350 related articles for article (PubMed ID: 28401899)
1. Improved imputation accuracy of rare and low-frequency variants using population-specific high-coverage WGS-based imputation reference panel.
Mitt M; Kals M; Pärn K; Gabriel SB; Lander ES; Palotie A; Ripatti S; Morris AP; Metspalu A; Esko T; Mägi R; Palta P
Eur J Hum Genet; 2017 Jun; 25(7):869-876. PubMed ID: 28401899
[TBL] [Abstract][Full Text] [Related]
2. Genotype imputation performance of three reference panels using African ancestry individuals.
Vergara C; Parker MM; Franco L; Cho MH; Valencia-Duarte AV; Beaty TH; Duggal P
Hum Genet; 2018 Apr; 137(4):281-292. PubMed ID: 29637265
[TBL] [Abstract][Full Text] [Related]
3. Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel.
Huang J; Howie B; McCarthy S; Memari Y; Walter K; Min JL; Danecek P; Malerba G; Trabetti E; Zheng HF; ; Gambaro G; Richards JB; Durbin R; Timpson NJ; Marchini J; Soranzo N
Nat Commun; 2015 Sep; 6():8111. PubMed ID: 26368830
[TBL] [Abstract][Full Text] [Related]
4. Genotype imputation of Metabochip SNPs using a study-specific reference panel of ~4,000 haplotypes in African Americans from the Women's Health Initiative.
Liu EY; Buyske S; Aragaki AK; Peters U; Boerwinkle E; Carlson C; Carty C; Crawford DC; Haessler J; Hindorff LA; Marchand LL; Manolio TA; Matise T; Wang W; Kooperberg C; North KE; Li Y
Genet Epidemiol; 2012 Feb; 36(2):107-17. PubMed ID: 22851474
[TBL] [Abstract][Full Text] [Related]
5. How local reference panels improve imputation in French populations.
Herzig AF; Velo-Suárez L; ; ; Dina C; Redon R; Deleuze JF; Génin E
Sci Rep; 2024 Jan; 14(1):370. PubMed ID: 38172507
[TBL] [Abstract][Full Text] [Related]
6. Opening the Black Box of Imputation Software to Study the Impact of Reference Panel Composition on Performance.
Dekeyser T; Génin E; Herzig AF
Genes (Basel); 2023 Feb; 14(2):. PubMed ID: 36833337
[TBL] [Abstract][Full Text] [Related]
7. Accuracy of imputation using the most common sires as reference population in layer chickens.
Heidaritabar M; Calus MP; Vereijken A; Groenen MA; Bastiaansen JW
BMC Genet; 2015 Aug; 16():101. PubMed ID: 26282557
[TBL] [Abstract][Full Text] [Related]
8. NARD: whole-genome reference panel of 1779 Northeast Asians improves imputation accuracy of rare and low-frequency variants.
Yoo SK; Kim CU; Kim HL; Kim S; Shin JY; Kim N; Yang JSW; Lo KW; Cho B; Matsuda F; Schuster SC; Kim C; Kim JI; Seo JS
Genome Med; 2019 Oct; 11(1):64. PubMed ID: 31640730
[TBL] [Abstract][Full Text] [Related]
9. Improving imputation quality in Samoans through the integration of population-specific sequences into existing reference panels.
Carlson JC; Krishnan M; Liu S; Anderson KJ; Zhang JZ; Yapp TJ; Chiyka EA; Dikec DA; Cheng H; Naseri T; Reupena MS; Viali S; Deka R; Hawley NL; McGarvey ST; Weeks DE; Minster RL
medRxiv; 2023 Oct; ():. PubMed ID: 37961708
[TBL] [Abstract][Full Text] [Related]
10. Performance of genotype imputation for rare variants identified in exons and flanking regions of genes.
Li L; Li Y; Browning SR; Browning BL; Slater AJ; Kong X; Aponte JL; Mooser VE; Chissoe SL; Whittaker JC; Nelson MR; Ehm MG
PLoS One; 2011; 6(9):e24945. PubMed ID: 21949800
[TBL] [Abstract][Full Text] [Related]
11. Assessment of genotype imputation performance using 1000 Genomes in African American studies.
Hancock DB; Levy JL; Gaddis NC; Bierut LJ; Saccone NL; Page GP; Johnson EO
PLoS One; 2012; 7(11):e50610. PubMed ID: 23226329
[TBL] [Abstract][Full Text] [Related]
12. A high-resolution haplotype-resolved Reference panel constructed from the China Kadoorie Biobank Study.
Yu C; Lan X; Tao Y; Guo Y; Sun D; Qian P; Zhou Y; Walters RG; Li L; Zhu Y; Zeng J; Millwood IY; Guo R; Pei P; Yang T; Du H; Yang F; Yang L; Ren F; Chen Y; Chen F; Jiang X; Ye Z; Dai L; Wei X; Xu X; Yang H; Wang J; Chen Z; Zhu H; Lv J; Jin X; Li L
Nucleic Acids Res; 2023 Nov; 51(21):11770-11782. PubMed ID: 37870428
[TBL] [Abstract][Full Text] [Related]
13. Increasing the resolution and precision of psychiatric genome-wide association studies by re-imputing summary statistics using a large, diverse reference panel.
Chatzinakos C; Lee D; Cai N; Vladimirov VI; Webb BT; Riley BP; Flint J; Kendler KS; Ressler KJ; Daskalakis NP; Bacanu SA
Am J Med Genet B Neuropsychiatr Genet; 2021 Jan; 186(1):16-27. PubMed ID: 33576176
[TBL] [Abstract][Full Text] [Related]
14. A rapid and reference-free imputation method for low-cost genotyping platforms.
Chi Duong V; Minh Vu G; Khac Nguyen T; Tran The Nguyen H; Luong Pham T; S Vo N; Hong Hoang T
Sci Rep; 2023 Dec; 13(1):23083. PubMed ID: 38155188
[TBL] [Abstract][Full Text] [Related]
15. Why are rare variants hard to impute? Coalescent models reveal theoretical limits in existing algorithms.
Si Y; Vanderwerff B; Zöllner S
Genetics; 2021 Apr; 217(4):. PubMed ID: 33686438
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. A cautionary tale of low-pass sequencing and imputation with respect to haplotype accuracy.
Wragg D; Zhang W; Peterson S; Yerramilli M; Mellanby R; Schoenebeck JJ; Clements DN
Genet Sel Evol; 2024 Jan; 56(1):6. PubMed ID: 38216889
[TBL] [Abstract][Full Text] [Related]
18. Imputation of variants from the 1000 Genomes Project modestly improves known associations and can identify low-frequency variant-phenotype associations undetected by HapMap based imputation.
Wood AR; Perry JR; Tanaka T; Hernandez DG; Zheng HF; Melzer D; Gibbs JR; Nalls MA; Weedon MN; Spector TD; Richards JB; Bandinelli S; Ferrucci L; Singleton AB; Frayling TM
PLoS One; 2013; 8(5):e64343. PubMed ID: 23696881
[TBL] [Abstract][Full Text] [Related]
19. Imputation accuracy across global human populations.
Cahoon JL; Rui X; Tang E; Simons C; Langie J; Chen M; Lo YC; Chiang CWK
Am J Hum Genet; 2024 May; 111(5):979-989. PubMed ID: 38604166
[TBL] [Abstract][Full Text] [Related]
20. One thousand genomes imputation in the National Cancer Institute Breast and Prostate Cancer Cohort Consortium aggressive prostate cancer genome-wide association study.
Machiela MJ; Chen C; Liang L; Diver WR; Stevens VL; Tsilidis KK; Haiman CA; Chanock SJ; Hunter DJ; Kraft P;
Prostate; 2013 May; 73(7):677-89. PubMed ID: 23255287
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]