Title |
Using protein complexes to predict phenotypic effects of gene mutation
|
---|---|
Published in |
Genome Biology, November 2007
|
DOI | 10.1186/gb-2007-8-11-r252 |
Pubmed ID | |
Authors |
Hunter B Fraser, Joshua B Plotkin |
Abstract |
Predicting the phenotypic effects of mutations is a central goal of genetics research; it has important applications in elucidating how genotype determines phenotype and in identifying human disease genes. Using a wide range of functional genomic data from the yeast Saccharomyces cerevisiae, we show that the best predictor of a protein's knockout phenotype is the knockout phenotype of other proteins that are present in a protein complex with it. Even the addition of multiple datasets does not improve upon the predictions made from protein complex membership. Similarly, we find that a proxy for protein complexes is a powerful predictor of disease phenotypes in humans. We propose that identifying human protein complexes containing known disease genes will be an efficient method for large-scale disease gene discovery, and that yeast may prove to be an informative model system for investigating, and even predicting, the genetic basis of both Mendelian and complex disease phenotypes. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 3% |
United Kingdom | 3 | 3% |
United States | 2 | 2% |
India | 1 | 1% |
Australia | 1 | 1% |
Finland | 1 | 1% |
Poland | 1 | 1% |
Unknown | 76 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 31 | 35% |
Researcher | 23 | 26% |
Student > Master | 8 | 9% |
Professor > Associate Professor | 6 | 7% |
Professor | 5 | 6% |
Other | 12 | 14% |
Unknown | 3 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 59 | 67% |
Biochemistry, Genetics and Molecular Biology | 13 | 15% |
Computer Science | 8 | 9% |
Medicine and Dentistry | 2 | 2% |
Chemistry | 2 | 2% |
Other | 1 | 1% |
Unknown | 3 | 3% |