Evidence map›Paper›PMID 29727686›Full record

ReviewAmerican journal of human genetics2018

The Post-GWAS Era: From Association to Function.

Michael D Gallagher, Alice S Chen-Plotkin

Abstract readReview
In one paragraph

Review in American journal of human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 497 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
497citing papers in PubMed, 5 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

497 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Integrative Transcriptomics and Mendelian Randomization IdentifyCurrent issues in molecular biology · 2026
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  16. The Genoeconomics of Impulsive Intertemporal Choice: A Critical Review.Journal of the experimental analysis of behavior · 2026
    Review
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437 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

2 authors.

Michael D GallagherDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.
Alice S Chen-PlotkinDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: chenplot@pennmedicine.upenn.edu.

Funding

UPenn ADCC Biomarker CoreP30AG010124 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DETRE, JOHN A · 1991 to 2020
$35.1M
TMEM106B in neurodegenerative diseaseR01NS082265 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI CHEN-PLOTKIN, ALICE S · 2013 to 2024
$4.7M
Towards a blood-based diagnostic panel for confirmation of Parkinson's diseaseU01NS097056 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI CHEN-PLOTKIN, ALICE S · 2017 to 2019
$785k
Dissecting the role of disease-associated variants in the regulation of TMEM106BF31NS090892 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI GALLAGHER, MICHAEL D · 2014 to 2016
$73k
NIA NIH HHS P30 AG010124NINDS NIH HHS F31 NS090892NINDS NIH HHS R01 NS082265NINDS NIH HHS U01 NS097056
6 · The paper itself

Abstract

During the past 12 years, genome-wide association studies (GWASs) have uncovered thousands of genetic variants that influence risk for complex human traits and diseases. Yet functional studies aimed at delineating the causal genetic variants and biological mechanisms underlying the observed statistical associations with disease risk have lagged. In this review, we highlight key advances in the field of functional genomics that may facilitate the derivation of biological meaning post-GWAS. We highlight the evidence suggesting that causal variants underlying disease risk often function through regulatory effects on the expression of target genes and that these expression effects might be modest and cell-type specific. We moreover discuss specific studies as proof-of-principle examples for current statistical, bioinformatic, and empirical bench-based approaches to downstream elucidation of GWAS-identified disease risk loci.

Indexed as

Genome-Wide Association StudyGene Expression RegulationGenetic Predisposition to DiseaseHumansMolecular Sequence AnnotationQuantitative Trait LociRisk Factors

Identifiers

PMID29727686
PMCPMC5986732

What OpenQuestion holds

Textmetadata
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.