| Title: | Alzheimer’s disease genetics converges on microglial and neuronal dysregulation |
| Authors: | Uffelmann, Emil Wightman, Douglas P Bahrami, Shahram Shadrin, Alexey A Fominykh, Vera Ojima, Takafumi Jiang, Chenyang Benner, Christian Moreno, Elisa Campos, Adrian I Thomassen, Jesper Q Ghanbari, Mohsen Franc, Monique Pedersen, Nancy L Bell, Nathaniel Y Tesi, Niccoló Buchanan, Adam Engstad, Torgeir Tung, Paul Fladby, Tormod Krishnamoorthy, Santhanagopalan INDIANA-CHALASANI Wu, Hei Man Merritt, Victoria Cliby, William A Bergh, Sverre van der Flier, Wiesje M Wang, Rujin Stahl, Eli A Carey, David J Hooli, Basavaraj Rader, Daniel J Mount Sinai Million Health Discoveries Program Medbøen, Ingrid T Hartmann, Annette M Ritchie, Marylyn D Weaver, JoEllen Naseer, Nawar Walters, G Bragi Ahlskog, J Eric Sirugo, Giorgio Poindexter, Afiya Martin, Christa L Estonian Biobank research team Ko, Yi-An Dunn, Joseph Nerz, Kyle P Dever, Jenna Yamaguchi, Taka Harvey, Aidan Linn, Sydney Livingstone, Meghan Vadivieso, Fred DerOhannessian, Stephanie VA Million Veteran Program Bower, James H Pereira, Naveen L Ku, Lisa Sherva, Richard Tran, Teo Stephanowski, Julia Santos, Salma Chalasani, Naga Haubein, Ned Meyer, Michelle N PGC-ALZ Retterer, Kyle Holstege, Henne Namba, Shinichi Kudron, Elizabeth L Wang, Xuemin Rolston, David Cerhan, James R Couch, Fergus J Olson, Janet E Larson, Nicholas B Hjerling-Leffler, Jens Fredericksen, Zachary S Cicek, Mine Ma, Daniel J Bundgaard, Henning van Seumeren, Anna L Biernacka, Joanna M Bakkum-Gamez, Jamie N Karpyak, Victor M Vemuri, Prashanthi Bryois, Julien Rongve, Arvid Ramanan, Vijay K Frye, Mark A McLaughlin, Sarah A Ruddy, Kathryn J Bielinski, Suzette J Lacy, Rashawnda Zetterberg, Henrik Lieske, John C Mutter, Robert W Saykin, Andrew J Dispenzieri, Angela Hooten, W Michael Boardman, Lisa A Kennedy, Richard B Badley, Andrew D Krebs, Kristi Dowdy, Sean C Lange, Ethan M Eckel-Passow, Jeanette E Ullum, Henrik Colborn, Lisa K Madsen, Bengt O Frei, Oleksandr Narita, Akira Charney, Alexander W Danielsen, Andrew J Harrington, Jonathan J Kushwaha, Jennifer M Anderson, Heather D Lesny, Joe A Aquilante, Christina L Arbogast, Kelsey Verma, Shefali S Truelsen, Thomas Brooks, Ian M Burke, Elizabeth E Casteel, Emily M Bousiges, Olivier Davis, Lea K Cole, Joanne B Serretti, Alessandro Lin, Meng Coughlin, Curtis R Hendricks, Audrey E Crawford, Jacob Crooks, Kristy Giegling, Ina Culver, Erin Fisher, Matthew J Frye, Teresa C George, Hunter Gignoux, Chris R Logue, Mark W Zettergren, Anna Tijms, Betty M Svenningsson, Per Gilliland, Elizabeth K Greene, Casey S Simonsen, Anja H Skoog, Ingmar Hearst, Emily Martin, James L Alam, Shaiful Verma, Anurag Kaufmann, Scott H Aagaard, Bitten Li, Qingqin S Ariannejad, Maryam Berkovich, Yael Boutros, Paul Broudy, Michael Corbett, Anne Bui, Alex Chang, Tim Brumpton, Ben M Kripke, Colleen Morse Djurovic, Srdjan Denny, Chris Pasaniuc, Bogdan Dry, Sarah Duntugan, Albert Hauger, Richard Geschwind, Dan Haas, Roni Illiev, Lora Jain, Ankur Lajonchere, Clara Lichtwarck, Bjørn Risman, Marjorie Knapskog, Anne-Brita den Braber, Anouk Saltvedt, Ingvild Magyar, Clara Martinez, Danielle Mohammed, Ghouse Naeim, Arash Zhang, Rui Nelson, Stan Kirsebom, Bjørn-Eivind Zeng, Jian Judy, Renae Visscher, Peter M Glaser, Gretchen E Sando, Sigrid B Rektorova, Irena O’Reilly, Paul F Mahajan, Anubha Ferreira, Manuel Okada, Yukinori Creese, Byron van der Lee, Sven J Ostrowski, Sisse R Harris, Peter C Frikke-Schmidt, Ruth Stefansson, Hreinn van Harten, Argonde C Yang, Ping Gaziano, J Michael Heilbron, Karl Minois-Genin, Emmanuel Reynolds, Chandra A Andreassen, Ole A Posthuma, Danielle LifeLines Cohort Study Wollack, Colin DBDS Genomic consortium Regeneron Genetics Center Penn Medicine Biobank GHS–RGC DiscovEHR collaboration Mayo Clinic-RGC Project Generation Haavik, Jan Luo, Jiao Vachon, Celine M Colorado Center for Personalized Medicine–RGC Collaboration Harder, Arvid Kern, Silke Lin, Tian UCLA–RGC ATLAS collaboration Hägg, Sara Karlsson, Ida K Johnson, Randi K Schwantes-An, Tae-Hwi Linus Antwi, Samuel O Erikstrup, Christian Mikkelsen, Christina Ballard, Clive Aarsland, Dag Thordardottir, Steinunn Shigemizu, Daichi Rujescu, Dan Snaedal, Jon Jones, Shelby Gudbjartsson, Daniel Eyjolfsdottir, Helga Aakhus, Eivind Sørensen, Erik Oberg, Ann L Stordal, Eystein Duits, Flora H Wolters, Frank J Blanc, Frederic Biessels, Geert Jan Kao, Dave Phung, Tanya N Werge, Thomas Damrauer, Scott Selbæk, Geir Bråthen, Geir Tamiya, Gen Waldemar, Gunhild Rabe, Kari G Seelaar, Harro Vijverberg, Everard GB Knortz, Gabrielle A Sealock, Julia M Patel, Yash Schipper, Marijn Bradford, Yuki Blennow, Kaj Nordengen, Kaja Persson, Karin Scheffler, Katja Matsuda, Koichi Ozaki, Kouichi Lehto, Kelli Pihlstrøm, Lasse Athanasiu, Lavinia Hansen, Thomas F Petruse, Antonia Dudek, Scott Pålhaugen, Lene Pedersen, Ole B Hulsman, Marc Waern, Margda Averina, Maria Koffenberger, Danielle Wettergreen, Marianne Moksnes, Marta R Huisman, Martijn Yamamoto, Masayuki Toft, Mathias Drivas, Theodore Spellman, Paul Panizzon, Matthew S Kyosaka, Tomoki Goode, Ellen L Visser, Pieter J Topholm Bruun, Mie |
| Issue Date: | 28-Oct-2026 |
| Publisher: | Springer Nature |
| Citation: | Uffelmann, E. et al. on behalf of PGC-ALZ et al. (2026) 'Alzheimer’s disease genetics converges on microglial and neuronal dysregulation', Nature, 0(ahead of print), pp. 1–28. doi: 10.1038/s41586-026-11206-y. |
| Abstract: | Alzheimer's disease (AD) is the most common cause of dementia, with global case numbers projected to reach 153 million in 20501. AD is highly heritable, with twin-based heritability estimates of 60-80%2. Although 1,200 causal loci are predicted to exist for AD3, approximately 80 loci have been associated with AD in two recent studies4,5. Low single-nucleotide polymorphism (SNP)-based heritability estimates have prompted the suggestion that little further common-variant risk remains to be found6. Here we analysed data from 109,479 cases, 74,141 proxy cases, 2,131,799 controls and 499,708 proxy controls from diverse ancestries, identifying 118 loci in a multi-ancestry analysis and 9 additional loci in ancestry-specific analyses, 48 of which are new. We identified new AD risk genes, prioritized potential drug targets, and found that genes upregulated in microglia and downregulated in neurons in cases compared with controls were enriched for AD-associated genetic risk. Moreover, we improved polygenic prediction and estimated a SNP heritability of 16%, nearly threefold higher than previous estimates. Together, our findings show that the common-variant contribution to AD has been substantially underestimated, and reveal new molecular and cellular mechanisms as well as specific targets for future drug development research. |
| Description: | Data availability:
Summary statistics are available for download (https://cncr.nl/research/summary_statistics/). This includes the multi-ancestry meta-analysis and ancestry-specific meta-analyses (EUR, AFR, EAS, AMR and SAS), each additionally stratified by sex (male, female) and by phenotype definition (case–control, proxy), as well as X chromosome summary statistics, versions excluding the UKB and a meta-analysis restricted to cohorts not included in previous AD GWAS. All summary statistics exclude data from the 23andMe Research Institute. The majority of individual-level genotype and phenotype data analysed in this study cannot be made publicly available, as they are governed by the consent, data protection and data transfer agreements of the contributing cohorts. Access to individual-level data must be requested directly from each cohort; details for each cohort are provided in the Supplementary Methods. This study used the following publicly available resources: DGIdb v5.0 (https://dgidb.org/); FUMA v1.8.3 (https://fuma.ctglab.nl/); the GWAS Catalog (https://www.ebi.ac.uk/gwas/efotraits/MONDO_0004975, accessed 7 October 2024); MSigDB v2024.1.Hs (https://www.gsea-msigdb.org/gsea/msigdb); SynGO v20231201 (https://www.syngoportal.org/); the BaselineLD model v2.2; 1000 Genomes Project phase 3; HapMap3 and pan-UKB linkage disequilibrium scores (https://pan-dev.ukbb.broadinstitute.org/); and Ensembl BioMart. Cell-type expression data were obtained from Siletti et al.106, the Allen Human Brain Atlas, GSE168408 and PsychENCODE; differential expression data from Nakatsuka et al.37; and microglial state gene sets from Sun et al.110. Summary statistics for amyotrophic lateral sclerosis and Parkinson’s disease were obtained from van Rheenen et al.82 and Nalls et al.26, respectively. UKB data were accessed under application nos. 16406 and 18177. Forest plots for each locus are available on Zenodo9 (https://doi.org/10.5281/zenodo.22791372). Code availability:
Analysis code can be downloaded on GitHub (https://github.com/euffelmann/paper-pgc_alzheimers) and Zenodo9 (https://doi.org/10.5281/zenodo.22791372). Supplementary information is available online at: https://www.nature.com/articles/s41586-026-11206-y#Sec34 . |
| URI: | https://bura.brunel.ac.uk/handle/2438/34131 |
| DOI: | https://doi.org/10.1038/s41586-026-11206-y |
| ISSN: | 0028-0836 |
| Appears in Collections: | Department of Psychology Research Papers *
|