TY - JOUR
T1 - Sociodemographic, clinical, and genetic factors associated with self-reported antidepressant response outcomes in the UK Biobank
AU - Kamp, Michelle
AU - Lo, Chris
AU - Kokkinidis, Grigorios
AU - Chauhan, Mimansa
AU - Gillett, Alexandra
AU - Pain, Ollie
AU - M. McIntosh, Andrew
AU - Lewis, Cathryn
N1 - Publisher Copyright:
© The Author(s), 2025. Published by Cambridge University Press.
PY - 2025/3/12
Y1 - 2025/3/12
N2 - BACKGROUND: In major depressive disorder (MDD), only ~35% achieve remission after first-line antidepressant therapy. Using UK Biobank data, we identify sociodemographic, clinical, and genetic predictors of antidepressant response through self-reported outcomes, aiming to inform personalized treatment strategies. METHODS: In UK Biobank Mental Health Questionnaire 2, participants with MDD reported whether specific antidepressants helped them. We tested whether retrospective lifetime response to four selective serotonin reuptake inhibitors (SSRIs) (N = 19,516) - citalopram (N = 8335), fluoxetine (N = 8476), paroxetine (N = 2297) and sertraline (N = 5883) - was associated with sociodemographic (e.g. age, gender) and clinical factors (e.g. episode duration). Genetic analyses evaluated the association between CYP2C19 variation and self-reported response, while polygenic score (PGS) analysis assessed whether genetic predisposition to psychiatric disorders and antidepressant response predicted self-reported SSRI outcomes. RESULTS: 71%-77% of participants reported positive responses to SSRIs. Non-response was significantly associated with alcohol and illicit drug use (OR = 1.59, p = 2.23 × 10-20), male gender (OR = 1.25, p = 8.29 × 10-08), and lower-income (OR = 1.35, p = 4.22 × 10-07). The worst episode lasting over 2 years (OR = 1.93, p = 3.87 × 10-16) and no mood improvement from positive events (OR = 1.35, p = 2.37 × 10-07) were also associated with non-response. CYP2C19 poor metabolizers had nominally higher non-response rates (OR = 1.31, p = 1.77 × 10-02). Higher PGS for depression (OR = 1.08, p = 3.37 × 10-05) predicted negative SSRI outcomes after multiple testing corrections. CONCLUSIONS: Self-reported antidepressant response in the UK Biobank is influenced by sociodemographic, clinical, and genetic factors, mirroring clinical response measures. While positive outcomes are more frequent than remission reported in clinical trials, these self-reports replicate known treatment associations, suggesting they capture meaningful aspects of antidepressant effectiveness from the patient's perspective.
AB - BACKGROUND: In major depressive disorder (MDD), only ~35% achieve remission after first-line antidepressant therapy. Using UK Biobank data, we identify sociodemographic, clinical, and genetic predictors of antidepressant response through self-reported outcomes, aiming to inform personalized treatment strategies. METHODS: In UK Biobank Mental Health Questionnaire 2, participants with MDD reported whether specific antidepressants helped them. We tested whether retrospective lifetime response to four selective serotonin reuptake inhibitors (SSRIs) (N = 19,516) - citalopram (N = 8335), fluoxetine (N = 8476), paroxetine (N = 2297) and sertraline (N = 5883) - was associated with sociodemographic (e.g. age, gender) and clinical factors (e.g. episode duration). Genetic analyses evaluated the association between CYP2C19 variation and self-reported response, while polygenic score (PGS) analysis assessed whether genetic predisposition to psychiatric disorders and antidepressant response predicted self-reported SSRI outcomes. RESULTS: 71%-77% of participants reported positive responses to SSRIs. Non-response was significantly associated with alcohol and illicit drug use (OR = 1.59, p = 2.23 × 10-20), male gender (OR = 1.25, p = 8.29 × 10-08), and lower-income (OR = 1.35, p = 4.22 × 10-07). The worst episode lasting over 2 years (OR = 1.93, p = 3.87 × 10-16) and no mood improvement from positive events (OR = 1.35, p = 2.37 × 10-07) were also associated with non-response. CYP2C19 poor metabolizers had nominally higher non-response rates (OR = 1.31, p = 1.77 × 10-02). Higher PGS for depression (OR = 1.08, p = 3.37 × 10-05) predicted negative SSRI outcomes after multiple testing corrections. CONCLUSIONS: Self-reported antidepressant response in the UK Biobank is influenced by sociodemographic, clinical, and genetic factors, mirroring clinical response measures. While positive outcomes are more frequent than remission reported in clinical trials, these self-reports replicate known treatment associations, suggesting they capture meaningful aspects of antidepressant effectiveness from the patient's perspective.
KW - Antidepressant response
KW - Selective serotonin reuptake inhibitors (SSRIs)
KW - Major depressive disorder (MDD)
KW - Polygenic scores
KW - CYP2C19 metabolizer status
UR - https://www.scopus.com/pages/publications/105000119756
U2 - 10.1017/S0033291725000388
DO - 10.1017/S0033291725000388
M3 - Article
SN - 0033-2917
VL - 55
SP - e80
JO - Psychological Medicine
JF - Psychological Medicine
M1 - 1 13
ER -