Transethnic meta-analysis of rare coding variants in PLCG2, ABI3, and TREM2 supports their general contribution to Alzheimer’s disease
Open accessAbstract
Rare coding variants in TREM2 , PLCG2 , and ABI3 were recently associated with the susceptibility to Alzheimer’s disease (AD) in Caucasians. Frequencies and AD-associated effects of variants differ across ethnicities. To start filling the gap on AD genetics in South America and assess the impact of these variants across ethnicity, we studied these variants in Argentinian population in association with ancestry. TREM2 (rs143332484 and rs75932628), PLCG2 (rs72824905), and ABI3 (rs616338) were genotyped in 419 AD cases and 486 controls. Meta-analysis with European population was performed. Ancestry was estimated from genome-wide genotyping results. All variants show similar frequencies and odds ratios to those previously reported. Their association with AD reach statistical significance by meta-analysis. Although the Argentinian population is an admixture, variant carriers presented mainly Caucasian ancestry. Rare coding variants in TREM2 , PLCG2 , and ABI3 also modulate susceptibility to AD in populations from Argentina, and they may have a European heritage.
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Loci associated with Alzheimer's disease risk are enriched in genes expressed in microglia.
“Recent genetic studies on Alzheimer’s disease (AD) have brought microglia under the spotlight, as loci associated with AD risk are enriched in genes expressed in microglia.”
From Microglial function, INPP5D/SHIP1 signaling, and NLRP3 inflammasome activation: implications for Alzheimer’s disease (2023) · cites this paper as [4]
The Introduction (page not provided) says four rare AD-associated variants are involved in microglial-mediated innate immunity, supporting a link between AD genetics and microglia. It does not report that AD-risk loci are enriched in genes expressed in microglia; that broader enrichment claim is unsupported by this paper's text. (LLM, conf=0.84)
Experimental — accuracy not yet measuredOver 70 loci are associated with conferring risk for late-onset Alzheimer's disease.
“In recent years, genome wide association studies (GWASs) and analyses of rare-coding variants have identified over 70 loci associated with conferring risk for late-onset AD (LOAD).”
From Microglial function, INPP5D/SHIP1 signaling, and NLRP3 inflammasome activation: implications for Alzheimer’s disease (2023) · cites this paper as [4]
The Introduction (page unavailable) says that more than 20 loci containing common variants have been associated with Alzheimer’s disease and that several rare variants affect susceptibility. It supports the general association, but does not support the claimed total of over 70 loci or specify that total for late-onset disease. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe initial genetic results for P522R and decreased AD risk were replicated by various independent cohorts.
“The initial genetic results were replicated by various independent cohorts (160, 161, 162).”
From The role of PLCγ2 in immunological disorders, cancer, and neurodegeneration (2021) · cites this paper as [162]
The Results report that PLCG2 p.P522R had the same protective direction as the initial IGAP finding in the Argentinian sample and in the European meta-analysis. But the Argentinian result was not statistically significant, nor was the European result alone (Table 3); only the combined analysis reached the reported threshold. The paper therefore supports consistency across populations, not a clear replication by various independent cohorts. (LLM, conf=0.86)
Experimental — accuracy not yet measuredRare variants in PLCG2 and ABI3 have been associated with disease risk.
“For example, rare variants in PLCG2 and ABI3 have been associated with disease risk [130, 141].”
From Genetic architecture of Alzheimer's disease (2020) · cites this paper as [141]
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Cites
Conducting Meta-Analyses in <i>R</i> with the <b>metafor</b> Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464 · see citing works
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
Second-generation PLINK: rising to the challenge of larger and richer datasets
Chang, C. C., Chow, C. C., Tellier, L. C., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015) · Gigascience · doi:10.1186/s13742-015-0047-8 · Cited by 12,709 · see citing works
Fast model-based estimation of ancestry in unrelated individuals
Alexander, D. H., Novembre, J., & Lange, K. (2009) · Genome Research · doi:10.1101/gr.094052.109 · Cited by 9,898 · see citing works
Role of Genes and Environments for Explaining Alzheimer Disease
Gatz, M., Reynolds, C. A., Fratiglioni, L., Johansson, B., Mortimer, J. A., Berg, S., Fiske, A., & Pedersen, N. L. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.2.168 · Cited by 1,798 · see citing works
Data quality control in genetic case-control association studies
Anderson, C. A., Pettersson, F. H., Clarke, G. M., Cardon, L. R., Morris, A. P., & Zondervan, K. T. (2010) · Nature Protocols · doi:10.1038/nprot.2010.116 · Cited by 1,318 · see citing works
ARUK Consortium, Sims, R., GERAD/PERADES, C., van der Lee, S. J., Naj, A. C., Bellenguez, C., Badarinarayan, N., Jakobsdottir, J., Kunkle, B. W., Boland, A., et al. (2017) · Nature Genetics · doi:10.1038/ng.3916 · Cited by 1,126 · see citing works
Self-citationWard, A., Crean, S., Mercaldi, C. J., Collins, J. M., Boyd, D., Cook, M. N., & Arrighi, H. M. (2012) · Neuroepidemiology · doi:10.1159/000334607 · Cited by 349 · see citing works
Galanter, J., Fernández-López, J. C., Gignoux, C. R., Barnholtz‐Sloan, J. S., Fernández–Rozadilla, C., Vía, M., Hidalgo‐Miranda, A., Contreras, A. V., Uribe-Figueroa, L., Raska, P., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002554 · Cited by 294 · see citing works
Bodner, M., Perego, U. A., Huber, G. E., Fendt, L., Röck, A. W., Zimmermann, B., Olivieri, A., Gómez‐Carballa, A., Lancioni, H., Angerhofer, N., et al. (2012) · Genome Research · doi:10.1101/gr.131722.111 · Cited by 191 · see citing works
Genomic variants, genes, and pathways of Alzheimer's disease: An overview
Naj, A. C., & Schellenberg, G. D. (2016) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32499 · Cited by 178 · see citing works
TREM2 is associated with the risk of Alzheimer's disease in Spanish population
Benitez, B. A., Cooper, B., Pastor, P., Jin, S.-C., Lorenzo, E., Cervantes, S., & Cruchaga, C. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.12.018 · Cited by 163 · see citing works
TREM2 is associated with increased risk for Alzheimer’s disease in African Americans
Jin, S. C., Carrasquillo, M. M., Benitez, B. A., Skorupa, T., Carrell, D., Patel, D., Lincoln, S., Krishnan, S., Kachadoorian, M., Reitz, C., et al. (2015) · Molecular Neurodegeneration · doi:10.1186/s13024-015-0016-9 · Cited by 153 · see citing works
Heterogeneity in Genetic Admixture across Different Regions of Argentina
Avena, S. A., Vía, M., Ziv, E., Pérez‐Stable, E. J., Gignoux, C. R., Dejean, C. B., Huntsman, S., Torres-Mejı́a, G., Dutil, J., Matta, J. L., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034695 · Cited by 145 · see citing works
Miyashita, A., Wen, Y., Kitamura, N., Matsubara, E., Kawarabayashi, T., Shoji, M., Tomita, N., Furukawa, K., Arai, H., Asada, T., et al. (2014) · Journal of Alzheimer’s Disease · doi:10.3233/jad-140225 · Cited by 69 · see citing works
TREM2 analysis and increased risk of Alzheimer's disease
Finelli, D., Rollinson, S. J., Harris, J., Jones, M. S., Richardson, A. M. T., Gerhard, A., Snowden, J. S., Mann, D. M. A., & Pickering-Brown, S. M. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.08.001 · Cited by 45 · see citing works
Alzheimer’s disease: rare variants with large effect sizes
Del-Aguila, J. L., Koboldt, D. C., Black, K., Chasse, R., Norton, J., Wilson, R. K., & Cruchaga, C. (2015) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2015.07.008 · Cited by 41 · see citing works
Jacquier, M., Arango, D., Villareal, E., Torres, O., Serrano, M. L., Cruts, M., Montañés, P., Cano, C. A., Rodriguez, M. N., Serneels, S., et al. (2001) · Arquivos de Neuro-Psiquiatria · doi:10.1590/s0004-282x2001000100004 · Cited by 35 · see citing works
Apolipoprotein E4 and tau allele frequencies among Choctaw Indians
Henderson, J. N., Crook, R., Crook, J. E., Hardy, J., Onstead, L., Carson-Henderson, L., Mayer, P., Parker, B., Petersen, R. C., & Williams, B. (2002) · Neuroscience Letters · doi:10.1016/s0304-3940(02)00150-7 · Cited by 34 · see citing works
Huang, M., Wang, D., Xu, Z., Xu, Y., Xu, X., Ma, Y., & Xia, Z. (2015) · American Journal of Alzheimer's Disease & Other Dementias® · doi:10.1177/1533317515577128 · Cited by 25 · see citing works
Apolipoprotein E polymorphism and late onset Alzheimer's disease in Argentina.
Morelli, L., Leoni, J., Castaño, E. M., Mangone, C. A., & Lambierto, A. (1996) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.61.4.426 · Cited by 9 · see citing works
Self-citation[Argentine migration policy and movements of the European population (1876-1925)].
Devoto, F. J. (1989) · PubMed · Cited by 3 · see citing works
Flagged first, then by citations
1 of the 23 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Neuroimmune Connections in Aging and Neurodegenerative Diseases
Scheiblich, H., Trombly, M., Ramirez, A., & Heneka, M. T. (2020) · Trends in Immunology · doi:10.1016/j.it.2020.02.002 · Cited by 166 · see citing works
Dementia in Latin America: Paving the way toward a regional action plan
Parra, M. A., Báez, S., Sedeño, L., Campo, C. G., Santamaría‐García, H. A., Aprahamian, I., Bertolucci, P. H. F., Bustin, J., Bicalho, M. A. C., Cano, C. A., et al. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12202 · Cited by 148 · see citing works
Self-citationGenetic architecture of Alzheimer's disease
Neuner, S. M., TCW, J., & Goate, A. M. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104976 · Cited by 126 · see citing works
“For example, rare variants in PLCG2 and ABI3 have been associated with disease risk (Sims et al., 2017; Dalmasso et al., 2019).”
BackgroundThe role of PLCγ2 in immunological disorders, cancer, and neurodegeneration
Jackson, J. T., Mulazzani, E., Nutt, S. L., & Masters, S. L. (2021) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2021.100905 · Cited by 113 · see citing works
Hoogmartens, J., Cacace, R., & Broeckhoven, C. V. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12155 · Cited by 101 · see citing works
Terzioglu, G., & Young-Pearse, T. L. (2023) · Molecular Neurodegeneration · doi:10.1186/s13024-023-00674-9 · Cited by 95 · see citing works
Phospholipase C families: Common themes and versatility in physiology and pathology
Katan, M., & Cockcroft, S. (2020) · Progress in Lipid Research · doi:10.1016/j.plipres.2020.101065 · Cited by 89 · see citing works
Step by step: towards a better understanding of the genetic architecture of Alzheimer’s disease
Lambert, J.-C., Ramirez, A., Grenier-Boley, B., & Bellenguez, C. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02076-1 · Cited by 87 · see citing works
Self-citation(ADNI), A. D. N. I., Kleineidam, L., Chouraki, V., Próchnicki, T., van der Lee, S. J., Madrid-Márquez, L., Wagner-Thelen, H., Karaca, I., Weinhold, L., Wolfsgruber, S., et al. (2020) · Acta Neuropathologica · doi:10.1007/s00401-020-02138-6 · Cited by 62 · see citing works
Self-citationSingle-cell peripheral immunoprofiling of Alzheimer’s and Parkinson’s diseases
Phongpreecha, T., Fernandez, R., Mrdjen, D., Culos, A., Gajera, C. R., Wawro, A. M., Stanley, N., Gaudilliere, B. L., Poston, K. L., Aghaeepour, N., et al. (2020) · Science Advances · doi:10.1126/sciadv.abd5575 · Cited by 51 · see citing works
Effect of APOE alleles on the glial transcriptome in normal aging and Alzheimer’s disease
Serrano-Pozo, A., Li, Z., Noori, A., Nguyen, H. N., Mezlini, A., Li, L., Hudry, E., Jackson, R. J., Hyman, B. T., & Das, S. (2021) · Nature Aging · doi:10.1038/s43587-021-00123-6 · Cited by 49 · see citing works
Li, R., Wang, X., & He, P. (2021) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2021.9778 · Cited by 39 · see citing works
Challenge accepted: uncovering the role of rare genetic variants in Alzheimer’s disease
Khani, M., Gibbons, E., Bras, J., & Guerreiro, R. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00505-9 · Cited by 39 · see citing works
Obst, J., Hall-Roberts, H. L., Smith, T. B., Kreuzer, M., Magno, L., Di Daniel, E., Davis, J. B., & Mead, E. (2021) · Scientific Reports · doi:10.1038/s41598-021-96144-7 · Cited by 36 · see citing works
Olive, C., Ibanez, L., Farias, F. H. G., Wang, F., Budde, J. P., Norton, J. B., Gentsch, J., Morris, J. C., Li, Z., Dube, U., et al. (2020) · Journal of Alzheimer’s Disease · doi:10.3233/jad-200019 · Cited by 32 · see citing works
Microglia and its Genetics in Alzheimer's Disease
Liang, X., Wu, H., Colt, M., Guo, X., Pluimer, B. R., Zeng, J., Dong, S., & Zhao, Z. (2021) · Current Alzheimer Research · doi:10.2174/1567205018666211105140732 · Cited by 31 · see citing works
Dalmasso, M. C., de Rojas, I., Olivar, N., Muchnik, C., Angel, B., Gloger, S., Sanchez Abalos, M. S., Chacón, M. V., Aránguiz, R., Orellana, P., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13522 · Cited by 28 · see citing works
Self-citationZhao, J., Xu, C., Cao, H., Zhang, L., Wang, X., & Chen, S. (2019) · PeerJ · doi:10.7717/peerj.8324 · Cited by 20 · see citing works
Jayadev, S. (2022) · CONTINUUM Lifelong Learning in Neurology · doi:10.1212/con.0000000000001125 · Cited by 21 · see citing works
Li, K., Ran, B., Wang, Y., Liu, L., & Li, W. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.999061 · Cited by 18 · see citing works
Han, S., Na, Y., Koh, I., Nho, K. T., & Lee, Y. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22189865 · Cited by 16 · see citing works
Horimoto, A. R. V. R., Boyken, L. A., Blue, E., Grinde, K. E., Nafikov, R. A., Sohi, H. K., Nato, A. Q., Bis, J. C., Brusco, L. I., Morelli, L., et al. (2023) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2023.100207 · Cited by 14 · see citing works
Self-citationBeyond Host Defense: Deregulation of Drosophila Immunity and Age-Dependent Neurodegeneration
Arora, S., & Ligoxygakis, P. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01574 · Cited by 14 · see citing works
The relationship of early- and late-onset Alzheimer’s disease genes with COVID-19
Şirin, S., Dolanbay, S. N., & Aslım, B. (2022) · Journal of Neural Transmission · doi:10.1007/s00702-022-02499-0 · Cited by 13 · see citing works
PLCG2 rs72824905 Variant Reduces the Risk of Alzheimer’s Disease and Multiple Sclerosis
Chen, F., Zhang, Y., Wang, L., Wang, T., Han, Z., Zhang, H., Gao, S., Hu, Y., & Liu, G. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201140 · Cited by 9 · see citing works
Senescent microglia: The hidden culprits accelerating Alzheimer’s disease
Li, W., Xie, Y., Jia-Xin, M., Shu-Chao, G., & Li-Ping, H. (2025) · Brain Research · doi:10.1016/j.brainres.2025.149480 · Cited by 9 · see citing works
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Cao, M., Liu, J., Zhang, X., Yang, T., Wang, Y., Hou, Y., Qiao, S., Cui, Y., Wang, Y., & Wang, P. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215635 · Cited by 8 · see citing works
Shin, Y.-C., Plummer-Medeiros, A. M., Mungenast, A., Choi, H.-W., TenDyke, K., Zhu, X., Shepard, J., Sanders, K., Zhuang, N., Hu, L., et al. (2024) · Science Advances · doi:10.1126/sciadv.adn6037 · Cited by 7 · see citing works
PLCG2 as a Risk Factor for Alzheimer's Disease.
Tsai, A. P., Dong, C., Preuss, C., Moutinho, M., Lin, P. B.-C., Hajicek, N., Sondek, J., Bissel, S. J., Oblak, A. L., Carter, G. W., et al. (2020) · doi:10.21203/rs.3.rs-38216/v1 · Cited by 7 · see citing works
Turner, A. K., Shaw, B. C., Simpson, J. F., & Estus, S. (2022) · Genes · doi:10.3390/genes13091607 · Cited by 7 · see citing works
Rikos, D., Siokas, V., Mentis, A. A., Aloizou, A., Liampas, I., Tsouris, Z., Peristeri, E., Stamati, P., Hadjigeorgiou, G. M., & Dardiotis, E. (2022) · International Journal of Neuroscience · doi:10.1080/00207454.2022.2150844 · Cited by 5 · see citing works
TREM2 coding variants in Slovak Alzheimer's disease patients
Ďurmanová, V., Javor, J., Párnická, Z., Minárik, G., Ocenasova, A., Vašečková, B., Kiralyova, I., Šutovský, S., Petrovič, R., & Shawkatová, I. (2022) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2104105 · Cited by 5 · see citing works
(2020) · doi:10.1101/2020.05.19.104216 · Cited by 5 · see citing works
Carr, A. J., Hajicek, N., Tsai, A. P., Acharya, P. P., Hardy, P. B., Meyer, E. G., Wyss‐Coray, T., Pearce, K. H., Sondek, J., & Zhang, Q. (2025) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2025.108356 · Cited by 5 · see citing works
Visvanathan, R., Utsuki, T., Beck, D. E., Lendy, E. K., Sun, K.-L., Liu, Y., Hering, K. W., Mesecar, A. D., Zhang, Z., & Putt, K. S. (2023) · SLAS DISCOVERY · doi:10.1016/j.slasd.2023.03.003 · Cited by 3 · see citing works
Amyloid‐Related Imaging Abnormality (ARIA) Beyond the APOE‐ε4 Allele
Besin, V., Humardani, F. M., Yudiarto, F. L., Ong, P. A., Putra, S. E. D., & Ningrum, R. A. (2025) · Chronic Diseases and Translational Medicine · doi:10.1002/cdt3.70006 · Cited by 2 · see citing works
Visvanathan, R., Utsuki, T., Beck, D. E., Clayton, B., Lendy, E. K., Sun, K.-L., Liu, Y., Hering, K. W., Mesecar, A. D., Zhang, Z., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0299541 · Cited by 2 · see citing works
PLCG2 as a Risk Factor for Alzheimer's DiseasePreprint
Tsai, A. P., Dong, C., Preuß, C., Moutinho, M., Lin, P. B., Hajicek, N., Sondek, J., Bissel, S. J., Oblak, A. L., Carter, G. W., et al. (2020) · doi:10.21203/rs.3.rs-33082/v1 · Cited by 2 · see citing works
Ruíz Moleón, V., Fotouhi, M., Alende, C., Ayoubi, R., Bedford, L. M., Southern, K., Richardson, T. I., Laflamme, C., NeuroSGC/YCharOS/EDDU collaborative group, & ABIF consortium (2024) · F1000Research · doi:10.12688/f1000research.146156.1 · Cited by 1 · see citing works
Koivumäki, M., Martiskainen, H., Takalo, M., Lehtisalo, J., Ngandu, T., FinnGen, Snellman, A., Hiltunen, M. O., & Rinne, J. O. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-01984-y · Cited by 1 · see citing works
First GWAS on Alzheimer’s Disease in Argentina and Chile populationsPreprint
Dalmasso, M. C., de Rojas, I., Olivar, N., Muchnik, C., Bárbara Angel, B., Gloger, S., Abalos, M. S. S., Chacón, M. V., Aránguiz, R., Orellana, P., et al. (2023) · medRxiv · doi:10.1101/2023.01.16.23284609 · Cited by 1 · see citing works
Self-citationKoivumäki, M., Martiskainen, H., Takalo, M., Lehtisalo, J., Ngandu, T., Snellman, A., Hiltunen, M., & Rinne, J. O. (2025) · doi:10.21203/rs.3.rs-7823342/v1
Genetics of PLCG2 expression and splicing relative to Alzheimer’s disease risk
Turner, A. K., Dotson, K., Qiao, Q., Cain, K., Simpson, J. F., Fardo, D. W., & Estus, S. (2025) · Molecular Neurodegeneration Advances · doi:10.1186/s44477-025-00007-8
PLCG2 signaling and genetic resilience in Alzheimer’s disease
Tsai, A. P., Martin, A. K., Mi, A., Yeh, A. E., Ramirez Lopez, E., & Wyss-Coray, T. (2026) · Molecular Neurodegeneration · doi:10.1186/s13024-026-00935-3
GeNED.ar cohort: Neuroimaging resource for aging studies in an admixed population from Argentina
Vallejo-Azar, M. N., Freccero, P., Postillone, M. B., Princich, J. P., Solis, P. C. L., Medel, N., Lisso, J., Irureta, N., Morganti, S., Fernández, J., et al. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.122117
Self-citationSolis, P. C. L., Mintz, I., Medel, N., Sevillano, Z., Lisso, J., Irureta, N., Zalazar-Jaime, M. F., Giagante, B., Dalmasso, M. C., & Kochen, S. (2026) · Frontiers in Dementia · doi:10.3389/frdem.2026.1881788
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- Authors
- Dalmasso, M. C., Brusco, L. I., Olivar, N., Muchnik, C., Hanses, C., Milz, E., Becker, J., Heilmann-Heimbach, S., Hoffmann, P., Prestia, F. A., Galeano, P., Avalos, M. S. S., Martinez, L. E., Carulla, M. E., Azurmendi, P. J., Liberczuk, C., Fezza, C., Sampaño, M., Fierens, M., Jemar, G., Solis, P., Medel, N., Lisso, J., Sevillano, Z., Bosco, P., Bossù, P., Spalletta, G., Galimberti, D., Mancuso, M., Nacmias, B., Sorbi, S., Mecocci, P., Pilotto, A., Caffarra, P., Panza, F., Bullido, M., Clarimon, J., Sánchez-Juan, P., Coto, E., Sanchez-Garcia, F., Graff, C., Ingelsson, M., Bellenguez, C., Castaño, E. M., Kairiyama, C., Politis, D. G., Kochen, S., Scaro, H., Maier, W., Jessen, F., Mangone, C. A., Lambert, J.-C., Morelli, L., & Ramirez, A.
- Affiliations
- Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
- Universidad de Buenos Aires (AR)
- University of Bonn (DE)
- University of Cologne (DE)
- Oasi Maria SS (IT)
- Fondazione Santa Lucia (IT)
- University of Milan (IT)
- University of Pisa (IT)
- University of Florence (IT)
- University of Perugia (IT)
- Casa Sollievo della Sofferenza (IT)
- University of Parma (IT)
- University of Bari Aldo Moro (IT)
- Consejo Superior de Investigaciones Científicas (ES)
- Karolinska University Hospital (SE)
- Uppsala University (SE)
- Inserm (FR)
- Ministerio de Salud (AR)
- Corresponding author
- Morelli, Laura
- ORCID
- Brusco, Luis Ignacio
- Olivar, Natividad
- Muchnik, Carolina
- Hoffmann, Per
- Galeano, Pablo
- Azurmendi, Pablo Javier
- Solis, Patricia
- Medel, Nancy
- Bosco, Paolo
- Bossù, Paola
- Spalletta, Gianfranco
- Galimberti, Daniela
- Mancuso, Michelangelo
- Nacmias, Benedetta
- Sorbi, Sandro
- Mecocci, Patrizia
- Caffarra, Paolo
- Panza, Francesco
- Bullido, Maria
- Graff, Caroline
- Ingelsson, Martin
- Bellenguez, Céline
- Kairiyama, Claudia
- Politis, Daniel Gustavo
- Kochen, Silvia
- Jessen, Frank
- Lambert, Jean-Charles
- Morelli, Laura
- Ramirez, Alfredo
- Venue
- Translational Psychiatry
- Published
- 2019-01-31
- Volume
- 9
- Issue
- 1
- Pages
- 55-55
- ISSN
- 2158-3188 (ISSN-L)
- PMC
- PMC6355764
- OpenAlex
- W2913240459
- Cited by
- 51
- References
- 23
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 3 · 2023: 6 · 2022: 8 · 2021: 8 · 2020: 10 · 2019: 6 · 2018: 1
- FWCI
- 0.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Translational Psychiatry (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, cc-by)
- Kölner Universitäts PublikationsServer (Universität zu Köln) (acceptedVersion)
- Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) (submittedVersion, cc-by)
- Florence Research (University of Florence) (submittedVersion, other-oa)
- Uppsala University Publications (Uppsala University) (submittedVersion, other-oa)
- HAL (submittedVersion)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Hispana (submittedVersion)
- LillOA (Université de Lille (University Of Lille)) (submittedVersion, other-oa)
- DZNE Pub (submittedVersion, other-oa)
- Biblos-e Archivo (Universidad Autónoma de Madrid) (submittedVersion, public-domain)
- UCrea (University of Cantabria) (submittedVersion, cc-by)
- Conicet (submittedVersion, cc-by-nc-sa)
- CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion, cc-by)
- Funders
- Bundesministerium für Bildung und Forschung (01ED1619A)
- Alexander von Humboldt-Stiftung (Georg Forster Research Award)
- Ministry of Science, Technology and Productive Innovation, Argentina | Agencia Nacional de Promoción Científica y Tecnológica (PICT-2014-1537, PICT-2015-0285, PICT-2016-4647)
- Ministry of Science, Technology and Productive Innovation, Argentina | National Agency for Science and Technology, Argentina | Fondo para la Investigación Científica y Tecnológica (PBIT/09 2013)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- Alzheimer's disease, rare coding variants, TREM2, PLCγ2, ABI3, genetic susceptibility, admixture, ancestry, European ancestry
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Argentina, Female, Genotype, Humans, Indians, North American, Male, Membrane Glycoproteins, Middle Aged, Receptors, Immunologic, Genetic Variation, Genetic Predisposition to Disease, Black People, White People, Adaptor Proteins, Signal Transducing, Phospholipase C gamma, Genome-Wide Association Study
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