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Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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Updated: May 8, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Published on: June 21, 2018

Statistical genetics with application to population-based study design: a primer for clinicians.

Joseph Beyene1, Guillaume Pare

  • 1Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, ON, Canada.

European Heart Journal
|August 20, 2013
PubMed
Summary

Genetics and genomics are increasingly used in biomedical research, especially for complex diseases like cardiovascular disorders. This primer explains key concepts in genetic association studies for clinicians.

Keywords:
SNPStatistical geneticscase-control studygenetic associationquality control

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Area of Science:

  • Biomedical Research
  • Genetics and Genomics

Background:

  • The human genome sequence is complete, advancing genetic and genomic applications in medicine.
  • Genotyping technologies have improved, enabling large-scale genetic studies.
  • Multifactorial diseases like cardiovascular disorders are increasingly studied using genetic association approaches.

Purpose of the Study:

  • To provide clinicians with a foundational understanding of genetics and genomics in biomedical research.
  • To overview design, analysis, and methodological considerations in genetic association studies.
  • To focus on population-based study designs for genetic research.

Main Methods:

  • Overview of genetic association study designs.
  • Discussion of analytical approaches in genetic research.
  • Explanation of methodological issues in human genetics.

Main Results:

  • Identification of novel susceptibility genes for multifactorial diseases.
  • Increased routine application of large-scale population-based genetic studies.
  • Growing need for clinical understanding of genetic research concepts.

Conclusions:

  • Clinicians require basic knowledge of genetics and genomics to interpret study results.
  • Population-based genetic association studies are crucial for understanding complex diseases.
  • This primer serves as an introduction to essential concepts in genetic research.