Evidence map›Paper›PMID 25652787›Full record

ArticleMolecular systems biology2015

Quantitative variability of 342 plasma proteins in a human twin population.

Yansheng Liu, Alfonso Buil, Ben C Collins, Ludovic C J Gillet, Lorenz C Blum, Lin-Yang Cheng, Olga Vitek, Jeppe Mouritsen, Genevieve Lachance, Tim D Spector and 2 more

Open access · goldAbstract readTwin Study
In one paragraph

Article in Molecular systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
174citing papers in PubMed, 2 pooled it
29.9field-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

174 citing papers in PubMed, 2 syntheses or guidelines pooled it, 351 citations in OpenAlex.

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  7. Proteogenomics in human populations.Nature reviews. Genetics · 2026
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114 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

12 authors at 5 institutions in 3 countries.

Yansheng LiuDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland liu@imsb.biol.ethz.ch aebersold@imsb.biol.ethz.ch.
Alfonso BuilDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.
Ben C CollinsDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Ludovic C J GilletDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Lorenz C BlumDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Lin-Yang ChengDepartment of Statistics and Department of Computer Science, Purdue University, West Lafayette, IN, USA.
Olga VitekDepartment of Statistics and Department of Computer Science, Purdue University, West Lafayette, IN, USA.
Jeppe MouritsenDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Genevieve LachanceDepartment of Twin Research and Genetic Epidemiology, King's College London St Tomas' Hospital Campus, London, UK.
Tim D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London St Tomas' Hospital Campus, London, UK.
Emmanouil T DermitzakisDepartment of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.
Ruedi AebersoldDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland Faculty of Science, University of Zurich, Zurich, Switzerland liu@imsb.biol.ethz.ch aebersold@imsb.biol.ethz.ch.
ETH Zurich · CHPurdue University West Lafayette · USSt Thomas' Hospital · GBUniversity of Geneva · CHUniversity of Zurich · CH

Funding

European Research Council 233226Wellcome Trust
6 · The paper itself

Abstract

The degree and the origins of quantitative variability of most human plasma proteins are largely unknown. Because the twin study design provides a natural opportunity to estimate the relative contribution of heritability and environment to different traits in human population, we applied here the highly accurate and reproducible SWATH mass spectrometry technique to quantify 1,904 peptides defining 342 unique plasma proteins in 232 plasma samples collected longitudinally from pairs of monozygotic and dizygotic twins at intervals of 2-7 years, and proportioned the observed total quantitative variability to its root causes, genes, and environmental and longitudinal factors. The data indicate that different proteins show vastly different patterns of abundance variability among humans and that genetic control and longitudinal variation affect protein levels and biological processes to different degrees. The data further strongly suggest that the plasma concentrations of clinical biomarkers need to be calibrated against genetic and temporal factors. Moreover, we identified 13 cis-SNPs significantly influencing the level of specific plasma proteins. These results therefore have immediate implications for the effective design of blood-based biomarker studies.

Indexed as

Polymorphism, Single NucleotideAdultAgedBlood ProteinsComputational BiologyDatabases, GeneticEvaluation Studies as TopicFemaleGenetic MarkersHumansLinear ModelsLongitudinal StudiesMiddle AgedProteomicsQuantitative Trait LociTwins, DizygoticBlood ProteinsGenetic Markersheritabilitylongitudinal variabilityplasma biomarkersSWATH‐MStwin study

Identifiers

PMID25652787
PMCPMC4358658
OpenAlexW2142205442

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.