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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03170362
Other study ID # SDR 16-348
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date June 15, 2017
Est. completion date March 31, 2022

Study information

Verified date May 2024
Source VA Office of Research and Development
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The focus of this application is on the impact of providing depressed Veterans and their providers with the results of pharmacogenetic (PGx) testing for psychotropic medications. The project focuses on whether and how patients and providers use genetic test results given to them at the time an antidepressant is to be initiated to treat Major Depressive Disorder (MDD) and whether use of the test results improves patient outcomes. MDD is one of the most common conditions associated with military service and combat exposure, increases suicide risk, and worsens the course of common medical conditions, making it a leading cause of functional impairment and mortality. Validation of a PGx test to personalize the treatment of MDD represents an important opportunity to improve the healthcare of Veterans.


Description:

Background: In the last several years, commercial pharmacogenetic (PGx) testing for psychotropic medications has become widespread as a means of implementing "precision medicine", with some insurers electing to cover the cost of testing. These developments have put increasing pressure on the Veterans Health Administration to implement a mental health focused PGxs program, especially for treating depression, but without sufficient scientific study to support the utility of clinical application. Objectives: The investigators propose a program of research to evaluate the utility of PGx testing in treating Major Depressive Disorder. Methods: The investigators plan a multi-site RCT (n=2000), patient/provider dyads will be randomly assigned to receive results of the PGx battery right after randomization (i.e. intervention group) or after 6 months of treatment as usual (i.e. delayed results group)The study will test the following hypotheses: 1. Veterans with MDD whose care is guided by the results of the PGx battery (the intervention group) will have a higher rate of remission of depression than the delayed results group. (Primary Hypothesis) 2. Provider/patient dyads in the intervention group will use fewer medications that have potential gene-drug interactions based on commercial PGx test results than dyads in the delayed results group (Primary Hypothesis).


Recruitment information / eligibility

Status Completed
Enrollment 1944
Est. completion date March 31, 2022
Est. primary completion date October 30, 2021
Accepts healthy volunteers No
Gender All
Age group 18 Years to 80 Years
Eligibility Inclusion Criteria: - PHQ-9 score 10 and a presumptive diagnosis of MDD per PHQ-9 criteria - at least one prior treatment exposure for MDD (psychotherapy or antidepressant - intent to start treatment of the MDD with an antidepressant, simple dose increases will not be considered inclusionary - willingness to provide signed, informed consent to participate in the study Exclusion Criteria: - current serious co-occurring psychiatric illness, i.e.: - schizophrenia - bipolar disorder - psychotic major depression - borderline or antisocial personality disorder - eating disorder - active alcohol or other drug use disorder - current use of an antipsychotic medication - augmentation therapy, e.g.: - use of two or more antidepressants at the time of randomization (trazodone at a dosage < 150 mg/day will not be considered augmentation and thus allowed) - patients requiring urgent care or inpatient hospitalization at the time of consent - currently incarcerated

Study Design


Related Conditions & MeSH terms


Intervention

Other:
Pharmacogenetic Test
The intervention is a battery of pharmacogenetic test results that mostly affect the metabolism of antidepressants and other medications.

Locations

Country Name City State
United States New Mexico VA Health Care System, Albuquerque, NM Albuquerque New Mexico
United States VA Ann Arbor Healthcare System, Ann Arbor, MI Ann Arbor Michigan
United States Rocky Mountain Regional VA Medical Center, Aurora, CO Aurora Colorado
United States Baltimore VA Medical Center VA Maryland Health Care System, Baltimore, MD Baltimore Maryland
United States VA Boston Healthcare System Jamaica Plain Campus, Jamaica Plain, MA Boston Massachusetts
United States VA Western New York Healthcare System, Buffalo, NY Buffalo New York
United States Ralph H. Johnson VA Medical Center, Charleston, SC Charleston South Carolina
United States Cincinnati VA Medical Center, Cincinnati, OH Cincinnati Ohio
United States Louis Stokes VA Medical Center, Cleveland, OH Cleveland Ohio
United States Michael E. DeBakey VA Medical Center, Houston, TX Houston Texas
United States Miami VA Healthcare System, Miami, FL Miami Florida
United States Minneapolis VA Health Care System, Minneapolis, MN Minneapolis Minnesota
United States Central Arkansas Veterans Healthcare System Eugene J. Towbin Healthcare Center, Little Rock, AR North Little Rock Arkansas
United States VA Palo Alto Health Care System, Palo Alto, CA Palo Alto California
United States Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA Philadelphia Pennsylvania
United States VA Pittsburgh Healthcare System University Drive Division, Pittsburgh, PA Pittsburgh Pennsylvania
United States Hunter Holmes McGuire VA Medical Center, Richmond, VA Richmond Virginia
United States Salisbury W.G. (Bill) Hefner VA Medical Center, Salisbury, NC Salisbury North Carolina
United States VA Salt Lake City Health Care System, Salt Lake City, UT Salt Lake City Utah
United States San Francisco VA Medical Center, San Francisco, CA San Francisco California
United States VA Puget Sound Health Care System Seattle Division, Seattle, WA Seattle Washington
United States VA Connecticut Healthcare System West Haven Campus, West Haven, CT West Haven Connecticut
United States VA Greater Los Angeles Healthcare System, West Los Angeles, CA West Los Angeles California
United States Wilmington VA Medical Center, Wilmington, DE Wilmington Delaware

Sponsors (1)

Lead Sponsor Collaborator
VA Office of Research and Development

Country where clinical trial is conducted

United States, 

References & Publications (52)

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de Araujo CM, Hudziak J, Crocetti D, Wymbs NF, Montalvo-Ortiz JL, Orr C, Albaugh MD, Althoff RR, O'Loughlin K, Holbrook H, Garavan H, Yang BZ, Mostofsky S, Jackowski A, Lee RS, Gelernter J, Kaufman J. Tubulin Polymerization Promoting Protein (TPPP) gene methylation and corpus callosum measures in maltreated children. Psychiatry Res Neuroimaging. 2020 Apr 30;298:111058. doi: 10.1016/j.pscychresns.2020.111058. Epub 2020 Feb 22. — View Citation

de Zwarte SMC, Brouwer RM, Agartz I, Alda M, Aleman A, Alpert KI, Bearden CE, Bertolino A, Bois C, Bonvino A, Bramon E, Buimer EEL, Cahn W, Cannon DM, Cannon TD, Caseras X, Castro-Fornieles J, Chen Q, Chung Y, De la Serna E, Di Giorgio A, Doucet GE, Eker MC, Erk S, Fears SC, Foley SF, Frangou S, Frankland A, Fullerton JM, Glahn DC, Goghari VM, Goldman AL, Gonul AS, Gruber O, de Haan L, Hajek T, Hawkins EL, Heinz A, Hillegers MHJ, Hulshoff Pol HE, Hultman CM, Ingvar M, Johansson V, Jonsson EG, Kane F, Kempton MJ, Koenis MMG, Kopecek M, Krabbendam L, Kramer B, Lawrie SM, Lenroot RK, Marcelis M, Marsman JC, Mattay VS, McDonald C, Meyer-Lindenberg A, Michielse S, Mitchell PB, Moreno D, Murray RM, Mwangi B, Najt P, Neilson E, Newport J, van Os J, Overs B, Ozerdem A, Picchioni MM, Richter A, Roberts G, Aydogan AS, Schofield PR, Simsek F, Soares JC, Sugranyes G, Toulopoulou T, Tronchin G, Walter H, Wang L, Weinberger DR, Whalley HC, Yalin N, Andreassen OA, Ching CRK, van Erp TGM, Turner JA, Jahanshad N, Thompson PM, Kahn RS, van Haren NEM. The Association Between Familial Risk and Brain Abnormalities Is Disease Specific: An ENIGMA-Relatives Study of Schizophrenia and Bipolar Disorder. Biol Psychiatry. 2019 Oct 1;86(7):545-556. doi: 10.1016/j.biopsych.2019.03.985. Epub 2019 Jun 13. — View Citation

Gonzalez R, Suppes T, Zeitzer J, McClung C, Tamminga C, Tohen M, Forero A, Dwivedi A, Alvarado A. The association between mood state and chronobiological characteristics in bipolar I disorder: a naturalistic, variable cluster analysis-based study. Int J Bipolar Disord. 2018 Feb 19;6(1):5. doi: 10.1186/s40345-017-0113-5. — View Citation

Hartwell EE, Feinn R, Morris PE, Gelernter J, Krystal J, Arias AJ, Hoffman M, Petrakis I, Gueorguieva R, Schacht JP, Oslin D, Anton RF, Kranzler HR. Systematic review and meta-analysis of the moderating effect of rs1799971 in OPRM1, the mu-opioid receptor gene, on response to naltrexone treatment of alcohol use disorder. Addiction. 2020 Aug;115(8):1426-1437. doi: 10.1111/add.14975. Epub 2020 Feb 11. — View Citation

Hettema JM, Verhulst B, Chatzinakos C, Bacanu SA, Chen CY, Ursano RJ, Kessler RC, Gelernter J, Smoller JW, He F, Jain S, Stein MB. Genome-wide association study of shared liability to anxiety disorders in Army STARRS. Am J Med Genet B Neuropsychiatr Genet. 2020 Jun;183(4):197-207. doi: 10.1002/ajmg.b.32776. Epub 2019 Dec 30. — View Citation

Hidalgo-Mazzei D, Berk M, Cipriani A, Cleare AJ, Florio AD, Dietch D, Geddes JR, Goodwin GM, Grunze H, Hayes JF, Jones I, Kasper S, Macritchie K, McAllister-Williams RH, Morriss R, Nayrouz S, Pappa S, Soares JC, Smith DJ, Suppes T, Talbot P, Vieta E, Watson S, Yatham LN, Young AH, Stokes PRA. Treatment-resistant and multi-therapy-resistant criteria for bipolar depression: consensus definition. Br J Psychiatry. 2019 Jan;214(1):27-35. doi: 10.1192/bjp.2018.257. Epub 2018 Dec 6. Erratum In: Br J Psychiatry. 2019 May;214(5):309. — View Citation

Hull LE, Chanfreau-Coffinier C, Tuteja S, Berlowitz D, Lehmann LS, Oslin DW, Pyne JM, DuVall SL, Lynch JA. Early adoption of pharmacogenetic testing for veterans prescribed psychotropic medications. Pharmacogenomics. 2019 Jul;20(11):781-789. doi: 10.2217/ — View Citation

Hull LE, Lynch KG, Oslin DW. VA Primary Care and Mental Health Providers' Comfort with Genetic Testing: Survey Results from the PRIME Care Study. J Gen Intern Med. 2019 Jun;34(6):799-801. doi: 10.1007/s11606-018-4776-0. No abstract available. — View Citation

Hunter-Zinck H, Shi Y, Li M, Gorman BR, Ji SG, Sun N, Webster T, Liem A, Hsieh P, Devineni P, Karnam P, Gong X, Radhakrishnan L, Schmidt J, Assimes TL, Huang J, Pan C, Humphries D, Brophy M, Moser J, Muralidhar S, Huang GD, Przygodzki R, Concato J, Gaziano JM, Gelernter J, O'Donnell CJ, Hauser ER, Zhao H, O'Leary TJ; VA Million Veteran Program; Tsao PS, Pyarajan S. Genotyping Array Design and Data Quality Control in the Million Veteran Program. Am J Hum Genet. 2020 Apr 2;106(4):535-548. doi: 10.1016/j.ajhg.2020.03.004. — View Citation

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Leroux AJ, Waid-Ebbs JK, Wen PS, Helmer DA, Graham DP, O'Connor MK, Ray K. An Investigation of Exposure Control Methods With Variable-Length CAT Using the Partial Credit Model. Appl Psychol Meas. 2019 Nov;43(8):624-638. doi: 10.1177/0146621618824856. Epub 2019 Jan 23. — View Citation

Levey DF, Gelernter J, Polimanti R, Zhou H, Cheng Z, Aslan M, Quaden R, Concato J, Radhakrishnan K, Bryois J, Sullivan PF; Million Veteran Program; Stein MB. Reproducible Genetic Risk Loci for Anxiety: Results From approximately 200,000 Participants in the Million Veteran Program. Am J Psychiatry. 2020 Mar 1;177(3):223-232. doi: 10.1176/appi.ajp.2019.19030256. Epub 2020 Jan 7. — View Citation

Lippard ETC, Jensen KP, Wang F, Johnston JAY, Spencer L, Pittman B, Gelernter J, Blumberg HP. Genetic variation of ANK3 is associated with lower white matter structural integrity in bipolar disorder. Mol Psychiatry. 2017 Sep;22(9):1225. doi: 10.1038/mp.2017.169. No abstract available. — View Citation

Marees AT, Gamazon ER, Gerring Z, Vorspan F, Fingal J, van den Brink W, Smit DJA, Verweij KJH, Kranzler HR, Sherva R, Farrer L; International Cannabis Consortium; Gelernter J, Derks EM. Post-GWAS analysis of six substance use traits improves the identification and functional interpretation of genetic risk loci. Drug Alcohol Depend. 2020 Jan 1;206:107703. doi: 10.1016/j.drugalcdep.2019.107703. Epub 2019 Nov 4. — View Citation

McIntyre RS, Subramaniapillai M, Lee Y, Pan Z, Carmona NE, Shekotikhina M, Rosenblat JD, Brietzke E, Soczynska JK, Cosgrove VE, Miller S, Fischer EG, Kramer NE, Dunlap K, Suppes T, Mansur RB. Efficacy of Adjunctive Infliximab vs Placebo in the Treatment of Adults With Bipolar I/II Depression: A Randomized Clinical Trial. JAMA Psychiatry. 2019 Aug 1;76(8):783-790. doi: 10.1001/jamapsychiatry.2019.0779. — View Citation

Montalvo-Ortiz JL, Gelernter J, Cheng Z, Girgenti MJ, Xu K, Zhang X, Gopalan S, Zhou H, Duman RS, Southwick SM, Krystal JH; Traumatic Stress Brain Research Study Group; Pietrzak RH. Epigenome-wide association study of posttraumatic stress disorder identif — View Citation

Muniz Carvalho C, Wendt FR, Maihofer AX, Stein DJ, Stein MB, Sumner JA, Hemmings SMJ, Nievergelt CM, Koenen KC, Gelernter J, Belangero SI, Polimanti R. Dissecting the genetic association of C-reactive protein with PTSD, traumatic events, and social support. Neuropsychopharmacology. 2021 May;46(6):1071-1077. doi: 10.1038/s41386-020-0655-6. Epub 2020 Mar 16. — View Citation

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Na PJ, Montalvo-Ortiz JL, Nagamatsu ST, Southwick SM, Krystal JH, Gelernter J, Pietrzak RH. Association of Symptoms of Posttraumatic Stress Disorder and GrimAge, an Epigenetic Marker of Mortality Risk, in US Military Veterans. J Clin Psychiatry. 2022 Jul — View Citation

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Nievergelt CM, Maihofer AX, Klengel T, Atkinson EG, Chen CY, Choi KW, Coleman JRI, Dalvie S, Duncan LE, Gelernter J, Levey DF, Logue MW, Polimanti R, Provost AC, Ratanatharathorn A, Stein MB, Torres K, Aiello AE, Almli LM, Amstadter AB, Andersen SB, Andreassen OA, Arbisi PA, Ashley-Koch AE, Austin SB, Avdibegovic E, Babic D, Baekvad-Hansen M, Baker DG, Beckham JC, Bierut LJ, Bisson JI, Boks MP, Bolger EA, Borglum AD, Bradley B, Brashear M, Breen G, Bryant RA, Bustamante AC, Bybjerg-Grauholm J, Calabrese JR, Caldas-de-Almeida JM, Dale AM, Daly MJ, Daskalakis NP, Deckert J, Delahanty DL, Dennis MF, Disner SG, Domschke K, Dzubur-Kulenovic A, Erbes CR, Evans A, Farrer LA, Feeny NC, Flory JD, Forbes D, Franz CE, Galea S, Garrett ME, Gelaye B, Geuze E, Gillespie C, Uka AG, Gordon SD, Guffanti G, Hammamieh R, Harnal S, Hauser MA, Heath AC, Hemmings SMJ, Hougaard DM, Jakovljevic M, Jett M, Johnson EO, Jones I, Jovanovic T, Qin XJ, Junglen AG, Karstoft KI, Kaufman ML, Kessler RC, Khan A, Kimbrel NA, King AP, Koen N, Kranzler HR, Kremen WS, Lawford BR, Lebois LAM, Lewis CE, Linnstaedt SD, Lori A, Lugonja B, Luykx JJ, Lyons MJ, Maples-Keller J, Marmar C, Martin AR, Martin NG, Maurer D, Mavissakalian MR, McFarlane A, McGlinchey RE, McLaughlin KA, McLean SA, McLeay S, Mehta D, Milberg WP, Miller MW, Morey RA, Morris CP, Mors O, Mortensen PB, Neale BM, Nelson EC, Nordentoft M, Norman SB, O'Donnell M, Orcutt HK, Panizzon MS, Peters ES, Peterson AL, Peverill M, Pietrzak RH, Polusny MA, Rice JP, Ripke S, Risbrough VB, Roberts AL, Rothbaum AO, Rothbaum BO, Roy-Byrne P, Ruggiero K, Rung A, Rutten BPF, Saccone NL, Sanchez SE, Schijven D, Seedat S, Seligowski AV, Seng JS, Sheerin CM, Silove D, Smith AK, Smoller JW, Sponheim SR, Stein DJ, Stevens JS, Sumner JA, Teicher MH, Thompson WK, Trapido E, Uddin M, Ursano RJ, van den Heuvel LL, Van Hooff M, Vermetten E, Vinkers CH, Voisey J, Wang Y, Wang Z, Werge T, Williams MA, Williamson DE, Winternitz S, Wolf C, Wolf EJ, Wolff JD, Yehuda R, Young RM, Young KA, Zhao H, Zoellner LA, Liberzon I, Ressler KJ, Haas M, Koenen KC. International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci. Nat Commun. 2019 Oct 8;10(1):4558. doi: 10.1038/s41467-019-12576-w. — View Citation

Oslin DW, Chapman S, Duvall SL, Gelernter J, Ingram EP, Kranzler HR, Lehmann LS, Lynch JA, Lynch KG, Pyne JM, Shih MC, Stone A, Thase ME, Wray LO. Study design and implementation of the PRecision Medicine In MEntal health Care (PRIME Care) Trial. Contemp — View Citation

Oslin DW, Lynch KG, Shih MC, Ingram EP, Wray LO, Chapman SR, Kranzler HR, Gelernter J, Pyne JM, Stone A, DuVall SL, Lehmann LS, Thase ME; PRIME Care Research Group; Aslam M, Batki SL, Bjork JM, Blow FC, Brenner LA, Chen P, Desai S, Dieperink EW, Fears SC, — View Citation

Polimanti R, Walters RK, Johnson EC, McClintick JN, Adkins AE, Adkins DE, Bacanu SA, Bierut LJ, Bigdeli TB, Brown S, Bucholz KK, Copeland WE, Costello EJ, Degenhardt L, Farrer LA, Foroud TM, Fox L, Goate AM, Grucza R, Hack LM, Hancock DB, Hartz SM, Heath AC, Hewitt JK, Hopfer CJ, Johnson EO, Kendler KS, Kranzler HR, Krauter K, Lai D, Madden PAF, Martin NG, Maes HH, Nelson EC, Peterson RE, Porjesz B, Riley BP, Saccone N, Stallings M, Wall TL, Webb BT, Wetherill L; Psychiatric Genomics Consortium Substance Use Disorders Workgroup; Edenberg HJ, Agrawal A, Gelernter J. Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium. Mol Psychiatry. 2020 Aug;25(8):1673-1687. doi: 10.1038/s41380-020-0677-9. Epub 2020 Feb 26. — View Citation

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* Note: There are 52 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Depression Remission The investigators will use the Patient Health Questionnaire 9 (PHQ9) as a self assessed marker of depression remission. The scale ranges from 0 to 27 with lower scores indicating less depression severity. Remission was defined as a score of 5 or less at the endpoint. the reported number of participants are those reaching that threshold of symptoms. 24 weeks post randomization
Primary Use of Fewer Medications That Have Potential Gene-drug Interactions The investigators will examine the proportion of antidepressants prescribed in the first 30 days of the trial that have the potential for gene-drug interactions. The chance for a gene-drug interaction was classified as 1. the subject did not have a prescription for an antidepressant during the initial 4 weeks of the trial (No Antidepressant), 2 the subject was prescribed an antidepressant with no known gene-drug interaction (No Gene Interaction), 3 the subject was prescribed an antidepressant with moderate gene-drug interactions (Moderate Interaction). These are also gene-drug interactions that do not have level A concordance. And 4. the subject was prescribed an antidepressant with substantial gene-drug interactions or gene-drug interactions that are considered to have a high level of evidence to support other prescribing. Over the first 30 days
Secondary Depression Severity The investigators will use the Patient Health Questionnaire 9 (PHQ9) as a self-assessed marker of depression remission. The scale ranges from 0 to 27 with lower scores indicating less depression severity. This measure will use the PHQ9 as a continuous measure. The reported outcome is the difference in scores from baseline to 24 weeks. 24 Weeks
Secondary Depression Response The investigators will use the Patient Health Questionnaire 9 (PHQ9) as a self assessed marker of depression remission. The scale ranges from 0 to 27 with lower scores indicating less depression severity. Response was measured by a 50% reduction in scores from baseline to each time point. 24 weeks
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