Participant-driven matchmaking in the genomic era.

Area of Science:

• Genomics
• Rare Diseases
• Bioinformatics

Background:

• Whole-genome and whole-exome sequencing are vital for diagnosing monogenic conditions.
• Genomic matchmaking is crucial for confirming diagnoses but faces network size limitations.
• Current matchmaking networks struggle to provide sufficient data for accurate genetic diagnoses.

Purpose of the Study:

• To address limitations in current genomic matchmaking networks.
• To propose participant-led efforts as a solution to enhance diagnostic capabilities.
• To increase the effectiveness and scope of genomic matchmaking for rare diseases.

Main Methods:

• Analyzing the limitations of existing genomic matchmaking networks.
• Highlighting the capacity of participant-led initiatives to access larger networks.
• Showcasing the value of detailed phenotypic and genotypic data provided by participants.
• Presenting two case examples of successful participant-led matchmaking.

Main Results:

• Participant-led efforts can significantly expand matchmaking networks.
• Increased data sharing by participants enhances the accuracy of genomic diagnoses.
• These initiatives improve the number and quality of matches within genomic networks.
• A model for scaling participant-led matchmaking efforts is proposed.

Conclusions:

• Participant-led genomic matchmaking offers a scalable solution to diagnostic challenges.
• Empowering patients and families enhances the utility of genomic data for rare disease diagnosis.
• Future efforts should focus on supporting and expanding these community-driven initiatives.