Chirag Patel, PhD

Chirag Patel, PhD

Associate Professor of Biomedical Informatics

10 Shattuck Street, Boston, MA 02115

Chirag Patel's Group

Chirag Patel's long-term research goal is to address problems in human health and disease by developing computational and bioinformatics methods to reproducibly and efficiently reason over high-throughput data streams spanning molecules to populations. Patel's group aims to dissect inter-individual differences in human phenomes through strategies that integrate data sources that capture the comprehensive clinical experience (e.g., through the electronic medical record), the complex phenomena of environmental exposure (e.g., high-throughput measures of the exposome), and inherited genomic variation. He received his doctorate in biomedical informatics from Stanford University.


DBMI Research Areas
DBMI Courses
Career Opportunities

Postdoctoral Fellows: Single Cell Transcriptomics/Aging

Comparisons of Polyexposure, Polygenic, and Clinical Risk Scores in Risk Prediction of Type 2 Diabetes.
Authors: He Y, Lakhani CM, Rasooly D, Manrai AK, Tzoulaki I, Patel CJ.
Diabetes Care
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Laboratory-wide association study of survival with prostate cancer.
Authors: Sohlberg EM, Thomas IC, Yang J, Kapphahn K, Velaer KN, Goldstein MK, Wagner TH, Chertow GM, Brooks JD, Patel CJ, Desai M, Leppert JT.
Cancer
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Examining the robustness of observational associations to model, measurement and sampling uncertainty with the vibration of effects framework.
Authors: Klau S, Hoffmann S, Patel CJ, Ioannidis JP, Boulesteix AL.
Int J Epidemiol
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Association of 152 Biomarker Reference Intervals with All-Cause Mortality in Participants of a General United States Survey from 1999 to 2010.
Authors: Pho N, Manrai AK, Leppert JT, Chertow GM, Ioannidis JPA, Patel CJ.
Clin Chem
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Plasma metabolomics of autism spectrum disorder and influence of shared components in proband families.
Authors: Chung MK, Smith MR, Lin Y, Walker DI, Jones D, Patel CJ, Kong SW.
Exposome
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What about the environment? Leveraging multi-omic datasets to characterize the environment's role in human health.
Authors: Passero K, Setia-Verma S, McAllister K, Manrai A, Patel C, Hall M.
Pac Symp Biocomput
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What about the environment? Leveraging multi-omic datasets to characterize the environment's role in human health.
Authors: Passero K, Setia-Verma S, McAllister K, Manrai A, Patel C, Hall M.
Pac Symp Biocomput
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Geospatial Analysis of Individual and Community-Level Socioeconomic Factors Impacting SARS-CoV-2 Prevalence and Outcomes.
Authors: Cromer SJ, Lakhani CM, Wexler DJ, Burnett-Bowie SM, Udler M, Patel CJ.
medRxiv
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A multi-omic analysis of birthweight in newborn cord blood reveals new underlying mechanisms related to cholesterol metabolism.
Authors: Alfano R, Chadeau-Hyam M, Ghantous A, Keski-Rahkonen P, Chatzi L, Perez AE, Herceg Z, Kogevinas M, de Kok TM, Nawrot TS, Novoloaca A, Patel CJ, Pizzi C, Robinot N, Rusconi F, Scalbert A, Sunyer J, Vermeulen R, Vrijheid M, Vineis P, Robinson O, Plusquin M.
Metabolism
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Clinical spectrum, prognosis and estimated prevalence of DNAJB11-kidney disease.
Authors: Huynh VT, Audrézet MP, Sayer JA, Ong AC, Lefevre S, Le Brun V, Després A, Senum SR, Chebib FT, Barroso-Gil M, Patel C, Mallett AJ, Goel H, Mallawaarachchi AC, Van Eerde AM, Ponlot E, Kribs M, Le Meur Y, Harris PC, Cornec-Le Gall E.
Kidney Int
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