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Updated: Feb 19, 2026

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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
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The Bell Curve Revisited: Testing Controversial Hypotheses with Molecular Genetic Data
Dalton Conley1, Benjamin Domingue2
1Princeton University.
Summary
This study re-examines The Bell Curve's hypotheses using genetic data. Findings suggest that while genes predict educational attainment, evidence for increasing genetic stratification in society is limited.
Area of Science:
- Social Sciences
- Genetics
- Sociology
Background:
- The Bell Curve (1994) proposed controversial ideas about intelligence, genetics, and social stratification.
- Previous research lacked sufficient data to rigorously test these propositions regarding genotype's role.
Purpose of the Study:
- To test Herrnstein and Murray's core propositions using contemporary, nationally representative data with genome-wide markers.
- To investigate trends in the predictive power of genotype on achievement, assortative mating, and fertility across birth cohorts.
Main Methods:
- Utilized data from the Health and Retirement Study, a nationally representative dataset.
- Employed genome-wide molecular markers to analyze associations with educational attainment and fertility.
- Examined changes across birth cohorts in the mid-twentieth century.
Main Results:
- Molecular genetic markers significantly predict educational attainment.
- Found little evidence that the predictive power of genotype on achievement is increasing across birth cohorts.
- Observed limited evidence for increasing assortative mating on relevant genotypes or increasing genetic stratification.
Conclusions:
- Contrary to some interpretations of The Bell Curve, current data do not support the notion of increasing genetic stratification.
- While genetic factors influence educational outcomes, societal stratification appears to be driven by complex factors beyond simple genetic inheritance patterns.
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