These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

214 related articles for article (PubMed ID: 32004450)

  • 21. Fine-mapping across diverse ancestries drives the discovery of putative causal variants underlying human complex traits and diseases.
    Yuan K; Longchamps RJ; Pardiñas AF; Yu M; Chen TT; Lin SC; Chen Y; Lam M; Liu R; Xia Y; Guo Z; Shi W; Shen C; ; Daly MJ; Neale BM; Feng YA; Lin YF; Chen CY; O'Donovan MC; Ge T; Huang H
    Nat Genet; 2024 Sep; 56(9):1841-1850. PubMed ID: 39187616
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Fine-mapping cellular QTLs with RASQUAL and ATAC-seq.
    Kumasaka N; Knights AJ; Gaffney DJ
    Nat Genet; 2016 Feb; 48(2):206-13. PubMed ID: 26656845
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A Bayesian fine-mapping model using a continuous global-local shrinkage prior with applications in prostate cancer analysis.
    Li X; Sham PC; Zhang YD
    Am J Hum Genet; 2024 Feb; 111(2):213-226. PubMed ID: 38171363
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Using haplotypes for the prediction of allelic identity to fine-map QTL: characterization and properties.
    Jacquin L; Elsen JM; Gilbert H
    Genet Sel Evol; 2014 Jul; 46(1):45. PubMed ID: 25022866
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Integrating functional data to prioritize causal variants in statistical fine-mapping studies.
    Kichaev G; Yang WY; Lindstrom S; Hormozdiari F; Eskin E; Price AL; Kraft P; Pasaniuc B
    PLoS Genet; 2014 Oct; 10(10):e1004722. PubMed ID: 25357204
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Integrating molecular QTL data into genome-wide genetic association analysis: Probabilistic assessment of enrichment and colocalization.
    Wen X; Pique-Regi R; Luca F
    PLoS Genet; 2017 Mar; 13(3):e1006646. PubMed ID: 28278150
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Power of linkage disequilibrium mapping to detect a quantitative trait locus (QTL) in selected samples of unrelated individuals.
    Tenesa A; Knott SA; Carothers AD; Visscher PM
    Ann Hum Genet; 2003 Nov; 67(Pt 6):557-66. PubMed ID: 14641243
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Improved methods for multi-trait fine mapping of pleiotropic risk loci.
    Kichaev G; Roytman M; Johnson R; Eskin E; Lindström S; Kraft P; Pasaniuc B
    Bioinformatics; 2017 Jan; 33(2):248-255. PubMed ID: 27663501
    [TBL] [Abstract][Full Text] [Related]  

  • 29. High-density linkage map construction and QTL analyses for fiber quality, yield and morphological traits using CottonSNP63K array in upland cotton (Gossypium hirsutum L.).
    Zhang K; Kuraparthy V; Fang H; Zhu L; Sood S; Jones DC
    BMC Genomics; 2019 Nov; 20(1):889. PubMed ID: 31771502
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Comparing linkage disequilibrium-based methods for fine mapping quantitative trait loci.
    Grapes L; Dekkers JC; Rothschild MF; Fernando RL
    Genetics; 2004 Mar; 166(3):1561-70. PubMed ID: 15082569
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Haplotype-based quantitative trait mapping using a clustering algorithm.
    Li J; Zhou Y; Elston RC
    BMC Bioinformatics; 2006 May; 7():258. PubMed ID: 16709248
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A Multiparent Advanced Generation Inter-Cross to fine-map quantitative traits in Arabidopsis thaliana.
    Kover PX; Valdar W; Trakalo J; Scarcelli N; Ehrenreich IM; Purugganan MD; Durrant C; Mott R
    PLoS Genet; 2009 Jul; 5(7):e1000551. PubMed ID: 19593375
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Confirmation and Fine Mapping of a Major QTL for Aflatoxin Resistance in Maize Using a Combination of Linkage and Association Mapping.
    Zhang Y; Cui M; Zhang J; Zhang L; Li C; Kan X; Sun Q; Deng D; Yin Z
    Toxins (Basel); 2016 Sep; 8(9):. PubMed ID: 27598199
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Evaluation of linkage disequilibrium measures between multi-allelic markers as predictors of linkage disequilibrium between single nucleotide polymorphisms.
    Zhao H; Nettleton D; Dekkers JC
    Genet Res; 2007 Feb; 89(1):1-6. PubMed ID: 17517154
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Combining QTL-seq and linkage mapping to fine map a wild soybean allele characteristic of greater plant height.
    Zhang X; Wang W; Guo N; Zhang Y; Bu Y; Zhao J; Xing H
    BMC Genomics; 2018 Mar; 19(1):226. PubMed ID: 29587637
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A haplotype-based algorithm for multilocus linkage disequilibrium mapping of quantitative trait loci with epistasis.
    Lou XY; Casella G; Littell RC; Yang MC; Johnson JA; Wu R
    Genetics; 2003 Apr; 163(4):1533-48. PubMed ID: 12702696
    [TBL] [Abstract][Full Text] [Related]  

  • 37. The efficiency of designs for fine-mapping of quantitative trait loci using combined linkage disequilibrium and linkage.
    Lee SH; van der Werf JH
    Genet Sel Evol; 2004; 36(2):145-61. PubMed ID: 15040896
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Genetic architecture of growth traits in Populus revealed by integrated quantitative trait locus (QTL) analysis and association studies.
    Du Q; Gong C; Wang Q; Zhou D; Yang H; Pan W; Li B; Zhang D
    New Phytol; 2016 Feb; 209(3):1067-82. PubMed ID: 26499329
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes.
    Fachal L; Aschard H; Beesley J; Barnes DR; Allen J; Kar S; Pooley KA; Dennis J; Michailidou K; Turman C; Soucy P; Lemaçon A; Lush M; Tyrer JP; Ghoussaini M; Moradi Marjaneh M; Jiang X; Agata S; Aittomäki K; Alonso MR; Andrulis IL; Anton-Culver H; Antonenkova NN; Arason A; Arndt V; Aronson KJ; Arun BK; Auber B; Auer PL; Azzollini J; Balmaña J; Barkardottir RB; Barrowdale D; Beeghly-Fadiel A; Benitez J; Bermisheva M; Białkowska K; Blanco AM; Blomqvist C; Blot W; Bogdanova NV; Bojesen SE; Bolla MK; Bonanni B; Borg A; Bosse K; Brauch H; Brenner H; Briceno I; Brock IW; Brooks-Wilson A; Brüning T; Burwinkel B; Buys SS; Cai Q; Caldés T; Caligo MA; Camp NJ; Campbell I; Canzian F; Carroll JS; Carter BD; Castelao JE; Chiquette J; Christiansen H; Chung WK; Claes KBM; Clarke CL; ; ; Collée JM; Cornelissen S; Couch FJ; Cox A; Cross SS; Cybulski C; Czene K; Daly MB; de la Hoya M; Devilee P; Diez O; Ding YC; Dite GS; Domchek SM; Dörk T; Dos-Santos-Silva I; Droit A; Dubois S; Dumont M; Duran M; Durcan L; Dwek M; Eccles DM; Engel C; Eriksson M; Evans DG; Fasching PA; Fletcher O; Floris G; Flyger H; Foretova L; Foulkes WD; Friedman E; Fritschi L; Frost D; Gabrielson M; Gago-Dominguez M; Gambino G; Ganz PA; Gapstur SM; Garber J; García-Sáenz JA; Gaudet MM; Georgoulias V; Giles GG; Glendon G; Godwin AK; Goldberg MS; Goldgar DE; González-Neira A; Tibiletti MG; Greene MH; Grip M; Gronwald J; Grundy A; Guénel P; Hahnen E; Haiman CA; Håkansson N; Hall P; Hamann U; Harrington PA; Hartikainen JM; Hartman M; He W; Healey CS; Heemskerk-Gerritsen BAM; Heyworth J; Hillemanns P; Hogervorst FBL; Hollestelle A; Hooning MJ; Hopper JL; Howell A; Huang G; Hulick PJ; Imyanitov EN; ; ; ; Isaacs C; Iwasaki M; Jager A; Jakimovska M; Jakubowska A; James PA; Janavicius R; Jankowitz RC; John EM; Johnson N; Jones ME; Jukkola-Vuorinen A; Jung A; Kaaks R; Kang D; Kapoor PM; Karlan BY; Keeman R; Kerin MJ; Khusnutdinova E; Kiiski JI; Kirk J; Kitahara CM; Ko YD; Konstantopoulou I; Kosma VM; Koutros S; Kubelka-Sabit K; Kwong A; Kyriacou K; Laitman Y; Lambrechts D; Lee E; Leslie G; Lester J; Lesueur F; Lindblom A; Lo WY; Long J; Lophatananon A; Loud JT; Lubiński J; MacInnis RJ; Maishman T; Makalic E; Mannermaa A; Manoochehri M; Manoukian S; Margolin S; Martinez ME; Matsuo K; Maurer T; Mavroudis D; Mayes R; McGuffog L; McLean C; Mebirouk N; Meindl A; Miller A; Miller N; Montagna M; Moreno F; Muir K; Mulligan AM; Muñoz-Garzon VM; Muranen TA; Narod SA; Nassir R; Nathanson KL; Neuhausen SL; Nevanlinna H; Neven P; Nielsen FC; Nikitina-Zake L; Norman A; Offit K; Olah E; Olopade OI; Olsson H; Orr N; Osorio A; Pankratz VS; Papp J; Park SK; Park-Simon TW; Parsons MT; Paul J; Pedersen IS; Peissel B; Peshkin B; Peterlongo P; Peto J; Plaseska-Karanfilska D; Prajzendanc K; Prentice R; Presneau N; Prokofyeva D; Pujana MA; Pylkäs K; Radice P; Ramus SJ; Rantala J; Rau-Murthy R; Rennert G; Risch HA; Robson M; Romero A; Rossing M; Saloustros E; Sánchez-Herrero E; Sandler DP; Santamariña M; Saunders C; Sawyer EJ; Scheuner MT; Schmidt DF; Schmutzler RK; Schneeweiss A; Schoemaker MJ; Schöttker B; Schürmann P; Scott C; Scott RJ; Senter L; Seynaeve CM; Shah M; Sharma P; Shen CY; Shu XO; Singer CF; Slavin TP; Smichkoska S; Southey MC; Spinelli JJ; Spurdle AB; Stone J; Stoppa-Lyonnet D; Sutter C; Swerdlow AJ; Tamimi RM; Tan YY; Tapper WJ; Taylor JA; Teixeira MR; Tengström M; Teo SH; Terry MB; Teulé A; Thomassen M; Thull DL; Tischkowitz M; Toland AE; Tollenaar RAEM; Tomlinson I; Torres D; Torres-Mejía G; Troester MA; Truong T; Tung N; Tzardi M; Ulmer HU; Vachon CM; van Asperen CJ; van der Kolk LE; van Rensburg EJ; Vega A; Viel A; Vijai J; Vogel MJ; Wang Q; Wappenschmidt B; Weinberg CR; Weitzel JN; Wendt C; Wildiers H; Winqvist R; Wolk A; Wu AH; Yannoukakos D; Zhang Y; Zheng W; Hunter D; Pharoah PDP; Chang-Claude J; García-Closas M; Schmidt MK; Milne RL; Kristensen VN; French JD; Edwards SL; Antoniou AC; Chenevix-Trench G; Simard J; Easton DF; Kraft P; Dunning AM
    Nat Genet; 2020 Jan; 52(1):56-73. PubMed ID: 31911677
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Confirmation and fine-mapping of a major QTL for resistance to infectious pancreatic necrosis in Atlantic salmon (Salmo salar): population-level associations between markers and trait.
    Moen T; Baranski M; Sonesson AK; Kjøglum S
    BMC Genomics; 2009 Aug; 10():368. PubMed ID: 19664221
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.