Medical policy: Genetic Testing for Diagnosis and Management of Mental Health Conditions
Policy number: MP 2.264
Clinical benefit
- Minimize safety risk or concern.
- Minimize harmful or ineffective interventions.
- Assure appropriate level of care.
- Assure appropriate duration of service for interventions.
- Assure that recommended medical prerequisites have been met.
- Assure appropriate site of treatment or service.
Effective date: 4/1/2026
Policy
Genetic testing for diagnosis and management of mental health disorders is considered investigational in all situations, including but not limited to the following:
- To confirm a diagnosis of a mental health disorder in an individual with symptoms.
- To predict future risk of a mental health disorder in an asymptomatic individual.
- To inform the selection or dose of medications used to treat mental health disorders, including but not limited to the following medications:
- Selective serotonin reuptake inhibitors;
- Selective norepinephrine reuptake inhibitors and serotonin-norepinephrine reuptake inhibitors;
- Tricyclic antidepressants;
- Antipsychotic drugs.
Genetic testing panels for mental health disorders, including but not limited to the Genecept Assay, STA2R test, the GeneSight Psychotropic panel, the Proove Opioid Risk assay, and the Mental Health DNA Insight panel, are considered investigational for all indications. There is insufficient evidence to support a general conclusion concerning the health outcomes or benefits associated with this procedure.
Cross-references
- MP 2.234 Cytochrome P450 Genotype Guided Treatment Strategy
- MP 2.253 Genetic Testing for Inherited Thrombophilia
- MP 2.233 General Approach to Evaluating the Utility of Genetic Panels
Product variations
This policy is only applicable to certain programs and products administered by Capital Blue Cross and subject to benefit variations. Please see additional information below.
FEP PPO - Refer to FEP Medical Policy Manual.
Description/background
Individual genes have been shown to be associated with the risk of psychiatric disorders or specific aspects of psychiatric drug treatment such as drug metabolism, treatment response, and risk of adverse events. Commercially available testing panels include several of these genes and are intended to aid in the diagnosis and management of mental health disorders.
This evidence review assesses whether genetic testing for the diagnosis and management of mental health conditions is clinically useful. To make a clinical management decision that improves the net health outcome; the balance of benefits and harms must be better when the test is used to manage the condition than when another test or no test is used. The net health outcome can be improved if individuals receive correct therapy, or more effective therapy, or avoid unnecessary therapy, or avoid unnecessary testing.
The primary goal of pharmacogenomic testing and personalized medicine is to achieve better clinical outcomes compared to managing the condition with the standard of care. Drug response varies greatly between individuals, and genetic factors are known to play a role. However, in most cases, the genetic variation only explains a modest portion of the variance in the individual response because clinical outcomes are also affected by a wide variety of factors including alternate pathways of metabolism and patient- and disease-related factors that may affect absorption, distribution, and elimination of the drug.
Therefore, assessment of clinical utility of a pharmacogenetic test cannot be made by a chain of evidence from clinical validity data alone. In such cases, evidence evaluating requires that directly demonstrate that the use of the test changes clinical outcomes; it is not sufficient to demonstrate that the test predicts a disorder or a phenotype. Direct evidence of clinical utility is provided by studies that compare health outcomes for patients managed with or without the test. Because these are intervention studies, the preferred evidence is from randomized controlled trials.
Regulatory status
Clinical laboratories may develop and validate tests in-house and market them as a laboratory service; laboratory-developed tests must meet the general regulatory standards of the Clinical Laboratory Improvement Amendments (CLIA). Laboratories that offer laboratory-developed tests must be licensed under the auspices of the Clinical Laboratory Improvement Amendments for high-complexity testing. To date, the U.S. Food and Drug Administration has chosen not to require any regulatory review of these tests.
Examples of commercially available panels include the following:
- Genecept™ Assay (Genomind);
- STA2R test (SureGene Test for Antipsychotic and Antidepressant Response; Clinical Reference Laboratory). Specific variants included in the panel were not easily identified from the manufacturer’s website;
- GeneSight® Psychotropic panel (Assurex Health);
- Mental Health DNA Insight™ panel (Pathway Genomics);
- IDgenetix‑branded tests (AltheaDx).
Also, many labs offer genetic testing for individual genes, including MTHFR (GeneSight Rx and other laboratories), cytochrome P450 variants, and SULT4A1.
AltheaDx offers a number of IDgenetix‑branded tests, which include several panels focusing on variants that affect medication pharmacokinetics for a variety of disorders, including psychiatric disorders.
Rationale
Summary of evidence
For individuals who are evaluated for diagnosis or risk of a mental illness who receive genetic testing for risk of that disorder, the evidence includes various observational studies (cohort, case‑control, genome‑wide association study). Relevant outcomes are changes in disease status, morbid events, functional outcomes, health status measures, quality of life, and treatment‑related morbidity.
Most studies evaluated the association between genotype and mental health disorders or gene‑drug interactions among individuals at risk for mental health conditions. No studies were identified that evaluated whether testing for variants changed clinical management or affected health outcomes. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.
For adult individuals with major depressive disorder (MDD) who receive GeneSight testing guided drug treatment, the evidence includes 4 randomized controlled trials (RCTs). Relevant outcomes are symptoms, change in disease status, morbid events, functional outcomes, health status measures, quality of life, and treatment‑related morbidity.
The largest trial, GUIDED, compared GeneSight‑guided treatment to standard of care (SOC). The primary difference in mental health care (PRIME Care) trial did not find a statistically significant difference between GeneSight guided treatment and SOC in the primary outcome of remission at 24 weeks follow‑up, but significant differences in secondary outcomes were observed favoring the GeneSight group. However, the trial had a high loss to follow‑up (21%) and inadequate participant recruitment based on a priori sample size estimation and power analysis.
The GENE-SIGHT arm compared to SOC at 8 weeks among individuals with MDD. However, one‑third of the GUIDED randomized participants were missing from the reported results; the extent of missing data following randomization precludes conclusions on outcomes at 8 weeks. The GAPP‑MDD trial also compared GeneSight guided treatment with SOC, found no statistically significant differences between groups in response or remission on symptom improvement at 8 weeks.
All of these trials have major limitations in design and conduct and in consistency and precision. Thus, none provided adequate evidence. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.
For adult individuals with MDD who receive NeuroIDgenetix testing guided drug treatment, the evidence includes 2 RCTs. Relevant outcomes are symptoms, changes in disease status, morbid events, functional outcomes, health status measures, quality of life, and treatment‑related morbidity.
The studies reported statistically significant improvement in response but no statistically significant improvement in remission. One trial reported an early dropout of 25% in the guided arm and 38% in the standard care arm and used the last observation carried forward (LOCF) approach in the ITT analysis of effectiveness. Loss of outcomes data are missing completely at random, which is unlikely to hold in this analysis. Also, the single‑blinded RCT by Perez et al. (2017) reported no statistically significant improvement in response or remission at 12 weeks. None of these trials provided adequate evidence.
For individuals with a mental illness other than depression who are undergoing drug treatment and who receive genetic testing for genes associated with medication pharmacokinetics and pharmacodynamics, the evidence includes a systematic review and meta‑analysis and RCTs evaluating associations between specific genes and outcomes of drug treatment.
The systematic review and meta‑analysis by Hartwell et al. (2020) included 7 RCTs and reported no significant moderating effect of rs1799971, a single nucleotide polymorphism (SNP) that encodes a non‑synonymous substitution (Asn40Asp) in the mu‑opioid receptor gene, OPRM1, on response to naltrexone treatment of alcohol use disorder.
A single‑center RCT (2018) conducted a double‑blind RCT among individuals with anxiety disorders and reported statistically significant improvement in response in the NeuroIDgenetix arm compared with SOC at 12 weeks among a moderate and severe anxiety group of patients. There was evidence of reporting bias, and it was unclear if the analysis was based on the ITT population. Furthermore, among the randomized moderate and severe anxiety patients with only anxiety, 25% in the experimental arm and 17% in the SOC arm were lost to follow‑up over the 12‑week period. The evidence is insufficient to determine that the technology results in an improvement in the net health outcome.
Definitions
N/A
Disclaimer
Capital Blue Cross’ medical policies are used to determine coverage for specific medical technologies, procedures, equipment, and services. These medical policies do not constitute medical advice and are subject to change as permitted by law or applicable clinical evidence from independent treatment guidelines. Treating providers are solely responsible for medical advice and treatment of members. These policies are not a guarantee of coverage or payment. Payment of claims is subject to a determination regarding the member’s benefit program and eligibility on the date of service, and a determination that the services are medically necessary and appropriate. Final processing of a claim is based upon the terms of contract that applies to the member’s benefit program, including benefit limitations and exclusions. If a provider or a member has a question concerning this medical policy, please contact Capital Blue Cross’ Provider Services or Member Services.
Coding information
Note: This list of codes may not be all-inclusive, and codes are subject to change at any time. The identification of a code in this section does not denote coverage as coverage is determined by the terms of member benefit information. In addition, not all covered services are eligible for separate reimbursement.
Genetic testing for mutations associated with mental health disorders are investigational; therefore, not covered
Procedure codes |
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0173U |
0175U |
0291U |
0292U |
0293U |
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0345U |
0347U |
0348U |
0349U |
0392U |
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0411U |
0419U |
0423U |
0434U |
0437U |
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0438U |
0460U |
0461U |
0622U |
0627U |
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81225 |
81226 |
81230 |
81231 |
81401 |
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81418 |
81479 |
81599 |
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References
- Koyama E, Zai CC, Bryushkova L, et al. Predicting risk of suicidal ideation in youth using a multigene panel for impulsive aggression. Psychiatry Res. Mar 2020; 285: 112726. PMID 31870620
- Ghafouri-Fard S, Taheri M, Omrani MD, et al. Application of Single-Nucleotide Polymorphisms in the Diagnosis of Autism Spectrum Disorders: A Preliminary Study of Artificial Neural Networks. J Mol Neurosci. Aug 2019; 68(4): 515-521. PMID 30937628
- Ran A, Mi W, Wang W, et al. Rare variants in SLC6A4 cause susceptibility to major depressive disorder with suicidal ideation in Han Chinese adolescents and young adults. Gene. Feb 05 2020; 726: 144147. PMID 31629822
- Wan L, Zhang G, Liu M, et al. Sex-specific effects of methylenetetrahydrofolate reductase polymorphisms on schizophrenia with methylation changes. Compr Psychiatry. Oct 2019; 94: 152121. PMID 31476590
- Zhu D, Yin J, Liang C, et al. CACNA1C (rs1006737) may be a susceptibility gene for schizophrenia: An updated meta-analysis. Brain Behav. Jun 2019; 9(6): e01292. PMID 31033230
- Schröder K, Brunn M, Brunhuber-Karna N, et al. Longitudinal multi-level biomarker analysis of BDNF in major depression and bipolar disorder. Arch Psychiatry Clin Neurosci. Mar 2020; 270(2): 169-181. PMID 30929061
- Chen X, Wang M, Zhang Q, et al. Stress response genes associated with attention deficit hyperactivity disorder: A case-control study in Chinese children. Behav Brain Res. May 02 2019; 363: 126-134. PMID 30709707
- Zhang L, Hu XZ, Benedek DM, et al. Genetic predictor of current suicidal ideation in US service members deployed to Iraq and Afghanistan. J Psychiatr Res. Jun 2019; 113: 65-71. PMID 30904785
- Bonin L. Pediatric unipolar depression: Epidemiology, clinical features, assessment, and diagnosis.
- Gaynes BN, Warden D, Trivedi MH, et al. What did STAR*D teach us? Results from a large-scale, practical, clinical trial for patients with depression. Psychiatr Serv. Nov 2009; 60(11): 1439-45. PMID 19880458
- Browin VK. DNA test for antidepressants raises questions from FDA. Bloomberg. August 14 2019
- Rohan KJ, Rough JN, Evans M, et al. A protocol for the Hamilton Rating Scale Depression: item scoring rules. Rating, and outcome accuracy with rating scale application in a clinical trial. J Affect Disord. Aug 2016; 200: 111-118. PMID 27130960
- CADTH Common Drug Review. Aripiprazole (Abilify): Depression, Major Depressive Disorder (MDD). Ottawa (ON): Canadian Agency for Drugs and Technologies in Health; Copyright (c) CADTH 2016.
- Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. Sep 2001; 16(9): 606-613. PMID 11556941
- Costantini L, Pasquarella C, Odone A, et al. Screening for depression in primary care with Patient Health Questionnaire-9 (PHQ-9): a systematic review. J Affect Disord. Jan 15 2021; 279: 473-483. PMID 33126078
- Spielmans GI, McFall JP. A comparative meta-analysis of Clinical Global Impressions change in antidepressant trials. J Nerv Ment Dis. Nov 2006; 194(11): 845-852. PMID 17170279
- Sheehan DV, Harnett-Sheehan K, Raj BA. The measurement of disability. Int Clin Psychopharmacol. Jan 1996; 11 Suppl 3: 89-95. PMID 8923116
- Leon AC, Olsson M, Pignone M, et al. Assessing psychiatric impairment in primary care with the Sheehan Disability Scale. Int J Psychiatry Med. 1997; 27(2): 93-105. PMID 9565717
- Brown L, Ivanikova O, Li J, et al. The clinical utility of combinatorial pharmacogenomic testing for patients with depression: a meta-analysis. Pharmacogenomics. Jun 2020; 21(8): 559-569. PMID 32301649
- Oslin DW, Lynch KG, Shin MC, et al. Effect of Pharmacogenomic Testing for Drug-Gene Interactions on Medication Selection and Remission of Symptoms in Major Depressive Disorder: The PRIME Care Randomized Clinical Trial. JAMA. Jul 12 2022; 328(2): 151-161. PMID 35819423
- Greden JF, Parikh SV, Rothschild AJ, et al. Impact of pharmacogenomics on clinical outcomes in major depressive disorder in the GUIDED trial: A large, patient- and rater-blinded, randomized, controlled study. J Psychiatr Res. Apr 2019; 111: 59-67. PMID 30677646
- Winner JG, Carhart JM, Altar CA, et al. A prospective, randomized, double-blind study assessing the clinical impact of integrated pharmacogenomic testing for major depressive disorder. Discov Med. Nov 2013; 16(89): 219-227. PMID 24229738
- Noordam R, Avery CL, Visser LE, et al. Identifying genetic loci affecting antidepressant drug response in depression using drug-gene interaction models. Pharmacogenomics. Jun 2016; 17(9): 1029-40. PMID 27248517
- International Conference on Harmonization. Statistical principles for clinical trials: E9. 1998
- Newell DJ. Intention-to-treat analysis: implications for quantitative and qualitative research. Int J Epidemiol. 1992; 21(5): 837-41. PMID 1688484
- Bradley P, Shiekh M, Mehra V, et al. Improved efficacy with targeted pharmacogenetic-guided treatment of patients with depression and anxiety: A randomized clinical trial demonstrating clinical utility. J Psychiatr Res. Jan 2018; 96: 100-107. PMID 28992526
- Oslin MC, Maciej A, Garey JJ, et al. Clinical Impact of Pharmacogenetic-Guided Treatment for Patients Exhibiting Neuropsychiatric Disorders: A Randomized Controlled Trial. Prim Care Companion CNS Disord. Mar 16 2017; 19(2). PMID 28314093
- Vilches S, Tuson M, Vieta E, et al. Effectiveness of a Pharmacogenetic Tool at Improving Treatment Efficacy in Major Depressive Disorder: A Meta-Analysis of Three Clinical Studies. Pharmacopsychiatry. Sep 02 2019; 52(6): 314-320. PMID 31480800
- Han C, Wang SM, Bahk WM, et al. A Pharmacogenomics-based Antidepressant Treatment for Patients with Major Depressive Disorder: Results from an 8-week, Randomized, Single-blinded Clinical Trial. Clin Psychopharmacol Neurosci. Nov 30 2018; 16(4): 469-480. PMID 30466219
- Pérez V, Salavert A, Espadaler J, et al. Efficacy of prospective pharmacogenetic testing in the treatment of major depressive disorder: results of a randomized, double-blind clinical trial. BMC Psychiatry. Jul 14 2017; 17(1): 250. PMID 28705299
- Espadaler J, Tuson M, Lopez-Ibor JJ, et al. Pharmacogenetic testing for the guidance of psychiatric treatment: a multicenter retrospective analysis. CNS Spectr. Aug 2017; 22(4): 315-324. PMID 27098095
- Lachin JM. Fallacies of last observation carried forward analyses. Clin Trials. Apr 2016; 13(2): 161-168. PMID 26400875
- Hartwell EE, Feinn R, Morris PE, et al. 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. Aug 2020; 115(8): 1426-1437. PMID 31961981
- Kampman KM, Sijp R, Spiegel S, et al. Pharmacogenetic role of dopamine transporter (SLC6A3) variation on response to disulfiram treatment for cocaine addiction. Am J Addict. Jul 2019; 28(4): 311-317. PMID 31087723
- Naumova O, Grizenko N, Sengupta SM, et al. DRD4 exon 3 genotype and ADHD: Randomized pharmacodynamic investigation of treatment response to methylphenidate. World J Biol Psychiatry. Jul 2019; 20(6): 486-495. PMID 29182037
- Kuck M, Smith RL, Haslewood T, et al. Effect of CYP2D6 genotype on exposure and efficacy of risperidone and aripiprazole: a retrospective cohort study. Lancet Psychiatry. May 2019; 6(5): 418-426. PMID 31000417
- Caudle KE, Klein TE, Hoffman JM, et al. Incorporation of pharmacogenomics into routine clinical practice: The Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline development process. Curr Drug Metab. Feb 2014; 15(2): 209-17. PMID 24479687
- Bousman CA, Stevenson JM, Ramsey LB, et al. Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6, CYP2C19, CYP2B6, SLC6A4, and HTR2A Genotypes and Serotonin Reuptake Inhibitor Antidepressants. Clin Pharmacol Ther. Jul 2023; 114(1): 51-68. PMID 37032427
- International Society of Psychiatric Genetics. Genetic Testing Statement from the International Society of Psychiatric Genetics.
- Bousman CA, Bengesser SA, Aitchison KJ, et al. Review and Consensus on Pharmacogenomic Testing in Psychiatry. Pharmacopsychiatry. Jan 2021; 54(1): 5-17. PMID 33147643
Policy history |
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MP 2.264 |
04/21/2020 Consensus review. Policy statement unchanged. Policy guidelines, Background, Rationale, and References updated. Coding reviewed. |
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05/20/2020 Administrative update. New code 0175U added to the policy. Product Variation, Benefit Variation, and Disclaimer updated. |
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02/25/2021 Major review. Policy statement updated to include LifeKit Prescript as MN. Rationale, Background, coding, and references updated. |
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12/01/2021 Administrative update. Added 0290 and 0293U. |
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04/07/2022 Minor review. MindX blood tests for mood disorders added to policy as INV. Policy guidelines, Product Variations, and Summary of Evidence updated. References added. |
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09/12/2022 Administrative update. New codes 0345U, 0347U, 0348U, and 0349U added. |
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03/16/2023 Administrative update. New code 0380U added. |
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06/13/2023 Administrative update. New code 0392U added. |
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08/11/2023 Consensus review. Regulatory status updated. References reviewed and updated. Coding reviewed. |
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09/07/2023 Administrative update. New codes 0411U and 0419U added. |
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12/13/2023 Administrative update. Added codes 0423U, 0437U, and 0434U. |
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01/19/2024 Administrative update. Clinical benefit added. |
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06/10/2024 Administrative update. Added 0460U and 0461U. Effective 07/01/2024. |
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10/15/2024 Consensus review. No change to policy statement. References updated. |
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04/10/2025 Minor review. All indications for genetic testing for mental health now investigational. Policy Guidelines removed. Background, Rationale, and References updated. Removed 0032U, 0290U, and 81291. Added 0173U and 81418. |
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07/10/2025 Administrative update. Removed Benefit Variations Section and updated Disclaimer. |
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12/04/2025 Administrative update. Removed code 0033U effective 01/01/2025. |
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03/12/2026 Administrative update. Added 0622U and 0627U as part of new Code Process. Effective date 04/01/2026. |
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