Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/30846
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gilchrist, L | - |
dc.contributor.author | Spargo, TP | - |
dc.contributor.author | Green, RE | - |
dc.contributor.author | Coleman, JRI | - |
dc.contributor.author | Howard, DM | - |
dc.contributor.author | Thorp, JG | - |
dc.contributor.author | Adey, BN | - |
dc.contributor.author | Lord, J | - |
dc.contributor.author | Davies, HL | - |
dc.contributor.author | Mundy, J | - |
dc.contributor.author | ter Kuile, AR | - |
dc.contributor.author | Davies, MR | - |
dc.contributor.author | Hübel, C | - |
dc.contributor.author | Bristow, S | - |
dc.contributor.author | Lee, SH | - |
dc.contributor.author | Rogers, H | - |
dc.contributor.author | Curtis, C | - |
dc.contributor.author | Kakar, S | - |
dc.contributor.author | Malouf, CM | - |
dc.contributor.author | Kalsi, G | - |
dc.contributor.author | Arathimos, R | - |
dc.contributor.author | Corbett, A | - |
dc.contributor.author | Ballard, C | - |
dc.contributor.author | Brooker, H | - |
dc.contributor.author | Creese, B | - |
dc.contributor.author | Aarsland, D | - |
dc.contributor.author | Hampshire, A | - |
dc.contributor.author | Velayudhan, L | - |
dc.contributor.author | Eley, TC | - |
dc.contributor.author | Breen, G | - |
dc.contributor.author | Iacoangeli, A | - |
dc.contributor.author | Kõks, S | - |
dc.contributor.author | Lewis, CM | - |
dc.contributor.author | Proitsi, P | - |
dc.date.accessioned | 2025-02-27T20:59:15Z | - |
dc.date.available | 2025-02-27T20:59:15Z | - |
dc.date.issued | 2025-01-15 | - |
dc.identifier | ORCiD: Lachlan Gilchrist https://orcid.org/0009-0005-6484-2105 | - |
dc.identifier | ORCiD: Thomas P. Spargo https://orcid.org/0000-0003-4297-6418 | - |
dc.identifier | ORCiD: Rebecca E. Green https://orcid.org/0000-0002-0513-5188 | - |
dc.identifier | ORCiD: Jonathan R. I. Coleman https://orcid.org/0000-0002-6759-0944 | - |
dc.identifier | ORCiD: David M. Howard https://orcid.org/0000-0002-6005-1972 | - |
dc.identifier | ORCiD: Jackson G. Thorp https://orcid.org/0000-0002-9461-6417 | - |
dc.identifier | ORCiD: Brett N. Adey https://orcid.org/0000-0003-4356-4079 | - |
dc.identifier | ORCiD: Jodie Lord https://orcid.org/0000-0003-2955-7809 | - |
dc.identifier | ORCiD: Helena L. Davies https://orcid.org/0000-0002-9419-1009 | - |
dc.identifier | ORCiD: Jessica Mundy https://orcid.org/0000-0001-5513-8902 | - |
dc.identifier | ORCiD: Abigail R. ter Kuile https://orcid.org/0000-0002-7869-3754 | - |
dc.identifier | ORCiD: Molly R. Davies https://orcid.org/0000-0003-3483-9907 | - |
dc.identifier | ORCiD: Christopher Hübel https://orcid.org/0000-0002-1267-8287 | - |
dc.identifier | ORCiD: Shannon Bristow https://orcid.org/0000-0002-0896-781X | - |
dc.identifier | ORCiD: Sang Hyuck Lee https://orcid.org/0000-0002-5610-033X | - |
dc.identifier | ORCiD: Henry Rogers https://orcid.org/0000-0003-2531-7496 | - |
dc.identifier | ORCiD: Charles Curtis https://orcid.org/0000-0002-2992-1941 | - |
dc.identifier | ORCiD: Saakshi Kakar https://orcid.org/0000-0003-1677-1857 | - |
dc.identifier | ORCiD: Chelsea M. Malouf https://orcid.org/0000-0002-5564-7464 | - |
dc.identifier | ORCiD: Gursharan Kalsi https://orcid.org/0000-0002-5156-7176 | - |
dc.identifier | ORCiD: Ryan Arathimos https://orcid.org/0000-0002-0473-500X | - |
dc.identifier | ORCiD: Anne Corbett https://orcid.org/0000-0003-2015-0316 | - |
dc.identifier | ORCiD: Clive Ballard https://orcid.org/0000-0003-0022-5632 | - |
dc.identifier | ORCiD: Helen Brooker https://orcid.org/0000-0002-7908-263X | - |
dc.identifier | ORCiD: Byron Creese https://orcid.org/0000-0001-6490-6037 | - |
dc.identifier | ORCiD: Dag Aarsland https://orcid.org/0000-0001-6314-216X | - |
dc.identifier | ORCiD: Adam Hampshire https://orcid.org/0000-0002-5176-5420 | - |
dc.identifier | ORCiD: Latha Velayudhan https://orcid.org/0000-0002-7712-930X | - |
dc.identifier | ORCiD: Thalia C. Eley https://orcid.org/0000-0001-6458-0700 | - |
dc.identifier | ORCiD: Gerome Breen https://orcid.org/0000-0003-2053-1792 | - |
dc.identifier | ORCiD: Alfredo Iacoangeli https://orcid.org/0000-0002-5280-5017 | - |
dc.identifier | ORCiD: Sulev Kõks https://orcid.org/0000-0001-6087-6643 | - |
dc.identifier | ORCiD: Cathryn M. Lewis https://orcid.org/0000-0002-8249-8476 | - |
dc.identifier | ORCiD: Petroula Proitsi https://orcid.org/0000-0002-2553-6974 | - |
dc.identifier.citation | Gilchrist, L. et al. (2025) 'Depression symptom-specific genetic associations in clinically diagnosed and proxy case Alzheimer’s disease', Nature Mental Health, 3, pp. 212 - 228. doi: 10.1038/s44220-024-00369-0. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/30846 | - |
dc.description | Data availability: All GWAS summary statistics generated in the process of conducting this study have been deposited on Zenodo at https://doi.org/10.5281/zenodo.13828101 (ref. 121). Individual-level data from UK Biobank, GLAD and PROTECT are subject to restrictions. Data are available on reasonable request from UK Biobank (https://www.ukbiobank.ac.uk/learn-more-about-uk-biobank/contact-us) through application to the NIHR BioResource for GLAD (https://bioresource.nihr.ac.uk/using-our-bioresource/academic-and-clinical-researchers/apply-for-bioresource-data/) and through the PROTECT data team (https://medicine.exeter.ac.uk/clinical-biomedical/research/protect/). The Alzheimer’s disease GWAS summary statistics used in this study are publically available through the GWAS catalog (https://www.ebi.ac.uk/gwas/efotraits/MONDO_0004975). GWAS summary statistics for the Wightman et al. GWAS excluding the UK Biobank are available at https://vu.data.surfsara.nl/index.php/s/LGjeIk6phQ6zw8I. For clinical and broad depression, summary statistics are available through the Psychiatric Genomic Consortium (https://pgc.unc.edu). eQTL summary datasets used in SMR analysis from Lloyd-Jones et al.100 and PsychENCODE101 can be obtained from the website of the Yang laboratory (https://yanglab.westlake.edu.cn/software/smr/#eQTLsummarydata). This study has been pre-registered on the Open Science Framework (https://osf.io/94q35/?view_only=e77f72d4100d47eea7f3ef07dfa9c059). | en_US |
dc.description | Code availability; Code for performing these analyses has been deposited on GitHub (https://github.com/lpgilchrist/PHQ-9_AD_genetic_overlap_project). This study made use of the following publicly available analysis software: CAUSE (https://jean997.github.io/cause/index.html); coloc (https://chr1swallace.github.io/coloc/); COLOC-reporter (https://github.com/ThomasPSpargo/COLOC-reporter); FUMA GWAS (https://fuma.ctglab.nl); HDL (https://github.com/zhenin/HDL); LAVA (https://github.com/josefin-werme/LAVA); LDSC (https://github.com/bulik/ldsc); MegaPRS (https://dougspeed.com/megaprs/); METAL (https://genome.sph.umich.edu/wiki/METAL_Documentation); MTAG (https://github.com/JonJala/mtag); MungeSumstats (https://github.com/Al-Murphy/MungeSumstats); REGENIE (https://rgcgithub.github.io/regenie/); SMR (https://yanglab.westlake.edu.cn/software/smr/); susieR (https://stephenslab.github.io/susieR/index.html); TwoSampleMR (https://mrcieu.github.io/TwoSampleMR/). | - |
dc.description | Supplementary information is available online at: https://www.nature.com/articles/s44220-024-00369-0#Sec33 . | - |
dc.description | For the purposes of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any accepted author manuscript version arising from this submission. | - |
dc.description.abstract | Depression is a risk factor for the later development of Alzheimer’s disease (AD), but evidence for the genetic relationship is mixed. Assessing depression symptom-specific genetic associations may better clarify this relationship. To address this, we conducted genome-wide meta-analysis (a genome-wide association study, GWAS) of the nine depression symptom items, plus their sum score, on the Patient Health Questionnaire (PHQ-9) (GWAS-equivalent N: 224,535–308,421) using data from UK Biobank, the GLAD study and PROTECT, identifying 37 genomic risk loci. Using six AD GWASs with varying proportions of clinical and proxy (family history) case ascertainment, we identified 20 significant genetic correlations with depression/depression symptoms. However, only one of these was identified with a clinical AD GWAS. Local genetic correlations were detected in 14 regions. No statistical colocalization was identified in these regions. However, the region of the transmembrane protein 106B gene (TMEM106B) showed colocalization between multiple depression phenotypes and both clinical-only and clinical + proxy AD. Mendelian randomization and polygenic risk score analyses did not yield significant results after multiple testing correction in either direction. Our findings do not demonstrate a causal role of depression/depression symptoms on AD and suggest that previous evidence of genetic overlap between depression and AD may be driven by the inclusion of family history-based proxy cases/controls. However, colocalization at TMEM106B warrants further investigation. | en_US |
dc.description.sponsorship | L.G. is funded by the King’s College London DRIVE-Health Centre for Doctoral Training and the Perron Institute for Neurological and Translational Science. P.P. is funded by Alzheimer’s Research UK. S.K. is funded by MSWA and the Perron Institute. H.L.D. acknowledges funding from the Economic and Social Research Council (ESRC). D.M.H. is supported by a Sir Henry Wellcome Postdoctoral Fellowship (ref. 213674/Z/18/Z). B.N.A. acknowledges funding from an NIHR pre-doctoral fellowship (NIHR301067). A.I. is funded by the Motor Neurone Disease Association (MNDA), MND Scotland, Darby Rimmer MND Foundation, Rosetrees Trust, Alzheimer’s Research UK, Spastic Paraplegia Foundation, LifeArc and The NIHR Maudsley Biomedical Research Centre. T.P.S. acknowledges funding from the MNDA. This Article represents independent research that was part funded by the NIHR Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. This research was conducted using the UK Biobank Resource under application no. 18177. We thank the UK Biobank Team for collecting the data and making it available. We also thank the UK Biobank participants. We thank the GLAD Study volunteers for their participation, and gratefully acknowledge the NIHR BioResource centers, NHS Trusts and staff for their contribution. We thank the National Institute for Health Research, NHS Blood and Transplant, and Health Data Research UK as part of the Digital Innovation Hub Programme. This study presents independent research funded by the NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. Further information can be found at https://www.maudsleybrc.nihr.ac.uk/facilities/bioresource/. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, the HSC R&D Division, King’s College London or the Department of Health and Social Care. The PROTECT study was funded/supported by the National Institute of Health and Care Research Exeter Biomedical Research Centre. PROTECT genetic data were funded in part by the University of Exeter through the MRC Proximity to Discovery: Industry Engagement Fund (External Collaboration, Innovation and Entrepreneurism: Translational Medicine in Exeter 2 (EXCITEME2) ref. MC_PC_17189). Genotyping was performed at deCODE Genetics. As data used in this study was obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database, the ADNI investigators contributed to the conception of the sample and acquisition of the data, but were not participants in other parts of this study, such as conceptualization, data analysis or writing. A full acknowledgment list of ADNI investigators is available at https://adni.loni.usc.edu/wp-content/uploads/2024/07/ADNI-Acknowledgement-List_July2024.pdf. Details on ADNI data access can be found at https://adni.loni.usc.edu/data-samples/adni-data/#AccessData. Data collection and sharing for this project was funded by the ADNI (National Institutes of Health grant U01 AG024904) and DOD ADNI (Department of Defense award no. W81XWH-12-2-0012). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie, Alzheimer’s Association; Alzheimer’s Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai, Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd; Janssen Alzheimer Immunotherapy Research & Development, LLC; Johnson & Johnson Pharmaceutical Research & Development LLC; Lumosity; Lundbeck; Merck & Co., Inc.; Meso Scale Diagnostics, LLC; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. The Canadian Institutes of Health Research are providing funds to support ADNI clinical sites in Canada. Private-sector contributions are facilitated by the Foundation for the National Institutes of Health (https://www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer’s Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California. Similarly, data were obtained from the GERAD1 Consortium, and GERAD1 investigators contributed to the conception of the cohort and acquisition of the data, but did not participate in the conceptualization, analysis or writing of this study. A full list of GERAD1 collaborators can be found in Supplementary Section 3. For GERAD1 data, Cardiff University was supported by the Wellcome Trust, MRC, ARUK and the Welsh Assembly Government. Cambridge University and King’s College London acknowledge support from the MRC. ARUK supported sample collections at the South West Dementia Bank and the Universities of Nottingham, Manchester and Belfast. The Belfast group acknowledges support from the Alzheimer’s Society, Ulster Garden Villages, Northern Ireland R&D Office and the Royal College of Physicians/Dunhill Medical Trust. The MRC and Mercer’s Institute for Research on Ageing supported the Trinity College group. The South West Dementia Brain Bank acknowledges support from Bristol Research into Alzheimer’s and Care of the Elderly. The Charles Wolfson Charitable Trust supported the OPTIMA group. Washington University was funded by National Institutes of Health (NIH) grants, the Barnes Jewish Foundation and the Charles and Joanne Knight Alzheimer’s Research Initiative. Patient recruitment for the MRC Prion Unit/University College London(UCL) Department of Neurodegenerative Disease collection was supported by the UCL Hospitals/UCL Biomedical Centre and NIHR Queen Square Dementia Biomedical Research Unit. LASER-AD was funded by Lundbeck SA. The Bonn group was supported by the German Federal Ministry of Education and Research, Competence Network Dementia and Competence Network Degenerative Dementia, and Alfried Krupp von Bohlen und Halbach-Stiftung. The Genetic and Environmental Risk for Alzheimer’s Disease (GERAD1) Consortium also used samples ascertained by the National Institute of Mental Health Alzheimer’s Disease Genetics Initiative. The i-Select chip was funded by the French National Foundation on Alzheimer’s disease and related disorders. The European Alzheimer’s Disease Initiative was supported by a LABEX (Laboratory of Excellence Program Investment for the Future) DISTALZ grant, the Institut National de la Santé et de la Recherche Médicale, Institut Pasteur de Lille, Université de Lille 2 and the Lille University Hospital. The GERAD/Defining Genetic, Polygenic and Environmental Risk for Alzheimer’s Disease Consortium was supported by the MRC (grant no. 503480), ARUK (grant no. 503176), the Wellcome Trust (grant no. 082604/2/07/Z) and the German Federal Ministry of Education and Research (Competence Network Dementia grant nos. 01GI0102, 01GI0711 and 01GI0420). The Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium was partly supported by NIH/NIA grant no. R01 AG033193; NIA grant no. AG081220; AGES contract no. N01-AG-12100; National Heart, Lung and Blood Institute grant no. R01 HL105756; the Icelandic Heart Association; and the Erasmus Medical Center and Erasmus University. The Alzheimer’s Disease Genetics Consortium was supported by NIH/NIA grant nos. U01 AG032984, U24 AG021886 and U01 AG016976; and Alzheimer’s Association grant no. ADGC-10-196728. ANM data are accessible via Synapse (https://www.synapse.org/Synapse:syn22252881). The AddNeuroMed study was supported by InnoMed (Innovative Medicines in Europe)—an Integrated Project funded by the European Union of the Sixth Framework program priority FP6-2004-LIFESCIHEALTH-5, Life Sciences, Genomics and Biotechnology for Health. Compensation was not provided for participants in any of the above studies. We also thank and acknowledge the contribution and use of the CREATE high-performance computing cluster at King’s College London (King’s Computational Research, Engineering and Technology Environment (CREATE); retrieved 23 May 2023 from https://doi.org/10.18742/rnvf-m076). The analysis flowchart in Fig. 1 was created and licensed in BioRender (https://www.BioRender.com/z76j516). The ethics committee/IRB of King’s College London gave ethical approval for this work. Ethical approval for the UK Biobank study was granted by the National Information Governance Board for Health and Social Care and the NHS North West Multicentre Research Ethics Committee (11/NW/0382). Data access permission was granted under UK Biobank application 18177. Written informed consent was obtained from all participants by UK Biobank. The GLAD Study was approved by the London–Fulham Research Ethics Committee on 21 August 2018 (REC ref. 18/LO/1218) following a full review by the committee. The NIHR BioResource has been approved as a Research Tissue Bank by the East of England–Cambridge Central Committee (REC ref. 17/EE/0025). The PROTECT study received ethical approval from the UK London Bridge National Research Ethics Committee (ref. 13/LO/1578). Data were obtained from ADNI, AddNeuroMed and GERAD1 following formal request to each consortia. Permission was granted for the use of data. | en_US |
dc.format.extent | 212 - 228 | - |
dc.format.medium | Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Springer Nature | en_US |
dc.rights | Attribution 4.0 International | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | genetic predisposition to disease | en_US |
dc.subject | genome-wide association studies | en_US |
dc.title | Depression symptom-specific genetic associations in clinically diagnosed and proxy case Alzheimer’s disease | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1038/s44220-024-00369-0 | - |
dc.relation.isPartOf | Nature Mental Health | - |
pubs.publication-status | Published | - |
pubs.volume | 3 | - |
dc.identifier.eissn | 2731-6076 | - |
dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
dcterms.dateAccepted | 2024-11-13 | - |
dc.rights.holder | The Author(s) | - |
Appears in Collections: | Dept of Life Sciences Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | Copyright © The Author(s) 2025. Rights and permissions: Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/. | 4.11 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License