O'Brien S J, Nelson G W, Winkler C A, Smith M W
Laboratory 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.
Annu Rev Genet. 2000;34:563-591. doi: 10.1146/annurev.genet.34.1.563.
In an age when the majority of monogenic human disease genes have been identified, a particular challenge for the coming generation of human geneticists will be resolving complex polygenic and multifactorial diseases. The tools of molecular and population genetic association have much potential as well as peril in uncovering small cryptic genetic effects in disease. We have used a candidate gene approach to identify eight distinct human loci with alleles that in different ways influence the outcome of exposure to HIV-1, the AIDS virus. The successes in these gene hunts have validated the approach and illustrate the strengths and limitations of association analysis in an actual case history. The integration of genetic associations, well-described clinical cohorts, extensive basic research on AIDS pathogenesis, and functional interpretation of gene connections to disease offers a formula for detecting such genes in complex human genetic phenotypes.
在大多数单基因人类疾病基因已被识别的时代,未来一代人类遗传学家面临的一项特殊挑战将是解决复杂的多基因和多因素疾病。分子遗传学和群体遗传学关联工具在揭示疾病中微小的隐性遗传效应方面既有很大潜力,也存在风险。我们采用候选基因方法来识别八个不同的人类基因座,其等位基因以不同方式影响艾滋病病毒HIV-1暴露的结果。这些基因搜寻工作的成功验证了该方法,并在一个实际案例中说明了关联分析的优势和局限性。将遗传关联、描述详尽的临床队列、对艾滋病发病机制的广泛基础研究以及基因与疾病联系的功能解释相结合,为在复杂的人类遗传表型中检测此类基因提供了一个方案。