Evidence map›Paper›PMID 32895551›Full record

ArticleNature genetics2020

Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases.

Jie Zheng, Valeriia Haberland, Denis Baird, Venexia Walker, Philip C Haycock, Mark R Hurle, Alex Gutteridge, Pau Erola, Yi Liu, Shan Luo and 24 more

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 467 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
467citing papers in PubMed, 6 pooled it
56.7field-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

467 citing papers in PubMed, 6 syntheses or guidelines pooled it, 785 citations in OpenAlex.

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  19. Proteogenomics in human populations.Nature reviews. Genetics · 2026
    Review
  20. Article

407 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

34 authors at 8 institutions in 4 countries.

Jie ZhengMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK. jie.zheng@bristol.ac.uk.ORCID http://orcid.org/0000-0002-6623-6839
Valeriia HaberlandMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-3874-0683
Denis BairdMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.
Venexia WalkerMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.
Philip C HaycockMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.
Mark R HurleHuman Genetics, GlaxoSmithKline, Collegeville, PA, USA.
Alex GutteridgeHuman Genetics, GlaxoSmithKline, Stevenage, UK.
Pau ErolaMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.
Yi LiuMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.
Shan LuoMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.
Jamie RobinsonMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0001-8721-6514
Tom G RichardsonMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-7918-2040
James R StaleyMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.
Benjamin ElsworthMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0001-7328-4233
Stephen BurgessBHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Benjamin B SunBHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-6347-2281
John DaneshBHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Heiko RunzTranslational Biology, Biogen, Cambridge, MA, USA.
Joseph C MaranvilleInformatics and Predictive Sciences, Celgene Corporation, Cambridge, MA, USA.
Hannah M MartinSchool of Biological Sciences, University of Edinburgh, Edinburgh, UK.
James YarmolinskyMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.
Charles LaurinMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.
Michael V HolmesMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.
Jimmy Z LiuTranslational Biology, Biogen, Cambridge, MA, USA.
Karol EstradaTranslational Biology, Biogen, Cambridge, MA, USA.
Rita SantosFunctional Genomics, GlaxoSmithKline, Stevenage, Hertfordshire, UK.
Linda McCarthyHuman Genetics, GlaxoSmithKline, Stevenage, UK.
Dawn WaterworthHuman Genetics, GlaxoSmithKline, Collegeville, PA, USA.
Matthew R NelsonHuman Genetics, GlaxoSmithKline, Collegeville, PA, USA.
George Davey SmithMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-1407-8314
Adam S ButterworthProteome MR writing group.ORCID http://orcid.org/0000-0002-6915-9015
Gibran HemaniMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0003-0920-1055
Robert A ScottProteome MR writing group, . robert.a.scott@gsk.com.ORCID http://orcid.org/0000-0003-3634-3016
Tom R GauntMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Bristol, UK. tom.gaunt@bristol.ac.uk.ORCID http://orcid.org/0000-0003-0924-3247
University of Bristol · GBUniversity of Cambridge · GBGlaxoSmithKline (United Kingdom) · GBBiogen (United States) · USGlaxoSmithKline (United States) · USNational Institute for Health Research · GBPredictive Science (United States) · USUniversity of Edinburgh · GB

Funding

British Heart Foundation FS/18/23/33512British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946British Heart Foundation SP/09/002Cancer Research UK 19169Cancer Research UK 20138Cancer Research UK 29019Cancer Research UK C18281/A19169Cancer Research UK C52724/A20138Department of Health BTRU-2014-10024Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_UU_00002/7Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/4Medical Research Council MR/L003120/1Wellcome Trust 102215/2/13/2Wellcome Trust 204623/Z/16/ZWellcome Trust 208806Wellcome Trust 208806/Z/17/ZWellcome Trust 217065
6 · The paper itself

Abstract

The human proteome is a major source of therapeutic targets. Recent genetic association analyses of the plasma proteome enable systematic evaluation of the causal consequences of variation in plasma protein levels. Here we estimated the effects of 1,002 proteins on 225 phenotypes using two-sample Mendelian randomization (MR) and colocalization. Of 413 associations supported by evidence from MR, 130 (31.5%) were not supported by results of colocalization analyses, suggesting that genetic confounding due to linkage disequilibrium is widespread in naïve phenome-wide association studies of proteins. Combining MR and colocalization evidence in cis-only analyses, we identified 111 putatively causal effects between 65 proteins and 52 disease-related phenotypes ( https://www.epigraphdb.org/pqtl/ ). Evaluation of data from historic drug development programs showed that target-indication pairs with MR and colocalization support were more likely to be approved, evidencing the value of this approach in identifying and prioritizing potential therapeutic targets.

Indexed as

Genetic Predisposition to DiseaseMendelian Randomization AnalysisBlood ProteinsGenome-Wide Association StudyHumansPhenotypePolymorphism, Single NucleotideProteomeBlood ProteinsProteome

Identifiers

PMID32895551
PMCPMC7610464
OpenAlexW3083496521

What OpenQuestion holds

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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.