Using DNA from non-invasive samples to identify individuals and census populations: an evidential approach tolerant of genotyping errors

被引：0
作者：
Steven T. Kalinowski
Mark L. Taper
Scott Creel
机构：
[1] Montana State University,Department of Ecology
来源：
Conservation Genetics | 2006年 / 7卷
关键词：
allele dropout; census; DNA; genotyping error; non-invasive; statistical evidence;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
DNA extracted from hair or faeces shows increasing promise for censusing populations whose individuals are difficult to locate. To date, the main problem with this approach has been that genotyping errors are common. If these errors are not identified, counting genotypes is likely to overestimate the number of individuals in a population. Here, we describe an algorithm that uses maximum likelihood estimates of genotyping error rates to calculate the evidence that samples came from the same individual. We test this algorithm with a hypothetical model of genotyping error and show that this algorithm works well with substantial rates of genotyping error and reasonable amounts of data. Additional work is necessary to develop statistical models of error in empirical data.
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页码：319 / 329
页数：10
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