Evidence map›Paper›PMID 33441155›Full record

ArticleGenome biology2021

The variant call format provides efficient and robust storage of GWAS summary statistics.

Matthew S Lyon, Shea J Andrews, Ben Elsworth, Tom R Gaunt, Gibran Hemani, Edoardo Marcora

Abstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
169citing papers in PubMed, 11 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

169 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  6. Identification ofDepression and anxiety · 2025
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  13. Association Between Socioeconomic Status and Atrial Fibrillation: A Two-Sample Mendelian Randomization Study.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
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109 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

6 authors.

Matthew S LyonNational Institute for Health Research (NIHR) Bristol Biomedical Research Centre (BRC), Bristol Medical School (Population Health Sciences), University of Bristol, Oakfield House, Bristol, BS8 2BN, UK. matt.lyon@bristol.ac.uk.ORCID 0000-0002-2500-1013
Shea J AndrewsRonald M. Loeb Center for Alzheimer's Disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029-5674, USA.ORCID 0000-0002-1921-9470
Ben ElsworthMedical Research Council (MRC) Integrative Epidemiology Unit (IEU), Bristol Medical School (Population Health Sciences), University of Bristol, Oakfield House, Bristol, BS8 2BN, UK.ORCID 0000-0001-7328-4233
Tom R GauntNational Institute for Health Research (NIHR) Bristol Biomedical Research Centre (BRC), Bristol Medical School (Population Health Sciences), University of Bristol, Oakfield House, Bristol, BS8 2BN, UK.ORCID 0000-0003-0924-3247
Gibran HemaniMedical Research Council (MRC) Integrative Epidemiology Unit (IEU), Bristol Medical School (Population Health Sciences), University of Bristol, Oakfield House, Bristol, BS8 2BN, UK.ORCID 0000-0003-0920-1055
Edoardo MarcoraRonald M. Loeb Center for Alzheimer's Disease, Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029-5674, USA.ORCID 0000-0002-3829-4927

Funding

Genomic approach to identification of microglial networks involved in Alzheimer’s disease riskU01AG058635 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GOATE, ALISON M · 2018 to 2022
$4.8M
Identification and characterization of AD risk networks using multi-dimensional "omics" dataU01AG052411 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CRUCHAGA, CARLOS, GOATE, ALISON M · 2016 to 2020
$4.5M
Elucidating the causal associations underlying Alzheimer's diseaseK99AG070109 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ANDREWS, SHEA J · 2021 to 2022
$252k
Cancer Research UK 29019Department of HealthMedical Research Council MC_UU_00011/4NIA NIH HHS K99 AG070109NIA NIH HHS U01 AG052411NIA NIH HHS U01 AG058635Wellcome TrustWellcome Trust 208806/Z/17/Z
6 · The paper itself

Abstract

GWAS summary statistics are fundamental for a variety of research applications yet no common storage format has been widely adopted. Existing tabular formats ambiguously or incompletely store information about genetic variants and associations, lack essential metadata and are typically not indexed yielding poor query performance and increasing the possibility of errors in data interpretation and post-GWAS analyses. To address these issues, we adapted the variant call format to store GWAS summary statistics (GWAS-VCF) and developed open-source tools to use this format in downstream analyses. We provide open access to over 10,000 complete GWAS summary datasets converted to this format ( https://gwas.mrcieu.ac.uk ).

Indexed as

Databases, GeneticGenome-Wide Association StudyGenomicsHumansSoftwareGWASStorage formatSummary statisticsVCF

Identifiers

PMID33441155
PMCPMC7805039

What Socratic 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 Socratic graph.