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2014 ; 30
(12
): i212-8
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Probabilistic method for detecting copy number variation in a fetal genome using
maternal plasma sequencing
#MMPMID24931986
Rampá?ek L
; Arbabi A
; Brudno M
Bioinformatics
2014[Jun]; 30
(12
): i212-8
PMID24931986
show ga
MOTIVATION: The past several years have seen the development of methodologies to
identify genomic variation within a fetus through the non-invasive sequencing of
maternal blood plasma. These methods are based on the observation that maternal
plasma contains a fraction of DNA (typically 5-15%) originating from the fetus,
and such methodologies have already been used for the detection of
whole-chromosome events (aneuploidies), and to a more limited extent for smaller
(typically several megabases long) copy number variants (CNVs). RESULTS: Here we
present a probabilistic method for non-invasive analysis of de novo CNVs in fetal
genome based on maternal plasma sequencing. Our novel method combines three types
of information within a unified Hidden Markov Model: the imbalance of allelic
ratios at SNP positions, the use of parental genotypes to phase nearby SNPs and
depth of coverage to better differentiate between various types of CNVs and
improve precision. Our simulation results, based on in silico introduction of
novel CNVs into plasma samples with 13% fetal DNA concentration, demonstrate a
sensitivity of 90% for CNVs >400 kb (with 13 calls in an unaffected genome), and
40% for 50-400 kb CNVs (with 108 calls in an unaffected genome). AVAILABILITY AND
IMPLEMENTATION: Implementation of our model and data simulation method is
available at http://github.com/compbio-UofT/fCNV.