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Published online before print
June 17, 2005, 10.1101/gr.3761405 Genome Res. 15:960-966, 2005 ©2005 by Cold Spring Harbor Laboratory Press; ISSN 1088-9051/05 $5.00
Methods On the probability that a novel variant is a disease-causing mutation1 McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA
When a novel variant is found in a patient and not in a group of controls, it becomes a candidate for the disease-causing mutation in that patient. At present, no sampling theory exists for assessing the probability that the novel SNP might actually be a neutral variant. We have developed a population genetics-based method for calculating a P-value for a mutation-detection effort. Our method can be applied to a heterozygous patient, a homozygous patient, with or without inbreeding, or to a patient who is a compound heterozygote. Additionally, the method can be used to calculate the probability of finding a neutral variant at frequencies that differ between a group of patients and a group of controls, given some length of sequence examined. This method accounts for the multiple testing that is inherent in identification of variants through sequencing, to be used in subsequent case-control analyses. We show, for example, that for complete resequencing of 10 kb, the probability of finding a neutral variant in a patient and not in 50 controls is about 15%. Thus, discovery of a variant in a patient and not in a group of controls is, on its own, very weak evidence of involvement with disease.
Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.3761405. Article published online before print in June 2005. 2 Present address: Departments of Statistics and Genome Sciences, University of Washington, Seattle, Washington 98195, USA.
3 Corresponding author. [Supplemental material is available online at www.genome.org.]
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