Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Genetic and allelic heterogeneity in 248 Indians with skeletal dysplasia

Abstract

Skeletal dysplasias are a clinically and genetically heterogeneous group of rare disorders. Studies from large cohorts are essential to provide insights into the disease epidemiology, phenotypic spectrum, and mutational profiles. Here we enumerate additional 248 Indians from 197 families with a skeletal dysplasia, following a similar study earlier. We achieved a clinical-molecular diagnosis in 145 families by targeted analysis in 37 and next generation sequencing (exomes and genomes) in 108 families that resulted in a diagnostic yield of 73.6% (145 of 197 families). We identified 149 causal variants, of which 85 were novel, across 73 genes. Eighty-one distinct monogenic forms of skeletal dysplasia were observed with a high proportion of autosomal recessive skeletal dysplasias (60%, 84 families). We observed consanguinity in 35% of the families. Lysosomal storage diseases with skeletal involvement, FGFR3-related skeletal dysplasia and disorders of bone mineralisation were most frequent in this cohort. We expand the phenotypic and genotypic spectrum of rarely reported conditions (RAB33B, TRIP11, NEPRO, RPL13, COL27A1, PTHR1, EXOC6B, PRKACA, FUZ and RSPRY1) and noted novel gene-disease relationships for PISD, BNIP1, TONSL, CCN2 and SCUBE3 related skeletal dysplasia. We successfully implemented genomic testing for skeletal dysplasia in clinical and research settings. Our study provides valuable information on the spectrum of skeletal dysplasia and disease-causing variants for Asian Indians.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Flow chart outlining our study design for evaluation of skeletal dysplasia.

Similar content being viewed by others

Data availability

Most of the data relevant to this study are included here. However, any additional information about the study is available from the corresponding authors upon reasonable request.

References

  1. Unger S., Ferreira C. R., Mortier G. R., Ali H., Bertola D. R., Calder A. et al. Nosology of genetic skeletal disorders: 2023 revision. Am J Med Genet A. 2023;191:1164–1209.

  2. Spranger J. Pattern recognition in bone dysplasias. Prog Clin Biol Res. 1985;200:315–42.

    CAS  PubMed  Google Scholar 

  3. Uttarilli A, Shah H, Bhavani GS, Upadhyai P, Shukla A, Girisha KM. Phenotyping and genotyping of skeletal dysplasias: evolution of a center and a decade of experience in India. Bone. 2019;120:204–11.

    Article  PubMed  Google Scholar 

  4. Nampoothiri S, Yesodharan D, Sainulabdin G, Narayanan D, Padmanabhan L, Girisha KM, et al. Eight years experience from a skeletal dysplasia referral center in a tertiary hospital in Southern India: a model for the diagnosis and treatment of rare diseases in a developing country. Am J Med Genet A. 2014;164A(9):2317–23.

    Article  PubMed  Google Scholar 

  5. Krakow D, Rimoin DL. The skeletal dysplasias. Genet Med. 2010;12(6):327–41.

    Article  PubMed  Google Scholar 

  6. Nakatsuka N, Moorjani P, Rai N, Sarkar B, Tandon A, Patterson N, et al. The promise of discovering population-specific disease-associated genes in South Asia. Nat Genet. 2017;49(9):1403–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Bhasin MK, Nag S. Consanguinity and its effects on fertility, mortality and morbidity in the Indian region: a review. Int J Human Genet. 2012;12(4):197–301.

    Article  Google Scholar 

  8. Kulkarni ML, Samuel K, Bhagyavathi M, Sureshkumar C. Skeletal dysplasias in a hospital in southern India. Ind Pediatr. 1995;32(6):657–65.

    CAS  Google Scholar 

  9. Sheth J, Bhavsar R, Mistri M, Pancholi D, Bavdekar A, Dalal A, et al. Gaucher disease: single gene molecular characterization of one-hundred Indian patients reveals novel variants and the most prevalent mutation. BMC Med Genet. 2019;20(1):31.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Holling T, Bhavani GS, von, Elsner L, Shah H, Kausthubham N, Bhattacharyya SS, et al. A homozygous hypomorphic BNIP1 variant causes an increase in autophagosomes and reduced autophagic flux and results in a spondylo-epiphyseal dysplasia. Hum Mutat. 2022;43(5):625–42.

    Article  CAS  PubMed  Google Scholar 

  11. Lin YC, Niceta M, Muto V, Vona B, Pagnamenta AT, Maroofian R, et al. SCUBE3 loss-of-function causes a recognizable recessive developmental disorder due to defective bone morphogenetic protein signaling. Am J Hum Genet. 2021;108(1):115–33.

    Article  CAS  PubMed  Google Scholar 

  12. Girisha KM, von Elsner L, Neethukrishna K, Muranjan M, Shukla A, Bhavani GS, et al. The homozygous variant c.797G>A/p.(Cys266Tyr) in PISD is associated with a Spondyloepimetaphyseal dysplasia with large epiphyses and disturbed mitochondrial function. Hum Mutat. 2019;40(3):299–309.

    Article  CAS  PubMed  Google Scholar 

  13. Girisha KM, Pande S, Dalal A, Phadke SR. Untapped opportunities for rare disease gene discovery in India. Am J Med Genet A. 2020;182(12):3056–9.

    Article  PubMed  Google Scholar 

  14. Kausthubham N, Shukla A, Gupta N, Bhavani GS, Kulshrestha S, Das Bhowmik A, et al. A dataset of variants derived from 1455 clinical and research exomes is efficient in variant prioritization for early-onset monogenic disorders in Indians. Hum Mutat. 2021;42(4):e15–61.

    Article  CAS  PubMed  Google Scholar 

  15. Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17(5):405–24.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Girisha KM, Kortüm F, Shah H, Alawi M, Dalal A, Bhavani GS, et al. A novel multiple joint dislocation syndrome associated with a homozygous nonsense variant in the EXOC6B gene. Eur J Human Genet. 2016;24(8):1206–10.

    Article  CAS  Google Scholar 

  17. Girisha KM, Bhavani GS, Shah H, Moirangthem A, Shukla A, Kim OH, et al. Biallelic variants p.Arg1133Cys and p.Arg1379Cys in COL2A1: Further delineation of phenotypic spectrum of recessive Type 2 collagenopathies. Am J Med Genet A. 2020;182(2):338–47.

    Article  CAS  PubMed  Google Scholar 

  18. Chang HR, Cho SY, Lee JH, Lee E, Seo J, Lee HR, et al. Hypomorphic mutations in TONSL Cause SPONASTRIME dysplasia. Am J Hum Genet. 2019;104(3):439–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Singh S, Danda S, Sharma N, Shah H, Madhuri V, Mir TA, et al. Biallelic variants in CCN2 underlie an autosomal recessive kyphomelic dysplasia. Eur J Hum Genet. 2024 Nov 6; Published online

  20. Singh S., Shah H., Dalal A., Shukla A., Bhavani G. S., Girisha K. M. Two sisters with RSPRY1-related spondyloepimetaphyseal dysplasia. Am J Med Genet A. 2024, 2;e63601.

  21. Singh S, Nampoothiri S, Narayanan DL, Chaudhry C, Salvankar S, Girisha KM. Biallelic loss of function variants in FUZ result in an orofaciodigital syndrome. Eur J Hum Genet. 2024;32:1022–1026.

  22. Jacob P, Lindelöf H, Rustad CF, Sutton VR, Moosa S, Udupa P, et al. Clinical, genetic and structural delineation of RPL13-related spondyloepimetaphyseal dysplasia suggest extra-ribosomal functions of eL13. NPJ Genom Med. 2023;8(1):39.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Simsek-Kiper PO, Jacob P, Upadhyai P, Taşkıran ZE, Guleria VS, Karaosmanoglu B, et al. Biallelic loss-of-function variants in EXOC6B are associated with impaired primary ciliogenesis and cause spondylo-epi-metaphyseal dysplasia with joint laxity type 3. Hum Mutat. 2022;43(12):2116–29.

    Article  CAS  PubMed  Google Scholar 

  24. Girisha KM, Jacob P, SriLakshmi Bhavani G, Shah H, Mortier GR. Steel syndrome: Report of three patients, including monozygotic twins and review of clinical and mutation profiles. Eur J Med Genet. 2022;65(6):104521.

    Article  CAS  PubMed  Google Scholar 

  25. Upadhyai P, Radhakrishnan P, Guleria VS, Kausthubham N, Nayak SS, Superti-Furga A, et al. Biallelic deep intronic variant c.5457+81T>A in TRIP11 causes loss of function and results in achondrogenesis 1A. Hum Mutat. 2021;42(8):1005–14.

    Article  CAS  PubMed  Google Scholar 

  26. Narayanan DL, Shukla A, Kausthubham N, Bhavani GS, Shah H, Mortier G, et al. An emerging ribosomopathy affecting the skeleton due to biallelic variations in NEPRO. Am J Med Genet A. 2019;179(9):1709–17.

    Article  CAS  PubMed  Google Scholar 

  27. Salian S, Cho TJ, Phadke SR, Gowrishankar K, Bhavani GS, Shukla A, et al. Additional three patients with Smith-McCort dysplasia due to novel RAB33B mutations. Am J Med Genet A. 2017;173(3):588–95.

    Article  CAS  PubMed  Google Scholar 

  28. Moirangthem A, Narayanan DL, Jacob P, Nishimura G, Mortier G, Girisha KM. Report of second case and clinical and molecular characterization of Eiken syndrome. Clin Genet. 2018;94(5):457–60.

    Article  CAS  PubMed  Google Scholar 

  29. Jacob P, Soni JP, Mortier G, Girisha KM. The third family with Eiken syndrome. Clin Genet. 2019;96(4):378–9.

    Article  CAS  PubMed  Google Scholar 

  30. Li S, Lyu S, Fu W, Hu Y, Yue H, Chen L, et al. Clinical and genetic profiles of 985 Chinese families with skeletal dysplasia. Chin Med J. 2023;136(12):1485–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Scocchia A, Kangas-Kontio T, Irving M, Hero M, Saarinen I, Pelttari L, et al. Diagnostic utility of next-generation sequencing-based panel testing in 543 patients with suspected skeletal dysplasia. Orphanet J Rare Dis. 2021;16(1):412.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Kurt-Sukur ED, Simsek-Kiper PO, Utine GE, Boduroglu K, Alanay Y. Experience of a skeletal dysplasia registry in Turkey: a five-years retrospective analysis. Am J Med Genet A. 2015;167A(9):2065–74.

    Article  PubMed  Google Scholar 

  33. Mortier GR, Cohn DH, Cormier‐Daire V, Hall C, Krakow D, Mundlos S, et al. Nosology and classification of genetic skeletal disorders: 2019 revision. Am J Med Genet. 2019;179(12):2393–419.

    Article  PubMed  Google Scholar 

  34. Lv S, Zhao J, Xi L, Lin X, Wang C, Yue H, et al. Genetics evaluation of targeted exome sequencing in 223 Chinese probands with genetic skeletal dysplasias. Front Cell Dev Biol. 2021;9:715042.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Bae JS, Kim NKD, Lee C, Kim SC, Lee HR, Song HR, et al. Comprehensive genetic exploration of skeletal dysplasia using targeted exome sequencing. Genet Med. 2016;18(6):563–9.

    Article  CAS  PubMed  Google Scholar 

  36. Zhang H, Yang R, Wang Y, Ye J, Han L, Qiu W, et al. A pilot study of gene testing of genetic bone dysplasia using targeted next-generation sequencing. J Hum Genet. 2015;60(12):769–76.

    Article  CAS  PubMed  Google Scholar 

  37. Retterer K, Juusola J, Cho MT, Vitazka P, Millan F, Gibellini F, et al. Clinical application of whole-exome sequencing across clinical indications. Genet Med. 2016;18(7):696–704.

    Article  CAS  PubMed  Google Scholar 

  38. Silveira KC, Kanazawa TY, Silveira C, Lacarrubba-Flores MDJ, Carvalho BS, Cavalcanti DP. Molecular diagnosis in a cohort of 114 patients with rare skeletal dysplasias. Am J Med Genet C Semin Med Genet. 2021;187(3):396–408.

    Article  CAS  PubMed  Google Scholar 

  39. Hammarsjö A, Pettersson M, Chitayat D, Handa A, Anderlid BM, Bartocci M, et al. High diagnostic yield in skeletal ciliopathies using massively parallel genome sequencing, structural variant screening and RNA analyses. J Hum Genet. 2021;66(10):995–1008.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Maddirevula S, Alsahli S, Alhabeeb L, Patel N, Alzahrani F, Shamseldin HE, et al. Expanding the phenome and variome of skeletal dysplasia. Genet Med. 2018;20(12):1609–16.

    Article  CAS  PubMed  Google Scholar 

  41. Sithambaram S., Jacob P., Neethukrishna K., Bhavani G. S., Dalal A., Shah H., et al. PRKACA-related, atrial defects-polydactyly-multiple congenital malformation syndrome in an Indian patient. Am J Med Genet A. 2024;194:e63566.

  42. Singh S, Jacob P, Patil SJ, Muranjan M, Shah H, Girisha KM, et al. Indian patients with CHST3-related chondrodysplasia with congenital joint dislocations. Am J Med Genet A. 2024;194(3):e63422.

    Article  CAS  PubMed  Google Scholar 

  43. Bhavani GS, Shah H, Shukla A, Gupta N, Gowrishankar K, Rao AP, et al. Clinical and mutation profile of multicentric osteolysis nodulosis and arthropathy. Am J Med Genet Part A. 2016;170(2):410–7.

    Article  CAS  Google Scholar 

  44. Jacob P, Bhavani GSL, Shah H, Galada C, Nampoothiri S, Kamath N, et al. Pseudoachondroplasia: phenotype and genotype in 11 Indian patients. Am J Med Genet A. 2022;188(3):751–9.

    Article  CAS  PubMed  Google Scholar 

  45. Bhavani GS, Shah H, Dalal AB, Shukla A, Danda S, Aggarwal S, et al. Novel and recurrent mutations in WISP3 and an atypical phenotype. Am J Med Genet A. 2015;167A(10):2481–4.

    Article  PubMed  Google Scholar 

  46. Bidchol AM, Dalal A, Shah H, S S, Nampoothiri S, Kabra M, et al. GALNS mutations in Indian patients with mucopolysaccharidosis IVA. Am J Med Genet A. 2014;164A(11):2793–801.

    Article  PubMed  Google Scholar 

  47. Bittles AH. Endogamy, consanguinity and community genetics. J Genet. 2002;81(3):91–8.

    Article  CAS  PubMed  Google Scholar 

  48. Mrosk J, Bhavani GS, Shah H, Hecht J, Krüger U, Shukla A, et al. Diagnostic strategies and genotype-phenotype correlation in a large Indian cohort of osteogenesis imperfecta. Bone. 2018;110:368–77.

    Article  CAS  PubMed  Google Scholar 

  49. Stephen J, Shukla A, Dalal A, Girisha KM, Shah H, Gupta N, et al. Mutation spectrum of COL1A1 and COL1A2 genes in Indian patients with osteogenesis imperfecta. Am J Med Genet Part A. 2014;164(6):1482–9.

    Article  CAS  Google Scholar 

  50. Mamadapur M, Mahadevan S, ArulRajamurugan PS, Gandham S, Singh S. Multicentric Osteolysis Nodulosis and Arthropathy (MONA): A Case Series and Review of the Literature. Mediterr J Rheumatol. 2024;35:486–9.

Download references

Acknowledgements

We would like to thank the participants and their families for their consent and participation in the study. We are grateful to all the referring physicians who made this work possible. We thank the “SG10K_Pilot Investigators” for providing the SG10K_Pilot data (EGAD00001005337). The data from the “SG10K_Pilot Study” reported here were obtained from EGA. This manuscript was not prepared in collaboration with the “SG10K_Pilot Study” and does not necessarily reflect the opinions or views of the “SG10K_Pilot Study”. Additionally, we acknowledge that Figure 1 was created using BioRender.

Funding

This work was supported by the following research projects awarded to Katta M Girisha: Department of Biotechnology/Wellcome Trust India Alliance project titled “Centre for Rare Disease Diagnosis, Research and Training” (Reference number: IA/CRC/20/1/600002), Department of Science and Technology, Government of India project entitled ‘Application of Autozygosity Mapping and Exome Sequencing to Identify Genetic Basis of Disorders of Skeletal Development’ (SB/SO/HS/005/2014), and Indian Council of Medical Research project entitled “Clinical and molecular evaluation of inherited arthropathies and multiple vertebral segmentation defects” (Project ID: BMS 54/2/2013). Ashwin Dalal is supported by the Department of Biotechnology, Government of India project entitled ‘Development of Genomic Technologies for Predictive Genetic Health and Forensic Profiling’ (Grant No. BTI/AAQ/01/CDFD-Flagship/2019). Swati Singh is supported by Joint CSIR-UGC NET Junior Research Fellowship awarded by Human Resource Development Group under Council of Scientific and Industrial Research (CSIR), Government of India: (08/028(0002)/2019-EMR-I).

Author information

Authors and Affiliations

Authors

Contributions

Conceptualisation: KMG, HS, GSB; Data curation: PJ, SS, GSB; Formal analysis: PJ, SS, GSB, KMG; Funding acquisition: KMG, AD; Investigation: PJ, SS GSB, GN, GM, HS, KMG; Resources: KG, DLN, SN, SJP, JPS, MM, SK, BD, BSB, VB, SB, AB, MM, SVH, NK., RDS, DS, AS, SRP; Supervision: GSB, HS, KMG; Writing original draft: PJ, SS, KMG; Writing final draft: PJ, SS, GSB, KG, DLN, SN, SJP, JPS, MM, SK, BD, BVB, SB, AB, MM, SVH, NK, RDS, DS, AS, AD, SRP, GN, GM, HS, KMG All authors have read and approved the final version of the manuscript.

Corresponding authors

Correspondence to Hitesh Shah or Katta M. Girisha.

Ethics declarations

Competing interests

KMG is the director of Suma Genomics Private Limited and holds shares of the company that has interests in genetic testing.

Ethical approval

We obtained the informed consents from the families for genetic testing, publication of data and clinical photographs. This study has the approvals from the Institutional Ethics Committee at the Kasturba Medical College and Kasturba Hospital, Manipal (IEC:921/2018; IEC:363/2020, IEC: 430/2013, IEC: 570/2015, IEC: 302/2013).

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jacob, P., Singh, S., Bhavani, G.S. et al. Genetic and allelic heterogeneity in 248 Indians with skeletal dysplasia. Eur J Hum Genet 33, 607–613 (2025). https://doi.org/10.1038/s41431-024-01776-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41431-024-01776-8

This article is cited by

Search

Quick links