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Polygenic and multifactorial disease gene association in man: Lessons from AIDS
S J O'Brien1, G W Nelson, C A Winkler
1Laboratory of Genomic Diversity, National Cancer Institute, Intramural Research Support Program, SAIC Frederick, National Cancer Institute-Frederick Cancer Research and Development Center, Frederick, Maryland 21702-1201, USA. obrien@ncifcrf.gov
Annual Review of Genetics
|November 28, 2000
Summary
Identifying genetic factors for complex diseases like HIV/AIDS is crucial. This study successfully pinpointed eight human gene locations influencing HIV-1 outcomes using a candidate gene approach.
Area of Science:
- Human genetics
- Molecular biology
- Infectious disease research
Background:
- Monogenic diseases are largely identified, shifting focus to complex polygenic and multifactorial diseases.
- Genetic association studies offer potential but also challenges in detecting small genetic effects in disease.
- Human immunodeficiency virus type 1 (HIV-1) infection presents a complex multifactorial disease phenotype.
Purpose of the Study:
- To identify specific human gene loci associated with varying outcomes following HIV-1 exposure.
- To demonstrate the utility and limitations of a candidate gene association approach in complex disease research.
- To validate a methodology for detecting genes involved in complex human genetic phenotypes.
Main Methods:
- Employed a candidate gene approach to analyze genetic variations.
- Focused on eight distinct human loci with potential influence on HIV-1 exposure outcomes.
- Integrated genetic association data with clinical cohorts and AIDS pathogenesis research.
Main Results:
- Successfully identified eight human gene loci with alleles influencing HIV-1 outcomes.
- The findings validate the candidate gene approach for complex disease research.
- The study highlights both the strengths and limitations inherent in association analysis.
Conclusions:
- The candidate gene approach, when integrated with clinical and basic science data, is effective for identifying genes in complex human phenotypes.
- This methodology provides a framework for future research into the genetic underpinnings of multifactorial diseases.
- Understanding genetic influences on HIV-1 outcomes is critical for advancing AIDS pathogenesis research and treatment strategies.