Computer analysis of parentage in relation to maternity and paternity

Area of Science:

• Forensic genetics
• Statistical genetics
• Anthropology

Background:

• Blood group analysis has historically been used for parentage testing.
• Accurate statistical methods are crucial for interpreting genetic data in parentage cases.
• Existing methods may lack comprehensive statistical frameworks for various parentage scenarios.

Purpose of the Study:

• To develop general statistical formulas for parentage, paternity, and maternity testing using blood group data.
• To create a computer program for calculating key parentage metrics.
• To analyze the relative reliability of parentage, paternity, and maternity assessments.

Main Methods:

• Derivation of general statistical formulas for parentage, paternity, and maternity.
• Development of a computer program to implement these formulas.
• Calculation of plausibilities, exclusion probabilities, and log (Y/X) distributions for 14 blood groups.

Main Results:

• The computer program calculates parentage, paternity, and maternity probabilities.
• Plausibility and exclusion probabilities are highest for parentage, followed by paternity, then maternity.
• A consistent ratio (1:0.6:0.36) was found for the distribution of log (Y/X) in true parentage, paternity, and maternity cases across all 14 blood groups.

Conclusions:

• The developed formulas and program provide a robust statistical framework for blood group-based parentage analysis.
• The findings quantify the differential reliability of parentage, paternity, and maternity assessments.
• The identified relationship in log (Y/X) distributions offers a simplified model for genetic data interpretation in family studies.