Effect of genetic regions on the correlation between single point mutation variability and morbidity
Computers in Biology and Medicine, ISSN: 0010-4825, Vol: 43, Issue: 5, Page: 594-599
2013
- 6Captures
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
- Captures6
- Readers6
Article Description
Cross-species sequence comparisons have suggested that cross-species sequence variability is correlated with functionality. The goal of this study was to extend this observation at different genetic regions, focusing on the morbidity of Single Nucleotide Polymorphisms (SNPs). A set of deleterious SNPs was compared to a set of neutral SNPs. Both samples were stratified according to the location of the SNPs at different genetic regions. Deleterious SNPs were observed to be less variable across species than neutral SNPs, these differences being significant for missense mutations ( p=1.1×10−9 ), SNPs in introns ( p=6.4×10−3 ), and SNPs in unknown regions ( p=8×10−4 ).
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0010482513000371; http://dx.doi.org/10.1016/j.compbiomed.2013.01.017; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84875956143&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/23473544; https://linkinghub.elsevier.com/retrieve/pii/S0010482513000371; http://www.computersinbiologyandmedicine.com/article/S0010-4825(13)00037-1/abstract
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know