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Items: 1 to 20 of 52

1.

Detecting Gene-Gene Interactions Associated with Multiple Complex Traits with U-Statistics.

Li M, Wei C, Wen Y, Wang T, Lu Q.

Curr Genomics. 2016 Oct;17(5):403-415. doi: 10.2174/1389202917666160513100946.

2.

Accelerating Precision Drug Development and Drug Repurposing by Leveraging Human Genetics.

Pulley JM, Shirey-Rice JK, Lavieri RR, Jerome RN, Zaleski NM, Aronoff DM, Bastarache L, Niu X, Holroyd KJ, Roden DM, Skaar EP, Niswender CM, Marnett LJ, Lindsley CW, Ekstrom LB, Bentley AR, Bernard GR, Hong CC, Denny JC.

Assay Drug Dev Technol. 2017 Apr;15(3):113-119. doi: 10.1089/adt.2016.772. Epub 2017 Apr 5.

PMID:
28379727
3.

Multiphenotype association study of patients randomized to initiate antiretroviral regimens in AIDS Clinical Trials Group protocol A5202.

Verma A, Bradford Y, Verma SS, Pendergrass SA, Daar ES, Venuto C, Morse GD, Ritchie MD, Haas DW.

Pharmacogenet Genomics. 2017 Mar;27(3):101-111. doi: 10.1097/FPC.0000000000000263.

4.

DermO; an ontology for the description of dermatologic disease.

Fisher HM, Hoehndorf R, Bazelato BS, Dadras SS, King LE Jr, Gkoutos GV, Sundberg JP, Schofield PN.

J Biomed Semantics. 2016 Jun 13;7:38. doi: 10.1186/s13326-016-0085-x.

5.

Evidence for extensive pleiotropy among pharmacogenes.

Oetjens MT, Bush WS, Denny JC, Birdwell K, Kodaman N, Verma A, Dilks HH, Pendergrass SA, Ritchie MD, Crawford DC.

Pharmacogenomics. 2016 Jun;17(8):853-66. doi: 10.2217/pgs-2015-0007. Epub 2016 Jun 1.

6.

Phenome-Wide Association Studies as a Tool to Advance Precision Medicine.

Denny JC, Bastarache L, Roden DM.

Annu Rev Genomics Hum Genet. 2016 Aug 31;17:353-73. doi: 10.1146/annurev-genom-090314-024956. Epub 2016 May 4. Review.

7.

Contrasting Association Results between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes.

Leader JB, Pendergrass SA, Verma A, Carey DJ, Hartzel DN, Ritchie MD, Kirchner HL.

AMIA Annu Symp Proc. 2015 Nov 5;2015:824-32. eCollection 2015.

8.

KNOWLEDGE DRIVEN BINNING AND PHEWAS ANALYSIS IN MARSHFIELD PERSONALIZED MEDICINE RESEARCH PROJECT USING BIOBIN.

Basile AO, Wallace JR, Peissig P, McCarty CA, Brilliant M, Ritchie MD.

Pac Symp Biocomput. 2016;21:249-60.

9.

Towards a phenome-wide catalog of human clinical traits impacted by genetic ancestry.

Dumitrescu L, Restrepo NA, Goodloe R, Boston J, Farber-Eger E, Pendergrass SA, Bush WS, Crawford DC.

BioData Min. 2015 Nov 11;8:35. doi: 10.1186/s13040-015-0068-y. eCollection 2015.

10.
11.

Combined genetic effects of EGLN1 and VWF modulate thrombotic outcome in hypoxia revealed by Ayurgenomics approach.

Aggarwal S, Gheware A, Agrawal A, Ghosh S, Prasher B, Mukerji M; Indian Genome Variation Consortium.

J Transl Med. 2015 Jun 6;13:184. doi: 10.1186/s12967-015-0542-9.

12.

strum: an R package for structural modeling of latent variables for general pedigrees.

Song YE, Stein CM, Morris NJ.

BMC Genet. 2015 Apr 9;16:35. doi: 10.1186/s12863-015-0190-3.

13.

Phenome-wide Association Study Relating Pretreatment Laboratory Parameters With Human Genetic Variants in AIDS Clinical Trials Group Protocols.

Moore CB, Verma A, Pendergrass S, Verma SS, Johnson DH, Daar ES, Gulick RM, Haubrich R, Robbins GK, Ritchie MD, Haas DW.

Open Forum Infect Dis. 2015 Jan 9;2(1):ofu113. doi: 10.1093/ofid/ofu113. eCollection 2015 Jan.

14.

[Pharmacogenomic Biomarkers for the Prediction of Statin Efficacy and Safety].

Baldassarre D, Amato M, Frigerio B, Columbo G, Binkley PF, Pandey SR, Suhy AM, Hartmann K, Kitzmiller JP.

G Ital Arterioscler. 2013 Nov;4(4):23-35. Italian. No abstract available.

15.

Application of clinical text data for phenome-wide association studies (PheWASs).

Hebbring SJ, Rastegar-Mojarad M, Ye Z, Mayer J, Jacobson C, Lin S.

Bioinformatics. 2015 Jun 15;31(12):1981-7. doi: 10.1093/bioinformatics/btv076. Epub 2015 Feb 4.

16.

Phenome-wide association study (PheWAS) in EMR-linked pediatric cohorts, genetically links PLCL1 to speech language development and IL5-IL13 to Eosinophilic Esophagitis.

Namjou B, Marsolo K, Caroll RJ, Denny JC, Ritchie MD, Verma SS, Lingren T, Porollo A, Cobb BL, Perry C, Kottyan LC, Rothenberg ME, Thompson SD, Holm IA, Kohane IS, Harley JB.

Front Genet. 2014 Nov 18;5:401. doi: 10.3389/fgene.2014.00401. eCollection 2014.

17.

Detection of pleiotropy through a Phenome-wide association study (PheWAS) of epidemiologic data as part of the Environmental Architecture for Genes Linked to Environment (EAGLE) study.

Hall MA, Verma A, Brown-Gentry KD, Goodloe R, Boston J, Wilson S, McClellan B, Sutcliffe C, Dilks HH, Gillani NB, Jin H, Mayo P, Allen M, Schnetz-Boutaud N, Crawford DC, Ritchie MD, Pendergrass SA.

PLoS Genet. 2014 Dec 4;10(12):e1004678. doi: 10.1371/journal.pgen.1004678. eCollection 2014 Dec.

18.

Regulatory polymorphisms in human DBH affect peripheral gene expression and sympathetic activity.

Barrie ES, Weinshenker D, Verma A, Pendergrass SA, Lange LA, Ritchie MD, Wilson JG, Kuivaniemi H, Tromp G, Carey DJ, Gerhard GS, Brilliant MH, Hebbring SJ, Cubells JF, Pinsonneault JK, Norman GJ, Sadee W.

Circ Res. 2014 Dec 5;115(12):1017-25. doi: 10.1161/CIRCRESAHA.116.304398. Epub 2014 Oct 17.

19.

Phenome-wide association studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index.

Cronin RM, Field JR, Bradford Y, Shaffer CM, Carroll RJ, Mosley JD, Bastarache L, Edwards TL, Hebbring SJ, Lin S, Hindorff LA, Crane PK, Pendergrass SA, Ritchie MD, Crawford DC, Pathak J, Bielinski SJ, Carrell DS, Crosslin DR, Ledbetter DH, Carey DJ, Tromp G, Williams MS, Larson EB, Jarvik GP, Peissig PL, Brilliant MH, McCarty CA, Chute CG, Kullo IJ, Bottinger E, Chisholm R, Smith ME, Roden DM, Denny JC.

Front Genet. 2014 Aug 5;5:250. doi: 10.3389/fgene.2014.00250. eCollection 2014.

20.

Toward personalizing treatment for depression: predicting diagnosis and severity.

Huang SH, LePendu P, Iyer SV, Tai-Seale M, Carrell D, Shah NH.

J Am Med Inform Assoc. 2014 Nov-Dec;21(6):1069-75. doi: 10.1136/amiajnl-2014-002733. Epub 2014 Jul 2.

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