Evidence map›Paper›PMID 32860016›Full record

ReviewNature reviews. Genetics2021

Genetics meets proteomics: perspectives for large population-based studies.

Karsten Suhre, Mark I McCarthy, Jochen M Schwenk

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 268 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
268citing papers in PubMed, 4 pooled it
26.2field-weighted citation impact, top 1% of its field
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

268 citing papers in PubMed, 4 syntheses or guidelines pooled it, 477 citations in OpenAlex.

  1. Pooled it
  2. Screening for Circulating Inflammatory Proteins Does Not Reveal Plasma Biomarkers of Constant Tinnitus.Journal of the Association for Research in Otolaryngology : JARO · 2023
    Pooled it
  3. Pooled it
  4. Integration ofFrontiers in immunology · 2023
    Pooled it
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208 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 at 3 institutions in 3 countries.

Karsten SuhreDepartment of Biophysics and Physiology, Weill Cornell Medicine-Qatar, Doha, Qatar. kas2049@qatar-med.cornell.edu.ORCID http://orcid.org/0000-0001-9638-3912
Mark I McCarthyOxford Centre for Diabetes, Endocrinology and Metabolism, Churchill Hospital, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-4393-0510
Jochen M SchwenkAffinity Proteomics, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm, Sweden. jochen.schwenk@scilifelab.se.ORCID http://orcid.org/0000-0001-8141-8449
Centre for Human Genetics · GBScience for Life Laboratory · SEWeill Cornell Medical College in Qatar · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteomic analysis of cells, tissues and body fluids has generated valuable insights into the complex processes influencing human biology. Proteins represent intermediate phenotypes for disease and provide insight into how genetic and non-genetic risk factors are mechanistically linked to clinical outcomes. Associations between protein levels and DNA sequence variants that colocalize with risk alleles for common diseases can expose disease-associated pathways, revealing novel drug targets and translational biomarkers. However, genome-wide, population-scale analyses of proteomic data are only now emerging. Here, we review current findings from studies of the plasma proteome and discuss their potential for advancing biomedical translation through the interpretation of genome-wide association analyses. We highlight the challenges faced by currently available technologies and provide perspectives relevant to their future application in large-scale biobank studies.

Indexed as

Genome-Wide Association StudyProteomicsBiomarkersBlood ProteinsHumansPhenotypeProteomeBiomarkersBlood ProteinsProteome

Identifiers

PMID32860016
OpenAlexW3082024297

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.