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Fisher's influence on me.

Robert C Elston1

  • 1Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio.

Genetic Epidemiology
|October 10, 2018
PubMed
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Celebrating 100 years of Fisher's Mendelian inheritance paper, this reflection highlights his profound impact on modern genetic epidemiology through statistical methods like maximum likelihood and correlation analysis.

Area of Science:

  • Genetics
  • Epidemiology
  • Biostatistics

Background:

  • Commemorating the centenary of R.A. Fisher's seminal 1918 paper on Mendelian inheritance and correlation between relatives.
  • The paper laid foundational concepts influencing modern genetic epidemiology and statistical genetics.
  • Fisher's work continues to shape the understanding of heritability and familial aggregation of traits.

Discussion:

  • Fisher's statistical methodologies, including maximum likelihood and discriminant analysis, profoundly influenced the author's approach to genetic epidemiology.
  • Key concepts such as interclass and intraclass correlations were pivotal in developing statistical models for genetic studies.
  • Transforming semiquantitative scores to minimize interactions, a technique learned from Fisher, proved valuable in analyzing complex genetic data.
Keywords:
R.A. Fishercorrelationsinteractionmaximum likelihood (ML)

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Key Insights:

  • Fisher's 1918 publication remains a cornerstone in the field of genetic epidemiology.
  • The author's personal and professional journey was significantly shaped by Fisher's statistical principles.
  • Maximum likelihood estimation and correlation analyses are essential tools in contemporary genetic research.

Outlook:

  • Continued application of Fisher's statistical frameworks in advancing genetic epidemiology research.
  • The enduring legacy of Fisher's work in statistical genetics and quantitative trait analysis.
  • Future directions in genetic epidemiology will likely build upon the statistical foundations established by Fisher.