Association of polygenic score for major depression with response to lithium in patients with bipolar disorder
Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, Research Support, N.I.H., Intramural, práce podpořená grantem
Grantová podpora
R01 MH059535
NIMH NIH HHS - United States
R01 MH059534
NIMH NIH HHS - United States
R01 MH059567
NIMH NIH HHS - United States
R01 MH059548
NIMH NIH HHS - United States
I01 BX003431
BLRD VA - United States
Z01 MH002810
Intramural NIH HHS - United States
G0200243
Medical Research Council - United Kingdom
K02 DA021237
NIDA NIH HHS - United States
R01 MH059556
NIMH NIH HHS - United States
R01 MH060068
NIMH NIH HHS - United States
R01 MH059533
NIMH NIH HHS - United States
MR/T04604X/1
Medical Research Council - United Kingdom
G0801418
Medical Research Council - United Kingdom
MR/L023784/2
Medical Research Council - United Kingdom
MR/L010305/1
Medical Research Council - United Kingdom
PubMed
32203155
DOI
10.1038/s41380-020-0689-5
PII: 10.1038/s41380-020-0689-5
Knihovny.cz E-zdroje
- MeSH
- bipolární porucha * farmakoterapie genetika MeSH
- celogenomová asociační studie MeSH
- deprese MeSH
- depresivní porucha unipolární * farmakoterapie genetika MeSH
- lidé MeSH
- lithium terapeutické užití MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
- Research Support, N.I.H., Intramural MeSH
- Názvy látek
- lithium MeSH
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.
Bipolar Center Wiener Neustadt Sigmund Freud University Medical Faculty Vienna Austria
Center for Molecular Medicine Karolinska University Hospital Stockholm Sweden
Centro de Investigación Biomédica en Red de Salud Mental Instituto de Salud Carlos 3 Madrid Spain
Clinical Neuroscience Max Planck Institute of Experimental Medicine Göttingen Germany
Department of Adult Psychiatry Poznan University of Medical Sciences Poznan Poland
Department of Biomedical Sciences University of Cagliari Cagliari Italy
Department of Clinical Neurosciences Karolinska Institutet Stockholm Sweden
Department of Health Sciences Research Mayo Clinic Rochester MN USA
Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden
Department of Mental Health Johns Hopkins Bloomberg School of Public Health Baltimore MD USA
Department of Molecular Medicine and Surgery Karolinska Institute Stockholm Sweden
Department of Pharmacology Dalhousie University Halifax NS Canada
Department of Psychiatry and Behavioral Sciences Johns Hopkins University Baltimore MD USA
Department of Psychiatry and Psychology Mayo Clinic Rochester MN USA
Department of Psychiatry and Psychotherapy Ludwig Maximilian University Munich Munich Germany
Department of Psychiatry and Psychotherapy University of Münster Münster Germany
Department of Psychiatry Dalhousie University Halifax NS Canada
Department of Psychiatry Dokkyo Medical University School of Medicine Mibu Tochigi Japan
Department of Psychiatry Hokkaido University Graduate School of Medicine Sapporo Japan
Department of Psychiatry Lindner Center of Hope University of Cincinnati Mason OH USA
Department of Psychiatry Melbourne Medical School University of Melbourne Parkville VIC Australia
Department of Psychiatry Mood Disorders Unit HUG Geneva University Hospitals Geneva Switzerland
Department of Psychiatry Osaka University Graduate School of Medicine Osaka Japan
Department of Psychiatry University of Basel Basel Switzerland
Department of Psychiatry University of California San Diego San Diego CA USA
Department of Psychiatry University of Campania Luigi Vanvitelli Naples Italy
Department of Psychiatry University of Perugia Perugia Italy
Department of Psychiatry VA San Diego Healthcare System San Diego CA USA
Discipline of Psychiatry School of Medicine University of Adelaide Adelaide SA Australia
Douglas Mental Health University Institute McGill University Montreal QC Canada
HSL Institute for Aging Research Harvard Medical School Boston MA USA
Human Genomics Research Group Department of Biomedicine University Hospital Basel Basel Switzerland
Inserm U955 Translational Psychiatry laboratory Fondation FondaMental Créteil France
Institute of Psychiatric Phenomics and Genomics University Hospital LMU Munich Munich Germany
Laboratory for Molecular Dynamics of Mental Disorders RIKEN Center for Brain Science Saitama Japan
Mental Health Research Group IMIM Hospital del Mar Barcelona Catalonia Spain
Montreal Neurological Institute and Hospital McGill University Montreal QC Canada
Mood Disorders Center of Ottawa Ottawa ON Canada
National Institute of Mental Health Klecany Czech Republic
Neuroscience Research Australia Sydney NSW Australia
Northern Adelaide Local Health Network Mental Health Services Adelaide SA Australia
Office of Mental Health VA San Diego Healthcare System San Diego CA USA
Program for Quantitative Genomics Harvard School of Public Health Boston MA USA
Psychiatric Genetic Unit Poznan University of Medical Sciences Poznan Poland
School of Medical Sciences University of New South Wales Sydney NSW Australia
School of Psychiatry University of New South Wales and Black Dog Institute Sydney NSW Australia
Service de psychiatrie Hôpital Charles Perrens Bordeaux France
The Neuromodulation Unit McGill University Health Centre Montreal QC Canada
Unit of Clinical Pharmacology Hospital University Agency of Cagliari Cagliari Italy
Unitat de Zoologia i Antropologia Biològica University of Barcelona CIBERSAM Barcelona Spain
Zobrazit více v PubMed
Ferrari AJ, Stockings E, Khoo JP, Erskine HE, Degenhardt L, Vos T, et al. The prevalence and burden of bipolar disorder: findings from the Global Burden of Disease Study 2013. Bipolar Disord. 2016;18:440–50. PubMed DOI
Chesney E, Goodwin GM, Fazel S. Risks of all-cause and suicide mortality in mental disorders: a meta-review. World Psychiatry. 2014;13:153–60. PubMed DOI PMC
Schulze TG, Alda M, Adli M, Akula N, Ardau R, Bui ET, et al. The International Consortium on Lithium Genetics (ConLiGen): an initiative by the NIMH and IGSLI to study the genetic basis of response to lithium treatment. Neuropsychobiology. 2010;62:72–8. PubMed DOI PMC
Malhi GS, Bassett D, Boyce P, Bryant R, Fitzgerald PB, Fritz K, et al. Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders. Aust N Z J Psychiatry. 2015;49:1087–206. PubMed DOI
Hou L, Heilbronner U, Degenhardt F, Adli M, Akiyama K, Akula N, et al. Genetic variants associated with response to lithium treatment in bipolar disorder: a genome-wide association study. The Lancet. 2016;387:1085–93. DOI
Grof P, Duffy A, Cavazzoni P, Grof E, Garnham J, MacDougall M, et al. Is response to prophylactic lithium a familial trait? J Clin Psychiatry. 2002;63:942–7. PubMed DOI
Garnham J, Munro A, Slaney C, Macdougall M, Passmore M, Duffy A, et al. Prophylactic treatment response in bipolar disorder: results of a naturalistic observation study. J Affect Disord. 2007;104:185–90. PubMed DOI
Lahteenvuo M, Tanskanen A, Taipale H, Hoti F, Vattulainen P, Vieta E, et al. Real-world effectiveness of pharmacologic treatments for the prevention of rehospitalization in a finnish nationwide cohort of patients with bipolar disorder. JAMA Psychiatry. 2018;75:347–55. PubMed DOI PMC
Grande I, Berk M, Birmaher B, Vieta E. Bipolar disorder. Lancet (London, England). 2016;387:1561–72. DOI
Bauer M, Gitlin M. Practical management of lithium. In: The essential guide to lithium treatment. Springer International Publishing: Cham, 2016, pp 113–28.
Oedegaard KJ, Alda M, Anand A, Andreassen OA, Balaraman Y, Berrettini WH, et al. The Pharmacogenomics of Bipolar Disorder study (PGBD): identification of genes for lithium response in a prospective sample. BMC Psychiatry. 2016;16:129. PubMed DOI PMC
Severus E, Taylor MJ, Sauer C, Pfennig A, Ritter P, Bauer M, et al. Lithium for prevention of mood episodes in bipolar disorders: systematic review and meta-analysis. Int J Bipolar Disord. 2014;2:15. PubMed DOI PMC
Joas E, Karanti A, Song J, Goodwin GM, Lichtenstein P, Landen M. Pharmacological treatment and risk of psychiatric hospital admission in bipolar disorder. Br J Psychiatry. 2017;210:197–202. PubMed DOI
Chen CH, Lee CS, Lee MT, Ouyang WC, Chen CC, Chong MY, et al. Variant GADL1 and response to lithium therapy in bipolar I disorder. N Engl J Med. 2014;370:119–28. PubMed DOI
Song J, Bergen SE, Di Florio A, Karlsson R, Charney A, Ruderfer DM, et al. Genome-wide association study identifies SESTD1 as a novel risk gene for lithium-responsive bipolar disorder. Molecular Psychiatry. 2016;21:1290–7. PubMed DOI
Amare AT, Schubert KO, Hou L, Clark SR, Papiol S, Heilbronner U, et al. Association of polygenic score for schizophrenia and HLA antigen and inflammation genes with response to lithium in bipolar affective disorder: a genome-wide association study. JAMA Psychiatry. 2018;75:65–74. PubMed
Goldberg JF, Garno JL, Leon AC, Kocsis JH, Portera L. A history of substance abuse complicates remission from acute mania in bipolar disorder. J Clin Psychiatry. 1999;60:733–40. PubMed DOI
Calkin C, van de Velde C, Ruzickova M, Slaney C, Garnham J, Hajek T, et al. Can body mass index help predict outcome in patients with bipolar disorder? Bipolar Disorders. 2009;11:650–6. PubMed DOI PMC
Calkin CV, Ruzickova M, Uher R, Hajek T, Slaney CM, Garnham JS, et al. Insulin resistance and outcome in bipolar disorder. Brit J Psychiatry. 2015;206:52–7. DOI
Mitchell PB, Frankland A, Hadzi-Pavlovic D, Roberts G, Corry J, Wright A, et al. Comparison of depressive episodes in bipolar disorder and in major depressive disorder within bipolar disorder pedigrees. Brit J Psychiatry. 2011;199:303–9. DOI
Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM. Cross-Disorder Group of the Psychiatric Genomics C et al. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nat Genet. 2013;45:984–94. PubMed DOI
Cross-Disorder Group of the Psychiatric Genomics C. Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. The Lancet. 2013;381:1371–9. DOI
Amare AT, Schubert KO, Klingler-Hoffmann M, Cohen-Woods S, Baune BT. The genetic overlap between mood disorders and cardiometabolic diseases: a systematic review of genome wide and candidate gene studies. Transl Psychiatry. 2017;7:e1007. PubMed DOI PMC
Amare AT, Schubert KO, Baune BT. Pharmacogenomics in the treatment of mood disorders: strategies and opportunities for personalized psychiatry. EPMA J. 2017;8:211–27. PubMed DOI PMC
Abou-Saleh MT, Muller-Oerlinghausen B, Coppen AJ. Lithium in the episode and suicide prophylaxis and in augmenting strategies in patients with unipolar depression. Int J Bipolar Disord. 2017;5:11. PubMed DOI PMC
Zhou X, Ravindran AV, Qin B, Del Giovane C, Li Q, Bauer M, et al. Comparative efficacy, acceptability, and tolerability of augmentation agents in treatment-resistant depression: systematic review and network meta-analysis. J Clin Psychiatry. 2015;76:e487–98. PubMed DOI
Tiihonen J, Tanskanen A, Hoti F, Vattulainen P, Taipale H, Mehtala J, et al. Pharmacological treatments and risk of readmission to hospital for unipolar depression in Finland: a nationwide cohort study. Lancet Psychiatry. 2017;4:547–53. PubMed DOI
Popovic D, Reinares M, Goikolea JM, Bonnin CM, Gonzalez-Pinto A, Vieta E. Polarity index of pharmacological agents used for maintenance treatment of bipolar disorder. Eur Neuropsychopharmacol. 2012;22:339–46. PubMed DOI
Vieta E, Berk M, Schulze TG, Carvalho AF, Suppes T, Calabrese JR, et al. Bipolar disorders. Nat Rev Dis Primers. 2018;4:18008. PubMed DOI
Colom F, Vieta E, Daban C, Pacchiarotti I, Sanchez-Moreno J. Clinical and therapeutic implications of predominant polarity in bipolar disorder. J Affect Disord. 2006;93:13–7. PubMed DOI
Kessing LV, Hellmund G, Andersen PK. Predictors of excellent response to lithium: results from a nationwide register-based study. Int Clin Psychopharmacol. 2011;26:323–8. PubMed DOI
Kleindienst N, Engel R, Greil W. Which clinical factors predict response to prophylactic lithium? A systematic review for bipolar disorders. Bipolar Disorders. 2005;7:404–17. PubMed DOI
Pfennig A, Schlattmann P, Alda M, Grof P, Glenn T, Muller-Oerlinghausen B, et al. Influence of atypical features on the quality of prophylactic effectiveness of long-term lithium treatment in bipolar disorders. Bipolar Disorders. 2010;12:390–6. PubMed DOI
Fountoulakis KN, Kontis D, Gonda X, Siamouli M, Yatham LN. Treatment of mixed bipolar states. Int J Neuropsychopharmacol. 2012;15:1015–26. PubMed DOI
Sportiche S, Geoffroy PA, Brichant-Petitjean C, Gard S, Khan JP, Azorin JM, et al. Clinical factors associated with lithium response in bipolar disorders. Aust N Z J Psychiatry. 2017;51:524–30. PubMed DOI
Wray NR, Ripke S, Mattheisen M, Trzaskowski M, Byrne EM, Abdellaoui A et al. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nature Genetics 2018;50:668–81.
Duffy A, Alda M, Milin R, Grof P. A consecutive series of treated affected offspring of parents with bipolar disorder: is response associated with the clinical profile? Can J Psychiatry. 2007;52:369–76. PubMed DOI
Manchia M, Adli M, Akula N, Ardau R, Aubry JM, Backlund L, et al. Assessment of response to lithium maintenance treatment in bipolar disorder: a consortium on lithium genetics (ConLiGen) report. PloS ONE. 2013;8:e65636. PubMed DOI PMC
Scott J, Etain B, Manchia M, Brichant-Petitjean C, Geoffroy PA, Schulze T et al. An examination of the quality and performance of the Alda scale for classifying lithium response phenotypes. Bipolar Disorders. 2019. https://doi.org/10.1111/bdi.12829 .
Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81:559–75. PubMed DOI PMC
Das S, Forer L, Schonherr S, Sidore C, Locke AE, Kwong A, et al. Next-generation genotype imputation service and methods. Nat Genet. 2016;48:1284–7. PubMed DOI PMC
Purcell SM, Wray NR, Stone JL, Visscher PM, O’Donovan MC, Sullivan PF, et al. Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature. 2009;460:748–52. PubMed DOI
Stahl EA, Breen G, Forstner AJ, McQuillin A, Ripke S, Trubetskoy V, et al. Genome-wide association study identifies 30 loci associated with bipolar disorder. Nat Genet. 2019;51:793–803. PubMed DOI PMC
Zheng HF, Forgetta V, Hsu YH, Estrada K, Rosello-Diez A, Leo PJ, et al. Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture. Nature. 2015;526:112–7. PubMed DOI PMC
Amare AT, Vaez A, Hsu YH, Direk N, Kamali Z, Howard DM et al. Bivariate genome-wide association analyses of the broad depression phenotype combined with major depressive disorder, bipolar disorder or schizophrenia reveal eight novel genetic loci for depression. Mol Psychiatry. 2019. https://doi.org/10.1038/s41380-018-0336-6 .
Choi SW, O’Reilly PF. PRSice-2: polygenic risk score software for biobank-scale data. GigaScience. 2019;8:giz082. PubMed DOI PMC
Bland JM, Altman DG. Multiple significance tests: the Bonferroni method. BMJ. 1995;310:170. PubMed DOI PMC
Malhi GS, Tanious M, Das P, Berk M. The science and practice of lithium therapy. Aust N Z J Psychiatry. 2012;46:192–211. PubMed DOI
Grof E, Haag M, Grof P, Haag H. Lithium response and the sequence of episode polarities: preliminary report on a Hamilton sample. Prog Neuropsychopharmacol Biol Psychiatry. 1987;11:199–203. PubMed DOI
Hui TP, Kandola A, Shen L, Lewis G, Osborn DPJ, Geddes JR, et al. A systematic review and meta-analysis of clinical predictors of lithium response in bipolar disorder. Acta Psychiatr Scand. 2019;140:94–115. PubMed DOI PMC
Grof P, Alda M, Grof E, Zvolsky P, Walsh M. Lithium response and genetics of affective disorders. J Affect Disord. 1994;32:85–95. PubMed DOI
Bschor T. Lithium in the treatment of major depressive disorder. Drugs. 2014;74:855–62. PubMed DOI
Alevizos B, Alevizos E, Leonardou A, Zervas I. Low dosage lithium augmentation in venlafaxine resistant depression: an open-label study. Psychiatriki. 2012;23:143–8. PubMed
Bauer M, Döpfmer S. Lithium augmentation in treatment-resistant depression: meta-analysis of placebo-controlled studies. Prim Care Companion J Clin Psych. 2000;2:31.
Bauer M, Adli M, Ricken R, Severus E, Pilhatsch M. Role of lithium augmentation in the management of major depressive disorder. CNS Drugs. 2014;28:331–42. PubMed DOI
Bauer M, Bschor T, Kunz D, Berghofer A, Strohle A, Muller-Oerlinghausen B. Double-blind, placebo-controlled trial of the use of lithium to augment antidepressant medication in continuation treatment of unipolar major depression. Am J Psychiatry. 2000;157:1429–35. PubMed DOI
Bauer M, Adli M, Baethge C, Berghöfer A, Sasse J, Heinz A, et al. Lithium augmentation therapy in refractory depression: clinical evidence and neurobiological mechanisms. Can J Psychiatry. 2003;48:440–8. PubMed DOI
Bschor T, Bauer M. Efficacy and mechanisms of action of Lithium augmentation in refractory major depression. Curr Pharm Des. 2006;12:2985–92. PubMed DOI
Kan C, Pedersen NL, Christensen K, Bornstein SR, Licinio J, MacCabe JH, et al. Genetic overlap between type 2 diabetes and depression in Swedish and Danish twin registries. Mol Psychiatry. 2016;21:903. PubMed DOI PMC
Bigdeli TB, Ripke S, Peterson RE, Trzaskowski M, Bacanu SA, Abdellaoui A, et al. Genetic effects influencing risk for major depressive disorder in China and Europe. Transl Psychiatry. 2017;7:e1074. PubMed DOI PMC
Shan GW, Makmor-Bakry M, Omar MS. Long term use of lithium and factors associated with treatment response among patients with bipolar disorder. Psychiatr Danub. 2016;28:146–53. PubMed
Wray NR, Lee SH, Mehta D, Vinkhuyzen AA, Dudbridge F, Middeldorp CM. Research review: polygenic methods and their application to psychiatric traits. J Child Psychol Psychiatry Allied Discip. 2014;55:1068–87. DOI
HLA-DRB1 and HLA-DQB1 genetic diversity modulates response to lithium in bipolar affective disorders
Exemplar scoring identifies genetically separable phenotypes of lithium responsive bipolar disorder
ClinicalTrials.gov
NCT00001174