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Items: 1 to 20 of 40

1.

Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks.

Glicksberg BS, Li L, Badgeley MA, Shameer K, Kosoy R, Beckmann ND, Pho N, Hakenberg J, Ma M, Ayers KL, Hoffman GE, Dan Li S, Schadt EE, Patel CJ, Chen R, Dudley JT.

Bioinformatics. 2016 Jun 15;32(12):i101-i110. doi: 10.1093/bioinformatics/btw282.

2.

The Next Generation of Risk Assessment Multiyear Study- Highlights of Findings, Applications to Risk Assessment and Future Directions.

Cote I, Andersen ME, Ankley GT, Barone S, Birnbaum LS, Boekelheide K, Bois FY, Burgoon LD, Chiu WA, Crawford-Brown D, Crofton KM, DeVito M, Devlin RB, Edwards SW, Guyton KZ, Hattis D, Judson RS, Knight D, Krewski D, Lambert J, Maull EA, Mendrick D, Paoli GM, Patel CJ, Perkins EJ, Poje G, Portier CJ, Rusyn I, Schulte PA, Simeonov A, Smith MT, Thayer KA, Thomas RS, Thomas R, Tice RR, Vandenberg JJ, Villeneuve DL, Wesselkamper S, Whelan M, Whittaker C, White R, Xia M, Yauk C, Zeise L, Zhao J, DeWoskin RS.

Environ Health Perspect. 2016 Apr 19. [Epub ahead of print] Review.

3.

Systematic correlation of environmental exposure and physiological and self-reported behaviour factors with leukocyte telomere length.

Patel CJ, Manrai AK, Corona E, Kohane IS.

Int J Epidemiol. 2016 Apr 8. pii: dyw043. [Epub ahead of print]

4.

ksRepo: a generalized platform for computational drug repositioning.

Brown AS, Kong SW, Kohane IS, Patel CJ.

BMC Bioinformatics. 2016 Feb 9;17:78. doi: 10.1186/s12859-016-0931-y.

5.
6.

REPRODUCIBLE AND SHAREABLE QUANTIFICATIONS OF PATHOGENICITY.

Manrai AK, Wang BL, Patel CJ, Kohane IS.

Pac Symp Biocomput. 2016;21:231-42.

7.

Nutrient-wide association study of 57 foods/nutrients and epithelial ovarian cancer in the European Prospective Investigation into Cancer and Nutrition study and the Netherlands Cohort Study.

Merritt MA, Tzoulaki I, van den Brandt PA, Schouten LJ, Tsilidis KK, Weiderpass E, Patel CJ, Tjønneland A, Hansen L, Overvad K, His M, Dartois L, Boutron-Ruault MC, Fortner RT, Kaaks R, Aleksandrova K, Boeing H, Trichopoulou A, Lagiou P, Bamia C, Palli D, Krogh V, Tumino R, Ricceri F, Mattiello A, Bueno-de-Mesquita HB, Onland-Moret NC, Peeters PH, Skeie G, Jareid M, Quirós JR, Obón-Santacana M, Sánchez MJ, Chamosa S, Huerta JM, Barricarte A, Dias JA, Sonestedt E, Idahl A, Lundin E, Wareham NJ, Khaw KT, Travis RC, Ferrari P, Riboli E, Gunter MJ.

Am J Clin Nutr. 2016 Jan;103(1):161-7. doi: 10.3945/ajcn.115.118588. Epub 2015 Nov 25.

PMID:
26607939
8.

Field-wide meta-analyses of observational associations can map selective availability of risk factors and the impact of model specifications.

Serghiou S, Patel CJ, Tan YY, Koay P, Ioannidis JP.

J Clin Epidemiol. 2016 Mar;71:58-67. doi: 10.1016/j.jclinepi.2015.09.004. Epub 2015 Sep 28.

PMID:
26415577
9.

aRrayLasso: a network-based approach to microarray interconversion.

Brown AS, Patel CJ.

Bioinformatics. 2015 Dec 1;31(23):3859-61. doi: 10.1093/bioinformatics/btv469. Epub 2015 Aug 17.

10.

Assessment of vibration of effects due to model specification can demonstrate the instability of observational associations.

Patel CJ, Burford B, Ioannidis JP.

J Clin Epidemiol. 2015 Sep;68(9):1046-58. doi: 10.1016/j.jclinepi.2015.05.029. Epub 2015 Jun 6.

PMID:
26279400
11.

Investigation of dietary factors and endometrial cancer risk using a nutrient-wide association study approach in the EPIC and Nurses' Health Study (NHS) and NHSII.

Merritt MA, Tzoulaki I, Tworoger SS, De Vivo I, Hankinson SE, Fernandes J, Tsilidis KK, Weiderpass E, Tjønneland A, Petersen KE, Dahm CC, Overvad K, Dossus L, Boutron-Ruault MC, Fagherazzi G, Fortner RT, Kaaks R, Aleksandrova K, Boeing H, Trichopoulou A, Bamia C, Trichopoulos D, Palli D, Grioni S, Tumino R, Sacerdote C, Mattiello A, Bueno-de-Mesquita HB, Onland-Moret NC, Peeters PH, Gram IT, Skeie G, Quirós JR, Duell EJ, Sánchez MJ, Salmerón D, Barricarte A, Chamosa S, Ericson U, Sonestedt E, Nilsson LM, Idahl A, Khaw KT, Wareham N, Travis RC, Rinaldi S, Romieu I, Patel CJ, Riboli E, Gunter MJ.

Cancer Epidemiol Biomarkers Prev. 2015 Feb;24(2):466-71. doi: 10.1158/1055-9965.EPI-14-0970.

12.
13.

Systematic assessment of the correlations of household income with infectious, biochemical, physiological, and environmental factors in the United States, 1999-2006.

Patel CJ, Ioannidis JP, Cullen MR, Rehkopf DH.

Am J Epidemiol. 2015 Feb 1;181(3):171-9. doi: 10.1093/aje/kwu277. Epub 2015 Jan 14.

14.

Placing epidemiological results in the context of multiplicity and typical correlations of exposures.

Patel CJ, Ioannidis JP.

J Epidemiol Community Health. 2014 Nov;68(11):1096-100. doi: 10.1136/jech-2014-204195. Epub 2014 Jun 12.

15.

Studying the elusive environment in large scale.

Patel CJ, Ioannidis JP.

JAMA. 2014 Jun 4;311(21):2173-4. doi: 10.1001/jama.2014.4129. No abstract available.

16.

Disease risk factors identified through shared genetic architecture and electronic medical records.

Li L, Ruau DJ, Patel CJ, Weber SC, Chen R, Tatonetti NP, Dudley JT, Butte AJ.

Sci Transl Med. 2014 Apr 30;6(234):234ra57. doi: 10.1126/scitranslmed.3007191.

17.

Investigation of maternal environmental exposures in association with self-reported preterm birth.

Patel CJ, Yang T, Hu Z, Wen Q, Sung J, El-Sayed YY, Cohen H, Gould J, Stevenson DK, Shaw GM, Ling XB, Butte AJ; March of Dimes Prematurity Research Center at Stanford University School of Medicine.

Reprod Toxicol. 2014 Jun;45:1-7. doi: 10.1016/j.reprotox.2013.12.005. Epub 2013 Dec 27.

18.

Systematic evaluation of environmental and behavioural factors associated with all-cause mortality in the United States national health and nutrition examination survey.

Patel CJ, Rehkopf DH, Leppert JT, Bortz WM, Cullen MR, Chertow GM, Ioannidis JP.

Int J Epidemiol. 2013 Dec;42(6):1795-810. doi: 10.1093/ije/dyt208. Epub 2013 Dec 16.

19.

Systematic identification of interaction effects between validated genome- and environment-wide associations on Type 2 Diabetes Mellitus.

Patel CJ, Chen R, Kodama K, Ioannidis JP, Butte AJ.

AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:135. eCollection 2013. No abstract available.

PMID:
24303322
20.

Diabetes severity, metabolic syndrome, and the risk of erectile dysfunction.

Weinberg AE, Eisenberg M, Patel CJ, Chertow GM, Leppert JT.

J Sex Med. 2013 Dec;10(12):3102-9. doi: 10.1111/jsm.12318. Epub 2013 Sep 9.

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