PMID- 29888048
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20200930
IS  - 2153-4063 (Print)
IS  - 2153-4063 (Electronic)
VI  - 2017
DP  - 2018
TI  - Characterizing drug-related adverse events by joint analysis of biomedical and 
      genomic data: A case study of drug-induced pulmonary fibrosis.
PG  - 91-97
AB  - Spontaneous reporting systems such as the FDA's adverse event reporting system 
      (FAERS) present a great resource to mine for and analyze real-world medication 
      usage. Our study is based on a central premise that FAERS captures unsuspected 
      drug-related adverse events (AEs). Since drug-related AEs result for several 
      reasons, no single approach will be able to predict the entire gamut of AEs. A 
      fundamental premise of systems biology is that a full understanding of a 
      biological process or phenotype (e.g., drug-related AE) requires that all the 
      individual elements be studied in conjunction with one another. We therefore 
      hypothesize that integrative analysis of FAERS-based drug-related AEs with the 
      transcriptional signatures from disease models and drug treatments can lead to 
      the generation of unbiased hypotheses for drug-induced AE-modulating mechanisms 
      of action as well as drug combinations that may target those mechanisms. We test 
      this hypothesis using drug-induced pulmonary fibrosis (DIPF) as a 
      proof-of-concept study.
FAU - Jiang, Alex
AU  - Jiang A
AD  - Division of Biomedical Informatics, Cincinnati Children's Hospital Medical 
      Center, Cincinnati, Ohio, USA.
AD  - Comell University, Ithaca, New York, USA.
FAU - Jegga, Anil G
AU  - Jegga AG
AD  - Division of Biomedical Informatics, Cincinnati Children's Hospital Medical 
      Center, Cincinnati, Ohio, USA.
AD  - Department of Pediatrics, University of Cincinnati College of Medicine, 
      Cincinnati, Ohio, USA.
AD  - Department of Computer Science, University of Cincinnati College of Engineering, 
      Cincinnati, Ohio, USA.
LA  - eng
GR  - R21 HL135368/HL/NHLBI NIH HHS/United States
PT  - Journal Article
DEP - 20180518
PL  - United States
TA  - AMIA Jt Summits Transl Sci Proc
JT  - AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on 
      Translational Science
JID - 101539486
PMC - PMC5961825
EDAT- 2018/06/12 06:00
MHDA- 2018/06/12 06:01
PMCR- 2018/05/18
CRDT- 2018/06/12 06:00
PHST- 2018/06/12 06:00 [entrez]
PHST- 2018/06/12 06:00 [pubmed]
PHST- 2018/06/12 06:01 [medline]
PHST- 2018/05/18 00:00 [pmc-release]
AID - 2839468 [pii]
PST - epublish
SO  - AMIA Jt Summits Transl Sci Proc. 2018 May 18;2017:91-97. eCollection 2018.