193 related articles for article (PubMed ID: 34368847)
21. Performance of genotype imputation for low frequency and rare variants from the 1000 genomes.
Zheng HF; Rong JJ; Liu M; Han F; Zhang XW; Richards JB; Wang L
PLoS One; 2015; 10(1):e0116487. PubMed ID: 25621886
[TBL] [Abstract][Full Text] [Related]
22. Accuracy of imputation to infer unobserved APOE epsilon alleles in genome-wide genotyping data.
Radmanesh F; Devan WJ; Anderson CD; Rosand J; Falcone GJ;
Eur J Hum Genet; 2014 Oct; 22(10):1239-42. PubMed ID: 24448547
[TBL] [Abstract][Full Text] [Related]
23. Investigating the accuracy of imputing autosomal variants in Nellore cattle using the ARS-UCD1.2 assembly of the bovine genome.
Hermisdorff IDC; Costa RB; de Albuquerque LG; Pausch H; Kadri NK
BMC Genomics; 2020 Nov; 21(1):772. PubMed ID: 33167856
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Imputation to whole-genome sequence using multiple pig populations and its use in genome-wide association studies.
van den Berg S; Vandenplas J; van Eeuwijk FA; Bouwman AC; Lopes MS; Veerkamp RF
Genet Sel Evol; 2019 Jan; 51(1):2. PubMed ID: 30678638
[TBL] [Abstract][Full Text] [Related]
26. Genotype imputation accuracy and the quality metrics of the minor ancestry in multi-ancestry reference panels.
Shi M; Tanikawa C; Munter HM; Akiyama M; Koyama S; Tomizuka K; Matsuda K; Lathrop GM; Terao C; Koido M; Kamatani Y
Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38221906
[TBL] [Abstract][Full Text] [Related]
27. The hazards of genotype imputation when mapping disease susceptibility variants.
Lau W; Ali A; Maude H; Andrew T; Swallow DM; Maniatis N
Genome Biol; 2024 Jan; 25(1):7. PubMed ID: 38172955
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Comparison of multiple imputation and other methods for the analysis of imputed genotypes.
Auer PL; Wang G; Li G; DeWan AT; Leal SM
BMC Genomics; 2023 Jun; 24(1):303. PubMed ID: 37277705
[TBL] [Abstract][Full Text] [Related]
30. Meta-imputation: An efficient method to combine genotype data after imputation with multiple reference panels.
Yu K; Das S; LeFaive J; Kwong A; Pleiness J; Forer L; Schönherr S; Fuchsberger C; Smith AV; Abecasis GR
Am J Hum Genet; 2022 Jun; 109(6):1007-1015. PubMed ID: 35508176
[TBL] [Abstract][Full Text] [Related]
31. Local exome sequences facilitate imputation of less common variants and increase power of genome wide association studies.
Joshi PK; Prendergast J; Fraser RM; Huffman JE; Vitart V; Hayward C; McQuillan R; Glodzik D; Polašek O; Hastie ND; Rudan I; Campbell H; Wright AF; Haley CS; Wilson JF; Navarro P
PLoS One; 2013; 8(7):e68604. PubMed ID: 23874685
[TBL] [Abstract][Full Text] [Related]
32. Haplotype reference consortium panel: Practical implications of imputations with large reference panels.
Iglesias AI; van der Lee SJ; Bonnemaijer PWM; Höhn R; Nag A; Gharahkhani P; Khawaja AP; Broer L; ; Foster PJ; Hammond CJ; Hysi PG; van Leeuwen EM; MacGregor S; Mackey DA; Mazur J; Nickels S; Uitterlinden AG; Klaver CCW; Amin N; van Duijn CM
Hum Mutat; 2017 Aug; 38(8):1025-1032. PubMed ID: 28493391
[TBL] [Abstract][Full Text] [Related]
33. The effect of genome-wide association scan quality control on imputation outcome for common variants.
Southam L; Panoutsopoulou K; Rayner NW; Chapman K; Durrant C; Ferreira T; Arden N; Carr A; Deloukas P; Doherty M; Loughlin J; McCaskie A; Ollier WE; Ralston S; Spector TD; Valdes AM; Wallis GA; Wilkinson JM; ; Marchini J; Zeggini E
Eur J Hum Genet; 2011 May; 19(5):610-4. PubMed ID: 21267008
[TBL] [Abstract][Full Text] [Related]
34. Accurate Imputation of Untyped Variants from Deep Sequencing Data.
Torkamaneh D; Belzile F
Methods Mol Biol; 2021; 2243():271-281. PubMed ID: 33606262
[TBL] [Abstract][Full Text] [Related]
35. Evaluation of measures of correctness of genotype imputation in the context of genomic prediction: a review of livestock applications.
Calus MP; Bouwman AC; Hickey JM; Veerkamp RF; Mulder HA
Animal; 2014 Nov; 8(11):1743-53. PubMed ID: 25045914
[TBL] [Abstract][Full Text] [Related]
36. MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes.
Li Y; Willer CJ; Ding J; Scheet P; Abecasis GR
Genet Epidemiol; 2010 Dec; 34(8):816-34. PubMed ID: 21058334
[TBL] [Abstract][Full Text] [Related]
37. Genotype imputation in case-only studies of gene-environment interaction: validity and power.
Aleknonytė-Resch M; Szymczak S; Freitag-Wolf S; Dempfle A; Krawczak M
Hum Genet; 2021 Aug; 140(8):1217-1228. PubMed ID: 34041609
[TBL] [Abstract][Full Text] [Related]
38. Analyses and comparison of imputation-based association methods.
Pei YF; Zhang L; Li J; Deng HW
PLoS One; 2010 May; 5(5):e10827. PubMed ID: 20520814
[TBL] [Abstract][Full Text] [Related]
39. Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy.
Bolormaa S; Gore K; van der Werf JH; Hayes BJ; Daetwyler HD
Anim Genet; 2015 Oct; 46(5):544-56. PubMed ID: 26360638
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]