Evidence map›Paper›PMID 34484122›Full record

ReviewFrontiers in endocrinology2021

The "GEnomics of Musculo Skeletal Traits TranslatiOnal NEtwork": Origins, Rationale, Organization, and Prospects.

Fjorda Koromani, Nerea Alonso, Ines Alves, Maria Luisa Brandi, Ines Foessl, Melissa M Formosa, Milana Frenkel Morgenstern, David Karasik, Mikhail Kolev, Outi Makitie and 9 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
7.3field-weighted citation impact, top 3% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
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

19 authors at 15 institutions in 15 countries.

Fjorda KoromaniDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.
Nerea AlonsoRheumatology and Bone Disease Unit, CGEM-IGMM, University of Edinburgh, Edinburgh, United Kingdom.
Ines AlvesANDO Portugal, Évora, Portugal.
Maria Luisa BrandiDepartment of Surgery and Translational Medicine (M.L.B.), University of Florence, Florence, Italy.
Ines FoesslDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Endocrinology Lab Platform, Medical University Graz, Graz, Austria.
Melissa M FormosaDepartment of Applied Biomedical Science, Faculty of Health Sciences, University of Malta, Msida, Malta.
Milana Frenkel MorgensternAzrieli Faculty of Medicine, Bar-Ilan University, Ramat Gan, Israel.
David KarasikAzrieli Faculty of Medicine, Bar-Ilan University, Ramat Gan, Israel.
Mikhail KolevDepartment of Mathematics, South-West University Neofit Rilski, Blagoevgrad, Bulgaria.
Outi MakitieChildren's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Evangelia NtzaniDepartment of Hygiene and Epidemiology, Medical School, University of Ioannina, Ioannina, Greece.
Barbara Obermayer PietschDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Endocrinology Lab Platform, Medical University Graz, Graz, Austria.
Claes OhlssonCentre for Bone and Arthritis Research, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
Martina RaunerDepartment of Medicine III, Medical Faculty, Technische Universität Dresden, Dresden, Germany.
Kent SoeClinical Cell Biology, Department of Pathology, Odense University Hospital, Odense, Denmark.
Ivan SoldatovicInstitute of Biostatistics, University of Belgrade, Belgrade, Serbia.
Anna TetiDepartment of Biotechnological and Applied Clinical Sciences, L'Aquila, Italy.
Amina ValjevacDepartment of Physiology, Medical Faculty University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Fernando RivadeneiraDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, Netherlands.
Bar-Ilan University · ILErasmus MC · NLMedical University of Graz · ATBrown University · USFolkhälsans Forskningscentrum · FISouth-West University "Neofit Rilski" · BGTU Dresden · DEUniversity of Belgrade · RSUniversity of Edinburgh · GBUniversity of Florence · ITUniversity of Gothenburg · SEUniversity of L'Aquila · ITUniversity of Malta · MTUniversity of Sarajevo · BAUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musculoskeletal research has been enriched in the past ten years with a great wealth of new discoveries arising from genome wide association studies (GWAS). In addition to the novel factors identified by GWAS, the advent of whole-genome and whole-exome sequencing efforts in family based studies has also identified new genes and pathways. However, the function and the mechanisms by which such genes influence clinical traits remain largely unknown. There is imperative need to bring multidisciplinary expertise together that will allow translating these genomic discoveries into useful clinical applications with the potential of improving patient care. Therefore "GEnomics of MusculoSkeletal traits TranslatiOnal NEtwork" (GEMSTONE) aims to set the ground for the: 1) functional characterization of discovered genes and pathways; 2) understanding of the correspondence between molecular and clinical assessments; and 3) implementation of novel methodological approaches. This research network is funded by

Indexed as

Artificial IntelligenceGenetic LociPhenotypeComputational BiologyGenome-Wide Association StudyGenomicsHumansMusculoskeletal Systemcollaborative learninggenomicsosteoporosispersonalized medicinetranslational medical research

Identifiers

PMID34484122
PMCPMC8415473
OpenAlexW3194257576

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.