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A. Ercument Cicek

Researcher at Bilkent University

Publications -  77
Citations -  6999

A. Ercument Cicek is an academic researcher from Bilkent University. The author has contributed to research in topics: Gene & Computer science. The author has an hindex of 16, co-authored 68 publications receiving 4680 citations. Previous affiliations of A. Ercument Cicek include Case Western Reserve University & Carnegie Mellon University.

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Journal ArticleDOI

Synaptic, transcriptional and chromatin genes disrupted in autism

Silvia De Rubeis, +99 more
- 13 Nov 2014 - 
TL;DR: Using exome sequencing, it is shown that analysis of rare coding variation in 3,871 autism cases and 9,937 ancestry-matched or parental controls implicates 22 autosomal genes at a false discovery rate of < 0.05, plus a set of 107 genes strongly enriched for those likely to affect risk (FDR < 0.30).
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Insights into Autism Spectrum Disorder Genomic Architecture and Biology from 71 Risk Loci.

TL;DR: Analysis of de novo CNVs from the full Simons Simplex Collection replicates prior findings of strong association with autism spectrum disorders (ASDs) and confirms six risk loci, including 6 CNV regions.
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Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism

F. Kyle Satterstrom, +201 more
- 06 Feb 2020 - 
TL;DR: The largest exome sequencing study of autism spectrum disorder (ASD) to date, using an enhanced analytical framework to integrate de novo and case-control rare variation, identifies 102 risk genes at a false discovery rate of 0.1 or less, consistent with multiple paths to an excitatory-inhibitory imbalance underlying ASD.
Journal ArticleDOI

Gene expression elucidates functional impact of polygenic risk for schizophrenia

TL;DR: It is shown that schizophrenia is polygenic and the utility of this resource of gene expression and its genetic regulation for mechanistic interpretations of genetic liability for brain diseases is highlighted.
Journal ArticleDOI

Large-Scale Exome Sequencing Study Implicates Both Developmental and Functional Changes in the Neurobiology of Autism

F. Kyle Satterstrom, +153 more
TL;DR: Using an enhanced Bayesian framework to integrate de novo and case-control rare variation, 102 risk genes are identified at a false discovery rate of ≤ 0.1, consistent with multiple paths to an excitatory/inhibitory imbalance underlying ASD.