700 related articles for article (PubMed ID: 22143225)
1. Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets.
Li MX; Yeung JM; Cherny SS; Sham PC
Hum Genet; 2012 May; 131(5):747-56. PubMed ID: 22143225
[TBL] [Abstract][Full Text] [Related]
2. Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies.
Hao K; Chudin E; McElwee J; Schadt EE
BMC Genet; 2009 Jun; 10():27. PubMed ID: 19531258
[TBL] [Abstract][Full Text] [Related]
3. Comprehensive evaluation of imputation performance in African Americans.
Chanda P; Yuhki N; Li M; Bader JS; Hartz A; Boerwinkle E; Kao WH; Arking DE
J Hum Genet; 2012 Jul; 57(7):411-21. PubMed ID: 22648186
[TBL] [Abstract][Full Text] [Related]
4. Imputation across genotyping arrays for genome-wide association studies: assessment of bias and a correction strategy.
Johnson EO; Hancock DB; Levy JL; Gaddis NC; Saccone NL; Bierut LJ; Page GP
Hum Genet; 2013 May; 132(5):509-22. PubMed ID: 23334152
[TBL] [Abstract][Full Text] [Related]
5. Quick, "imputation-free" meta-analysis with proxy-SNPs.
Meesters C; Leber M; Herold C; Angisch M; Mattheisen M; Drichel D; Lacour A; Becker T
BMC Bioinformatics; 2012 Sep; 13():231. PubMed ID: 22971100
[TBL] [Abstract][Full Text] [Related]
6. Effect of genome-wide genotyping and reference panels on rare variants imputation.
Zheng HF; Ladouceur M; Greenwood CM; Richards JB
J Genet Genomics; 2012 Oct; 39(10):545-50. PubMed ID: 23089364
[TBL] [Abstract][Full Text] [Related]
7. Establishing an adjusted p-value threshold to control the family-wide type 1 error in genome wide association studies.
Duggal P; Gillanders EM; Holmes TN; Bailey-Wilson JE
BMC Genomics; 2008 Oct; 9():516. PubMed ID: 18976480
[TBL] [Abstract][Full Text] [Related]
8. Using family-based imputation in genome-wide association studies with large complex pedigrees: the Framingham Heart Study.
Chen MH; Huang J; Chen WM; Larson MG; Fox CS; Vasan RS; Seshadri S; O'Donnell CJ; Yang Q
PLoS One; 2012; 7(12):e51589. PubMed ID: 23284720
[TBL] [Abstract][Full Text] [Related]
9. Imputation reliability on DNA biallelic markers for drug metabolism studies.
Mijatovic V; Iacobucci I; Sazzini M; Xumerle L; Mori A; Pignatti PF; Martinelli G; Malerba G
BMC Bioinformatics; 2012; 13 Suppl 14(Suppl 14):S7. PubMed ID: 23095502
[TBL] [Abstract][Full Text] [Related]
10. Genotype imputation for African Americans using data from HapMap phase II versus 1000 genomes projects.
Sung YJ; Gu CC; Tiwari HK; Arnett DK; Broeckel U; Rao DC
Genet Epidemiol; 2012 Jul; 36(5):508-16. PubMed ID: 22644746
[TBL] [Abstract][Full Text] [Related]
11. Dynamic model based algorithms for screening and genotyping over 100 K SNPs on oligonucleotide microarrays.
Di X; Matsuzaki H; Webster TA; Hubbell E; Liu G; Dong S; Bartell D; Huang J; Chiles R; Yang G; Shen MM; Kulp D; Kennedy GC; Mei R; Jones KW; Cawley S
Bioinformatics; 2005 May; 21(9):1958-63. PubMed ID: 15657097
[TBL] [Abstract][Full Text] [Related]
12. Comparison of the performance of two commercial genome-wide association study genotyping platforms in Han Chinese samples.
Jiang L; Willner D; Danoy P; Xu H; Brown MA
G3 (Bethesda); 2013 Jan; 3(1):23-9. PubMed ID: 23316436
[TBL] [Abstract][Full Text] [Related]
13. A multi-array multi-SNP genotyping algorithm for Affymetrix SNP microarrays.
Xiao Y; Segal MR; Yang YH; Yeh RF
Bioinformatics; 2007 Jun; 23(12):1459-67. PubMed ID: 17459966
[TBL] [Abstract][Full Text] [Related]
14. Imputation-based assessment of next generation rare exome variant arrays.
Martin AR; Tse G; Bustamante CD; Kenny EE
Pac Symp Biocomput; 2014; ():241-52. PubMed ID: 24297551
[TBL] [Abstract][Full Text] [Related]
15. Assessing accuracy of genotype imputation in American Indians.
Malhotra A; Kobes S; Bogardus C; Knowler WC; Baier LJ; Hanson RL
PLoS One; 2014; 9(7):e102544. PubMed ID: 25014012
[TBL] [Abstract][Full Text] [Related]
16. Extending the use of GWAS data by combining data from different genetic platforms.
van Iperen EP; Hovingh GK; Asselbergs FW; Zwinderman AH
PLoS One; 2017; 12(2):e0172082. PubMed ID: 28245255
[TBL] [Abstract][Full Text] [Related]
17. Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samples.
Hong H; Su Z; Ge W; Shi L; Perkins R; Fang H; Xu J; Chen JJ; Han T; Kaput J; Fuscoe JC; Tong W
BMC Bioinformatics; 2008 Aug; 9 Suppl 9(Suppl 9):S17. PubMed ID: 18793462
[TBL] [Abstract][Full Text] [Related]
18. Accuracy of genotype imputation in Nelore cattle.
Carvalheiro R; Boison SA; Neves HH; Sargolzaei M; Schenkel FS; Utsunomiya YT; O'Brien AM; Sölkner J; McEwan JC; Van Tassell CP; Sonstegard TS; Garcia JF
Genet Sel Evol; 2014 Oct; 46(1):69. PubMed ID: 25927950
[TBL] [Abstract][Full Text] [Related]
19. Evaluation of the imputation performance of the program IMPUTE in an admixed sample from Mexico City using several model designs.
Krithika S; Valladares-Salgado A; Peralta J; Escobedo-de La Peña J; Kumate-Rodríguez J; Cruz M; Parra EJ
BMC Med Genomics; 2012 May; 5():12. PubMed ID: 22549150
[TBL] [Abstract][Full Text] [Related]
20. Designing genome-wide association studies: sample size, power, imputation, and the choice of genotyping chip.
Spencer CC; Su Z; Donnelly P; Marchini J
PLoS Genet; 2009 May; 5(5):e1000477. PubMed ID: 19492015
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
