Evidence map›Paper›PMID 28476144›Full record

ReviewGenome biology2017

Multi-omics approaches to disease.

Yehudit Hasin, Marcus Seldin, Aldons Lusis

2 registry-linked trialsAbstract readReview
In one paragraph

Review in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 1,475 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,475citing papers in PubMed, 4 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.

NCT05144022 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Multi-level Molecular Profiling of High Acute Stress

TypeinterventionalSponsorUniversity Hospital, BonnRan2021 to 2023Enrolled35ConditionsHealthyArmsBungee jump
NCT05359744 nacompletednot on this mapstarted 2021, after this paper: background citation

A Pilot-study on Multi-level Molecular Profiling of Peak Performance in Endurance Sports

TypeinterventionalSponsorParacelsus Medical UniversityRan2021 to 2022Enrolled80ConditionsExercise, Exercise Test, Physical Fitness, HealthyArmsPerformance testing
3 · Its place in the literature

Who cites it

1,475 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  18. Target discovery and drug design in the era of artificial intelligence.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026
    Review
  19. Application of Omics Technologies for Cowpea Improvement.Plant-environment interactions (Hoboken, N.J.) · 2026
    Review
  20. Article

1,415 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yehudit HasinDepartment of Medicine, University of California, 10833 Le Conte Avenue, A2-237 CHS, Los Angeles, CA, 90095, USA.
Marcus SeldinDepartment of Medicine, University of California, 10833 Le Conte Avenue, A2-237 CHS, Los Angeles, CA, 90095, USA.
Aldons LusisDepartment of Medicine, University of California, 10833 Le Conte Avenue, A2-237 CHS, Los Angeles, CA, 90095, USA. jlusis@mednet.ucla.edu.

Funding

ULTRASTRUCTURE OF THE INTIMA IN EARLY LESION FORMATIONP01HL030568 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FOGELMAN, ALAN M · 1985 to 2019
$55.2M
Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REUE, KAREN · 1985 to 2019
$50.2M
CARDIOVASCULAR SCIENTIST TRAINING PROGRAMT32HL007895 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SHIVKUMAR, KALYANAM, WATSON, KAROL E · 1998 to 2023
$9.2M
Vascular Biology Training GrantT32HL069766 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE · 2002 to 2022
$7.4M
Systems Approach to Unraveling the Genetic Basis of Heart FailureR01HL114437 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DENG, MARIO C., KARMA, ALAIN S · 2013 to 2016
$4.7M
A Systems Approach to Dissect Genetic Basis of Heart FailureR01HL123295 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE, WANG, YIBIN · 2014 to 2017
$2.6M
NHLBI NIH HHS P01 HL028481NHLBI NIH HHS P01 HL030568NHLBI NIH HHS R01 HL114437NHLBI NIH HHS R01 HL123295NHLBI NIH HHS T32 HL007895NHLBI NIH HHS T32 HL069766
6 · The paper itself

Abstract

High-throughput technologies have revolutionized medical research. The advent of genotyping arrays enabled large-scale genome-wide association studies and methods for examining global transcript levels, which gave rise to the field of "integrative genetics". Other omics technologies, such as proteomics and metabolomics, are now often incorporated into the everyday methodology of biological researchers. In this review, we provide an overview of such omics technologies and focus on methods for their integration across multiple omics layers. As compared to studies of a single omics type, multi-omics offers the opportunity to understand the flow of information that underlies disease.

Indexed as

Genetic Predisposition to DiseaseComputational BiologyDatasets as TopicGenome-Wide Association StudyHumans

Identifiers

PMID28476144
PMCPMC5418815

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.