Evidence map›Paper›PMID 35298243›Full record

ArticleScience (New York, N.Y.)2022

Multiple causal variants underlie genetic associations in humans.

Nathan S Abell, Marianne K DeGorter, Michael J Gloudemans, Emily Greenwald, Kevin S Smith, Zihuai He, Stephen B Montgomery

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 1 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

123 citing papers in PubMed, 1 synthesis or guideline pooled it.

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63 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Nathan S AbellDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-1098-5395
Marianne K DeGorterDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-7592-752X
Michael J GloudemansBiomedical Informatics Program, Stanford University, Stanford, CA 94305, USA.
Emily GreenwaldDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-9991-6489
Kevin S SmithDepartment of Pathology, School of Medicine, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-2432-1928
Zihuai HeDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA.
Stephen B MontgomeryDepartment of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-5200-3903

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Mapping Molecular and Phenotypic Interactions in Alzheimers DiseaseR01AG066490 · NIA · STANFORD UNIVERSITY · PI MONTGOMERY, STEPHEN · 2020 to 2024
$3.6M
Decoding the regulatory architecture of the human genome across cell types, individuals and diseaseU01HG009431 · NHGRI · STANFORD UNIVERSITY · PI PRITCHARD, JONATHAN K · 2017 to 2021
$3.5M
Identifying causal genetic variants and molecular mechanisms impacting mental healthR01MH125244 · NIMH · STANFORD UNIVERSITY · PI KUNDAJE, ANSHUL, MONTGOMERY, STEPHEN · 2021 to 2025
$3.0M
Predicting causal non-coding variants in a founder populationR01HG008150 · NHGRI · STANFORD UNIVERSITY · PI MONTGOMERY, STEPHEN · 2015 to 2017
$1.4M
Integrative multi-omics in whole genome studies of HLBS disordersR01HL142015 · NHLBI · STANFORD UNIVERSITY · PI MONTGOMERY, STEPHEN · 2018 to 2019
$882k
Computational appliance: a supercomputer for modern biomedical researchS10OD023452 · OD · STANFORD UNIVERSITY · PI DATTA, SOMALEE · 2017 to 2017
$600k
NHGRI NIH HHS R01 HG008150NHGRI NIH HHS T32 HG000044NHGRI NIH HHS U01 HG009431NHLBI NIH HHS R01 HL142015NIA NIH HHS R01 AG066490NIH HHS S10 OD023452NIMH NIH HHS R01 MH125244
6 · The paper itself

Abstract

Associations between genetic variation and traits are often in noncoding regions with strong linkage disequilibrium (LD), where a single causal variant is assumed to underlie the association. We applied a massively parallel reporter assay (MPRA) to functionally evaluate genetic variants in high, local LD for independent cis-expression quantitative trait loci (eQTL). We found that 17.7% of eQTLs exhibit more than one major allelic effect in tight LD. The detected regulatory variants were highly and specifically enriched for activating chromatin structures and allelic transcription factor binding. Integration of MPRA profiles with eQTL/complex trait colocalizations across 114 human traits and diseases identified causal variant sets demonstrating how genetic association signals can manifest through multiple, tightly linked causal variants.

Indexed as

Genetic VariationLinkage DisequilibriumMultifactorial InheritanceQuantitative Trait LociAllelesAsthmaChromatinGenetic Predisposition to DiseaseGenome, HumanGenome-Wide Association StudyHaplotypesHistone CodeHumansInflammatory Bowel DiseasesMultiple SclerosisPhenotypeChromatinTranscription FactorsUntranslated Regions

Identifiers

PMID35298243
PMCPMC9725108

What OpenQuestion holds

Textmetadata
LicenceTDM
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.