TY - JOUR
T1 - Association of polygenic score for schizophrenia and HLA antigen and inflammation genes with response to lithium in bipolar affective disorder
T2 - A genome-wide association study
AU - International Consortium on Lithium Genetics (ConLi+Gen)
AU - Amare, Azmeraw T.
AU - Schubert, Klaus Oliver
AU - Hou, Liping
AU - Clark, Scott R.
AU - Papiol, Sergi
AU - Heilbronner, Urs
AU - Degenhardt, Franziska
AU - Tekola-Ayele, Fasil
AU - Hsu, Yi Hsiang
AU - Shekhtman, Tatyana
AU - Adli, Mazda
AU - Akula, Nirmala
AU - Akiyama, Kazufumi
AU - Ardau, Raffaella
AU - Arias, Bárbara
AU - Aubry, Jean Michel
AU - Backlund, Lena
AU - Bhattacharjee, Abesh Kumar
AU - Bellivier, Frank
AU - Benabarre, Antonio
AU - Bengesser, Susanne
AU - Biernacka, Joanna M.
AU - Birner, Armin
AU - Brichant-Petitjean, Clara
AU - Cervantes, Pablo
AU - Chen, Hsi Chung
AU - Chillotti, Caterina
AU - Cichon, Sven
AU - Cruceanu, Cristiana
AU - Czerski, Piotr M.
AU - Dalkner, Nina
AU - Dayer, Alexandre
AU - Del Zompo, Maria
AU - DePaulo, J. Raymond
AU - Étain, Bruno
AU - Falkai, Peter
AU - Forstner, Andreas J.
AU - Frisen, Louise
AU - Frye, Mark A.
AU - Fullerton, Janice M.
AU - Gard, Sébastien
AU - Garnham, Julie S.
AU - Goes, Fernando S.
AU - Grigoroiu-Serbanescu, Maria
AU - Grof, Paul
AU - Hashimoto, Ryota
AU - Hauser, Joanna
AU - Herms, Stefan
AU - Hoffmann, Per
AU - Kittel-Schneider, Sarah
PY - 2018/1
Y1 - 2018/1
N2 - IMPORTANCE Lithium is a first-line mood stabilizer for the treatment of bipolar affective disorder (BPAD). However, the efficacy of lithium varies widely, with a nonresponse rate of up to 30%. Biological response markers are lacking. Genetic factors are thought to mediate treatment response to lithium, and there is a previously reported genetic overlap between BPAD and schizophrenia (SCZ). OBJECTIVES To test whether a polygenic score for SCZ is associated with treatment response to lithium in BPAD and to explore the potential molecular underpinnings of this association. DESIGN, SETTING, AND PARTICIPANTS A total of 2586 patients with BPAD who had undergone lithium treatment were genotyped and assessed for long-term response to treatment between 2008 and 2013.Weighted SCZ polygenic scores were computed at different P value thresholds using summary statistics from an international multicenter genome-wide association study (GWAS) of 36 989 individuals with SCZ and genotype data from patients with BPAD from the Consortium on Lithium Genetics. For functional exploration, a cross-trait meta-GWAS and pathway analysis was performed, combining GWAS summary statistics on SCZ and response to treatment with lithium. Data analysis was performed from September 2016 to February 2017. MAIN OUTCOMES AND MEASURES Treatment response to lithiumwas defined on both the categorical and continuous scales using the Retrospective Criteria of Long-Term Treatment Response in Research Subjects with Bipolar Disorder score. The effect measures include odds ratios and the proportion of variance explained. RESULTS Of the 2586 patients in the study (mean [SD] age, 47.2 [13.9] years), 1478 were women and 1108 were men. The polygenic score for SCZ was inversely associated with lithium treatment response in the categorical outcome, at a threshold P < 5 ? 10-2. Patients with BPAD who had a low polygenic load for SCZ responded better to lithium, with odds ratios for lithium response ranging from 3.46 (95%CI, 1.42-8.41) at the first decile to 2.03 (95%CI, 0.86-4.81) at the ninth decile, compared with the patients in the 10th decile of SCZ risk. In the cross-trait meta-GWAS, 15 genetic loci that may have overlapping effects on lithium treatment response and susceptibility to SCZ were identified. Functional pathway and network analysis of these loci point to the HLA antigen complex and inflammatory cytokines. CONCLUSIONS AND RELEVANCE This study provides evidence for a negative association between high genetic loading for SCZ and poor response to lithium in patients with BPAD. These results suggest the potential for translational research aimed at personalized prescribing of lithium.
AB - IMPORTANCE Lithium is a first-line mood stabilizer for the treatment of bipolar affective disorder (BPAD). However, the efficacy of lithium varies widely, with a nonresponse rate of up to 30%. Biological response markers are lacking. Genetic factors are thought to mediate treatment response to lithium, and there is a previously reported genetic overlap between BPAD and schizophrenia (SCZ). OBJECTIVES To test whether a polygenic score for SCZ is associated with treatment response to lithium in BPAD and to explore the potential molecular underpinnings of this association. DESIGN, SETTING, AND PARTICIPANTS A total of 2586 patients with BPAD who had undergone lithium treatment were genotyped and assessed for long-term response to treatment between 2008 and 2013.Weighted SCZ polygenic scores were computed at different P value thresholds using summary statistics from an international multicenter genome-wide association study (GWAS) of 36 989 individuals with SCZ and genotype data from patients with BPAD from the Consortium on Lithium Genetics. For functional exploration, a cross-trait meta-GWAS and pathway analysis was performed, combining GWAS summary statistics on SCZ and response to treatment with lithium. Data analysis was performed from September 2016 to February 2017. MAIN OUTCOMES AND MEASURES Treatment response to lithiumwas defined on both the categorical and continuous scales using the Retrospective Criteria of Long-Term Treatment Response in Research Subjects with Bipolar Disorder score. The effect measures include odds ratios and the proportion of variance explained. RESULTS Of the 2586 patients in the study (mean [SD] age, 47.2 [13.9] years), 1478 were women and 1108 were men. The polygenic score for SCZ was inversely associated with lithium treatment response in the categorical outcome, at a threshold P < 5 ? 10-2. Patients with BPAD who had a low polygenic load for SCZ responded better to lithium, with odds ratios for lithium response ranging from 3.46 (95%CI, 1.42-8.41) at the first decile to 2.03 (95%CI, 0.86-4.81) at the ninth decile, compared with the patients in the 10th decile of SCZ risk. In the cross-trait meta-GWAS, 15 genetic loci that may have overlapping effects on lithium treatment response and susceptibility to SCZ were identified. Functional pathway and network analysis of these loci point to the HLA antigen complex and inflammatory cytokines. CONCLUSIONS AND RELEVANCE This study provides evidence for a negative association between high genetic loading for SCZ and poor response to lithium in patients with BPAD. These results suggest the potential for translational research aimed at personalized prescribing of lithium.
UR - https://www.scopus.com/pages/publications/85040465816
U2 - 10.1001/jamapsychiatry.2017.3433
DO - 10.1001/jamapsychiatry.2017.3433
M3 - Article
C2 - 29121268
AN - SCOPUS:85040465816
SN - 2168-622X
VL - 75
SP - 65
EP - 74
JO - JAMA Psychiatry
JF - JAMA Psychiatry
IS - 1
ER -