Evidence map›Paper›PMID 24296534›Full record

ReviewNature reviews. Genetics2014

Systems genetics approaches to understand complex traits.

Mete Civelek, Aldons J Lusis

Abstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 359 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
359citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Pooled it
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  13. Identification ofFrontiers in aging neuroscience · 2026
    Article
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  15. Multi‑omics reveal neutrophil heterogeneity in sepsis (Review).International journal of molecular medicine · 2025
    Review
  16. Article
  17. A review of post-GWAS studies in schizophrenia.Translational psychiatry · 2025
    Review
  18. Article
  19. Article
  20. Review

299 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

2 authors.

Mete Civelek1] Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles. [2] Department of Human Genetics, University of California, Los Angeles. [3] Department of Medicine, A2-237 Center for Health Sciences, University of California, Los Angeles, California 90095-1679, USA.
Aldons J Lusis1] Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles. [2] Department of Human Genetics, University of California, Los Angeles. [3] Department of Medicine, A2-237 Center for Health Sciences, University of California, Los Angeles, California 90095-1679, USA.

Funding

ULTRASTRUCTURE OF THE INTIMA IN EARLY LESION FORMATIONP01HL030568 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TONTONOZ, PETER J · 1985 to 2019
$55.2M
Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DAVIS, RICHARD C · 1985 to 2019
$50.2M
Vascular Biology Training GrantT32HL069766 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE · 2002 to 2022
$7.4M
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
Dissection of HDL function using mouse modelsR01HL094322 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE · 2009 to 2013
$1.9M
A Systems Approach to Uncover Novel Genes and Networks in Heart FailureR21HL110667 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LUSIS, ALDONS JAKE, WANG, YIBIN · 2011 to 2012
$424k
NCCDPHP CDC HHS DP3D094311NHLBI NIH HHS HL094322NHLBI NIH HHS HL110667NHLBI NIH HHS HL28481NHLBI NIH HHS HL30568NHLBI NIH HHS P01 HL028481NHLBI NIH HHS P01 HL030568NHLBI NIH HHS R01 HL094322NHLBI NIH HHS R01 HL123295NHLBI NIH HHS R21 HL110667NHLBI NIH HHS T32 HL069766NHLBI NIH HHS T32HL69766
6 · The paper itself

Abstract

Systems genetics is an approach to understand the flow of biological information that underlies complex traits. It uses a range of experimental and statistical methods to quantitate and integrate intermediate phenotypes, such as transcript, protein or metabolite levels, in populations that vary for traits of interest. Systems genetics studies have provided the first global view of the molecular architecture of complex traits and are useful for the identification of genes, pathways and networks that underlie common human diseases. Given the urgent need to understand how the thousands of loci that have been identified in genome-wide association studies contribute to disease susceptibility, systems genetics is likely to become an increasingly important approach to understanding both biology and disease.

Indexed as

Genetic TechniquesModels, GeneticPhenotypeAnimalsEpistasis, GeneticGene Expression RegulationGene Regulatory NetworksGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansSystems Biology

Identifiers

PMID24296534
PMCPMC3934510

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.