The analysis of g-isonymy data

Area of Science:

• Population Genetics
• Anthropology
• Sociology

Background:

• Isonymy, the study of shared surnames, provides insights into population structure and marriage patterns.
• Generalized isonymy (g-isonymy) extends this by considering individuals with the same surname related through marriage, not necessarily direct spouses.
• Understanding marriage preferences, including consanguinity, is crucial for population genetics and social structure analysis.

Purpose of the Study:

• To propose a generalizable method for analyzing generalized isonymic data.
• To quantify the random and non-random components influencing g-isonymy frequencies.
• To investigate subcomponents related to preferences for or against close and remote consanguineous marriages.

Main Methods:

• Development of a novel analytical framework for g-isonymic data.
• Decomposition of g-isonymy frequencies into random and non-random elements.
• Application of the method to a specific dataset (Bhatia community).

Main Results:

• The proposed method successfully quantifies components of g-isonymy.
• Analysis revealed specific patterns of marriage preference within the studied community.
• The study identified contributions of consanguineous marriage preferences to g-isonymy.

Conclusions:

• The developed method offers a robust approach to analyzing complex marriage patterns through g-isonymy.
• Findings contribute to understanding the interplay of surname, marriage, and genetic structure.
• The study highlights the utility of g-isonymy analysis in anthropological and genetic research.