Evidence map›Paper›PMID 32576278›Full record

ArticleGenome medicine2020

Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort.

Wen Zhong, Anders Gummesson, Abdellah Tebani, Max J Karlsson, Mun-Gwan Hong, Jochen M Schwenk, Fredrik Edfors, Göran Bergström, Linn Fagerberg, Mathias Uhlén

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 47 citations in OpenAlex.

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  13. MS-Based Proteomics of Body Fluids: The End of the Beginning.Molecular & cellular proteomics : MCP · 2023
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  18. Using the Plasma Proteome for Risk Stratifying Patients with Pulmonary Arterial Hypertension.American journal of respiratory and critical care medicine · 2022
    Article
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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

10 authors at 3 institutions in 1 country.

Wen ZhongScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Anders GummessonDepartment of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.
Abdellah TebaniScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Max J KarlssonScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Mun-Gwan HongScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Jochen M SchwenkScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Fredrik EdforsScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Göran BergströmDepartment of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.
Linn FagerbergScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.
Mathias UhlénScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden. mathias.uhlen@scilifelab.se.ORCID 0000-0002-4858-8056
Science for Life Laboratory · SESahlgrenska University Hospital · SEKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe human plasma proteome is important for many biological processes and targets for diagnostics and therapy. It is therefore of great interest to understand the interplay of genetic and environmental factors to determine the specific protein levels in individuals and to gain a deeper insight of the importance of genetic architecture related to the individual variability of plasma levels of proteins during adult life.

methodsWe have combined whole-genome sequencing, multiplex plasma protein profiling, and extensive clinical phenotyping in a longitudinal 2-year wellness study of 101 healthy individuals with repeated sampling. Analyses of genetic and non-genetic associations related to the variability of blood levels of proteins in these individuals were performed.

resultsThe analyses showed that each individual has a unique protein profile, and we report on the intra-individual as well as inter-individual variation for 794 plasma proteins. A genome-wide association study (GWAS) using 7.3 million genetic variants identified by whole-genome sequencing revealed 144 independent variants across 107 proteins that showed strong association (P < 6 × 10

conclusionsWe show that the adult blood levels of many proteins are determined at birth by genetics, which is important for efforts aimed to understand the relationship between plasma proteome profiles and human biology and disease.

Indexed as

AgedBlood ProteinsCohort StudiesFemaleGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHumansMaleMiddle AgedProteomeWhole Genome SequencingBlood ProteinsProteomeBloodGeneticsGenome-wide associationsProtein levelsWhole-genome sequence

Identifiers

PMID32576278
PMCPMC7310558
OpenAlexW3036695122

What OpenQuestion holds

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Registered trials

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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.