Literature DB >> 27779619

A database of human exposomes and phenomes from the US National Health and Nutrition Examination Survey.

Chirag J Patel1, Nam Pho1, Michael McDuffie1, Jeremy Easton-Marks1, Cartik Kothari1, Isaac S Kohane1, Paul Avillach1.   

Abstract

The National Health and Nutrition Examination Survey (NHANES) is a population survey implemented by the Centers for Disease Control and Prevention (CDC) to monitor the health of the United States whose data is publicly available in hundreds of files. This Data Descriptor describes a single unified and universally accessible data file, merging across 255 separate files and stitching data across 4 surveys, encompassing 41,474 individuals and 1,191 variables. The variables consist of phenotype and environmental exposure information on each individual, specifically (1) demographic information, physical exam results (e.g., height, body mass index), laboratory results (e.g., cholesterol, glucose, and environmental exposures), and (4) questionnaire items. Second, the data descriptor describes a dictionary to enable analysts find variables by category and human-readable description. The datasets are available on DataDryad and a hands-on analytics tutorial is available on GitHub. Through a new big data platform, BD2K Patient Centered Information Commons (http://pic-sure.org), we provide a new way to browse the dataset via a web browser (https://nhanes.hms.harvard.edu) and provide application programming interface for programmatic access.

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Year:  2016        PMID: 27779619      PMCID: PMC5079122          DOI: 10.1038/sdata.2016.96

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   6.444


  25 in total

1.  A translational engine at the national scale: informatics for integrating biology and the bedside.

Authors:  Isaac S Kohane; Susanne E Churchill; Shawn N Murphy
Journal:  J Am Med Inform Assoc       Date:  2011-11-10       Impact factor: 4.497

2.  In silico research in the era of cloud computing.

Authors:  Joel T Dudley; Atul J Butte
Journal:  Nat Biotechnol       Date:  2010-11       Impact factor: 54.908

3.  Epidemiology. Environment and disease risks.

Authors:  Stephen M Rappaport; Martyn T Smith
Journal:  Science       Date:  2010-10-22       Impact factor: 47.728

4.  A nutrient-wide association study on blood pressure.

Authors:  Ioanna Tzoulaki; Chirag J Patel; Tomonori Okamura; Queenie Chan; Ian J Brown; Katsuyuki Miura; Hirotsugu Ueshima; Liancheng Zhao; Linda Van Horn; Martha L Daviglus; Jeremiah Stamler; Atul J Butte; John P A Ioannidis; Paul Elliott
Journal:  Circulation       Date:  2012-10-23       Impact factor: 29.690

5.  An Environment-Wide Association Study (EWAS) on type 2 diabetes mellitus.

Authors:  Chirag J Patel; Jayanta Bhattacharya; Atul J Butte
Journal:  PLoS One       Date:  2010-05-20       Impact factor: 3.240

6.  Studying the elusive environment in large scale.

Authors:  Chirag J Patel; John P A Ioannidis
Journal:  JAMA       Date:  2014-06-04       Impact factor: 56.272

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

Authors:  Chirag J Patel; David H Rehkopf; John T Leppert; Walter M Bortz; Mark R Cullen; Glenn M Chertow; John Pa Ioannidis
Journal:  Int J Epidemiol       Date:  2013-12-16       Impact factor: 7.196

8.  Environmental risk score as a new tool to examine multi-pollutants in epidemiologic research: an example from the NHANES study using serum lipid levels.

Authors:  Sung Kyun Park; Yebin Tao; John D Meeker; Siobán D Harlow; Bhramar Mukherjee
Journal:  PLoS One       Date:  2014-06-05       Impact factor: 3.240

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

Authors:  Chirag J Patel; Arjun K Manrai; Erik Corona; Isaac S Kohane
Journal:  Int J Epidemiol       Date:  2017-02-01       Impact factor: 7.196

10.  tranSMART: An Open Source and Community-Driven Informatics and Data Sharing Platform for Clinical and Translational Research.

Authors:  Brian D Athey; Michael Braxenthaler; Magali Haas; Yike Guo
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2013-03-18
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  33 in total

1.  Children's rare disease cohorts: an integrative research and clinical genomics initiative.

Authors:  Shira Rockowitz; Nicholas LeCompte; Mary Carmack; Andrew Quitadamo; Lily Wang; Meredith Park; Devon Knight; Emma Sexton; Lacey Smith; Beth Sheidley; Michael Field; Ingrid A Holm; Catherine A Brownstein; Pankaj B Agrawal; Susan Kornetsky; Annapurna Poduri; Scott B Snapper; Alan H Beggs; Timothy W Yu; David A Williams; Piotr Sliz
Journal:  NPJ Genom Med       Date:  2020-07-06       Impact factor: 8.617

Review 2.  Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health.

Authors:  Arjun K Manrai; Yuxia Cui; Pierre R Bushel; Molly Hall; Spyros Karakitsios; Carolyn J Mattingly; Marylyn Ritchie; Charles Schmitt; Denis A Sarigiannis; Duncan C Thomas; David Wishart; David M Balshaw; Chirag J Patel
Journal:  Annu Rev Public Health       Date:  2016-12-23       Impact factor: 21.981

3.  High-Dimensional Confounding Adjustment Using Continuous Spike and Slab Priors.

Authors:  Joseph Antonelli; Giovanni Parmigiani; Francesca Dominici
Journal:  Bayesian Anal       Date:  2019-06-11       Impact factor: 3.728

4.  Using Metabolic and Biochemical Indicators to Predict Diabetic Retinopathy by Back-Propagation Artificial Neural Network.

Authors:  Bo Su
Journal:  Diabetes Metab Syndr Obes       Date:  2021-09-15       Impact factor: 3.168

Review 5.  Assessing health risks from multiple environmental stressors: Moving from G×E to I×E.

Authors:  Cliona M McHale; Gwendolyn Osborne; Rachel Morello-Frosch; Andrew G Salmon; Martha S Sandy; Gina Solomon; Luoping Zhang; Martyn T Smith; Lauren Zeise
Journal:  Mutat Res Rev Mutat Res       Date:  2017-11-24       Impact factor: 5.657

6.  Data Science in Environmental Health Research.

Authors:  Christine Choirat; Danielle Braun; Marianthi-Anna Kioumourtzoglou
Journal:  Curr Epidemiol Rep       Date:  2019-07-15

7.  A New Equation Based on the Standard Lipid Panel for Calculating Small Dense Low-Density Lipoprotein-Cholesterol and Its Use as a Risk-Enhancer Test.

Authors:  Maureen Sampson; Anna Wolska; Russell Warnick; Diego Lucero; Alan T Remaley
Journal:  Clin Chem       Date:  2021-07-06       Impact factor: 8.327

8.  Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties.

Authors:  Joseph Antonelli; Georgia Papadogeorgou; Francesca Dominici
Journal:  Biometrics       Date:  2020-12-31       Impact factor: 2.571

9.  Association of 152 Biomarker Reference Intervals with All-Cause Mortality in Participants of a General United States Survey from 1999 to 2010.

Authors:  Nam Pho; Arjun K Manrai; John T Leppert; Glenn M Chertow; John P A Ioannidis; Chirag J Patel
Journal:  Clin Chem       Date:  2021-03-01       Impact factor: 8.327

10.  Data Processing Thresholds for Abundance and Sparsity and Missed Biological Insights in an Untargeted Chemical Analysis of Blood Specimens for Exposomics.

Authors:  Dinesh Kumar Barupal; Sadjad Fakouri Baygi; Robert O Wright; Manish Arora
Journal:  Front Public Health       Date:  2021-06-10
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