High yield of monogenic short stature in children from Kurdistan, Iraq: A genetic testing algorithm for consanguineous families
Language English Country United States Media print-electronic
Document type Journal Article
PubMed
39580647
DOI
10.1016/j.gim.2024.101332
PII: S1098-3600(24)00266-1
Knihovny.cz E-resources
- Keywords
- Consanguinity, Genetic testing algorithm, Pediatric endocrinology, Short stature, Short stature genes,
- MeSH
- Algorithms MeSH
- Child MeSH
- Genetic Testing * methods MeSH
- Humans MeSH
- Adolescent MeSH
- Dwarfism * genetics epidemiology diagnosis MeSH
- Consanguinity MeSH
- Child, Preschool MeSH
- Pedigree MeSH
- Exome Sequencing MeSH
- Body Height genetics MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Child, Preschool MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Iraq epidemiology MeSH
PURPOSE: Genetic testing in consanguineous families advances the general comprehension of pathophysiological pathways. However, short stature (SS) genetics remain unexplored in a defined consanguineous cohort. This study examines a unique pediatric cohort from Sulaimani, Iraq, aiming to inspire a genetic testing algorithm for similar populations. METHODS: Among 280 SS referrals from 2018-2020, 64 children met inclusion criteria (from consanguineous families; height ≤ -2.25 SD), 51 provided informed consent (30 females; 31 syndromic SS) and underwent investigation, primarily via exome sequencing. Prioritized variants were evaluated by the American College of Medical Genetics and Genomics standards. A comparative analysis was conducted by juxtaposing our findings against published gene panels for SS. RESULTS: A genetic cause of SS was elucidated in 31 of 51 (61%) participants. Pathogenic variants were found in genes involved in the GH-IGF-1 axis (GHR and SOX3), thyroid axis (TSHR), growth plate (CTSK, COL1A2, COL10A1, DYM, FN1, LTBP3, MMP13, NPR2, and SHOX), signal transduction (PTPN11), DNA/RNA replication (DNAJC21, GZF1, and LIG4), cytoskeletal structure (CCDC8, FLNA, and PCNT), transmembrane transport (SLC34A3 and SLC7A7), enzyme coding (CYP27B1, GALNS, and GNPTG), and ciliogenesis (CFAP410). Two additional participants had Silver-Russell syndrome and 1 had del22q.11.21. Syndromic SS was predictive in identifying a monogenic condition. Using a gene panel would yield positive results in only 10% to 33% of cases. CONCLUSION: A tailored testing strategy is essential to increase diagnostic yield in children with SS from consanguineous populations.
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