[Parenthood diagnosis within a family. I. Algorithm and decision-making (author's transl)]

Area of Science:

• Genetics
• Forensic Science
• Anthropology

Context:

• Parenthood determination relies on genetic markers and human polymorphism.
• Accurate fatherhood diagnosis is crucial in legal and familial contexts.
• Existing computational tools for paternity testing require refinement.

Purpose:

• To introduce a novel decisional strategy for fatherhood diagnosis.
• To highlight the utility of a previously overlooked index in paternity analysis.
• To improve the accuracy and reliability of fatherhood testing.

Summary:

• This study presents a computer program, Fratrie, for fatherhood diagnosis, analyzing familial genetic data.
• It identifies parenthood exclusions and calculates decisional indices for paternity assessment.
• A key finding is the significance of the 'percentage of men rejected' index for improving diagnostic strategy.

Impact:

• The proposed strategy enhances the precision of fatherhood exclusion.
• This research offers a more robust method for genetic paternity testing.
• Improved diagnostic tools contribute to more reliable familial relationship verification.