bioRxivGeneticsPreprint
Schizophrenia risk conferred by protein-coding de novo mutations
Daniel P. HowriganiD, Samuel A. RoseiD, Kaitlin E. SamochaiD, Menachem FromeriD, Felecia E. CerratoiD, Wei J. CheniD, Claire L. ChurchhouseiD, Kimberly Chambert, Sharon D. Chandler, Mark J. DalyiD, Ashley Dumont, Giulio GenoveseiD, Hai‐Gwo HwuiD, Nan M. LairdiD, Jack A. KosmickiiD, Jennifer L. MoraniD, Cheryl A. Roe, Tarjinder SinghiD, Shi‐Heng WangiD, Stephen V. FaraoneiD, Stephen J. GlattiD, Steven A. McCarrolliD, Ming T. TsuangiD, Benjamin M. NealeiD
Abstract
Protein-coding de novo mutations (DNMs) in the form of single nucleotide changes and short insertions/deletions are significant genetic risk factors for autism, intellectual disability, developmental delay, and epileptic encephalopathy. In contrast, the burden of DNMs has thus far only had a modest documented impact on schizophrenia (SCZ) risk. Here, we analyze whole-exome sequence from 1,695 SCZ affected parent-offspring trios from Taiwan along with DNMs from 1,077 published SCZ trios to better understand the contribution of coding DNMs to SCZ risk. Among 2,772 SCZ affected probands, the increased burden of DNMs is modest. Gene set analyses show that the modest increase in risk from DNMs in SCZ probands is concentrated in genes that are either highly brain expressed, under strong evolutionary constraint, and/or overlap with genes identified as DNM risk factors in other neurodevelopmental disorders. No single gene meets the criteria for genome-wide significance, but we identify 16 genes that are recurrently hit by a protein-truncating DNM, which is a 3.15-fold higher rate than mutation model expectation of 5.1 genes (permuted 95% CI=1-10 genes, permuted p=3e-5). Overall, DNMs explain only a small fraction of SCZ risk, and this risk is polygenic in nature suggesting that coding variation across many different genes will be a risk factor for SCZ in the population.
- organism: human
- assay: whole-exome sequencing
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 6
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