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

Annual Review of Public Health

Volumn 38, Issue , 2017, Pages 279-294

  Manrai, Arjun K ^a   Cui, Yuxia ^b   Bushel, Pierre R ^b   Hall, Molly ^c   Karakitsios, Spyros ^d   Mattingly, Carolyn J ^e   Ritchie, Marylyn ^c,f   Schmitt, Charles ^g   Sarigiannis, Denis A ^d   Thomas, Duncan C ^h   Wishart, David ⁱ   Balshaw, David M ^b   Patel, Chirag J ^a,j  

^a HARVARD MEDICAL SCHOOL   (United States)

^b NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

^d ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^e NORTH CAROLINA STATE UNIVERSITY   (United States)

^f GEISINGER HEALTH SYSTEM   (United States)

^g Renaissance Computing Institute   (United States)

^h UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

ⁱ UNIVERSITY OF ALBERTA   (Canada)

^j MASSACHUSETTS GENERAL HOSPITAL   (United States)

more..

Author keywords

Bioinformatics; Data standards; Environment wide association studies; Exposures; Genomics

Indexed keywords

BIOMEDICINE; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL FACTOR; GENE INTERACTION; GENETIC ASSOCIATION; HUMAN; KNOWLEDGE; MEDICAL INFORMATICS; PRIORITY JOURNAL; PUBLIC HEALTH; REVIEW; BIOLOGY; ECOSYSTEM; MEDICAL RESEARCH; RISK FACTOR;

BIOMEDICAL RESEARCH; COMPUTATIONAL BIOLOGY; ECOSYSTEM; ENVIRONMENTAL EXPOSURE; HUMANS; PUBLIC HEALTH; RISK FACTORS;

EID: 85017186712     PISSN: 01637525     EISSN: 15452093     Source Type: Book Series    
DOI: 10.1146/annurev-publhealth-082516-012737     Document Type: Review

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