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PMID: 17409078 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

An exact nonparametric method for inferring mosaic structure in sequence triplets.

Genetics ·Vol. 176 ·No. 2 ·2007-06-00 ·Pages 1035-47

Boni MF, Posada D, Feldman MW

Abstract

Statistical tests for detecting mosaic structure or recombination among nucleotide sequences usually rely on identifying a pattern or a signal that would be unlikely to appear under clonal reproduction. Dozens of such tests have been described, but many are hampered by long running times, confounding of selection and recombination, and/or inability to isolate the mosaic-producing event. We introduce a test that is exact, nonparametric, rapidly computable, free of the infinite-sites assumption, able to distinguish between recombination and variation in mutation/fixation rates, and able to identify the breakpoints and sequences involved in the mosaic-producing event. Our test considers three sequences at a time: two parent sequences that may have recombined, with one or two breakpoints, to form the third sequence (the child sequence). Excess similarity of the child sequence to a candidate recombinant of the parents is a sign of recombination; we take the maximum value of this excess similarity as our test statistic Delta(m,n,b). We present a method for rapidly calculating the distribution of Delta(m,n,b) and demonstrate that it has comparable power to and a much improved running time over previous methods, especially in detecting recombination in large data sets.

MeSH Terms
Adult Child Female Genetic Variation Humans Linkage Disequilibrium Male Models, Genetic Mosaicism Mutation Recombination, Genetic Statistics, Nonparametric Triplets/genetics
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Boni Maciej F
Stanford Genome Technology Center, Palo Alto, California 94304, USA. maciek@charles.stanford.edu
Posada David
Feldman Marcus W
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Article Info
Journal
Genetics
Abbr.
Genetics
ISSN
0016-6731
Published
2007-06-00
Epub
2007-00-03
Pages
1035-47
Language
English
Region
United States
NLM ID
0374636
PMCID
PMC1894573
Subset
IM
Grants
NIGMS NIH HHS · GM28016 · United States
NIGMS NIH HHS · R01 GM028016 · United States
NHGRI NIH HHS · P01 HG000205 · United States
NHGRI NIH HHS · HG000205 · United States
NHGRI NIH HHS · F32 HG000205 · United States
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