Related Experiment Video
Updated: Jan 27, 2026

Improved Swiss-rolling Technique for Intestinal Tissue Preparation for Immunohistochemical and Immunofluorescent Analyses
Published on: July 13, 2016
An enhanced workflow for variant interpretation in UniProtKB/Swiss-Prot improves consistency and reuse in ClinVar
M L Famiglietti1, A Estreicher1, L Breuza1
1Swiss-Prot Group, SIB Swiss Institute of Bioinformatics, CMU, Geneva 4, Switzerland.
Integrating UniProtKB/Swiss-Prot and ClinVar enhances genomic medicine by harmonizing variant interpretations. This collaboration improves the accuracy and utility of genetic variant data for personalized patient care.
Area of Science:
- Genomic Medicine
- Bioinformatics
- Clinical Genetics
Background:
- Personalized genomic medicine requires integrated genetic and phenotypic data with functional variant knowledge.
- UniProtKB/Swiss-Prot and ClinVar are key resources for variant information, but integration challenges exist.
Purpose of the Study:
- To pilot the integration of curated protein sequence variation data from UniProtKB/Swiss-Prot with ClinVar.
- To assess the concordance of variant interpretations between the two resources and improve agreement.
Main Methods:
- Comparative analysis of variant interpretations between UniProtKB/Swiss-Prot and ClinVar.
- Re-curation of a subset of variants using American College of Medical Genetics and Genomics (ACMG) guidelines and ClinGen tools.
- Incorporation of ACMG guidelines and ClinGen tools into the UniProtKB curation workflow.
Main Results:
- High concordance (88%) was observed for variant interpretations common to UniProtKB/Swiss-Prot and ClinVar.
- Re-curation, particularly using population frequency data, increased agreement by reclassifying variants.
- UniProtKB now routinely submits data to ClinVar and uses ACMG guidelines in its workflow.
Conclusions:
- Integration of UniProtKB/Swiss-Prot and ClinVar data enhances the reliability of variant interpretations.
- Standardized curation workflows improve data usability and facilitate ongoing re-evaluation of clinical significance.
- These efforts support the advancement of personalized genomic medicine.
More Related Videos
Related Concept Videos
Histone Variants at the Centromere
Interpreting R Charts
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
Interpreting Run Charts
Mass Spectrum: Interpretation
Interpretation of Confidence Intervals
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
Self-Evaluation: Self-Enhancement and Self-Verification

