AzTrials
AzTrials

Major DepressionPRIME CareNCT03170362

PRIME Care (PRecision Medicine In MEntal Health Care)

A study testing Pharmacogenetic Test in people with Major Depression, run by VA Office of Research and Development at 24 sites in United States.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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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. Read more about this study

Who is it for?
Ages 18 to 80 years
Conditions the study is for
Major Depression
What is being tested?
Pharmacogenetic Test
Could I receive a placebo?
No, everyone receives an active treatment
How many people
1,944 participants
Where
24 sitesUnited States
Study dates
15 Jun 2017to 31 Mar 2022
Phase
Interventional
Are there results?
Yes, posted in the registrySummary in the doctors' view

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 to 80 years
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Who may be able to join

  • 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

Who cannot join

  • current serious co-occurring psychiatric illness, i.e.:
  • schizophrenia
  • bipolar disorder
  • psychotic major depression
  • borderline or antisocial personality disorder
  • eating disorder
Show all 12Show fewer
  • 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

Trial locations and contacts

24 sites in 1 country.

24 sites in 1 country

United States24 sites

  • New Mexico VA Health Care System, Albuquerque, NM

    Albuquerque, New Mexico, 87108-5153

  • VA Ann Arbor Healthcare System, Ann Arbor, MI

    Ann Arbor, Michigan, 48105

  • Rocky Mountain Regional VA Medical Center, Aurora, CO

    Aurora, Colorado, 80045

  • Baltimore VA Medical Center VA Maryland Health Care System, Baltimore, MD

    Baltimore, Maryland, 21201

  • VA Boston Healthcare System Jamaica Plain Campus, Jamaica Plain, MA

    Boston, Massachusetts, 02130

  • VA Western New York Healthcare System, Buffalo, NY

    Buffalo, New York, 14215

  • Ralph H. Johnson VA Medical Center, Charleston, SC

    Charleston, South Carolina, 29401-5799

  • Cincinnati VA Medical Center, Cincinnati, OH

    Cincinnati, Ohio, 45220

  • Louis Stokes VA Medical Center, Cleveland, OH

    Cleveland, Ohio, 44106

  • Michael E. DeBakey VA Medical Center, Houston, TX

    Houston, Texas, 77030

  • Miami VA Healthcare System, Miami, FL

    Miami, Florida, 33125

  • Minneapolis VA Health Care System, Minneapolis, MN

    Minneapolis, Minnesota, 55417

  • Central Arkansas Veterans Healthcare System Eugene J. Towbin Healthcare Center, Little Rock, AR

    North Little Rock, Arkansas, 72114-1706

  • VA Palo Alto Health Care System, Palo Alto, CA

    Palo Alto, California, 94304-1290

  • Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA

    Philadelphia, Pennsylvania, 19104

  • VA Pittsburgh Healthcare System University Drive Division, Pittsburgh, PA

    Pittsburgh, Pennsylvania, 15240

  • Hunter Holmes McGuire VA Medical Center, Richmond, VA

    Richmond, Virginia, 23249

  • Salisbury W.G. (Bill) Hefner VA Medical Center, Salisbury, NC

    Salisbury, North Carolina, 28144

  • VA Salt Lake City Health Care System, Salt Lake City, UT

    Salt Lake City, Utah, 84148

  • San Francisco VA Medical Center, San Francisco, CA

    San Francisco, California, 94121

  • VA Puget Sound Health Care System Seattle Division, Seattle, WA

    Seattle, Washington, 98108

  • VA Connecticut Healthcare System West Haven Campus, West Haven, CT

    West Haven, Connecticut, 06516

  • VA Greater Los Angeles Healthcare System, West Los Angeles, CA

    West Los Angeles, California, 90073

  • Wilmington VA Medical Center, Wilmington, DE

    Wilmington, Delaware, 19805

Other trials in United States

About this study

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.

Read the detailed 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).
Being tested
Pharmacogenetic Test
Keywords
Treatment, Pharmacogenetics, Depression
Medical subject headings
Depressive Disorder, Major, Depression

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Pharmacogenetic TestOther

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

Study groups in NCT03170362
Study groupRoleWhat they receive
Intervention groupExperimentalPharmacogenetic test results will be provided to the provider within 72 hours of randomization in order to facilitate choice in selecting antidepressants.
Receives: Other: Pharmacogenetic Test
Delay results groupNo interventionThe comparator arm will not receive results at the time of randomization but will get results after the 24 week assessment (thus the results are delayed).

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. 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.

    Measured: 24 weeks post randomization

  2. 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.

    Measured: Over the first 30 days

Secondary outcomes (2)

  1. 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.

    Measured: 24 Weeks

  2. 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.

    Measured: 24 weeks

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted31 May 2017
  2. Study start15 Jun 2017
  3. Primary completion30 Oct 2021
  4. Study completion31 Mar 2022

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Treatment
Allocation
Randomised
Intervention model
Parallel groups
Model description
The study intervention is the provision of pharmacogenetic test results which can then be used to choice appropriate medication.
Masking
Single blind
Who is masked
Outcomes assessor
Enrolment
1,944 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT03170362
Sponsor's protocol ID
SDR 16-348
Acronym
PRIME Care
Status last verified
May 2024
First submitted
26 May 2017
Last updated
28 May 2024
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
Yes: Access to a final data set will be by request only. The investigators will set up a formal approval process which will include a request form. The investigators will require requests to include hypotheses and specify data variables requested. Requests will be reviewed by the Executive Committee for approval. If approved, the requestor will be given a user agreement specifying how the data may be used. Once the agreement is signed and returned, the investigators will provide the requester with an anonymized data set via secure transit method. The investigators will also publish a data dictionary and a primer of our research methods.

Publications

  • 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.

    PubMed 31443932

  • 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.

    PubMed 31551640

  • Sun Y, Chang S, Wang F, Sun H, Ni Z, Yue W, Zhou H, Gelernter J, Malison RT, Kalayasiri R, Wu P, Lu L, Shi J. Genome-wide association study of alcohol dependence in male Han Chinese and cross-ethnic polygenic risk score comparison. Transl Psychiatry. 2019 Oct 7;9(1):249. doi: 10.1038/s41398-019-0586-3.

    PubMed 31591379

  • 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.

    PubMed 31594949

  • Cheng Z, Phokaew C, Chou YL, Lai D, Meyers JL, Agrawal A, Farrer LA, Kranzler HR, Gelernter J. A regulatory variant of CHRM3 is associated with cannabis-induced hallucinations in European Americans. Transl Psychiatry. 2019 Nov 18;9(1):309. doi: 10.1038/s41398-019-0639-7.

    PubMed 31740666

  • Wendt FR, Muniz Carvalho C, Pathak GA, Gelernter J, Polimanti R. Deciphering the Biological Mechanisms Underlying the Genome-Wide Associations between Computerized Device Use and Psychiatric Disorders. J Clin Med. 2019 Nov 21;8(12):2040. doi: 10.3390/jcm8122040.

    PubMed 31766499

  • 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.

    PubMed 31785998

  • Vreeker A, Fears SC, Service SK, Pagani L, Takahashi JS, Araya C, Araya X, Bejarano J, Lopez MC, Montoya G, Montoya CP, Teshiba TM, Escobar J, Cantor RM, Lopez-Jaramillo C, Macaya G, Molina J, Reus VI, Sabatti C, Ophoff RA, Freimer NB, Bearden CE. Genetic analysis of activity, brain and behavioral associations in extended families with heavy genetic loading for bipolar disorder. Psychol Med. 2021 Feb;51(3):494-502. doi: 10.1017/S0033291719003416. Epub 2019 Dec 9.

    PubMed 31813409

  • 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.

    PubMed 31886626

  • 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.

    PubMed 31906708

  • Cox JW, Sherva RM, Lunetta KL, Johnson EC, Martin NG, Degenhardt L, Agrawal A, Nelson EC, Kranzler HR, Gelernter J, Farrer LA. Genome-Wide Association Study of Opioid Cessation. J Clin Med. 2020 Jan 9;9(1):180. doi: 10.3390/jcm9010180.

    PubMed 31936517

  • 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.

    PubMed 31961981

  • Munn-Chernoff MA, Johnson EC, Chou YL, Coleman JRI, Thornton LM, Walters RK, Yilmaz Z, Baker JH, Hubel C, Gordon S, Medland SE, Watson HJ, Gaspar HA, Bryois J, Hinney A, Leppa VM, Mattheisen M, Ripke S, Yao S, Giusti-Rodriguez P, Hanscombe KB, Adan RAH, Alfredsson L, Ando T, Andreassen OA, Berrettini WH, Boehm I, Boni C, Boraska Perica V, Buehren K, Burghardt R, Cassina M, Cichon S, Clementi M, Cone RD, Courtet P, Crow S, Crowley JJ, Danner UN, Davis OSP, de Zwaan M, Dedoussis G, Degortes D, DeSocio JE, Dick DM, Dikeos D, Dina C, Dmitrzak-Weglarz M, Docampo E, Duncan LE, Egberts K, Ehrlich S, Escaramis G, Esko T, Estivill X, Farmer A, Favaro A, Fernandez-Aranda F, Fichter MM, Fischer K, Focker M, Foretova L, Forstner AJ, Forzan M, Franklin CS, Gallinger S, Giegling I, Giuranna J, Gonidakis F, Gorwood P, Gratacos Mayora M, Guillaume S, Guo Y, Hakonarson H, Hatzikotoulas K, Hauser J, Hebebrand J, Helder SG, Herms S, Herpertz-Dahlmann B, Herzog W, Huckins LM, Hudson JI, Imgart H, Inoko H, Janout V, Jimenez-Murcia S, Julia A, Kalsi G, Kaminska D, Karhunen L, Karwautz A, Kas MJH, Kennedy JL, Keski-Rahkonen A, Kiezebrink K, Kim YR, Klump KL, Knudsen GPS, La Via MC, Le Hellard S, Levitan RD, Li D, Lilenfeld L, Lin BD, Lissowska J, Luykx J, Magistretti PJ, Maj M, Mannik K, Marsal S, Marshall CR, Mattingsdal M, McDevitt S, McGuffin P, Metspalu A, Meulenbelt I, Micali N, Mitchell K, Monteleone AM, Monteleone P, Nacmias B, Navratilova M, Ntalla I, O'Toole JK, Ophoff RA, Padyukov L, Palotie A, Pantel J, Papezova H, Pinto D, Rabionet R, Raevuori A, Ramoz N, Reichborn-Kjennerud T, Ricca V, Ripatti S, Ritschel F, Roberts M, Rotondo A, Rujescu D, Rybakowski F, Santonastaso P, Scherag A, Scherer SW, Schmidt U, Schork NJ, Schosser A, Seitz J, Slachtova L, Slagboom PE, Slof-Op't Landt MCT, Slopien A, Sorbi S, Swiatkowska B, Szatkiewicz JP, Tachmazidou I, Tenconi E, Tortorella A, Tozzi F, Treasure J, Tsitsika A, Tyszkiewicz-Nwafor M, Tziouvas K, van Elburg AA, van Furth EF, Wagner G, Walton E, Widen E, Zeggini E, Zerwas S, Zipfel S, Bergen AW, Boden JM, Brandt H, Crawford S, Halmi KA, Horwood LJ, Johnson C, Kaplan AS, Kaye WH, Mitchell J, Olsen CM, Pearson JF, Pedersen NL, Strober M, Werge T, Whiteman DC, Woodside DB, Grove J, Henders AK, Larsen JT, Parker R, Petersen LV, Jordan J, Kennedy MA, Birgegard A, Lichtenstein P, Norring C, Landen M, Mortensen PB, Polimanti R, McClintick JN, Adkins AE, Aliev F, Bacanu SA, Batzler A, Bertelsen S, Biernacka JM, Bigdeli TB, Chen LS, Clarke TK, Degenhardt F, Docherty AR, Edwards AC, Foo JC, Fox L, Frank J, Hack LM, Hartmann AM, Hartz SM, Heilmann-Heimbach S, Hodgkinson C, Hoffmann P, Hottenga JJ, Konte B, Lahti J, Lahti-Pulkkinen M, Lai D, Ligthart L, Loukola A, Maher BS, Mbarek H, McIntosh AM, McQueen MB, Meyers JL, Milaneschi Y, Palviainen T, Peterson RE, Ryu E, Saccone NL, Salvatore JE, Sanchez-Roige S, Schwandt M, Sherva R, Streit F, Strohmaier J, Thomas N, Wang JC, Webb BT, Wedow R, Wetherill L, Wills AG, Zhou H, Boardman JD, Chen D, Choi DS, Copeland WE, Culverhouse RC, Dahmen N, Degenhardt L, Domingue BW, Frye MA, Gaebel W, Hayward C, Ising M, Keyes M, Kiefer F, Koller G, Kramer J, Kuperman S, Lucae S, Lynskey MT, Maier W, Mann K, Mannisto S, Muller-Myhsok B, Murray AD, Nurnberger JI, Preuss U, Raikkonen K, Reynolds MD, Ridinger M, Scherbaum N, Schuckit MA, Soyka M, Treutlein J, Witt SH, Wodarz N, Zill P, Adkins DE, Boomsma DI, Bierut LJ, Brown SA, Bucholz KK, Costello EJ, de Wit H, Diazgranados N, Eriksson JG, Farrer LA, Foroud TM, Gillespie NA, Goate AM, Goldman D, Grucza RA, Hancock DB, Harris KM, Hesselbrock V, Hewitt JK, Hopfer CJ, Iacono WG, Johnson EO, Karpyak VM, Kendler KS, Kranzler HR, Krauter K, Lind PA, McGue M, MacKillop J, Madden PAF, Maes HH, Magnusson PKE, Nelson EC, Nothen MM, Palmer AA, Penninx BWJH, Porjesz B, Rice JP, Rietschel M, Riley BP, Rose RJ, Shen PH, Silberg J, Stallings MC, Tarter RE, Vanyukov MM, Vrieze S, Wall TL, Whitfield JB, Zhao H, Neale BM, Wade TD, Heath AC, Montgomery GW, Martin NG, Sullivan PF, Kaprio J, Breen G, Gelernter J, Edenberg HJ, Bulik CM, Agrawal A. Shared genetic risk between eating disorder- and substance-use-related phenotypes: Evidence from genome-wide association studies. Addict Biol. 2021 Jan;26(1):e12880. doi: 10.1111/adb.12880. Epub 2020 Feb 16.

    PubMed 32064741

  • Dalvie S, Maihofer AX, Coleman JRI, Bradley B, Breen G, Brick LA, Chen CY, Choi KW, Duncan LE, Guffanti G, Haas M, Harnal S, Liberzon I, Nugent NR, Provost AC, Ressler KJ, Torres K, Amstadter AB, Bryn Austin S, Baker DG, Bolger EA, Bryant RA, Calabrese JR, Delahanty DL, Farrer LA, Feeny NC, Flory JD, Forbes D, Galea S, Gautam A, Gelernter J, Hammamieh R, Jett M, Junglen AG, Kaufman ML, Kessler RC, Khan A, Kranzler HR, Lebois LAM, Marmar C, Mavissakalian MR, McFarlane A, Donnell MO, Orcutt HK, Pietrzak RH, Risbrough VB, Roberts AL, Rothbaum AO, Roy-Byrne P, Ruggiero K, Seligowski AV, Sheerin CM, Silove D, Smoller JW, Stein MB, Teicher MH, Ursano RJ, Van Hooff M, Winternitz S, Wolff JD, Yehuda R, Zhao H, Zoellner LA, Stein DJ, Koenen KC, Nievergelt CM. Genomic influences on self-reported childhood maltreatment. Transl Psychiatry. 2020 Jan 27;10(1):38. doi: 10.1038/s41398-020-0706-0.

    PubMed 32066696

  • 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.

    PubMed 32099098

Questions about this trial

What is this clinical trial studying?

A study testing Pharmacogenetic Test in people with Major Depression, run by VA Office of Research and Development at 24 sites in United States.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 4 inclusion and 12 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 28 May 2024. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 24 sites in United States. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Yes. Results are posted in the registry (first posted 28 May 2024). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Depression Remission (time frame: 24 weeks post randomization). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT03170362, which also lists 55 linked publications.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 28 May 2024.

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