230 related articles for article (PubMed ID: 22130891)
1. 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]
2. 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]
3. Stability selection for genome-wide association.
Alexander DH; Lange K
Genet Epidemiol; 2011 Nov; 35(7):722-8. PubMed ID: 22009793
[TBL] [Abstract][Full Text] [Related]
4. A hidden Markov random field model for genome-wide association studies.
Li H; Wei Z; Maris J
Biostatistics; 2010 Jan; 11(1):139-50. PubMed ID: 19822692
[TBL] [Abstract][Full Text] [Related]
5. Poor replication of candidate genes for major depressive disorder using genome-wide association data.
Bosker FJ; Hartman CA; Nolte IM; Prins BP; Terpstra P; Posthuma D; van Veen T; Willemsen G; DeRijk RH; de Geus EJ; Hoogendijk WJ; Sullivan PF; Penninx BW; Boomsma DI; Snieder H; Nolen WA
Mol Psychiatry; 2011 May; 16(5):516-32. PubMed ID: 20351714
[TBL] [Abstract][Full Text] [Related]
6. Bivariate association analysis for quantitative traits using generalized estimation equation.
Yang F; Tang Z; Deng H
J Genet Genomics; 2009 Dec; 36(12):733-43. PubMed ID: 20129400
[TBL] [Abstract][Full Text] [Related]
7. METU-SNP: an integrated software system for SNP-complex disease association analysis.
Ustünkar G; Aydın Son Y
J Integr Bioinform; 2011 Dec; 8(1):187. PubMed ID: 22156365
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Summarizing and quantifying multilocus linkage disequilibrium patterns with multi-order Markov chain models.
Feng S; Wang S
J Biopharm Stat; 2010 Mar; 20(2):441-53. PubMed ID: 20309767
[TBL] [Abstract][Full Text] [Related]
10. A new expectation-maximization statistical test for case-control association studies considering rare variants obtained by high-throughput sequencing.
Gordon D; Finch SJ; De La Vega FM
Hum Hered; 2011; 71(2):113-25. PubMed ID: 21734402
[TBL] [Abstract][Full Text] [Related]
11. A hidden Markov approach for ascertaining cSNP genotypes from RNA sequence data in the presence of allelic imbalance by exploiting linkage disequilibrium.
Steibel JP; Wang H; Zhong PS
BMC Bioinformatics; 2015 Feb; 16():61. PubMed ID: 25887316
[TBL] [Abstract][Full Text] [Related]
12. Impaired performance of FDR-based strategies in whole-genome association studies when SNPs are excluded prior to the analysis.
Marenne G; Dalmasso C; Perdry H; Génin E; Broët P
Genet Epidemiol; 2009 Jan; 33(1):45-53. PubMed ID: 18618761
[TBL] [Abstract][Full Text] [Related]
13. Sifting the wheat from the chaff: prioritizing GWAS results by identifying consistency across analytical methods.
Oldmeadow C; Riveros C; Holliday EG; Scott R; Moscato P; Wang JJ; Mitchell P; Buitendijk GH; Vingerling JR; Klaver CC; Klein R; Attia J
Genet Epidemiol; 2011 Dec; 35(8):745-54. PubMed ID: 22125219
[TBL] [Abstract][Full Text] [Related]
14. A Markov chain model for haplotype assembly from SNP fragments.
Wang RS; Wu LY; Zhang XS; Chen L
Genome Inform; 2006; 17(2):162-71. PubMed ID: 17503389
[TBL] [Abstract][Full Text] [Related]
15. Evaluating rare variants under two-stage design.
Li Q; Pan D; Yue W; Gao Y; Yu K
J Hum Genet; 2012 Jun; 57(6):352-7. PubMed ID: 22572736
[TBL] [Abstract][Full Text] [Related]
16. Family-based analysis of susceptibility loci for polycystic ovary syndrome on chromosome 2p16.3, 2p21 and 9q33.3.
Zhao H; Xu X; Xing X; Wang J; He L; Shi Y; Shi Y; Zhao Y; Chen ZJ
Hum Reprod; 2012 Jan; 27(1):294-8. PubMed ID: 22081247
[TBL] [Abstract][Full Text] [Related]
17. Analysis of single nucleotide polymorphisms in case-control studies.
Li Y; Shiffman D; Oberbauer R
Methods Mol Biol; 2011; 719():219-34. PubMed ID: 21370086
[TBL] [Abstract][Full Text] [Related]
18. Universal false discovery rate estimation methodology for genome-wide association studies.
Forner K; Lamarine M; Guedj M; Dauvillier J; Wojcik J
Hum Hered; 2008; 65(4):183-94. PubMed ID: 18073488
[TBL] [Abstract][Full Text] [Related]
19. The power of genome-wide association studies of complex disease genes: statistical limitations of indirect approaches using SNP markers.
Ohashi J; Tokunaga K
J Hum Genet; 2001; 46(8):478-82. PubMed ID: 11501946
[TBL] [Abstract][Full Text] [Related]
20. Comparison of association methods for dense marker data.
Bacanu SA; Nelson MR; Ehm MG
Genet Epidemiol; 2008 Dec; 32(8):791-9. PubMed ID: 18551558
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]