BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

257 related articles for article (PubMed ID: 28751670)

  • 1. Inclusion of Population-specific Reference Panel from India to the 1000 Genomes Phase 3 Panel Improves Imputation Accuracy.
    Ahmad M; Sinha A; Ghosh S; Kumar V; Davila S; Yajnik CS; Chandak GR
    Sci Rep; 2017 Jul; 7(1):6733. PubMed ID: 28751670
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Genotype imputation for Han Chinese population using Haplotype Reference Consortium as reference.
    Lin Y; Liu L; Yang S; Li Y; Lin D; Zhang X; Yin X
    Hum Genet; 2018 Jul; 137(6-7):431-436. PubMed ID: 29855708
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improving power of association tests using multiple sets of imputed genotypes from distributed reference panels.
    Zhou W; Fritsche LG; Das S; Zhang H; Nielsen JB; Holmen OL; Chen J; Lin M; Elvestad MB; Hveem K; Abecasis GR; Kang HM; Willer CJ
    Genet Epidemiol; 2017 Dec; 41(8):744-755. PubMed ID: 28861891
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Rare variant genotype imputation with thousands of study-specific whole-genome sequences: implications for cost-effective study designs.
    Pistis G; Porcu E; Vrieze SI; Sidore C; Steri M; Danjou F; Busonero F; Mulas A; Zoledziewska M; Maschio A; Brennan C; Lai S; Miller MB; Marcelli M; Urru MF; Pitzalis M; Lyons RH; Kang HM; Jones CM; Angius A; Iacono WG; Schlessinger D; McGue M; Cucca F; Abecasis GR; Sanna S
    Eur J Hum Genet; 2015 Jul; 23(7):975-83. PubMed ID: 25293720
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations.
    Kowalski MH; Qian H; Hou Z; Rosen JD; Tapia AL; Shan Y; Jain D; Argos M; Arnett DK; Avery C; Barnes KC; Becker LC; Bien SA; Bis JC; Blangero J; Boerwinkle E; Bowden DW; Buyske S; Cai J; Cho MH; Choi SH; Choquet H; Cupples LA; Cushman M; Daya M; de Vries PS; Ellinor PT; Faraday N; Fornage M; Gabriel S; Ganesh SK; Graff M; Gupta N; He J; Heckbert SR; Hidalgo B; Hodonsky CJ; Irvin MR; Johnson AD; Jorgenson E; Kaplan R; Kardia SLR; Kelly TN; Kooperberg C; Lasky-Su JA; Loos RJF; Lubitz SA; Mathias RA; McHugh CP; Montgomery C; Moon JY; Morrison AC; Palmer ND; Pankratz N; Papanicolaou GJ; Peralta JM; Peyser PA; Rich SS; Rotter JI; Silverman EK; Smith JA; Smith NL; Taylor KD; Thornton TA; Tiwari HK; Tracy RP; Wang T; Weiss ST; Weng LC; Wiggins KL; Wilson JG; Yanek LR; Zöllner S; North KE; Auer PL; ; ; Raffield LM; Reiner AP; Li Y
    PLoS Genet; 2019 Dec; 15(12):e1008500. PubMed ID: 31869403
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Regional genetic differences among Japanese populations and performance of genotype imputation using whole-genome reference panel of the Tohoku Medical Megabank Project.
    Yasuda J; Katsuoka F; Danjoh I; Kawai Y; Kojima K; Nagasaki M; Saito S; Yamaguchi-Kabata Y; Tadaka S; Motoike IN; Kumada K; Sakurai-Yageta M; Tanabe O; Fuse N; Tamiya G; Higasa K; Matsuda F; Yasuda N; Iwasaki M; Sasaki M; Shimizu A; Kinoshita K; Yamamoto M
    BMC Genomics; 2018 Jul; 19(1):551. PubMed ID: 30041597
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. Genotype imputation reference panel selection using maximal phylogenetic diversity.
    Zhang P; Zhan X; Rosenberg NA; Zöllner S
    Genetics; 2013 Oct; 195(2):319-30. PubMed ID: 23934887
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A diverse ancestrally-matched reference panel increases genotype imputation accuracy in a underrepresented population.
    Mauleekoonphairoj J; Tongsima S; Khongphatthanayothin A; Jurgens SJ; Zimmerman DS; Sutjaporn B; Wandee P; Bezzina CR; Nademanee K; Poovorawan Y
    Sci Rep; 2023 Jul; 13(1):12360. PubMed ID: 37524845
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. 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]  

  • 20. A One-Penny Imputed Genome from Next-Generation Reference Panels.
    Browning BL; Zhou Y; Browning SR
    Am J Hum Genet; 2018 Sep; 103(3):338-348. PubMed ID: 30100085
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.