4.8 Article

Association of polygenic score for major depression with response to lithium in patients with bipolar disorder

Journal

MOLECULAR PSYCHIATRY
Volume 26, Issue 6, Pages 2457-2470

Publisher

SPRINGERNATURE
DOI: 10.1038/s41380-020-0689-5

Keywords

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Funding

  1. University of Adelaide through the Adelaide Scholarship International (ASI) program
  2. Deutsche Forschungsgemeinschaft (DFG) [RI 908/7-1, FOR2107, RI 908/11-1, NO246/10-1, WI3429/3-1]
  3. Intramural Research Program of the National Institute of Mental Health [ZIA-MH00284311]
  4. German Federal Ministry of Education and Research (BMBF) through the Integrated Network IntegraMent (Integrated Understanding of Causes and Mechanisms in Mental Disorders) under e:Med Programme
  5. National Institute of Mental Health (NIMH) Bipolar Disorder Genetics Initiative [R01 MH59545, R01 MH059534, K02 DA21237, R01 MH59533, R01 MH60068, R01 MH059548, R01 MH59535, R01 MH59567, R01 MH059556, 1Z01MH002810-01]
  6. NIH from the National Cancer Institute [P50CA89392]
  7. NIH from the National Institute of Drug Abuse [5K02DA021237]
  8. Canadian Institutes of Health Research [64410]
  9. Australian NHMRC Program [1037196]
  10. NHMRC [1063960, 1066177]
  11. Janette Mary O'Neil Research Fellowship
  12. Instituto de Salud Carlos III [PI080247, PI1200906, PI12/00018, 217 SGR 1577, 2017 SGR 1365]
  13. CIBERSAM
  14. Secretaria d'Universitats i Recerca del Departament d' Economia i Coneixement, Generalitat de Catalunya (Government of Catalonia) [2017 SGR 134]
  15. Karolinska Institutet
  16. SoderstromKonigska Foundation
  17. Swiss National Foundation [51NF40158776, 32003B-125469]
  18. INSERM (Institut National de la Sante et de la Recherche Medicale)
  19. AP-HP (Assistance Publique des Hopitaux de Paris)
  20. Fondation FondaMental (RTRS Sante Mentale)
  21. labex Bio-PSY (Investissements d'Avenir program) [ANR-11-IDEX-0004-02]
  22. German Research Foundation (DFG) [FOR2107 DA1151/5-1, DA1151/5-2, SFBTRR58]
  23. Interdisciplinary Center for Clinical Research (IZKF) of the Medical Faculty of the University of Munster [Dan3/012/17]
  24. U.E.F.I.S.C.D.I., Romania
  25. MEYS under the NPU I program [LO1611]
  26. Czech Science Foundation [17-07070S]
  27. Swedish Research Council
  28. Stockholm County Council
  29. Centro de Investigacion en Red de Salud Mental (CIBERSAM)
  30. IDIBAPS
  31. CERCA Programme/Generalitat de Catalunya
  32. Miguel Servet II
  33. Swiss National Science Foundation (SNF) [32003B_125469] Funding Source: Swiss National Science Foundation (SNF)
  34. NATIONAL INSTITUTE OF MENTAL HEALTH [ZIAMH002844, ZIAMH002843] Funding Source: NIH RePORTER
  35. National Health and Medical Research Council of Australia [1063960, 1066177] Funding Source: NHMRC
  36. MRC [G0200243, MR/L023784/2] Funding Source: UKRI

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The study found a significant association between polygenic susceptibility to major depression and response to lithium treatment in patients with bipolar disorder. Patients with a lower polygenic load for depression were more likely to respond well to lithium. This highlights the genetic contribution to lithium response in bipolar disorder and supports the concept of a lithium-responsive biotype.
Lithium is a first-line medication for bipolar disorder (BD), but only one in three patients respond optimally to the drug. Since evidence shows a strong clinical and genetic overlap between depression and bipolar disorder, we investigated whether a polygenic susceptibility to major depression is associated with response to lithium treatment in patients with BD. Weighted polygenic scores (PGSs) were computed for major depression (MD) at different GWAS p value thresholds using genetic data obtained from 2586 bipolar patients who received lithium treatment and took part in the Consortium on Lithium Genetics (ConLi(+)Gen) study. Summary statistics from genome-wide association studies in MD (135,458 cases and 344,901 controls) from the Psychiatric Genomics Consortium (PGC) were used for PGS weighting. Response to lithium treatment was defined by continuous scores and categorical outcome (responders versus non-responders) using measurements on the Alda scale. Associations between PGSs of MD and lithium treatment response were assessed using a linear and binary logistic regression modeling for the continuous and categorical outcomes, respectively. The analysis was performed for the entire cohort, and for European and Asian sub-samples. The PGSs for MD were significantly associated with lithium treatment response in multi-ethnic, European or Asian populations, at various p value thresholds. Bipolar patients with a low polygenic load for MD were more likely to respond well to lithium, compared to those patients with high polygenic load [lowest vs highest PGS quartiles, multi-ethnic sample: OR = 1.54 (95% CI: 1.18-2.01) and European sample: OR = 1.75 (95% CI: 1.30-2.36)]. While our analysis in the Asian sample found equivalent effect size in the same direction: OR = 1.71 (95% CI: 0.61-4.90), this was not statistically significant. Using PGS decile comparison, we found a similar trend of association between a high genetic loading for MD and lower response to lithium. Our findings underscore the genetic contribution to lithium response in BD and support the emerging concept of a lithium-responsive biotype in BD.

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