bioRxivGeneticsPreprint
Meta-analysis of Scandinavian Schizophrenia Exomes
Francesco LescaiiD, Jakob GroveiD, F. Kyle SatterstromiD, Elliott ReesiD, Jonas Bybjerg‐GrauholmiD, Thomas D. AlsiD, Jaroslaw Kalinowski, Anders E. Halager, Tarjinder SinghiD, Qibin LiiD, Jun WangiD, James WaltersiD, Michael John OweniD, Michael C. O’DonovaniD, Merete NordentoftiD, Preben Bo MortenseniD, DAVID MICHAEL HOUGAARDiD, Thomas Mears WergeiD, Ole N MorsiD, Benjamin M. NealeiD, Mark J. DalyiD, Anders Dupont BørglumiD
- Citations
- 4
Abstract
Rare genetic variants may play a prominent role in schizophrenia. We report on the to date largest whole exome sequencing study of schizophrenia case-control samples from related populations and combine with other available sequence data, analysing in total 34,084 individuals (14,302 cases). Three genes showed significant association at FDR < 0.10 (SETD1A, TAF13 and MKI67) and gene-set analyses highlighted the involvement of the synaptome and excitatory neurons, and demonstrated shared architecture with high-functioning autism.
- organism: human
- assay: whole-exome sequencing
- research focus: variant calling
- research focus: gene regulatory network inference
- research focus: GWAS / association mapping
- approach: statistical model
- approach: matrix factorization
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