Exome-wide association study of treatment-resistant depression suggests novel treatment targets

Author:

Shah Shrey B.,Peddada Teja N.,Song Christopher,Mensah Maame,Sung Heejong,Yavi Mani,Yuan Peixiong,Zarate Carlos A.,Mickey Brian J.,Burmeister Margit,Akula Nirmala,McMahon Francis J.

Abstract

AbstractTreatment-resistant depression (TRD) is a severe form of major depressive disorder (MDD) with substantial public health impact and poor treatment outcome. Treatment outcome in MDD is significantly heritable, but genome-wide association studies have failed to identify replicable common marker alleles, suggesting a potential role for uncommon variants. Here we investigated the hypothesis that uncommon, putatively functional genetic variants are associated with TRD. Whole-exome sequencing data was obtained from 182 TRD cases and 2021 psychiatrically healthy controls. After quality control, the remaining 149 TRD cases and 1976 controls were analyzed with tests designed to detect excess burdens of uncommon variants. At the gene level, 5 genes, ZNF248, PRKRA, PYHIN1, SLC7A8, and STK19 each carried exome-wide significant excess burdens of variants in TRD cases (q < 0.05). Analysis of 41 pre-selected gene sets suggested an excess of uncommon, functional variants among genes involved in lithium response. Among the genes identified in previous TRD studies, ZDHHC3 was also significant in this sample after multiple test correction. ZNF248 and STK19 are involved in transcriptional regulation, PHYIN1 and PRKRA are involved in immune response, SLC7A8 is associated with thyroid hormone transporter activity, and ZDHHC3 regulates synaptic clustering of GABA and glutamate receptors. These results implicate uncommon, functional alleles in TRD and suggest promising novel targets for future research.

Funder

National Institute of Mental Health

National Center for Advancing Translational Sciences

The Taubman Medical Research Institute

The University of Michigan Depression Center

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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