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An Accidental Genetic Epidemiologist.
1Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio 44106, USA;
Annual Review of Genomics and Human Genetics
|January 15, 2020
Summary
This work details the discovery of the Elston-Stewart algorithm, crucial for genetic analysis, and the development of the Statistical Analysis for Genetic Epidemiology (SAGE) software. It also clarifies statistical versus biological interactions and disease heritability models.
Area of Science:
- Genetic Epidemiology
- Statistical Genetics
- Bioinformatics
Background:
- Personal journey into genetic epidemiology.
- Historical context of genetic analysis algorithms.
Discussion:
- Clarification of statistical versus biological interaction concepts.
- Development and legacy of the Statistical Analysis for Genetic Epidemiology (S.A.G.E.) software.
- Exploration of methods for familial correlation analysis.
Key Insights:
- The Elston-Stewart algorithm advanced segregation, linkage, and association analyses.
- Genotyping labs facilitated linkage discoveries and paternity testing.
- The liability model for heritability estimation may be sensitive to assumed liability distributions.
Outlook:
- Continued development and application of genetic epidemiology tools.
- Further research into complex disease heritability and familial correlations.
Keywords:
S.A.G.E.autobiographyfamilial correlations and heritabilityinteractionlinkage and associationpaternity testingsegregation analysisMore Related Videos
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