Evidence map›Paper›PMID 34938269›Full record

ReviewFrontiers in endocrinology2021

Perspective of the GEMSTONE Consortium on Current and Future Approaches to Functional Validation for Skeletal Genetic Disease Using Cellular, Molecular and Animal-Modeling Techniques.

Martina Rauner, Ines Foessl, Melissa M Formosa, Erika Kague, Vid Prijatelj, Nerea Alonso Lopez, Bodhisattwa Banerjee, Dylan Bergen, Björn Busse, Ângelo Calado and 18 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Generation ofJBMR plus · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Bone fragility and osteoporosis in children and young adults.Journal of endocrinological investigation · 2024
    Review
  6. Review
  7. Review
  8. Article
  9. Copy Number Variation and Osteoporosis.Current osteoporosis reports · 2023
    Review
  10. Article
  11. High Bone Mass Disorders: New Insights From Connecting the Clinic and the Bench.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2023
    Review
  12. Review
  13. Review
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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

28 authors at 19 institutions in 16 countries.

Martina RaunerDepartment of Medicine III, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
Ines FoesslDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Endocrine Lab Platform, Medical University of Graz, Graz, Austria.
Melissa M FormosaDepartment of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, Malta.
Erika KagueSchool of Physiology, Pharmacology, and Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, United Kingdom.
Vid PrijateljDepartment of Oral and Maxillofacial Surgery, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.
Nerea Alonso LopezRheumatology and Bone Disease Unit, CGEM, Institute of Genetics and Cancer (IGC), Edinburgh, United Kingdom.
Bodhisattwa BanerjeeMusculoskeletal Genetics Laboratory, Azrieli Faculty of Medicine, Bar-Ilan University, Safed, Israel.
Dylan BergenSchool of Physiology, Pharmacology, and Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, United Kingdom.
Björn BusseDepartment of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Ângelo CaladoInstituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Centro Académico de Medicina de Lisboa, Lisbon, Portugal.
Eleni DouniDepartment of Biotechnology, Agricultural University of Athens, Athens, Greece.
Yankel GabetDepartment of Anatomy & Anthropology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Natalia García GiraltMusculoskeletal Research Group, IMIM (Hospital del Mar Medical Research Institute), Centro de Investigación Biomédica en Red en Fragilidad y Envejecimiento Saludable (CIBERFES), ISCIII, Barcelona, Spain.
Daniel GrinbergDepartment of Genetics, Microbiology and Statistics, Faculty of Biology, Universitat de Barcelona, CIBERER, IBUB, IRSJD, Barcelona, Spain.
Nika M LovsinDepartment of Clinical Biochemistry, Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia.
Xavier Nogues SolanMusculoskeletal Research Group, IMIM (Hospital del Mar Medical Research Institute), Centro de Investigación Biomédica en Red en Fragilidad y Envejecimiento Saludable (CIBERFES), ISCIII, Barcelona, Spain.
Barbara OstanekDepartment of Clinical Biochemistry, Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia.
Nathan J PavlosBone Biology & Disease Laboratory, School of Biomedical Sciences, The University of Western Australia, Nedlands, WA, Australia.
Fernando RivadeneiraDepartment of Internal Medicine, Erasmus MC, Rotterdam, Netherlands.
Ivan SoldatovicInstitute of Medical Statistics and Informatic, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Jeroen van de PeppelDepartment of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.
Bram van der EerdenDepartment of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.
Wim van HulDepartment of Medical Genetics, University of Antwerp, Antwerp, Belgium.
Susanna BalcellsDepartment of Genetics, Microbiology and Statistics, Faculty of Biology, Universitat de Barcelona, CIBERER, IBUB, IRSJD, Barcelona, Spain.
Janja MarcDepartment of Clinical Biochemistry, Faculty of Pharmacy, University of Ljubljana, Ljubljana, Slovenia.
Sjur ReppeUnger-Vetlesen Institute, Lovisenberg Diaconal Hospital, Oslo, Norway.
Kent SøeClinical Cell Biology, Department of Pathology, Odense University Hospital, Odense, Denmark.
David KarasikAzrieli Faculty of Medicine, Bar-Ilan University, Ramat Gan, Israel.
Erasmus MC · NLUniversity of Ljubljana · SIBar-Ilan University · ILCentre for Biomedical Network Research on Rare Diseases · ESUniversity of Bristol · GBAgricultural University of Athens · GRHospital del Mar Research Institute · ESLovisenberg Diakonale Sykehus · NOMedical University of Graz · ATMunicipal Institute for Medical Research · ESTel Aviv University · ILUniversity Hospital Carl Gustav Carus · DEUniversity Medical Center Hamburg-Eppendorf · DEUniversity of Antwerp · BEUniversity of Belgrade · RSUniversity of Lisbon · PTUniversity of Malta · MTUniversity of Southern Denmark · DKUniversity of Western Australia · AU

Funding

Versus Arthritis 22044
6 · The paper itself

Abstract

The availability of large human datasets for genome-wide association studies (GWAS) and the advancement of sequencing technologies have boosted the identification of genetic variants in complex and rare diseases in the skeletal field. Yet, interpreting results from human association studies remains a challenge. To bridge the gap between genetic association and causality, a systematic functional investigation is necessary. Multiple unknowns exist for putative causal genes, including cellular localization of the molecular function. Intermediate traits ("endophenotypes"), e.g. molecular quantitative trait loci (molQTLs), are needed to identify mechanisms of underlying associations. Furthermore, index variants often reside in non-coding regions of the genome, therefore challenging for interpretation. Knowledge of non-coding variance (e.g. ncRNAs), repetitive sequences, and regulatory interactions between enhancers and their target genes is central for understanding causal genes in skeletal conditions. Animal models with deep skeletal phenotyping and cell culture models have already facilitated fine mapping of some association signals, elucidated gene mechanisms, and revealed disease-relevant biology. However, to accelerate research towards bridging the current gap between association and causality in skeletal diseases, alternative

Indexed as

AnimalsAnimals, Genetically ModifiedBone DiseasesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansModels, AnimalMultifactorial InheritanceMusculoskeletal DiseasesPhenotypeQuantitative Trait LociSystems IntegrationValidation Studies as Topicanimal modelsdata integration analysisgene regulationgenome-wide association studymusculoskeletal disease

Identifiers

PMID34938269
PMCPMC8686830
OpenAlexW3203448152

What OpenQuestion 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 OpenQuestion graph.