Dissecting the genetic relationship between cardiovascular risk factors and Alzheimer’s disease
Open accessAbstract
Cardiovascular (CV)- and lifestyle-associated risk factors (RFs) are increasingly recognized as important for Alzheimer's disease (AD) pathogenesis. Beyond the ε4 allele of apolipoprotein E (APOE), comparatively little is known about whether CV-associated genes also increase risk for AD. Using large genome-wide association studies and validated tools to quantify genetic overlap, we systematically identified single nucleotide polymorphisms (SNPs) jointly associated with AD and one or more CV-associated RFs, namely body mass index (BMI), type 2 diabetes (T2D), coronary artery disease (CAD), waist hip ratio (WHR), total cholesterol (TC), triglycerides (TG), low-density (LDL) and high-density lipoprotein (HDL). In fold enrichment plots, we observed robust genetic enrichment in AD as a function of plasma lipids (TG, TC, LDL, and HDL); we found minimal AD genetic enrichment conditional on BMI, T2D, CAD, and WHR. Beyond APOE, at conjunction FDR < 0.05 we identified 90 SNPs on 19 different chromosomes that were jointly associated with AD and CV-associated outcomes. In meta-analyses across three independent cohorts, we found four novel loci within MBLAC1 (chromosome 7, meta-p = 1.44 × 10-9), MINK1 (chromosome 17, meta-p = 1.98 × 10-7) and two chromosome 11 SNPs within the MTCH2/SPI1 region (closest gene = DDB2, meta-p = 7.01 × 10-7 and closest gene = MYBPC3, meta-p = 5.62 × 10-8). In a large 'AD-by-proxy' cohort from the UK Biobank, we replicated three of the four novel AD/CV pleiotropic SNPs, namely variants within MINK1, MBLAC1, and DDB2. Expression of MBLAC1, SPI1, MINK1 and DDB2 was differentially altered within postmortem AD brains. Beyond APOE, we show that the polygenic component of AD is enriched for lipid-associated RFs. We pinpoint a subset of cardiovascular-associated genes that strongly increase the risk for AD. Our collective findings support a disease model in which cardiovascular biology is integral to the development of clinical AD in a subset of individuals.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
These loci have previously been identified as genome-wide significant for AD in recent single-trait AD GWAS.
“All of these loci are novel pleiotropic loci between AD and the respective cardiometabolic traits, but have previously been identified as genome-wide significant for AD in recent single-trait AD GWAS [4, 17, 31].”
From Multi-trait association studies discover pleiotropic loci between Alzheimer’s disease and cardiometabolic traits (2021) · cites this paper as [4]
The Results (page unavailable) link some loci to previously reported AD variants, including one in the CELF1 region. But the paper calls four AD-associated loci novel, and three did not reach genome-wide significance in its meta-analysis. It therefore does not support the claim that all the loci had previously been genome-wide significant in single-trait AD GWAS. (LLM, conf=0.84)
Experimental — accuracy not yet measuredMany cardiometabolic traits are genetically correlated with one another.
“Due to the epidemiological correlation between AD and cardiometabolic traits, coupled with the fact that many cardiometabolic traits are genetically correlated with one another, additional broader-scale pleiotropic studies are warranted, and recently the field has begun to do so [4, 11].”
From Multi-trait association studies discover pleiotropic loci between Alzheimer’s disease and cardiometabolic traits (2021) · cites this paper as [4]
The biological mechanisms behind the positive epidemiological correlation between Alzheimer's disease and cardiometabolic traits are not well understood.
“Studies have consistently found a positive epidemiological correlation between Alzheimer’s disease (AD) and cardiometabolic traits, yet the biological mechanisms behind this correlation is not well understood [1–4].”
From Multi-trait association studies discover pleiotropic loci between Alzheimer’s disease and cardiometabolic traits (2021) · cites this paper as [4]
There is a positive epidemiological correlation between Alzheimer's disease and cardiometabolic traits.
“Studies have consistently found a positive epidemiological correlation between Alzheimer’s disease (AD) and cardiometabolic traits, yet the biological mechanisms behind this correlation is not well understood [1–4].”
From Multi-trait association studies discover pleiotropic loci between Alzheimer’s disease and cardiometabolic traits (2021) · cites this paper as [4]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Dementia prevention, intervention, and care
Livingston, G., Sommerlad, A., Orgeta, V., Costafreda, S. G., Huntley, J., Ames, D., Ballard, C., Banerjee, S., Burns, A., Cohen-Mansfield, J., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31363-6 · Cited by 6,072 · see citing works
Meta-Analysis of 74,046 Individuals Identifies 11 New Susceptibility Loci for Alzheimer’s Disease
(EADI), E. A. D. I., Lambert, J.-C., (GERAD), G. A. E. R. I. A. D., Alzheimer's Disease Genetic Consortium (ADGC), (CHARGE), C. F. H. A. A. R. I. G. E., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2802 · Cited by 4,336 · see citing works
Self-citationAn atlas of genetic correlations across human diseases and traits
ReproGen Consortium, Bulik-Sullivan, B., Psychiatric Genomics Consortium, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3, Finucane, H. K., Anttila, V., Gusev, A., Day, F. R., Loh, P.-R., Duncan, L., et al. (2015) · Nature Genetics · doi:10.1038/ng.3406 · Cited by 4,255 · see citing works
Fagerberg, L., Hallström, B. M., Oksvold, P., Kampf, C., Djureinovic, D., Odeberg, J., Habuka, M., Tahmasebpoor, S., Danielsson, A., Edlund, K., et al. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.035600 · Cited by 3,665 · see citing works
Willer (2013) · doi:10.1038/ng.2797 · Cited by 2,983 · see citing works
The projected effect of risk factor reduction on Alzheimer's disease prevalence
Barnes, D. E., & Yaffe, K. S. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70072-2 · Cited by 2,668 · see citing works
Self-citationPotential for primary prevention of Alzheimer's disease: an analysis of population-based data
Norton, S., Matthews, F. E., Barnes, D. E., Yaffe, K., & Brayne, C. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70136-x · Cited by 2,466 · see citing works
Self-citationYengo, L., Sidorenko, J., Kemper, K. E., Zheng, Z., Wood, A. R., Weedon, M. N., Frayling, T. M., Hirschhorn, J. N., Yang, J., & Visscher, P. M. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy271 · Cited by 2,305 · see citing works
Systematic identification of trans eQTLs as putative drivers of known disease associations
Westra, H.-J., Peters, M. J., Esko, T., Yaghootkar, H., Schurmann, C., Kettunen, J., Christiansen, M. W., Fairfax, B. P., Schramm, K., Powell, J. E., et al. (2013) · Nature Genetics · doi:10.1038/ng.2756 · Cited by 1,658 · see citing works
Pulit, S. L., Harlow, C. E., Morris, A. P., Wood, A. R., Glastonbury, C. A., Tyrrell, J., Yengo, L., Ferreira, T. C., Marouli, E., Ji, Y., et al. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy327 · Cited by 1,169 · see citing works
Self-citationARUK 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
Linking lipids to Alzheimer's disease: cholesterol and beyond
Di Paolo, G., & Kim, T.-W. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3012 · Cited by 972 · see citing works
Ray, U., & Das, S. (2011) · Scientific Reports · doi:10.1038/srep00001 · Cited by 892 · see citing works
Common genetic variants influence human subcortical brain structures
Initiative, T. A. D. N., Hibar, D. P., The CHARGE Consortium, EPIGEN, IMAGEN, SYS, Stein, J. L., Renteria, M. E., Arias-Vasquez, A., Desrivières, S., et al. (2015) · Nature · doi:10.1038/nature14101 · Cited by 858 · see citing works
The overlap between vascular disease and Alzheimer’s disease - lessons from pathology
Attems, J., & Jellinger, K. A. (2014) · BMC Medicine · doi:10.1186/s12916-014-0206-2 · Cited by 739 · see citing works
Meta-analysis of Alzheimer’s disease risk with obesity, diabetes, and related disorders
Profenno, L. A., Porsteinsson, A. P., & Faraone, S. V. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.02.013 · Cited by 718 · see citing works
Cholesterol metabolism and homeostasis in the brain
Zhang, J., & Liu, Q. (2015) · Protein & Cell · doi:10.1007/s13238-014-0131-3 · Cited by 686 · see citing works
Diabetes Mellitus and Risk of Alzheimer's Disease and Dementia with Stroke in a Multiethnic Cohort
Luchsinger, J. A. (2001) · American Journal of Epidemiology · doi:10.1093/aje/154.7.635 · Cited by 682 · see citing works
Association analyses based on false discovery rate implicate new loci for coronary artery disease
Nelson, C. P., CARDIoGRAMplusC4D, Goel, A., Butterworth, A. S., Kanoni, S., Webb, T. R., Marouli, E., Zeng, L., Ντάλλα, Ι., Lai, F. Y., et al. (2017) · Nature Genetics · doi:10.1038/ng.3913 · Cited by 663 · see citing works
Genetic variability in the regulation of gene expression in ten regions of the human brain
UK Brain Expression Consortium, Ramasamy, A., North American Brain Expression Consortium, Trabzuni, D., Guelfi, S., Varghese, V., Smith, C., Walker, R., De, T., Coin, L., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3801 · Cited by 644 · see citing works
Some Statistical Methods for Combining Experimental Results
Laird, N. M., & Mosteller, F. C. (1990) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462300008916 · Cited by 568 · see citing works
Oxidized phospholipids are proinflammatory and proatherogenic in hypercholesterolaemic mice
Que, X., Hung, M.-Y., Yeang, C., Gonen, A., Prohaska, T. A., Sun, X., Diehl, C., Määttä, A., Gaddis, D. E., Bowden, K., et al. (2018) · Nature · doi:10.1038/s41586-018-0198-8 · Cited by 529 · see citing works
Central Nervous System Lipoproteins: ApoE and Regulation of Cholesterol Metabolism
Mahley, R. W. (2016) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.116.307023 · Cited by 516 · see citing works
Andreassen, O. A., Djurovic, S., Thompson, W. K., Schork, A. J., Kendler, K. S., O’Donovan, M. C., Rujescu, D., Werge, T., van de Bunt, M., Morris, A. P., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.01.001 · Cited by 506 · see citing works
Self-citationOne Hundred Years of Pleiotropy: A Retrospective
Stearns, F. W. (2010) · Genetics · doi:10.1534/genetics.110.122549 · Cited by 484 · see citing works
Mahajan, A., Wessel, J., Willems, S. M., Zhao, W., Robertson, N. R., Chu, A. Y., Gan, W., Kitajima, H., Taliun, D., Rayner, N. W., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0084-1 · Cited by 442 · see citing works
Allen, M., Carrasquillo, M. M., Funk, C., Heavner, B. D., Zou, F., Younkin, C. S., Burgess, J. D., Chai, H.-S., Crook, J., Eddy, J. A., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.89 · Cited by 439 · see citing works
A common haplotype lowers PU.1 expression in myeloid cells and delays onset of Alzheimer's disease
The International Genomics of Alzheimer's Project, Huang, K.-L., Initiative, T. A. D. N., Marcora, E., Pimenova, A. A., Di Narzo, A. F., Kapoor, M., Jin, S. C., Harari, O., Bertelsen, S., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4587 · Cited by 423 · see citing works
Self-citationAndreassen, O. A., Thompson, W. K., Schork, A. J., Ripke, S., Mattingsdal, M., Kelsoe, J. R., Kendler, K. S., O’Donovan, M. C., Rujescu, D., Werge, T. M., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003455 · Cited by 402 · see citing works
Self-citationDesikan, R. S., Fan, C. C., Wang, Y., Schork, A. J., Cabral, H. J., Cupples, L. A., Thompson, W. K., Besser, L., Kukull, W. A., Holland, D., et al. (2017) · PLoS Medicine · doi:10.1371/journal.pmed.1002258 · Cited by 395 · see citing works
Self-citationModifiable pathways in Alzheimer’s disease: Mendelian randomisation analysis
Larsson, S. C., Traylor, M., Malik, R., Dichgans, M., Burgess, S., & Markus, H. S. (2017) · BMJ · doi:10.1136/bmj.j5375 · Cited by 382 · see citing works
Emdin, C. A., Khera, A. V., Natarajan, P., Klarin, D., Zekavat, S. M., Hsiao, A. J., & Kathiresan, S. (2017) · JAMA · doi:10.1001/jama.2016.21042 · Cited by 378 · see citing works
The impact of low-frequency and rare variants on lipid levels
ENGAGE Consortium, Surakka, I., Horikoshi, M., Mägi, R., Sarin, A.-P., Mahajan, A., Lagou, V., Marullo, L., Ferreira, T., Miraglio, B., et al. (2015) · Nature Genetics · doi:10.1038/ng.3300 · Cited by 351 · see citing works
A novel Alzheimer disease locus located near the gene encoding tau protein
Jun, G., Ibrahim-Verbaas, C. A., Vronskaya, M., Lambert, J.-C., Chung, J., Naj, A. C., Kunkle, B. W., Wang, L.-S., Bis, J. C., Bellenguez, C., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.23 · Cited by 297 · see citing works
Self-citationRietveld, C. A., Esko, T., Davies, G., Pers, T. H., Turley, P., Benyamin, B., Chabris, C. F., Emilsson, V., Johnson, A. D., Lee, J. J., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1404623111 · Cited by 258 · see citing works
Østergaard, S. D., Mukherjee, S., Sharp, S. J., Proitsi, P., Lotta, L. A., Day, F., Perry, J. R. B., Boehme, K. L., Walter, S., Kauwe, J. S., et al. (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001841 · Cited by 203 · see citing works
Dyslipidemia and the Risk of Alzheimer’s Disease
Reitz, C. (2013) · Current Atherosclerosis Reports · doi:10.1007/s11883-012-0307-3 · Cited by 190 · see citing works
Broce, I., Karch, C. M. M., Wen, N., Fan, C. C., Wang, Y., Tan, C. H., Kouri, N., Ross, O. A., Höglinger, G. U., Müller, U., et al. (2018) · PLoS Medicine · doi:10.1371/journal.pmed.1002487 · Cited by 184 · see citing works
Self-citationAssociation between genetic traits for immune-mediated diseases and Alzheimer disease
Yokoyama, J. S., Wang, Y., Schork, A. J., Thompson, W. K., Karch, C. M., Cruchaga, C., McEvoy, L. K., Witoelar, A., Chen, C.-H., Holland, D., et al. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.0150 · Cited by 176 · see citing works
Self-citationYu, C., Seltman, H. J., Peskind, E. R., Galloway, N. M., Zhou, P. X., Rosenthal, E. A., Wijsman, E. M., Tsuang, D. W., Devlin, B., & Schellenberg, G. D. (2007) · Genomics · doi:10.1016/j.ygeno.2007.02.002 · Cited by 155 · see citing works
Self-citationImbalanced cholesterol metabolism in Alzheimer's disease
Xue-shan, Z., Peng, J., Wu, Q., Zhong, R., Li-hong, P., Tang, Z., Jiang, Z., Wang, G., & Liu, L. (2016) · Clinica Chimica Acta · doi:10.1016/j.cca.2016.02.024 · Cited by 155 · see citing works
Apfeltyp erhöht Diabetes- und KHK-Risiko
(2017) · DMW - Deutsche Medizinische Wochenschrift · doi:10.1055/s-0043-103789 · Cited by 142 · see citing works
Genetic overlap between Alzheimer’s disease and Parkinson’s disease at the MAPT locus
Desikan, R. S., Schork, A. J., Wang, Y., Witoelar, A., Sharma, M., McEvoy, L. K., Holland, D., Brewer, J. B., Chen, C., Thompson, W. K., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.6 · Cited by 141 · see citing works
Self-citationPolygenic Overlap Between C-Reactive Protein, Plasma Lipids, and Alzheimer Disease
Desikan, R. S., Schork, A. J., Wang, Y., Thompson, W. K., Dehghan, A., Ridker, P. M., Chasman, D. I., McEvoy, L. K., Holland, D., Chen, C.-H., et al. (2015) · Circulation · doi:10.1161/circulationaha.115.015489 · Cited by 135 · see citing works
Self-citationThe genetic landscape of Alzheimer disease
Carmona, S., Hardy, J., & Guerreiro, R. J. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64076-5.00026-0 · Cited by 133 · see citing works
Boosting the Power of Schizophrenia Genetics by Leveraging New Statistical Tools
Andreassen, O. A., Thompson, W. K., & Dale, A. M. (2013) · Schizophrenia Bulletin · doi:10.1093/schbul/sbt168 · Cited by 112 · see citing works
Self-citationAlzheimer’s disease risk polymorphisms regulate gene expression in the ZCWPW1 and the CELF1 loci
Karch, C. M., Ezerskiy, L. A., Bertelsen, S., Alzheimer’s Disease Genetics Consortium (ADGC), & Goate, A. M. (2016) · PLoS ONE · doi:10.1371/journal.pone.0148717 · Cited by 111 · see citing works
Self-citationPulit, S. L., Harlow, C. E., Morris, A. P., Wood, A. R., Glastonbury, C. A., Tyrrell, J., Yengo, L., Ferreira, T. C., Marouli, E., Ji, Y., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/304030 · Cited by 109 · see citing works
Self-citationVitali, P., Migliaccio, R., Agosta, F., Rosen, H., & Geschwind, M. D. (2008) · Seminars in Neurology · doi:10.1055/s-0028-1083695 · Cited by 103 · see citing works
Staffaroni, A., Elahi, F., McDermott, D., Marton, K., Karageorgiou, E., Sacco, S., Paoletti, M., Caverzasi, E., Hess, C., Rosen, H., et al. (2017) · Seminars in Neurology · doi:10.1055/s-0037-1608808 · Cited by 91 · see citing works
Self-citationSteele, N. Z. R., Carr, J. S., Bonham, L. W., Geier, E. G., Damotte, V., Miller, Z. A., Desikan, R. S., Boehme, K. L., Mukherjee, S., Crane, P. K., et al. (2017) · PLOS Medicine · doi:10.1371/journal.pmed.1002272 · Cited by 91 · see citing works
Self-citationDammer, E. B., Lee, A. K., Duong, D. M., Gearing, M., Lah, J. J., Levey, A. I., & Seyfried, N. T. (2014) · PROTEOMICS · doi:10.1002/pmic.201400189 · Cited by 80 · see citing works
Kuźma, E., Hannon, E. J., Zhou, A., Lourida, I., Bethel, A. C., Levine, D. A., Lunnon, K., Coon, J. T., Hyppönen, E., & Llewellyn, D. J. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180013 · Cited by 59 · see citing works
Mukherjee, S., Walter, S., Kauwe, J. S. K., Saykin, A. J., Bennett, D. A., Larson, E. B., Crane, P. K., Glymour, M. M., Adult Changes in Thought Study Investigators, & Religious Orders Study/Memory and Aging Project Investigators (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.05.015 · Cited by 55 · see citing works
Self-citationShared common variants in prostate cancer and blood lipids
Andreassen, O. A., Zuber, V., Thompson, W. K., Schork, A. J., Bettella, F., GWAS, A. T. C., Djurovic, S., Desikan, R. S., Mills, I. G., & Dale, A. M. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu090 · Cited by 47 · see citing works
Self-citationGenetic meta-analysis identifies 9 novel loci and functional pathways for Alzheimer’s disease riskPreprint
Jansen, I. E., Savage, J. E., Watanabe, K., Bryois, J., Williams, D. M., Steinberg, S., Sealock, J., Karlsson, I., Hägg, S., Athanasiu, L., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/258533 · Cited by 33 · see citing works
Self-citationSparks, D. L. (2007) · Current Alzheimer Research · doi:10.2174/156720507780362119 · Cited by 30 · see citing works
Genetic susceptibility to cardiovascular disease and risk of dementia
Karlsson, I., Ploner, A., Song, C., Gatz, M., Pedersen, N. L., & Hägg, S. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.110 · Cited by 21 · see citing works
Grace, C., Clarke, R., Goel, A., Farrall, M., Watkins, H. C., & Hopewell, J. C. (2018) · Scientific Reports · doi:10.1038/s41598-018-25460-2 · Cited by 20 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [30]National Academies of Sciences, Engineering, and Medicine, Health and Medicine Division, Board on Health Sciences Policy, Committee on Preventing Dementia and Cognitive Impairment (2017) Preventing cognitive decline and dementia: a way forward. In: Downey A, Stroud C, Landis S, Leshner AI (eds) National Academies Press, Washington DC http://www.ncbi.nlm.nih.gov/books/NBK436397/. Accessed 17 Apr 2018 28650595
Cited by
Sorted by citations
Discovery of shared genomic loci using the conditional false discovery rate approach
Smeland, O. B., Frei, O., Shadrin, A. A., O’Connell, K. S., Fan, C. C., Bahrami, S., Holland, D., Djurovic, S., Thompson, W. K., Dale, A. M., et al. (2019) · Human Genetics · doi:10.1007/s00439-019-02060-2 · Cited by 249 · see citing works
Self-citationHeart-brain connections: Phenotypic and genetic insights from magnetic resonance images
Zhao, B., Li, T., Fan, Z., Yang, Y., Shu, J., Yang, X., Wang, X., Luo, T., Tang, J., Xiong, D., et al. (2023) · Science · doi:10.1126/science.abn6598 · Cited by 232 · see citing works
Combustion- and friction-derived magnetic air pollution nanoparticles in human hearts
Calderón‐Garcidueñas, L., González-Maciel, A., Mukherjee, P. S., Reynoso-Robles, R., Pérez-Guillé, B., Gayosso-Chávez, C., Torres‐Jardón, R., Cross, J. V., Ahmed, I. A. M., Karloukovski, V. V., et al. (2019) · Environmental Research · doi:10.1016/j.envres.2019.108567 · Cited by 204 · see citing works
Impact of High Altitude on Cardiovascular Health: Current Perspectives
Mallet, R. T., Burtscher, J., Richalet, J., Millet, G. P., & Burtscher, M. (2021) · Vascular Health and Risk Management · doi:10.2147/vhrm.s294121 · Cited by 200 · see citing works
Moreno–Grau, S., de Rojas, I., Hernández, I., Quintela, I., Montrreal, L., Alegret, M., Hernández‐Olasagarre, B., Madrid, L., González‐Pérez, A., Maroñas, O., et al. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2019.06.4950 · Cited by 156 · see citing works
Magusali, N., Graham, A. C., Piers, T. M., Panichnantakul, P., Yaman, U., Shoai, M., Reynolds, R. H., Botia, J. A., Brookes, K. J., Guetta-Baranes, T., et al. (2021) · Brain · doi:10.1093/brain/awab337 · Cited by 111 · see citing works
“Also in the same locus is OAS2, which was independently shown to be associated with Alzheimer’s disease.(95,96) Recent work has identified other SNPs close to this locus associated with severe”
BackgroundCerebrovascular disease promotes tau pathology in Alzheimer’s disease
Laing, K. K., Simoes, S., Baena-Caldas, G. P., Lao, P. J., Kothiya, M., Igwe, K. C., Chesebro, A. G., Houck, A. L., Pedraza, L., Hernandez, A. I., et al. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa132 · Cited by 93 · see citing works
Polygenic hazard score, amyloid deposition and Alzheimer’s neurodegeneration
Tan, C. H., Bonham, L. W., Fan, C. C., Mormino, E. C., Sugrue, L. P., Broce, I., Hess, C. P., Yokoyama, J. S., Rabinovici, G. D., Miller, B. L., et al. (2018) · Brain · doi:10.1093/brain/awy327 · Cited by 87 · see citing works
Self-citationApolipoprotein E4 and meningeal lymphatics in Alzheimer disease: a conceptual framework
Mentis, A. A., Dardiotis, E., & Chrousos, G. P. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0731-7 · Cited by 82 · see citing works
Complement System in Alzheimer’s Disease
Shah, A., Kishore, U., & Shastri, A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222413647 · Cited by 76 · see citing works
Carmona‐Iragui, M., Videla, L., Lleó, A., & Fortea, J. (2019) · Developmental Neurobiology · doi:10.1002/dneu.22709 · Cited by 64 · see citing works
Gockley, J., Montgomery, K. S., Poehlman, W. L., Wiley, J. C., Liu, Y., Gerasimov, E. S., Greenwood, A. K., Sieberts, S. K., Wingo, A. P., Wingo, T. S., et al. (2021) · Genome Medicine · doi:10.1186/s13073-021-00890-2 · Cited by 60 · see citing works
Rivera‐Rivera, L. A., Cody, K. A., Eisenmenger, L. B., Cary, P., Rowley, H. A., Carlsson, C. M., Johnson, S. C., & Johnson, K. M. (2020) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x20910302 · Cited by 62 · see citing works
Progress in Polygenic Composite Scores in Alzheimer’s and Other Complex Diseases
Chasioti, D., Yan, J., Nho, K. T., & Saykin, A. J. (2019) · Trends in Genetics · doi:10.1016/j.tig.2019.02.005 · Cited by 59 · see citing works
Statins and cognition: Modifying factors and possible underlying mechanisms
Jamshidnejad-Tosaramandani, T., Kashanian, S., Al-Sabri, M. H., Kročianová, D., Clemensson, L. E., Gentreau, M., & Schiöth, H. B. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.968039 · Cited by 59 · see citing works
Li, J., Zhao, R., Jiang, Y., Xu, Y., Zhao, H., Lyu, X., & Wu, T. (2020) · Food & Function · doi:10.1039/c9fo02103e · Cited by 56 · see citing works
Polygenic risk and pleiotropy in neurodegenerative diseases
Bellou, E., Stevenson-Hoare, J. O., & Escott-Price, V. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104953 · Cited by 48 · see citing works
Lee, A., Raghavan, N. S., Bhattarai, P., Siddiqui, T., Sariya, S., Reyes‐Dumeyer, D., Flowers, X. E., Cardoso, S. A. L., Jager, P. L. D., Bennett, D. A., et al. (2022) · Acta Neuropathologica · doi:10.1007/s00401-022-02431-6 · Cited by 47 · see citing works
Self-citationPahlavian, S. H., Wang, X., Ma, S. J., Zheng, H., Casey, M., D’Orazio, L. M., Shao, X., Ringman, J. M., Chui, H. C., Wang, D. J. J., et al. (2020) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x20927101 · Cited by 44 · see citing works
LDL cholesterol is associated with higher AD neuropathology burden independent of APOE
Wingo, A. P., Vattathil, S., Liu, J., Fan, W., Cutler, D. J., Levey, A. I., Schneider, J. A., Bennett, D. A., & Wingo, T. S. (2022) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2021-328164 · Cited by 46 · see citing works
Self-citationKoskeridis, F., Fancy, N. N., Tan, P. F., Meena, D., Εvangelou, Ε., Elliott, P., Wang, D. Y. Q., Matthews, P. M., Dehghan, A., & Tzoulaki, I. (2024) · Nature Communications · doi:10.1038/s41467-024-53452-6 · Cited by 43 · see citing works
The vascular side of Alzheimer's disease
Liesz, A. (2019) · Science · doi:10.1126/science.aay2720 · Cited by 42 · see citing works
Program, T. V. M. V., Bone, W. P., Siewert, K. M., Jha, A., Klarin, D., Damrauer, S. M., Chang, K.-M., Tsao, P. S., Assimes, T. L., Ritchie, M. D., et al. (2021) · Alzheimer's Research & Therapy · doi:10.1186/s13195-021-00773-z · Cited by 41 · see citing works
Choriocapillaris reduction accurately discriminates against early‐onset Alzheimer's disease
Kwapong, W. R., Tang, F., Liu, P., Zhang, Z., Cao, L., Feng, Z., Yang, S., Shu, Y., Xu, H., Lu, Y., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13871 · Cited by 40 · see citing works
Influence of genetic and cardiometabolic risk factors in Alzheimer’s disease
Pasqualetti, G., Thayanandan, T., & Edison, P. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101723 · Cited by 39 · see citing works
Chen, H., Petty, L. E., Sha, J., Zhao, Y., Kuzma, A. B., Valladares, O., Bush, W. S., Naj, A. C., Gamazon, E. R., & Below, J. E. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01677-0 · Cited by 34 · see citing works
Cheng, Y., Yan, M., He, S., Xie, Y., Wei, L., Xuan, B., Shang, Z., Wu, M., Zheng, H., Chen, Y., et al. (2024) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.18321 · Cited by 35 · see citing works
Rizzo, S. J. S., Homanics, G. E., Schaeffer, D. J., Schaeffer, L. K. H., Park, J. E., Oluoch, J., Zhang, T., Haber, A., Seyfried, N. T., Paten, B., et al. (2023) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12417 · Cited by 35 · see citing works
Krahn, A. I., Wells, C. I., Drewry, D. H., Beitel, L. K., Durcan, T. M., & Axtman, A. D. (2020) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.0c00176 · Cited by 34 · see citing works
Genetic Variability in Molecular Pathways Implicated in Alzheimer's Disease: A Comprehensive Review
Vogrinc, D., Goričar, K., & Dolžan, V. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.646901 · Cited by 32 · see citing works
Unzeta, M., Hernández‐Guillamón, M., Sun, P., & Solé, M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22073365 · Cited by 33 · see citing works
Wang, Q., Zang, F., He, C., Zhang, Z., Xie, C., & Initiative, A. D. N. (2022) · Journal of Translational Medicine · doi:10.1186/s12967-022-03786-w · Cited by 32 · see citing works
Crouch, E. E., Joseph, T., Marsan, E., & Huang, E. J. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2023.04.007 · Cited by 32 · see citing works
Zhang, J., Lei, H., & Li, X. (2021) · Environmental Toxicology · doi:10.1002/tox.23361 · Cited by 31 · see citing works
Elahi, F. M., Ashimatey, B. S., Bennett, D. J., Walters, S. M., Joie, R. L., Jiang, X., Wolf, A. A., Cobigo, Y., Staffaroni, A. M., Rosen, H. J., et al. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12181 · Cited by 29 · see citing works
Self-citationFominykh, V., Shadrin, A. A., Jaholkowski, P. P., Bahrami, S., Athanasiu, L., Wightman, D. P., Uffelmann, E., Posthuma, D., Selbæk, G., Dale, A. M., et al. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106174 · Cited by 28 · see citing works
Self-citationLong runs of homozygosity are associated with Alzheimer’s disease
Moreno–Grau, S., Fernández, M. V., de Rojas, I., García‐González, P., Hernández, I., Farias, F. G., Budde, J., Quintela, I., Madrid, L., González‐Pérez, A., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-020-01145-1 · Cited by 27 · see citing works
Hou, J., Deng, Q., Guo, X., Deng, X., Zhong, W. H., & Zhong, Z. (2020) · Lipids in Health and Disease · doi:10.1186/s12944-020-01323-6 · Cited by 29 · see citing works
Multimodal hippocampal and amygdala subfield volumetry in polygenic risk for Alzheimer's disease
Murray, A. N., Chandler, H. L., & Lancaster, T. M. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.08.022 · Cited by 25 · see citing works
Huang, L., Ou, Y., Yang, Y., Wang, Z.-T., Tan, L., & Yu, J. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02553-9 · Cited by 25 · see citing works
Zhao, L., Liu, J., Zhao, W., Chen, J., Fan, J., Ge, T., & Tu, Y. (2024) · Nature Mental Health · doi:10.1038/s44220-024-00223-3 · Cited by 25 · see citing works
The Significance of Vascular Pathogenesis in the Examination of Corticobasal Syndrome
Dunalska, A., Pikul, J., Schok, K., Wiejak, K., & Alster, P. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.668614 · Cited by 23 · see citing works
Ban, Y., Yu, T., Feng, B., Lorenz, C., Wang, X., Baker, C., & Zou, Y. (2021) · Science Advances · doi:10.1126/sciadv.abh2974 · Cited by 23 · see citing works
Grossmann, K. (2022) · Biomedicines · doi:10.3390/biomedicines10081890 · Cited by 23 · see citing works
Zheng, C., Liu, S., Zhang, X., Hu, Y., Shang, X., Zhu, Z., Huang, Y., Wu, G., Xiao, Y., Du, Z., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.880576 · Cited by 23 · see citing works
Lipids and lipoproteins may play a role in the neuropathology of Alzheimer’s disease
Akyol, Ö., Akyol, S., Chou, M., Chen, S., Liu, C., Selek, S., Soares, J. C., & Chen, C. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1275932 · Cited by 24 · see citing works
Li, B., Qu, Y., Fan, Z., Gong, X., Xu, H., Wu, L., & Yan, C. (2023) · BMC Medical Genomics · doi:10.1186/s12920-023-01692-8 · Cited by 22 · see citing works
Peng, X., Yang, Y., Hou, R., Zhang, L., Shen, C., Yang, X., Luo, Z., Yin, Z., & Cao, Y. (2024) · Drug Design Development and Therapy · doi:10.2147/dddt.s460448 · Cited by 22 · see citing works
Liu, Y., Chan, D. K. Y., Crawford, J. D., Sachdev, P. S., & Braidy, N. (2021) · Current Alzheimer Research · doi:10.2174/1567205018666210212160902 · Cited by 20 · see citing works
Adipose tissue as a therapeutic target for vascular damage in Alzheimer's disease
Bettinetti‐Luque, M., Trujillo‐Estrada, L., García‐Fuentes, E., Andreo‐Lopez, J., Sanchez-Varo, R. M., Garrido‐Sánchez, L., Mediavilla, A. G., López, M. G., García‐Caballero, M., Gutiérrez, A., et al. (2023) · British Journal of Pharmacology · doi:10.1111/bph.16243 · Cited by 21 · see citing works
Li, C., Ou, R., Gu, X., Wei, Q., & Shang, H. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.01.023 · Cited by 20 · see citing works
Alzheimer’s Disease—Rationales for Potential Treatment with the Thrombin Inhibitor Dabigatran
Grossmann, K. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094805 · Cited by 19 · see citing works
Cardiovascular diseases and risk of dementia in the general population
Luo, J. M., Rasmussen, I. J., Nordestgaard, B. G., Tybjærg‐Hansen, A., Thomassen, J. Q., & Frikke‐Schmidt, R. (2025) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwaf129 · Cited by 18 · see citing works
Elevated parathyroid hormone levels and cognitive function: A systematic review
Jiang, W., Hu, C., Li, F., Hua, X., Huang, K., & Zhang, X.-J. (2019) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2019.103985 · Cited by 18 · see citing works
Hariharan, P., & Dupuis, J. (2021) · Scientific Reports · doi:10.1038/s41598-021-95637-9 · Cited by 17 · see citing works
Amyloid-beta metabolism in age-related neurocardiovascular diseases
Aivalioti, E., Georgiopoulos, G. A., Tual‐Chalot, S., Bampatsias, D., Delialis, D., Sopova, K., Drakos, S. G., Stellos, K., & Stamatelopoulos, K. S. (2024) · European Heart Journal · doi:10.1093/eurheartj/ehae655 · Cited by 19 · see citing works
Chen, F., Dong, X., Yu, Z., Zhang, Y., & Shi, Y. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.03.098 · Cited by 16 · see citing works
Rodriguez, P., Kalia, V., Fenollar‐Ferrer, C., Gibson, C. L., Gichi, Z., Rajoo, A., Matier, C. D., Pezacki, A. T., Xiao, T., Carvelli, L., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2320611121 · Cited by 16 · see citing works
Lawingco, T., Chaudhury, S. R., Brookes, K. J., Guetta‐Baranes, T., Guerreiro, R. J., Brás, J., Hardy, J., Francis, P. T., Thomas, A. J., Belbin, O., et al. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.11.009 · Cited by 16 · see citing works
DeepRisk: a deep learning approach for genome-wide assessment of common disease risk
Peng, J., Bao, Z., Li, J., Han, R., Wang, Y., Han, L., Peng, J., Wang, T., Hao, J., Wei, Z., et al. (2024) · Fundamental Research · doi:10.1016/j.fmre.2024.02.015 · Cited by 15 · see citing works
Eisfeldt, J., Schuy, J., Stattin, E., Kvarnung, M., Falk, A., Feuk, L., & Lindstrand, A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23169392 · Cited by 15 · see citing works
Admixture mapping identifies novel Alzheimer's disease risk regions in African Americans
Rajabli, F., Tosto, G., Hamilton‐Nelson, K. L., Kunkle, B. W., Vardarajan, B. N., Naj, A. C., Whitehead, P. G., Gardner, O. K., Bush, W. S., Sariya, S., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12865 · Cited by 15 · see citing works
Self-citationAssociations of ARHGAP26 Polymorphisms with Alzheimer’s Disease and Cardiovascular Disease
Wang, K., Lu, Y., Morrow, D. F., Xiao, D., Xu, C. D., & Initiative, T. A. D. N. (2022) · Journal of Molecular Neuroscience · doi:10.1007/s12031-022-01972-5 · Cited by 14 · see citing works
Gallego, I., Villate-Beitia, I., Soto‐Sánchez, C., Menéndez, M., Grijalvo, S., Eritja, R., Martı́nez, G., Humphreys, L., López-Méndez, T. B., Puras, G., et al. (2020) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.9b01213 · Cited by 14 · see citing works
Suryadevara, V., Klüppel, M., del Monte, F., & Willis, M. S. (2020) · American Journal Of Pathology · doi:10.1016/j.ajpath.2020.04.013 · Cited by 13 · see citing works
Broce, I., Castruita, P. A., & Yokoyama, J. S. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.639078 · Cited by 14 · see citing works
Self-citationExploring potential shared genetic influences between rheumatoid arthritis and blood lipid levels
Kasher, M., Cherny, S. S., & Livshits, G. (2022) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2022.11.006 · Cited by 15 · see citing works
White Matter Hyperintensity as a Vascular Contribution to the AT(N) Framework
Ng, K. P., shen, J., Chiew, H. J., Ng, A., Kandiah, N., Rosa‐Neto, P., & Gauthier, S. G. (2023) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2023.53 · Cited by 12 · see citing works
Genetic Variants behind Cardiovascular Diseases and Dementia
Ho, W.-M., Wu, Y.-Y., & Chen, Y. (2020) · Genes · doi:10.3390/genes11121514 · Cited by 13 · see citing works
Jaholkowski, P. P., Hindley, G., Shadrin, A. A., Tesfaye, M., Bahrami, S., Nerhus, M., Rahman, Z., O’Connell, K. S., Holen, B., Parker, N., et al. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbad063 · Cited by 12 · see citing works
Self-citationİş, Ö., Min, Y., Wang, X., Oatman, S. R., Daniel, A. A., & Ertekin‐Taner, N. (2024) · Glia · doi:10.1002/glia.24652 · Cited by 13 · see citing works
MAP4K signaling pathways in cancer: roles, mechanisms and therapeutic opportunities
Bunardi, C. S., Yeom, M., Kosasih, P., Han, H., Wang, W., & Seo, G. (2025) · Experimental & Molecular Medicine · doi:10.1038/s12276-025-01544-8 · Cited by 11 · see citing works
Endothelial ether lipids link the vasculature to blood pressure, behavior, and neurodegeneration
Spears, L. D., Adak, S., Dong, G., Wei, X., Spyropoulos, G., Zhang, Q., Li, Y., Chu, F., Hu, D., Lodhi, I. J., et al. (2021) · Journal of Lipid Research · doi:10.1016/j.jlr.2021.100079 · Cited by 11 · see citing works
Chandler, H. L., Wise, R. G., Linden, D. E. J., Williams, J. H., Murphy, K., & Lancaster, T. M. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.08.001 · Cited by 11 · see citing works
Polygenic risk for Alzheimer's disease shapes hippocampal scene-selectivity
Chandler, H. L., Hodgetts, C. J., Caseras, X., Murphy, K., & Lancaster, T. M. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-019-0595-1 · Cited by 11 · see citing works
Jansson, D., Wang, M., Thomas, R. G., Erickson, M. A., Peskind, E. R., Li, G., & Iliff, J. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215400 · Cited by 11 · see citing works
Optical Imaging Reveals Liver Metabolic Perturbations in Mblac1 Knockout Mice
Ceyhan, B., LaMar, J., Nategh, P., Neghabi, M., Konjalwar, S., Rodriguez, P., Hahn, M. K., Blakely, R., & Ranji, M. (2023) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc40787.2023.10341032 · Cited by 10 · see citing works
Plasma Proteomic Biomarkers in Alzheimer’s Disease and Cardiovascular Disease: A Longitudinal Study
Theeke, L. A., Liu, Y., Wang, S., Luo, X.-G., Navia, R. O., Xiao, D.-Q., Xu, C., & Wang, K.-S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms251910751 · Cited by 8 · see citing works
Guardiola, M., Muntané, G., Martínez, I., Martorell, L., Girona, J., Ibarretxe, D., Plana, N., Bullido, M. J., Vilella, E., & Ribalta, J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24087415 · Cited by 9 · see citing works
Optical Imaging Demonstrates Tissue-Specific Metabolic Perturbations in Mblac1 Knockout Mice
Ceyhan, B., Nategh, P., Neghabi, M., LaMar, J., Konjalwar, S., Rodriguez, P., Hahn, M. K., Gross, M., Grumbar, G. J., Salleng, K. J., et al. (2024) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2024.3355962 · Cited by 8 · see citing works
Kot, A., Koszewska, D., Ochman, B., & Świętochowska, E. (2024) · Current Issues in Molecular Biology · doi:10.3390/cimb46120826 · Cited by 8 · see citing works
Dissecting pleiotropy to gain mechanistic insights into human disease
Jee, Y. H., He, Y., Lu, W., Shi, Y., Lazarev, D., Daly, M. J., Reeve, M. P., & Martin, A. R. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-025-00908-0 · Cited by 8 · see citing works
Influence of cardiovascular risk factors on pre-mild cognitive decline at middle and old age
Koberskaya, N. N., Yakhno, N. N., Гридин, В. Н., & Smirnov, D. S. (2021) · Neurology neuropsychiatry Psychosomatics · doi:10.14412/2074-2711-2021-1-13-17 · Cited by 8 · see citing works
Sink or swim: Does a worm paralysis phenotype hold clues to neurodegenerative disease?
Rodriguez, P., & Blakely, R. (2023) · Journal of Cellular Physiology · doi:10.1002/jcp.31125 · Cited by 7 · see citing works
Gan, C., Zhang, Y., Zhang, X., Huang, Q., & Guo, X. (2023) · International Journal of General Medicine · doi:10.2147/ijgm.s440103 · Cited by 8 · see citing works
Prevalence of cardiovascular drug use before and after diagnosis of Alzheimer's disease
Vu, M., Koponen, M., Taipale, H. T., Tanskanen, A. J., Tiihonen, J., Kettunen, R., Hartikainen, S. A., & Tolppanen, A. (2019) · International Journal of Cardiology · doi:10.1016/j.ijcard.2019.09.036 · Cited by 7 · see citing works
Loika, Y., Loiko, E., Culminskaya, I. V., & Kulminski, A. M. (2023) · Genes · doi:10.3390/genes14101834 · Cited by 6 · see citing works
Parental History of Dementia Is Associated with Increased Small Vessel Cerebrovascular Disease
Stamm, B. C., Lao, P. J., Rizvi, B. M., Colón, J. M., Igwe, K. C., Chesebro, A. G., Maas, B., Schupf, N., Mayeux, R. P., Manly, J. J., et al. (2019) · The Journals of Gerontology Series A · doi:10.1093/gerona/glz291 · Cited by 6 · see citing works
Self-citationTranscriptomic Heterogeneity of Alzheimer’s Disease Associated with Lipid Genetic Risk
Miao, X., Liu, W., Fan, B., & Lin, H. (2020) · NeuroMolecular Medicine · doi:10.1007/s12017-020-08610-6 · Cited by 6 · see citing works
Bridging heterogeneous mutation data to enhance disease gene discovery
Zhou, K., Wang, Y., Cohen, K. B., Kim, J.-D., Ma, X., Shen, Z., Meng, X., & Xia, J. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab079 · Cited by 6 · see citing works
Identification of genetic loci shared between Alzheimer’s disease and hypertension
Sullivan, M., Deng, H., & Greenbaum, J. (2022) · Molecular Genetics and Genomics · doi:10.1007/s00438-022-01949-4 · Cited by 6 · see citing works
Life course plasma metabolomic signatures of genetic liability to Alzheimer’s disease
Compton, H., Smith, M. L., Bull, C. J., Korologou‐Linden, R., Ben‐Shlomo, Y., Bell, J. A., Williams, D. M., & Anderson, E. L. (2024) · Scientific Reports · doi:10.1038/s41598-024-54569-w · Cited by 5 · see citing works
Zhan, K., Zhu, K., Gu, B., Yao, S., Fu, F., Zeng, H., Tian, K., Ji, W., Jin, H., Tong, P., et al. (2024) · International Immunopharmacology · doi:10.1016/j.intimp.2024.112202 · Cited by 5 · see citing works
The biology of mitochondrial carrier homolog 2
Zheng, X., & Chu, B. (2023) · Mitochondrion · doi:10.1016/j.mito.2023.101837 · Cited by 5 · see citing works
Precision health in Alzheimer disease: Risk assessment‐based strategies
Azar, J., Salama, M., Chidambaram, S. B., Al‐Balushi, B., Essa, M. M., & Qoronfleh, M. W. (2021) · Precision Medical Sciences · doi:10.1002/prm2.12036 · Cited by 7 · see citing works
Magusali, N., Graham, A. C., Piers, T. M., Panichnantakul, P., Yaman, Ü., Shoai, M., Reynolds, R. H., Botía, J. A., Brookes, K. J., Guetta‐Baranes, T., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.16.435702 · Cited by 5 · see citing works
Epigenetic Insights into Vascular Cognitive Impairment: DNA Methylation in the Human Brain Tissue
Vishweswaraiah, S., Saiyed, N., Khalid, A., Milčiūtė, M., Gabrielaitė, M., Buyuker, C., Aksakal, B., Gomes, L., Gordevičius, J., Yılmaz, A., et al. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-05119-6 · Cited by 4 · see citing works
Is the Relationship Between Cardiovascular Disease and Alzheimer’s Disease Genetic? A Scoping Review
Moore, A. K., & Ritchie, M. D. (2024) · Genes · doi:10.3390/genes15121509 · Cited by 4 · see citing works
Exploratory Data Analysis in a Six-Year Longitudinal Study in Healthy Brain AgingPreprint
Gómez-Ramírez, J., Ávila‐Villanueva, M., Payo, B. F., Quijano, T. D. S., Soler, M. V., Sevilla, M. A. Z., & Fernández‐Blázquez, M. A. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/674853 · Cited by 4 · see citing works
Genetic influences on the shape of brain ventricular and subcortical structuresPreprint
Zhao, B., Li, T., Yang, X., Shu, J., Wang, X., Luo, T., Yang, Y., Wu, Z., Fan, Z., Jiang, Z., et al. (2022) · medRxiv · doi:10.1101/2022.09.26.22279691 · Cited by 4 · see citing works
- Authors
- Broce, I. J., Tan, C. H., Fan, C. C., Jansen, I., Savage, J. E., Witoelar, A., Wen, N., Hess, C. P., Dillon, W. P., Glastonbury, C. M., Glymour, M., Yokoyama, J. S., Elahi, F. M., Rabinovici, G. D., Miller, B. L., Mormino, E. C., Sperling, R. A., Bennett, D. A., McEvoy, L. K., Brewer, J. B., Feldman, H. H., Hyman, B. T., Pericak-Vance, M., Haines, J. L., Farrer, L. A., Mayeux, R., Schellenberg, G. D., Yaffe, K., Sugrue, L. P., Dale, A. M., Posthuma, D., Andreassen, O. A., Karch, C. M., & Desikan, R. S.
- Affiliations
- University of California, San Francisco (US)
- Nanyang Technological University (SG)
- University of California San Diego (US)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- University of Oslo (NO)
- Washington University in St. Louis (US)
- Stanford Medicine (US)
- Brigham and Women's Hospital (US)
- Rush University Medical Center (US)
- Harvard University (US)
- Case Western Reserve University (US)
- Boston University (US)
- Columbia University (US)
- University of Pennsylvania (US)
- Corresponding author
- Broce, Iris J.
- Karch, Celeste M.
- Desikan, Rahul S.
- ORCID
- Broce, Iris J.
- Tan, Chin Hong
- Fan, Chun Chieh
- Jansen, Iris
- Savage, Jeanne E.
- Witoelar, Aree
- Wen, Natalie
- Hess, Christopher P.
- Dillon, William P.
- Glastonbury, Christine M.
- Glymour, Maria
- Yokoyama, Jennifer S.
- Elahi, Fanny M.
- Rabinovici, Gil D.
- Miller, Bruce L.
- Mormino, Elizabeth C.
- Sperling, Reisa A.
- Bennett, David A.
- McEvoy, Linda K.
- Feldman, Howard H.
- Hyman, Bradley T.
- Haines, Jonathan L.
- Farrer, Lindsay A.
- Mayeux, Richard
- Schellenberg, Gerard D.
- Yaffe, Kristine
- Sugrue, Leo P.
- Dale, Anders M.
- Andreassen, Ole A.
- Karch, Celeste M.
- Desikan, Rahul S.
- Venue
- Acta Neuropathologica
- Published
- 2018-11-09
- Volume
- 137
- Issue
- 2
- Pages
- 209-226
- ISSN
- 0001-6322 (ISSN-L)
- 1432-0533
- PMC
- PMC6358498
- OpenAlex
- W2899829198
- Cited by
- 140
- References
- 60
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 20 · 2023: 23 · 2022: 20 · 2021: 28 · 2020: 20 · 2019: 10 · 2018: 1
- FWCI
- 10.31
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Acta Neuropathologica (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- DR-NTU (Nanyang Technological University) (submittedVersion)
- VU Research Portal (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Institutes of Health (AG046374, K01AG049152)
- National Alzheimer's Coordinating Center
- Radiological Society of North America
- Foundation of the American Society of Neuroradiology
- Norges Forskningsråd (213837, 225989, 223273, 237250/EU JPND)
- South East Norway Health Authority
- Norwegian Health Association
- KG Jebsen Foundation
- 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, cardiovascular risk factors, genetic overlap, pleiotropy, plasma lipids, type 2 diabetes, coronary artery disease, body mass index, waist-to-hip ratio, apolipoprotein E, DDB2, novel genetic loci, postmortem gene expression, polygenic risk
- MeSH terms
- Aged, Aged, 80 and over, Alleles, Alzheimer Disease, Apolipoproteins E, Cardiovascular Diseases, Diabetes Mellitus, Type 2, Female, Humans, Male, Middle Aged, Risk Factors, Cohort Studies, Genetic Predisposition to Disease, Genome-Wide Association Study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review