» Articles » PMID: 31854516

Targeted Sequencing of the LRRTM Gene Family in Suicide Attempters with Bipolar Disorder

Overview
Date 2019 Dec 20
PMID 31854516
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Glutamatergic signaling is the primary excitatory neurotransmission pathway in the brain, and its relationship to neuropsychiatric disorders is of considerable interest. Our previous attempted suicide genome-wide association study, and numerous studies investigating gene expression, genetic variation, and DNA methylation have implicated aberrant glutamatergic signaling in suicide risk. The glutamatergic pathway gene LRRTM4 was an associated gene identified in our attempted suicide genome-wide association study, with association support seen primarily in females. Recent evidence has also shown that glutamatergic signaling is partly regulated by sex-related hormones. The LRRTM gene family encodes neuronal leucine-rich transmembrane proteins that localize to and promote glutamatergic synapse development. In this study, we sequenced the coding and regulatory regions of all four LRRTM gene members plus a large intronic region of LRRTM4 in 476 bipolar disorder suicide attempters and 473 bipolar disorder nonattempters. We identified two male-specific variants, one female- and five male-specific haplotypes significantly associated with attempted suicide in LRRTM4. Furthermore, variants within significant haplotypes may be brain expression quantitative trait loci for LRRTM4 and some of these variants overlap with predicted hormone response elements. Overall, these results provide supporting evidence for a sex-specific association of genetic variation in LRRTM4 with attempted suicide.

Citing Articles

Sex-specific associations between dietary legume subtypes and type 2 diabetes in a prospective cohort study.

Woo H, Hong S, Shin M, Koh S, Kim H, Kim Y Epidemiol Health. 2024; 46:e2024083.

PMID: 39438007 PMC: 11832243. DOI: 10.4178/epih.e2024083.


Biological Factors Underpinning Suicidal Behaviour: An Update.

Abou Chahla M, Khalil M, Comai S, Brundin L, Erhardt S, Guillemin G Brain Sci. 2023; 13(3).

PMID: 36979315 PMC: 10046421. DOI: 10.3390/brainsci13030505.


Vitamin D and the Risks of Depression and Anxiety: An Observational Analysis and Genome-Wide Environment Interaction Study.

Zhang Z, Yang X, Jia Y, Wen Y, Cheng S, Meng P Nutrients. 2021; 13(10).

PMID: 34684344 PMC: 8538638. DOI: 10.3390/nu13103343.


Neurexin 1 variants as risk factors for suicide death.

William N, Reissner C, Sargent R, Darlington T, DiBlasi E, Li Q Mol Psychiatry. 2021; 26(12):7436-7445.

PMID: 34168285 PMC: 8709873. DOI: 10.1038/s41380-021-01190-2.


Gene Module Analysis Reveals Cell-Type Specificity and Potential Target Genes in Autism's Pathogenesis.

Ji G, Li S, Ye L, Guan J Biomedicines. 2021; 9(4).

PMID: 33920310 PMC: 8069308. DOI: 10.3390/biomedicines9040410.

References
1.
Gaynor S, Breen M, Monson E, de Klerk K, Parsons M, DeLuca A . A targeted sequencing study of glutamatergic candidate genes in suicide attempters with bipolar disorder. Am J Med Genet B Neuropsychiatr Genet. 2016; 171(8):1080-1087. PMC: 5814248. DOI: 10.1002/ajmg.b.32479. View

2.
De Jesus-Burgos M, Gonzalez-Garcia S, Cruz-Santa Y, Perez-Acevedo N . Amygdalar activation of group I metabotropic glutamate receptors produces anti- and pro-conflict effects depending upon animal sex in a sexually dimorphic conditioned conflict-based anxiety model. Behav Brain Res. 2016; 302:200-12. PMC: 4839301. DOI: 10.1016/j.bbr.2016.01.009. View

3.
Ying D, Li M, Sham P, Li M . A powerful approach reveals numerous expression quantitative trait haplotypes in multiple tissues. Bioinformatics. 2018; 34(18):3145-3150. DOI: 10.1093/bioinformatics/bty318. View

4.
Ohgi Y, Futamura T, Hashimoto K . Glutamate Signaling in Synaptogenesis and NMDA Receptors as Potential Therapeutic Targets for Psychiatric Disorders. Curr Mol Med. 2015; 15(3):206-21. DOI: 10.2174/1566524015666150330143008. View

5.
Li B, Leal S . Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data. Am J Hum Genet. 2008; 83(3):311-21. PMC: 2842185. DOI: 10.1016/j.ajhg.2008.06.024. View