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| Content Provider | Springer Nature Link |
|---|---|
| Author | Burk Herrick, Angela Scally, Mark Amrine Madsen, Heather Stanhope, Michael J. Springer, Mark S. |
| Copyright Year | 2006 |
| Abstract | Comparison of orthologous gene sequences is emerging as a powerful approach to elucidating functionally important positions in human disease genes. Using a diverse array of 132 mammalian BRCA1 (exon 11) sequences, we evaluated the functional significance of specific sites in the context of selection information (purifying, neutral, or diversifying) as well as the ability to extract such information from alignments that index varying degrees of mammalian diversity. Small data sets of either closely related taxa (Primates) or divergent placental taxa were unable to distinguish sites conserved due to purifying selection from sites conserved due to chance (false-positive rate = 65%–99%). Increasing the number of placental taxa to 57 greatly reduced the potential false-positive rate (0%–1.5%). Using the larger data set, we ranked the oncogenic risk of human missense mutations using a novel method that incorporates site-specific selection level and severity of the amino acid change evaluated against the amino acids present in other mammalian taxa. In addition to sites undergoing positive selection in Marsupialia, Laurasiatheria, Euarchontoglires, and Primates, we identified sites most likely to be undergoing divergent selection pressure in different lineages and six pairs of potentially interacting sites. Our results demonstrate the necessity of including large numbers of sequences to elucidate functionally important sites of a protein when using a comparative evolutionary approach. |
| Starting Page | 257 |
| Ending Page | 270 |
| Page Count | 14 |
| File Format | |
| ISSN | 09388990 |
| Journal | Mammalian Genome |
| Volume Number | 17 |
| Issue Number | 3 |
| e-ISSN | 14321777 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2006-03-03 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Anatomy Zoology Cell Biology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Genetics |
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