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The genetics of complex diseases.

G Thomson¹, M S Esposito

¹Dept of Integrative Biology, 3060 Valley Life Sciences Building, MC #3140, University of California, Berkeley, CA 94720-3140, USA. glenys@allel5.biol.berkeley.edu

Trends in Cell Biology

|December 28, 1999

Summary

Understanding the genetic basis of complex human diseases is challenging. While rare mutations cause Mendelian traits, common genetic variations influence prevalent disorders, requiring new research strategies.

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Area of Science:

Human Genetics
Complex Disease Genetics

Background:

Genetic factors play a crucial role in all human disorders, influencing susceptibility and environmental interactions.
Recent advances have focused on Mendelian traits, but attention is shifting to complex disorders involving multiple genes and environmental factors.
Complex diseases like cardiovascular disease, diabetes, and schizophrenia arise from common genetic variations, not rare mutations.

Purpose of the Study:

To highlight the shift in focus from Mendelian to complex genetic disorders.
To underscore the challenges in identifying genetic regions and genes associated with complex diseases.
To contextualize the impact of the human genome sequence on complex trait genetics.

Main Methods:

Review of genetic mapping and molecular identification successes in Mendelian traits.
Discussion of the shift towards studying complex diseases with multiple genetic and environmental influences.
Acknowledgement of ongoing efforts to identify genetic factors in common diseases.

Main Results:

Few genetic regions and genes involved in complex diseases have been identified despite extensive research.
Complex diseases are primarily influenced by common genetic variations prevalent in the population.
The human genome sequence, while a major accomplishment, does not offer immediate solutions for understanding complex trait genetics.

Conclusions:

The genetics of complex human disorders remain a significant challenge.
Identifying the genetic underpinnings of common diseases requires novel approaches beyond current methods.
Further research is essential to unravel the genetic architecture of prevalent health conditions.

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