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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
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Twin Studies: A Unique Epidemiological Tool.

Monalisha Sahu1, Josyula G Prasuna1

  • 1Department of Community Medicine, Lady Hardinge Medical College, New Delhi, India.

Indian Journal of Community Medicine : Official Publication of Indian Association of Preventive & Social Medicine
|July 8, 2016
PubMed
Summary

Twin studies assess genetic versus environmental influences on traits. Despite older assumptions, their findings are increasingly validated by molecular genetics, enhancing their value in life sciences.

Keywords:
Concordance ratesmolecular studiesstatistical analysis system (SAS)twin registriestwin studies

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Area of Science:

  • Epidemiology
  • Genetics
  • Life Sciences

Background:

  • Classical twin studies, guided by 1920s assumptions, evaluate genetic and environmental contributions to traits.
  • Inherent design limitations exist, yet findings often align with later molecular genetic research.

Purpose of the Study:

  • To highlight the enduring utility and evolving methodologies of twin studies in understanding trait determinants.
  • To underscore the synergy between traditional twin study designs and modern molecular genetics.

Main Methods:

  • Utilizes twin registries for data collection.
  • Employs advanced statistical software packages like SAS (Statistical Analysis System) and its extensions (e.g., SAS PROC GENMOD, SAS PROC PHREG).

Main Results:

  • Confirms the value of twin studies, with earlier findings frequently corroborated by molecular genetic evidence.
  • Demonstrates the enhanced potential of twin studies through sophisticated analytical tools.

Conclusions:

  • Twin studies remain a vital epidemiological tool for dissecting genetic and environmental influences.
  • Integration with advanced statistical methods and molecular data amplifies the contribution of twin studies to genetics and life sciences.