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WORLD ANTHROPOLOGICAL UNION

CONGRESS 2024​

Paper

Genotyping of ABCC11 gene and Colostrum Secretions: Implications for Health and Traits among East and Northeast Populations of India

presenters

    DEBASREE DAS

    Nationality: India

    Residence: INDIA

    University of Calcutta

    Presence:Online

    Arup Ratan Bandyopadhyay

    Nationality: India

    Residence: India

    Calcutta University

    Presence:Face to Face/ On Site

Keywords:

ABCC11 genotyping, Colostrum secretions, health implications, East and North east populations

Abstract:

ABCC11 gene encodes a transmembrane protein that transports various molecules across cell membranes. A Single nucleotide polymorphism (SNP) in this gene determines the human earwax type which is a dimorphic Mendelian trait of wet and dry type. Previous studies revealed that the degree of apocrine colostrum secretion from mammary gland is associated with the type of earwax which exhibits remarkable geographical diversity across different human populations. The dry type of earwax is predominantly high among the East and South-East Asian populations (specifically Mongoloids) and thereafter spread throughout the world whereas the wet type is high among European and African populations. To meet the objective, present study aimed to investigate the association between earwax type and colostrum secretions in two different populations of India. The inclusion of the populations from North-East India, characterized by Mongoloid features, emphasizes the relevance of the present study. Genomic DNA samples of 100 breastfeeding mothers each from East and North-East population were assessed by polymerase chain reaction (PCR) and Restriction fragment length polymorphisms (RFLP). Study revealed significant (p<0.05) association between earwax type and colostrum secretions. The earwax type can be used as genetic marker in population genetic studies shedding light on population variation, human migration and adaptation. This gene polymorphism has wide range of biomedical research applications that enables a comprehensive understanding of genetic diversity and facilitating personalized medicine approaches.