Evidence mapPaperPMID 22424236Full record

ArticleCell2012

Personal omics profiling reveals dynamic molecular and medical phenotypes.

Rui Chen, George I Mias, Jennifer Li-Pook-Than, Lihua Jiang, Hugo Y K Lam, Rong Chen, Elana Miriami, Konrad J Karczewski, Manoj Hariharan, Frederick E Dewey and 31 more

4 registry-linked trialsAbstract read
In one paragraph

Article in Cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 593 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
593citing papers in PubMed, 2 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02437084 phase4completedstarted 2015, after this paper: background citation

Relationship Between Insulin Resistance and Statin Induced Type 2 Diabetes, and Integrative Personal Omics Profiling

Ran2015Enrolled115Registered outcomes6Posted comparisons6ConditionsHyperlipidemia, Insulin Resistance, Type 2 DiabetesArmsAtorvastatin
Open the trial in the graph
NCT02654704 terminatednot on this mapstarted 2015, after this paper: background citation

Vaccination Responses in Young and Older Adults

TypeobservationalSponsorMichigan State UniversityRan2015 to 2020Enrolled61ConditionsIndividuality, Healthy, Asthma, Immune System and Related DisordersArmsPneumococcal Vaccination
NCT04496830 completednot on this mapstarted 2020, after this paper: background citation

Cerebrospinal Fluid-biomarkers-based Diagnostic and Prognostic Models for Multiple Sclerosis

TypeobservationalSponsorWashington University School of MedicineRan2020 to 2023Enrolled161ConditionsMultiple Sclerosis
NCT07687264 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

METabolic FLEXibility in PMOS

TypeinterventionalSponsorUniversity of ZurichRan2026 to 2029Enrolled40ConditionsPCOS (Polycystic Ovary Syndrome), Insulinemic Response, Overweight (BMI > 25)ArmsOral Clucose Tolerance Test (oGTT)
3 · Its place in the literature

Who cites it

593 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. LOESS and DE-SWAN can induce artifactual "waves" of molecular aging.bioRxiv : the preprint server for biology · 2026
    Article
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  17. Clinical Proteomics Applied to Food Allergy.Advances in experimental medicine and biology · 2026
    Review
  18. Review
  19. Review
  20. Article

533 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

41 authors.

Rui ChenDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
George I Mias
Jennifer Li-Pook-Than
Lihua Jiang
Hugo Y K Lam
Rong Chen
Elana Miriami
Konrad J Karczewski
Manoj Hariharan
Frederick E Dewey
Yong Cheng
Michael J Clark
Hogune Im
Lukas Habegger
Suganthi Balasubramanian
Maeve O'Huallachain
Joel T Dudley
Sara Hillenmeyer
Rajini Haraksingh
Donald Sharon
Ghia Euskirchen
Phil Lacroute
Keith Bettinger
Alan P Boyle
Maya Kasowski
Fabian Grubert
Scott Seki
Marco Garcia
Michelle Whirl-Carrillo
Mercedes Gallardo
Maria A Blasco
Peter L Greenberg
Phyllis Snyder
Teri E Klein
Russ B Altman
Atul J Butte
Euan A Ashley
Mark Gerstein
Kari C Nadeau
Hua Tang
Michael Snyder

Funding

Human Genome Array: Technology for Functional AnalysisP50HG002357 · YALE UNIVERSITY · 2001 to 2005
$14.4M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · YALE UNIVERSITY · 1985 to 2005
$11.7M
INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · STANFORD UNIVERSITY · 1995 to 2025
$7.2M
POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · STANFORD UNIVERSITY · 1985 to 2025
$6.3M
Training in Myocardial Biology at StanfordT32HL094274 · NHLBI · STANFORD UNIVERSITY · 2022 to 2025
$862k
European Research Council 232854NHGRI NIH HHS P50 HG002357NHGRI NIH HHS T32 HG000044NHGRI NIH HHS U54 HG004558NHLBI NIH HHS K08 HL083914NHLBI NIH HHS T32 HL094274NIGMS NIH HHS R24 GM061374NIGMS NIH HHS R24-GM61374NIGMS NIH HHS T32 GM007205NIH HHS OD004613NLM NIH HHS T15 LM007033NLM NIH HHS T15-LM007033
6 · The paper itself

Abstract

Personalized medicine is expected to benefit from combining genomic information with regular monitoring of physiological states by multiple high-throughput methods. Here, we present an integrative personal omics profile (iPOP), an analysis that combines genomic, transcriptomic, proteomic, metabolomic, and autoantibody profiles from a single individual over a 14 month period. Our iPOP analysis revealed various medical risks, including type 2 diabetes. It also uncovered extensive, dynamic changes in diverse molecular components and biological pathways across healthy and diseased conditions. Extremely high-coverage genomic and transcriptomic data, which provide the basis of our iPOP, revealed extensive heteroallelic changes during healthy and diseased states and an unexpected RNA editing mechanism. This study demonstrates that longitudinal iPOP can be used to interpret healthy and diseased states by connecting genomic information with additional dynamic omics activity.

Indexed as

Genome, HumanGenomicsPrecision MedicineDiabetes Mellitus, Type 2FemaleGene Expression ProfilingHumansMaleMetabolomicsMiddle AgedMutationProteomicsRespiratory Syncytial VirusesRhinovirus

Identifiers

PMID22424236
PMCPMC3341616

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.