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Genetic load among four Andhra caste populations

B V Babu1, Y S Kusuma, J M Naidu

  • 1Department of Anthropology, Andhra University, Visakhapatnam, India.

Social Biology
|January 1, 1994
PubMed
Summary

Inbreeding

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Area of Science:

  • Human Genetics
  • Population Genetics
  • Anthropology

Background:

  • Inbreeding can impact population health and genetic diversity.
  • Understanding the effects of inbreeding is crucial for conservation and public health.

Purpose of the Study:

  • To assess the effect of inbreeding on mortality using genetic load estimates.
  • To investigate genetic load patterns in four distinct caste populations in Andhra Pradesh, India.

Main Methods:

  • Genetic load estimation through regression analysis of inbreeding coefficients and mortality data.
  • Analysis of four specific caste populations: Chakali, Kummari, Mangali, and Madiga.

Main Results:

  • A positive, though often not statistically significant, regression coefficient (B) was observed, indicating a trend between inbreeding and mortality.
  • The Mangali population showed a significant reduction in fetal wastage with increased inbreeding.
  • The B/A values predominantly suggest a segregational genetic load, with a potential mutational load for prereproductive mortality in the Kummari.
  • Higher intercept (A) values were noted in lower socioeconomic caste groups.

Conclusions:

  • Genetic load in most studied populations is primarily segregational.
  • The Kummari population may experience a predominantly mutational load affecting prereproductive mortality.
  • Socioeconomic status appears to correlate with genetic load, with lower socioeconomic groups exhibiting higher genetic loads.

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