Evidence map›Paper›PMID 29846171›Full record

ArticleeLife2018

The MR-Base platform supports systematic causal inference across the human phenome.

Gibran Hemani, Jie Zheng, Benjamin Elsworth, Kaitlin H Wade, Valeriia Haberland, Denis Baird, Charles Laurin, Stephen Burgess, Jack Bowden, Ryan Langdon and 10 more

Abstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4,810 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4,810citing papers in PubMed, 7 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

4,810 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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4,750 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

20 authors.

Gibran Hemani *Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-0920-1055
Jie Zheng *Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-6623-6839
Benjamin Elsworth *Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Kaitlin H WadeMedical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-3362-6280
Valeriia HaberlandMedical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Denis BairdMedical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-4600-6013
Charles LaurinMedical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Stephen BurgessDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-5365-8760
Jack BowdenMedical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Ryan LangdonMedical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Vanessa Y TanMedical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0001-7938-127X
James YarmolinskyMedical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Hashem A ShihabMedical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Nicholas J TimpsonMedical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
David M EvansMedical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Caroline ReltonMedical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-2052-4840
Richard M MartinMedical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-7992-7719
George Davey SmithMedical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-1407-8314
Tom R Gaunt *Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-0924-3247
Philip C Haycock *Medical Research Council (MRC) Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0001-5001-3350

Funding

British Heart Foundation RG/13/13/30194Cancer Research UK 19169Cancer Research UK 20138Cancer Research UK C18281/A19169Cancer Research UK Population Research Postdoctoral Fellowship, C52724/A20138Medical Research Council MC_UU_00002/7Medical Research Council MC_UU_00011/2Medical Research Council MC_UU_00011/4Medical Research Council MC_UU_12013/1Medical Research Council MC_UU_12013/2Medical Research Council MC_UU_12013/3Medical Research Council MC_UU_12013/4Medical Research Council MC_UU_12013/8Medical Research Council Methodology Research Fellowship, MR/N501906/1Medical Research Council MR/L003120/1Medical Research Council MR/N501906/1Wellcome Trust 202802/Z/16/ZWellcome Trust 204623/Z/16/ZWellcome Trust 208806/Z/17/Z
6 · The paper itself

Abstract

Results from genome-wide association studies (GWAS) can be used to infer causal relationships between phenotypes, using a strategy known as 2-sample Mendelian randomization (2SMR) and bypassing the need for individual-level data. However, 2SMR methods are evolving rapidly and GWAS results are often insufficiently curated, undermining efficient implementation of the approach. We therefore developed MR-Base (<ext-link ext-link-type="uri" xlink:href="http://www.mrbase.org">http://www.mrbase.org</ext-link>): a platform that integrates a curated database of complete GWAS results (no restrictions according to statistical significance) with an application programming interface, web app and R packages that automate 2SMR. The software includes several sensitivity analyses for assessing the impact of horizontal pleiotropy and other violations of assumptions. The database currently comprises 11 billion single nucleotide polymorphism-trait associations from 1673 GWAS and is updated on a regular basis. Integrating data with software ensures more rigorous application of hypothesis-driven analyses and allows millions of potential causal relationships to be efficiently evaluated in phenome-wide association studies.

Indexed as

Mendelian Randomization AnalysisCholesterol, LDLCoronary DiseaseDatabases, GeneticGenetic PleiotropyGenome-Wide Association StudyHumansModels, GeneticPhenotypePolymorphism, Single NucleotideCholesterol, LDLcausal inferencecomputational biologyGWAShumanhuman biologymedicineMendelian randomizationsystems biology

Identifiers

PMID29846171
PMCPMC5976434

What OpenQuestion holds

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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.