Distinct epigenomic patterns are associated with haploinsufficiency and predict risk genes of developmental disorders
Predicting haploinsufficient genes helps to understand the genetic risk underlying developmental disorders. Here, the authors develop a Random Forest-based method that uses epigenomic data to predict haploinsufficiency, Episcore, which is complementary to methods based on mutation intolerance scores...
Main Authors: | Xinwei Han, Siying Chen, Elise Flynn, Shuang Wu, Dana Wintner, Yufeng Shen |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2018-05-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-018-04552-7 |
Similar Items
-
BAP1 haploinsufficiency predicts a distinct immunogenic class of malignant peritoneal mesothelioma
by: Raunak Shrestha, et al.
Published: (2019-02-01) -
Developmental Epigenetics: Phenotype and the Flexible Epigenome
by: Rosalind M. John, et al.
Published: (2018-10-01) -
Dynamic changes in the epigenomic landscape regulate human organogenesis and link to developmental disorders
by: Dave T. Gerrard, et al.
Published: (2020-08-01) -
Characterising and predicting haploinsufficiency in the human genome.
by: Ni Huang, et al.
Published: (2010-10-01) -
Distinctive epigenomes characterize glioma stem cells and their response to differentiation cues
by: Dan Zhou, et al.
Published: (2018-03-01)