Skip to main content

Thank you for visiting 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.

  • Comment
  • Published:

Exploring the similarity between genetic diseases improves their differential diagnosis and the understanding of their etiology

The Original Article was published on 10 January 2024

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

Access options

Buy this article

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


  1. Caniza H, Cáceres JJ, Torres M, Paccanaro A. LanDis: the disease landscape explorer. Eur J Hum Genet. 2024.

  2. Choobdar S, Ahsen ME, Crawford J, Tomasoni M, Fang T, Lamparter T, et al. Assessment of network module identification across complex diseases. Nat Methods. 2019;16:843–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Gliozzo J, Perlasca P, Mesiti M, Casiraghi E, Vallacchi V, Vergani E, et al. Network modeling of patients’ biomolecular profiles for clinical phenotype/outcome prediction. Sci Rep. 2020;10:3612.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Gargano MA, Matentzoglu N, Coleman B, Addo-Lartey EB, Anagnostopoulos AV, Anderton J, et al. The Human Phenotype Ontology in 2024: phenotypes around the world. Nucleic Acids Res. 2024;52:D1333–46.

  5. Moor M, Banerjee O, Abad ZSH, Krumholz HM, Leskovec J, Topol E, et al. Foundation models for generalist medical artificial intelligence. Nature. 2023;615:259–65.

    Article  Google Scholar 

  6. Cappelletti L, Fontana T, Casiraghi E, Ravanmher V, Callahan T, Cano C, et al. GRAPE for fast and scalable graph processing and random-walk-based embedding. Nat Comput Sci. 2023;3:552–68.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Giorgio Valentini.

Ethics declarations

Competing interests

The author declares no competing interests.

Additional information

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Valentini, G. Exploring the similarity between genetic diseases improves their differential diagnosis and the understanding of their etiology. Eur J Hum Genet 32, 373–374 (2024).

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI:


Quick links