Literature DB >> 35449297

Integrating human brain proteomes with genome-wide association data implicates novel proteins in post-traumatic stress disorder.

Thomas S Wingo1,2, Ekaterina S Gerasimov1, Yue Liu1, Duc M Duong3, Selina M Vattathil1, Adriana Lori4, Jake Gockley5, Michael S Breen6,7,8, Adam X Maihofer9,10, Caroline M Nievergelt9,10, Karestan C Koenen11,12,13, Daniel F Levey14, Joel Gelernter14,15, Murray B Stein9,16, Kerry J Ressler17, David A Bennett18, Allan I Levey1, Nicholas T Seyfried3, Aliza P Wingo19,20.   

Abstract

Genome-wide association studies (GWAS) have identified several risk loci for post-traumatic stress disorder (PTSD); however, how they confer PTSD risk remains unclear. We aimed to identify genes that confer PTSD risk through their effects on brain protein abundance to provide new insights into PTSD pathogenesis. To that end, we integrated human brain proteomes with PTSD GWAS results to perform a proteome-wide association study (PWAS) of PTSD, followed by Mendelian randomization, using a discovery and confirmatory study design. Brain proteomes (N = 525) were profiled from the dorsolateral prefrontal cortex using mass spectrometry. The Million Veteran Program (MVP) PTSD GWAS (n = 186,689) was used for the discovery PWAS, and the Psychiatric Genomics Consortium PTSD GWAS (n = 174,659) was used for the confirmatory PWAS. To understand whether genes identified at the protein-level were also evident at the transcript-level, we performed a transcriptome-wide association study (TWAS) using human brain transcriptomes (N = 888) and the MVP PTSD GWAS results. We identified 11 genes that contribute to PTSD pathogenesis via their respective cis-regulated brain protein abundance. Seven of 11 genes (64%) replicated in the confirmatory PWAS and 4 of 11 also had their cis-regulated brain mRNA levels associated with PTSD. High confidence level was assigned to 9 of 11 genes after considering evidence from the confirmatory PWAS and TWAS. Most of the identified genes are expressed in other PTSD-relevant brain regions and several are preferentially expressed in excitatory neurons, astrocytes, and oligodendrocyte precursor cells. These genes are novel, promising targets for mechanistic and therapeutic studies to find new treatments for PTSD.
© 2022. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.

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Year:  2022        PMID: 35449297      PMCID: PMC9233006          DOI: 10.1038/s41380-022-01544-4

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   13.437


  65 in total

1.  Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets.

Authors:  Zhihong Zhu; Futao Zhang; Han Hu; Andrew Bakshi; Matthew R Robinson; Joseph E Powell; Grant W Montgomery; Michael E Goddard; Naomi R Wray; Peter M Visscher; Jian Yang
Journal:  Nat Genet       Date:  2016-03-28       Impact factor: 38.330

2.  Common heritable contributions to low-risk trauma, high-risk trauma, posttraumatic stress disorder, and major depression.

Authors:  Carolyn E Sartor; Julia D Grant; Michael T Lynskey; Vivia V McCutcheon; Mary Waldron; Dixie J Statham; Kathleen K Bucholz; Pamela A F Madden; Andrew C Heath; Nicholas G Martin; Elliot C Nelson
Journal:  Arch Gen Psychiatry       Date:  2012-03

3.  Integrating single-cell transcriptomic data across different conditions, technologies, and species.

Authors:  Andrew Butler; Paul Hoffman; Peter Smibert; Efthymia Papalexi; Rahul Satija
Journal:  Nat Biotechnol       Date:  2018-04-02       Impact factor: 54.908

Review 4.  Psychotherapy for Military-Related PTSD: A Review of Randomized Clinical Trials.

Authors:  Maria M Steenkamp; Brett T Litz; Charles W Hoge; Charles R Marmar
Journal:  JAMA       Date:  2015-08-04       Impact factor: 56.272

5.  Human whole genome genotype and transcriptome data for Alzheimer's and other neurodegenerative diseases.

Authors:  Mariet Allen; Minerva M Carrasquillo; Cory Funk; Benjamin D Heavner; Fanggeng Zou; Curtis S Younkin; Jeremy D Burgess; High-Seng Chai; Julia Crook; James A Eddy; Hongdong Li; Ben Logsdon; Mette A Peters; Kristen K Dang; Xue Wang; Daniel Serie; Chen Wang; Thuy Nguyen; Sarah Lincoln; Kimberly Malphrus; Gina Bisceglio; Ma Li; Todd E Golde; Lara M Mangravite; Yan Asmann; Nathan D Price; Ronald C Petersen; Neill R Graff-Radford; Dennis W Dickson; Steven G Younkin; Nilüfer Ertekin-Taner
Journal:  Sci Data       Date:  2016-10-11       Impact factor: 6.444

6.  Shared proteomic effects of cerebral atherosclerosis and Alzheimer's disease on the human brain.

Authors:  Aliza P Wingo; Wen Fan; Duc M Duong; Ekaterina S Gerasimov; Eric B Dammer; Yue Liu; Nadia V Harerimana; Bartholomew White; Madhav Thambisetty; Juan C Troncoso; Namhee Kim; Julie A Schneider; Ihab M Hajjar; James J Lah; David A Bennett; Nicholas T Seyfried; Allan I Levey; Thomas S Wingo
Journal:  Nat Neurosci       Date:  2020-05-18       Impact factor: 24.884

7.  An anatomically comprehensive atlas of the adult human brain transcriptome.

Authors:  Michael J Hawrylycz; Ed S Lein; Angela L Guillozet-Bongaarts; Elaine H Shen; Lydia Ng; Jeremy A Miller; Louie N van de Lagemaat; Kimberly A Smith; Amanda Ebbert; Zackery L Riley; Chris Abajian; Christian F Beckmann; Amy Bernard; Darren Bertagnolli; Andrew F Boe; Preston M Cartagena; M Mallar Chakravarty; Mike Chapin; Jimmy Chong; Rachel A Dalley; Barry David Daly; Chinh Dang; Suvro Datta; Nick Dee; Tim A Dolbeare; Vance Faber; David Feng; David R Fowler; Jeff Goldy; Benjamin W Gregor; Zeb Haradon; David R Haynor; John G Hohmann; Steve Horvath; Robert E Howard; Andreas Jeromin; Jayson M Jochim; Marty Kinnunen; Christopher Lau; Evan T Lazarz; Changkyu Lee; Tracy A Lemon; Ling Li; Yang Li; John A Morris; Caroline C Overly; Patrick D Parker; Sheana E Parry; Melissa Reding; Joshua J Royall; Jay Schulkin; Pedro Adolfo Sequeira; Clifford R Slaughterbeck; Simon C Smith; Andy J Sodt; Susan M Sunkin; Beryl E Swanson; Marquis P Vawter; Derric Williams; Paul Wohnoutka; H Ronald Zielke; Daniel H Geschwind; Patrick R Hof; Stephen M Smith; Christof Koch; Seth G N Grant; Allan R Jones
Journal:  Nature       Date:  2012-09-20       Impact factor: 49.962

8.  A Retrospective Comparative Effectiveness Study of Medications for Posttraumatic Stress Disorder in Routine Practice.

Authors:  Brian Shiner; Christine Leonard Westgate; Jiang Gui; Shira Maguen; Yinong Young-Xu; Paula P Schnurr; Bradley V Watts
Journal:  J Clin Psychiatry       Date:  2018-09-18       Impact factor: 5.906

9.  Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer's disease susceptibility.

Authors:  Towfique Raj; Yang I Li; Garrett Wong; Jack Humphrey; Minghui Wang; Satesh Ramdhani; Ying-Chih Wang; Bernard Ng; Ishaan Gupta; Vahram Haroutunian; Eric E Schadt; Tracy Young-Pearse; Sara Mostafavi; Bin Zhang; Pamela Sklar; David A Bennett; Philip L De Jager
Journal:  Nat Genet       Date:  2018-10-08       Impact factor: 38.330

10.  Are drug targets with genetic support twice as likely to be approved? Revised estimates of the impact of genetic support for drug mechanisms on the probability of drug approval.

Authors:  Emily A King; J Wade Davis; Jacob F Degner
Journal:  PLoS Genet       Date:  2019-12-12       Impact factor: 5.917

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