Polygenic and multifactorial disease gene association in man: Lessons from AIDS
Annual Review of Genetics, ISSN: 0066-4197, Vol: 34, Issue: 1, Page: 563-591
2000
- 69Citations
- 30Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations69
- Citation Indexes67
- 67
- CrossRef62
- Patent Family Citations1
- Patent Families1
- Policy Citations1
- Policy Citation1
- Captures30
- Readers30
- 29
Review Description
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.
Bibliographic Details
Annual Reviews
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know