fast and accurate imputation of summary statistics enhances evidence of functional enrichment.
Pasaniuc B; Zaitlen N; Shi H; Bhatia G; Gusev A; Pickrell J; Hirschhorn J; Strachan DP; Patterson N; Price AL
Bioinformatics; 2014 Oct; 30(20):2906-14. PubMed ID: 24990607
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]