Evidence-based classification of genes implicated in skeletal disorders using the ClinGen curation framework

More than 770 genetic skeletal disorders have been described, most with disease-causing variants reported in one of over 550 different genes. The ClinGen Skeletal Disorders Gene Curation Expert Panel was established to determine the strength of evidence that supports specific gene-disease relationships. Such information can assist clinical testing laboratories in choosing genes that should be included on diagnostic panels. Nine genes accounting for the most frequently encountered skeletal dysplasias (COL1A1, COL1A2, COL2A1, FGFR3, SLC26A2, TRPV4, COMP, ALPL, and SOX9) associated in the medical literature with 26 different skeletal disorders were reviewed using a semi-quantitative scoring framework. This framework is utilized by ClinGen to assess the clinical validity of gene-disease relationships. All nine genes were "Definitively" associated with at least one skeletal disorder and several were associated with multiple clinically or radiographically distinct skeletal conditions. Among these 26 gene-disease relationships, the ClinGen Skeletal Disorders Gene Curation Expert Panel determined that 22 (84.6%) had Definitive relationships, 2 (7.7%) had Moderate relationships, and 2 (7.7%) had Limited relationships. None of the 26 gene-disease relationships were Disputed or Refuted. For Moderate and Limited gene-disease relationships, clinical and genetic reports from additional probands and their families are needed to upgrade these gene-disease relationships to Definitive. Up-to-date assessments about the strength of the relationship between genes and phenotypes should improve the sensitivity and specificity of genetic testing in individuals with skeletal disease. The expert curations for the nine aforementioned genes are published on the ClinGen website.

Authors

Institutions

Publication Details

Journal
Journal of Bone and Mineral Research
Published
2025-11-26
DOI
https://doi.org/10.1093/jbmr/zjaf183
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evidence-based classification of genes implicated in skeletal disorders using the ClinGen curation framework

Valérie Cormier‐Daire, Deepika Burkardt, Deborah Krakow, Madeline Hughes et al.
Journal of Bone and Mineral Research
Genomics and Rare Diseases
article

Evidence-based classification of genes implicated in skeletal disorders using the ClinGen curation framework

Valérie Cormier‐Daire, Deepika Burkardt, Deborah Krakow, Madeline Hughes, Marina T. DiStefano, Hannah McCurry, Andrea Superti‐Furga, Eleanor C Broeren, Lindsay C. Burrage, Geert R. Mortier, Pedro A. Sanchez‐Lara, Danita Velasco, Emma H. Wilcox, Lorenzo D. Botto, Anne Girod, Carlos R. Ferreira, Sandesh C. Sreenath Nagamani, Shahida Moosa, Matthew L. Warman, Nadja Ehmke, Juan Dong, Sheila Unger, Kezang Tshering, Loren D.M. Peña, Ryan Webb, Mayher Patel, Kerry K. Brown
article en

Abstract

More than 770 genetic skeletal disorders have been described, most with disease-causing variants reported in one of over 550 different genes. The ClinGen Skeletal Disorders Gene Curation Expert Panel was established to determine the strength of evidence that supports specific gene-disease relationships. Such information can assist clinical testing laboratories in choosing genes that should be included on diagnostic panels. Nine genes accounting for the most frequently encountered skeletal dysplasias (COL1A1, COL1A2, COL2A1, FGFR3, SLC26A2, TRPV4, COMP, ALPL, and SOX9) associated in the medical literature with 26 different skeletal disorders were reviewed using a semi-quantitative scoring framework. This framework is utilized by ClinGen to assess the clinical validity of gene-disease relationships. All nine genes were "Definitively" associated with at least one skeletal disorder and several were associated with multiple clinically or radiographically distinct skeletal conditions. Among these 26 gene-disease relationships, the ClinGen Skeletal Disorders Gene Curation Expert Panel determined that 22 (84.6%) had Definitive relationships, 2 (7.7%) had Moderate relationships, and 2 (7.7%) had Limited relationships. None of the 26 gene-disease relationships were Disputed or Refuted. For Moderate and Limited gene-disease relationships, clinical and genetic reports from additional probands and their families are needed to upgrade these gene-disease relationships to Definitive. Up-to-date assessments about the strength of the relationship between genes and phenotypes should improve the sensitivity and specificity of genetic testing in individuals with skeletal disease. The expert curations for the nine aforementioned genes are published on the ClinGen website.

Journal of Bone and Mineral Research
Broad Institute (US), Cedars-Sinai Medical Center (US), Cincinnati Children's Hospital Medical Center (US), Boston Children's Hospital (US), Nebraska Medical Center (US), Children's National (US), University of California, Los Angeles (US), Université Paris Cité (FR), University of Utah (US), Stellenbosch University (ZA), Tygerberg Hospital (ZA), Institut Necker Enfants Malades (FR), Centro de Genética Clínica (PT), Center for Human Genetics (US), Exact Sciences (United States) (US), Tissue Gene (United States) (US), Institute of Human Genetics (PL), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Eunice Kennedy Shriver National Institute of Child Health and Human Development (US), Texas Children's Hospital (US), University of Nebraska Medical Center (US), Charité - Universitätsmedizin Berlin (DE), University of Lausanne (CH)
Openalex Percentile: Top 61%
Genomics and Rare Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.