RT Journal Article
SR Electronic
T1 Inference of maternal allele inheritance via Bayesian hierarchical model in noninvasive prenatal diagnosis
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 051995
DO 10.1101/051995
A1 Chunxuan Shao
YR 2017
UL http://biorxiv.org/content/early/2017/02/16/051995.abstract
AB Noninvasive prenatal diagnosis (NIPD) poses a promising solution for detecting genetic alterations in fetus genome. However, the inference of the maternal allele inheritance in monogenic autosomal recessive disease is still challenging. Here the Bayesian hierarchical model is proposed to deduce the allele inheritance basing on haplotype frequency. The Bayesian approach, which does not depend on the knowledge of fetus DNA proportion in maternal plasma, provides accurate estimations on both real and simulated data; moreover, it is most robust than current methods in analyzing noisy or even erroneous data.