AUTHOR=Corcuff Mélanie , Garibal Marc , Desvignes Jean-Pierre , Guien Céline , Grattepanche Coralie , Collod-Béroud Gwenaëlle , Ménoret Estelle , Salgado David , Béroud Christophe 
  
TITLE=Protein domains provide a new layer of information for classifying human variations in rare diseases
  
JOURNAL=Frontiers in Bioinformatics
  
VOLUME=Volume 3 - 2023
  
YEAR=2023
  
URL=https://www.frontiersin.org/journals/bioinformatics/articles/10.3389/fbinf.2023.1127341
  
DOI=10.3389/fbinf.2023.1127341
  
ISSN=2673-7647
  
ABSTRACT=Using the ACMG-AMP guidelines for the interpretation of sequence variants, it remains difficult to meet the criterion associated with the protein domain, PM1, which is assigned in only about 10% of cases, whereas the criteria related to variant frequency, PM2/BA1/BS1, is reported in 50% of cases. To improve the classification of human missense variants using protein domains information, we developed the DOLPHIN system (https://dolphin.mmg-gbit.eu). We used Pfam alignments of eukaryotes to define DOLPHIN scores to identify protein domain residues and variants that have a significant impact. In parallel, we enriched gnomAD variants frequencies for each domains' residue. These were validated using ClinVar data. We applied this method to all potential human transcripts' variants, resulting in 30.0% being assigned a PM1 label, whereas 33.2% were eligible for a new benign support criterion, BP8. We also showed that DOLPHIN provides an extrapolated frequency for 31.8% of the variants, compared to the original frequency available in gnomAD for 7.6% of them. Overall, DOLPHIN allows a simplified use of the PM1 criterion, an expanded application of the PM2/BS1 criteria and the creation of a new BP8 criterion. DOLPHIN could facilitate the classification of amino acid substitutions in protein domains that cover nearly 40% of proteins and represent the sites of most pathogenic variants.