Evidence map›Paper›PMID 31164647›Full record

ArticleNature communications2019

Functional testing of thousands of osteoarthritis-associated variants for regulatory activity.

Jason C Klein, Aidan Keith, Sarah J Rice, Colin Shepherd, Vikram Agarwal, John Loughlin, Jay Shendure

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 pooled it
4.3field-weighted citation impact, top 4% 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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it, 99 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Mechanoepigenetics in musculoskeletal disease.Osteoarthritis and cartilage · 2026
    Review
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2 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

7 authors at 3 institutions in 2 countries.

Jason C KleinDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.ORCID http://orcid.org/0000-0001-9566-6347
Aidan KeithDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
Sarah J RiceSkeletal Research Group, Institute of Genetic Medicine, Newcastle University, International Centre for Life, Newcastle-upon-Tyne, NE1 3BZ, UK.
Colin ShepherdSkeletal Research Group, Institute of Genetic Medicine, Newcastle University, International Centre for Life, Newcastle-upon-Tyne, NE1 3BZ, UK.
Vikram AgarwalDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
John LoughlinSkeletal Research Group, Institute of Genetic Medicine, Newcastle University, International Centre for Life, Newcastle-upon-Tyne, NE1 3BZ, UK.
Jay ShendureDepartment of Genome Sciences, University of Washington, Seattle, WA, 98195, USA. shendure@uw.edu.ORCID http://orcid.org/0000-0002-1516-1865
Centre for Life · GBUniversity of Washington · USHoward Hughes Medical Institute · US

Funding

University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
Massively parallel reporter assays and genome editing of ENCODE predicted regulatory elementsUM1HG009408 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, SHENDURE, JAY ASHOK · 2017 to 2021
$7.6M
Integrative interpretation of the organismal consequences of non-coding variationR01CA197139 · NCI · UNIVERSITY OF WASHINGTON · PI COOPER, GREGORY MICHAEL, SHENDURE, JAY ASHOK · 2015 to 2017
$1.9M
Massively parallel, in vivo functional testing of regulatory elementsR01HG006768 · NHGRI · UNIVERSITY OF WASHINGTON · PI AHITUV, NADAV, SHENDURE, JAY ASHOK · 2012 to 2014
$1.8M
Functional Validation of Thousands of GWAS VariantsF30HG009479 · NHGRI · UNIVERSITY OF WASHINGTON · PI KLEIN, JASON CHESLER · 2017 to 2020
$164k
Arthritis Research UK 20771Medical Research Council MR/P020941/1NCI NIH HHS R01 CA197139NHGRI NIH HHS F30 HG009479NHGRI NIH HHS R01 HG006768NHGRI NIH HHS UM1 HG009408NIGMS NIH HHS T32 GM007266Versus Arthritis 20771
6 · The paper itself

Abstract

To date, genome-wide association studies have implicated at least 35 loci in osteoarthritis but, due to linkage disequilibrium, the specific variants underlying these associations and the mechanisms by which they contribute to disease risk have yet to be pinpointed. Here, we functionally test 1,605 single nucleotide variants associated with osteoarthritis for regulatory activity using a massively parallel reporter assay. We identify six single nucleotide polymorphisms (SNPs) with differential regulatory activity between the major and minor alleles. We show that the most significant SNP, rs4730222, exhibits differential nuclear protein binding in electrophoretic mobility shift assays and drives increased expression of an alternative isoform of HBP1 in a heterozygote chondrosarcoma cell line, in a CRISPR-edited osteosarcoma cell line, and in chondrocytes derived from osteoarthritis patients. This study provides a framework for prioritization of GWAS variants and highlights a role of HBP1 and Wnt signaling in osteoarthritis pathogenesis.

Indexed as

Gene Regulatory NetworksAllelesCartilage, ArticularCell Line, TumorChondrocytesElectrophoretic Mobility Shift AssayGene Knock-In TechniquesGenetic Predisposition to DiseaseGenome-Wide Association StudyHaplotypesHigh Mobility Group ProteinsHumansLinkage DisequilibriumNuclear ProteinsOsteoarthritisPolymorphism, Single NucleotideHBP1 protein, humanHigh Mobility Group ProteinsNuclear ProteinsProtein IsoformsRepressor Proteins

Identifiers

PMID31164647
PMCPMC6547687
OpenAlexW2951845986

What OpenQuestion holds

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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 OpenQuestion graph.