Pathway-Specific Polygenic Scores for Predicting Clinical Lithium Treatment Response in Patients With Bipolar Disorder.

IF 3.7 Q2 NEUROSCIENCES
Biological psychiatry global open science Pub Date : 2025-06-25 eCollection Date: 2025-09-01 DOI:10.1016/j.bpsgos.2025.100558
Nigussie T Sharew, Scott R Clark, Sergi Papiol, Urs Heilbronner, Franziska Degenhardt, Janice M Fullerton, Liping Hou, Tatyana Shekhtman, Mazda Adli, Nirmala Akula, Kazufumi Akiyama, Raffaella Ardau, Bárbara Arias, Roland Hasler, Hélène Richard-Lepouriel, Nader Perroud, Lena Backlund, Abesh Kumar Bhattacharjee, Frank Bellivier, Antonio Benabarre, Susanne Bengesser, Joanna M Biernacka, Armin Birner, Cynthia Marie-Claire, Pablo Cervantes, Hsi-Chung Chen, Caterina Chillotti, Sven Cichon, Cristiana Cruceanu, Piotr M Czerski, Nina Dalkner, Maria Del Zompo, J Raymond DePaulo, Bruno Étain, Stephane Jamain, Peter Falkai, Andreas J Forstner, Louise Frisen, Mark A Frye, Sébastien Gard, Julie S Garnham, Fernando S Goes, Maria Grigoroiu-Serbanescu, Andreas J Fallgatter, Sophia Stegmaier, Thomas Ethofer, Silvia Biere, Kristiyana Petrova, Ceylan Schuster, Kristina Adorjan, Monika Budde, Maria Heilbronner, Janos L Kalman, Mojtaba Oraki Kohshour, Daniela Reich-Erkelenz, Sabrina K Schaupp, Eva C Schulte, Fanny Senner, Thomas Vogl, Ion-George Anghelescu, Volker Arolt, Udo Dannlowski, Detlef E Dietrich, Christian Figge, Markus Jäger, Fabian U Lang, Georg Juckel, Carsten Konrad, Jens Reimer, Max Schmauß, Andrea Schmitt, Carsten Spitzer, Martin von Hagen, Jens Wiltfang, Jörg Zimmermann, Till F M Andlauer, Andre Fischer, Felix Bermpohl, Philipp Ritter, Silke Matura, Anna Gryaznova, Irina Falkenberg, Cüneyt Yildiz, Tilo Kircher, Julia Schmidt, Marius Koch, Kathrin Gade, Sarah Trost, Ida S Haussleiter, Martin Lambert, Anja C Rohenkohl, Vivien Kraft, Paul Grof, Ryota Hashimoto, Joanna Hauser, Stefan Herms, Per Hoffmann, Esther Jiménez, Jean-Pierre Kahn, Layla Kassem, Po-Hsiu Kuo, Tadafumi Kato, John Kelsoe, Sarah Kittel-Schneider, Ewa Ferensztajn-Rochowiak, Barbara König, Ichiro Kusumi, Gonzalo Laje, Mikael Landén, Catharina Lavebratt, Marion Leboyer, Susan G Leckband, Alfonso Tortorella, Mirko Manchia, Lina Martinsson, Michael J McCarthy, Susan McElroy, Francesc Colom, Vincent Millischer, Marina Mitjans, Francis M Mondimore, Palmiero Monteleone, Caroline M Nievergelt, Markus M Nöthen, Tomas Novák, Claire O'Donovan, Norio Ozaki, Andrea Pfennig, Claudia Pisanu, James B Potash, Andreas Reif, Eva Reininghaus, Guy A Rouleau, Janusz K Rybakowski, Martin Schalling, Peter R Schofield, Barbara W Schweizer, Giovanni Severino, Paul D Shilling, Katzutaka Shimoda, Christian Simhandl, Claire M Slaney, Alessio Squassina, Thomas Stamm, Pavla Stopkova, Mario Maj, Gustavo Turecki, Eduard Vieta, Julia Veeh, Biju Viswanath, Stephanie H Witt, Adam Wright, Peter P Zandi, Philip B Mitchell, Michael Bauer, Martin Alda, Marcella Rietschel, Francis J McMahon, Thomas G Schulze, Bernhard T Baune, Klaus Oliver Schubert, Azmeraw T Amare
{"title":"Pathway-Specific Polygenic Scores for Predicting Clinical Lithium Treatment Response in Patients With Bipolar Disorder.","authors":"Nigussie T Sharew, Scott R Clark, Sergi Papiol, Urs Heilbronner, Franziska Degenhardt, Janice M Fullerton, Liping Hou, Tatyana Shekhtman, Mazda Adli, Nirmala Akula, Kazufumi Akiyama, Raffaella Ardau, Bárbara Arias, Roland Hasler, Hélène Richard-Lepouriel, Nader Perroud, Lena Backlund, Abesh Kumar Bhattacharjee, Frank Bellivier, Antonio Benabarre, Susanne Bengesser, Joanna M Biernacka, Armin Birner, Cynthia Marie-Claire, Pablo Cervantes, Hsi-Chung Chen, Caterina Chillotti, Sven Cichon, Cristiana Cruceanu, Piotr M Czerski, Nina Dalkner, Maria Del Zompo, J Raymond DePaulo, Bruno Étain, Stephane Jamain, Peter Falkai, Andreas J Forstner, Louise Frisen, Mark A Frye, Sébastien Gard, Julie S Garnham, Fernando S Goes, Maria Grigoroiu-Serbanescu, Andreas J Fallgatter, Sophia Stegmaier, Thomas Ethofer, Silvia Biere, Kristiyana Petrova, Ceylan Schuster, Kristina Adorjan, Monika Budde, Maria Heilbronner, Janos L Kalman, Mojtaba Oraki Kohshour, Daniela Reich-Erkelenz, Sabrina K Schaupp, Eva C Schulte, Fanny Senner, Thomas Vogl, Ion-George Anghelescu, Volker Arolt, Udo Dannlowski, Detlef E Dietrich, Christian Figge, Markus Jäger, Fabian U Lang, Georg Juckel, Carsten Konrad, Jens Reimer, Max Schmauß, Andrea Schmitt, Carsten Spitzer, Martin von Hagen, Jens Wiltfang, Jörg Zimmermann, Till F M Andlauer, Andre Fischer, Felix Bermpohl, Philipp Ritter, Silke Matura, Anna Gryaznova, Irina Falkenberg, Cüneyt Yildiz, Tilo Kircher, Julia Schmidt, Marius Koch, Kathrin Gade, Sarah Trost, Ida S Haussleiter, Martin Lambert, Anja C Rohenkohl, Vivien Kraft, Paul Grof, Ryota Hashimoto, Joanna Hauser, Stefan Herms, Per Hoffmann, Esther Jiménez, Jean-Pierre Kahn, Layla Kassem, Po-Hsiu Kuo, Tadafumi Kato, John Kelsoe, Sarah Kittel-Schneider, Ewa Ferensztajn-Rochowiak, Barbara König, Ichiro Kusumi, Gonzalo Laje, Mikael Landén, Catharina Lavebratt, Marion Leboyer, Susan G Leckband, Alfonso Tortorella, Mirko Manchia, Lina Martinsson, Michael J McCarthy, Susan McElroy, Francesc Colom, Vincent Millischer, Marina Mitjans, Francis M Mondimore, Palmiero Monteleone, Caroline M Nievergelt, Markus M Nöthen, Tomas Novák, Claire O'Donovan, Norio Ozaki, Andrea Pfennig, Claudia Pisanu, James B Potash, Andreas Reif, Eva Reininghaus, Guy A Rouleau, Janusz K Rybakowski, Martin Schalling, Peter R Schofield, Barbara W Schweizer, Giovanni Severino, Paul D Shilling, Katzutaka Shimoda, Christian Simhandl, Claire M Slaney, Alessio Squassina, Thomas Stamm, Pavla Stopkova, Mario Maj, Gustavo Turecki, Eduard Vieta, Julia Veeh, Biju Viswanath, Stephanie H Witt, Adam Wright, Peter P Zandi, Philip B Mitchell, Michael Bauer, Martin Alda, Marcella Rietschel, Francis J McMahon, Thomas G Schulze, Bernhard T Baune, Klaus Oliver Schubert, Azmeraw T Amare","doi":"10.1016/j.bpsgos.2025.100558","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Polygenic scores (PGSs) hold the potential to identify patients who respond favorably to specific psychiatric treatments. However, their biological interpretation remains unclear. In this study, we developed pathway-specific PGSs (PS<sub>PGSs</sub>) for lithium response and assessed their association with clinical lithium response in patients with bipolar disorder.</p><p><strong>Methods: </strong>Using sets of genes involved in pathways affected by lithium, we developed 9 PS<sub>PGSs</sub> and evaluated their associations with lithium response in the International Consortium on Lithium Genetics (ConLi<sup>+</sup>Gen) (<i>N</i> = 2367), with validation in combined PsyCourse (Pathomechanisms and Signatures in the Longitudinal Course of Psychosis) (<i>N</i> = 105) and BipoLife (<i>N</i> = 102) cohorts. The association between each PS<sub>PGS</sub> and lithium response-defined both as a continuous ALDA score and a categorical outcome (good vs. poor responses)-was evaluated using regression models, with adjustment for confounders. The cutoff for a significant association was <i>p</i> < .05 after multiple testing correction.</p><p><strong>Results: </strong>The PGSs for acetylcholine, GABA (gamma-aminobutyric acid), and mitochondria were associated with response to lithium in both categorical and continuous outcomes. However, the PGSs for calcium channel, circadian rhythm, and GSK (glycogen synthase kinase) were associated only with the continuous outcome. Each score explained 0.29% to 1.91% of the variance in the categorical and 0.30% to 1.54% of the variance in the continuous outcomes. A multivariate model combining PS<sub>PGSs</sub> that showed significant associations in the univariate analysis (combined PS<sub>PGS</sub>) increased the percentage of variance explained (<i>R</i> <sup>2</sup>) to 3.71% and 3.18% for the categorical and continuous outcomes, respectively. Associations for PGSs for GABA and circadian rhythm were replicated. Patients with the highest genetic loading (10th decile) for acetylcholine variants were 3.03 times more likely (95% CI, 1.95 to 4.69) to show a good lithium response (categorical outcome) than patients with the lowest genetic loading (1st decile).</p><p><strong>Conclusions: </strong>PS<sub>PGSs</sub> achieved predictive performance comparable to the conventional genome-wide PGSs, with the added advantage of biological interpretability using a smaller list of genetic variants.</p>","PeriodicalId":72373,"journal":{"name":"Biological psychiatry global open science","volume":"5 5","pages":"100558"},"PeriodicalIF":3.7000,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357302/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological psychiatry global open science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.bpsgos.2025.100558","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Polygenic scores (PGSs) hold the potential to identify patients who respond favorably to specific psychiatric treatments. However, their biological interpretation remains unclear. In this study, we developed pathway-specific PGSs (PSPGSs) for lithium response and assessed their association with clinical lithium response in patients with bipolar disorder.

Methods: Using sets of genes involved in pathways affected by lithium, we developed 9 PSPGSs and evaluated their associations with lithium response in the International Consortium on Lithium Genetics (ConLi+Gen) (N = 2367), with validation in combined PsyCourse (Pathomechanisms and Signatures in the Longitudinal Course of Psychosis) (N = 105) and BipoLife (N = 102) cohorts. The association between each PSPGS and lithium response-defined both as a continuous ALDA score and a categorical outcome (good vs. poor responses)-was evaluated using regression models, with adjustment for confounders. The cutoff for a significant association was p < .05 after multiple testing correction.

Results: The PGSs for acetylcholine, GABA (gamma-aminobutyric acid), and mitochondria were associated with response to lithium in both categorical and continuous outcomes. However, the PGSs for calcium channel, circadian rhythm, and GSK (glycogen synthase kinase) were associated only with the continuous outcome. Each score explained 0.29% to 1.91% of the variance in the categorical and 0.30% to 1.54% of the variance in the continuous outcomes. A multivariate model combining PSPGSs that showed significant associations in the univariate analysis (combined PSPGS) increased the percentage of variance explained (R 2) to 3.71% and 3.18% for the categorical and continuous outcomes, respectively. Associations for PGSs for GABA and circadian rhythm were replicated. Patients with the highest genetic loading (10th decile) for acetylcholine variants were 3.03 times more likely (95% CI, 1.95 to 4.69) to show a good lithium response (categorical outcome) than patients with the lowest genetic loading (1st decile).

Conclusions: PSPGSs achieved predictive performance comparable to the conventional genome-wide PGSs, with the added advantage of biological interpretability using a smaller list of genetic variants.

通路特异性多基因评分预测双相情感障碍患者临床锂治疗反应
背景:多基因评分(pgs)具有识别对特定精神病学治疗反应良好的患者的潜力。然而,它们的生物学解释仍不清楚。在这项研究中,我们开发了用于锂反应的通路特异性pspgs (pspgs),并评估了它们与双相情感障碍患者临床锂反应的关系。方法:利用参与锂影响通路的一系列基因,我们开发了9个PSPGSs,并在国际锂遗传学协会(ConLi+Gen) (N = 2367)中评估了它们与锂反应的关系,并在PsyCourse(精神病纵向病程中的病理机制和特征)(N = 105)和BipoLife (N = 102)联合队列中进行了验证。每个PSPGS和锂反应之间的关联-定义为连续ALDA评分和分类结果(良好与不良反应)-使用回归模型进行评估,并对混杂因素进行调整。经多次检验校正后,显著相关性的截止值为p < 0.05。结果:乙酰胆碱、GABA (γ -氨基丁酸)和线粒体的pgs在分类和连续结局中都与锂反应相关。然而,钙通道、昼夜节律和GSK(糖原合成酶激酶)的pgs仅与连续结果相关。每个分数在分类结果中解释了0.29%至1.91%的方差,在连续结果中解释了0.30%至1.54%的方差。组合PSPGS的多变量模型在单变量分析中显示显著相关性(组合PSPGS),将分类结果和连续结果的方差解释百分比(r2)分别提高到3.71%和3.18%。证实了pgs与GABA和昼夜节律的关联。乙酰胆碱变异遗传负荷最高的患者(第10十分位数)比遗传负荷最低的患者(第1十分位数)表现出良好的锂反应(分类结果)的可能性高3.03倍(95% CI, 1.95至4.69)。结论:pspgs取得了与传统全基因组pgs相当的预测性能,并具有使用较少遗传变异列表的生物学可解释性的额外优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Biological psychiatry global open science
Biological psychiatry global open science Psychiatry and Mental Health
CiteScore
4.00
自引率
0.00%
发文量
0
审稿时长
91 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信