A Cell Type-Specific Expression Signature Predicts Haploinsufficient Autism-Susceptibility Genes

被引:17
|
作者
Zhang, Chaolin [1 ,2 ,3 ]
Shen, Yufeng [1 ,4 ,5 ]
机构
[1] Columbia Univ, Dept Syst Biol, New York, NY 10032 USA
[2] Columbia Univ, Dept Biochem & Mol Biophys, New York, NY USA
[3] Columbia Univ, Ctr Motor Neuron Biol & Dis, New York, NY USA
[4] Columbia Univ, Dept Biomed Informat, New York, NY USA
[5] Columbia Univ, JP Sulzberger Genome Ctr, New York, NY USA
关键词
autism spectrum disorders; autism-susceptibility genes; de novo mutations; cell type-specific expression signature; D-score; DE-NOVO MUTATIONS; TRANSLATIONAL PROFILING APPROACH; SPLICING-REGULATORY NETWORK; COPY-NUMBER VARIATION; BRAIN-DEVELOPMENT; SYNAPTIC FUNCTION; CODING MUTATIONS; RARE; IMPLICATE; MICE;
D O I
10.1002/humu.23147
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Recent studies have identified many genes with rare de novo mutations in autism, but a limited number of these have been conclusively established as disease-susceptibility genes due to the lack of recurrence and confounding background mutations. Such extreme genetic heterogeneity severely limits recurrence-based statistical power even in studies with a large sample size. Here, we use cell-type specific expression profiles to differentiate mutations in autism patients from those in unaffected siblings. We report a gene expression signature in different neuronal cell types shared by genes with likely gene-disrupting (LGD) mutations in autism cases. This signature reflects haploinsufficiency of risk genes enriched in transcriptional and post-transcriptional regulators, with the strongest positive associations with specific types of neurons in different brain regions, including cortical neurons, cerebellar granule cells, and striatal medium spiny neurons. When used to prioritize genes with a single LGD mutation in cases, a D-score derived from the signature achieved a precision of 40% as compared with the 15% baseline with a minimal loss in sensitivity. An ensemble model combining D-score with mutation intolerance metrics from Exome Aggregation Consortium further improved the precision to 60%, resulting in 117 high-priority candidates. These prioritized lists can facilitate identification of additional autism-susceptibility genes.
引用
收藏
页码:204 / 215
页数:12
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