Non-coding variability at the APOE locus contributes to the Alzheimer’s risk

Diagnostic and Statistical Manual of Mental Disorders

American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369 · see citing works

Fast gapped-read alignment with Bowtie 2

Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400 · see citing works

PLINK: a tool set for whole-genome association and population-based linkage analyses.

Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089 · see citing works

Clinical diagnosis of Alzheimer's disease: Report of the NINCDS‐ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease

McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915 · see citing works

The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895 · see citing works

The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment

Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., Cummings, J. L., & Chertkow, H. (2005) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2005.53221.x · Cited by 25,553 · see citing works

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

The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease

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 &amp; Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works

A framework for variation discovery and genotyping using next-generation DNA sequencing data

DePristo, M. A., Banks, E., Poplin, R. E., Garimella, K. V., Maguire, J., Hartl, C., Philippakis, A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,216 · see citing works

The Human Genome Browser at UCSC

Kent, W. J., Sugnet, C. W., Furey, T. S., Roskin, K. M., Pringle, T. H., Zahler, A. M., & Haussler, A. D. (2002) · Genome Research · doi:10.1101/gr.229102 · Cited by 10,400 · see citing works

Mild cognitive impairment as a diagnostic entity

Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864 · see citing works

From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline

Van der Auwera, G. A., Carneiro, M. O., Hartl, C., Poplin, R., del Angel, G., Levy‐Moonshine, A., Jordan, T., Shakir, K., Roazen, D., Thibault, J., et al. (2013) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi1110s43 · Cited by 6,687 · see citing works

A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease

Keren-Shaul, H., Spinrad, A., Weiner, A., Matcovitch-Natan, O., Dvir-Szternfeld, R., Ulland, T. K., David, E., Baruch, K., Lara-Astaiso, D., Toth, B., et al. (2017) · Cell · doi:10.1016/j.cell.2017.05.018 · Cited by 5,493 · see citing works

2016 Alzheimer's disease facts and figures

Alzheimer's Association (2016) · Alzheimer's &amp; Dementia · doi:10.1016/j.jalz.2016.03.001 · Cited by 5,069 · see citing works

Common polygenic variation contributes to risk of schizophrenia and bipolar disorder

The International Schizophrenia Consortium (2009) · Nature · doi:10.1038/nature08185 · Cited by 4,821 · see citing works

Common SNPs explain a large proportion of the heritability for human height

Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., Madden, P. A., Heath, A. C., Martin, N. G., Montgomery, G. W., et al. (2010) · Nature Genetics · doi:10.1038/ng.608 · Cited by 4,446 · 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

Apolipoprotein E: high-avidity binding to beta-amyloid and increased frequency of type 4 allele in late-onset familial Alzheimer disease.

Strittmatter, W. J., Saunders, A. M., Schmechel, D., Pericak-Vance, M., Enghild, J., Salvesen, G. S., & Roses, A. D. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.5.1977 · Cited by 4,268 · see citing works

Association of apolipoprotein E allele ϵ4 with late‐onset familial and sporadic Alzheimer's disease

Saunders, A. M., Strittmatter, W. J., Schmechel, D., St. George-Hyslop, P. H., Pericak-Vance, M. A., Joo, S. H., Rosi, B. L., Gusella, J. F., Crapper-MacLachlan, D. R., Alberts, M. J., et al. (1993) · Neurology · doi:10.1212/wnl.43.8.1467 · Cited by 3,786 · see citing works

Rapid and Accurate Haplotype Phasing and Missing-Data Inference for Whole-Genome Association Studies By Use of Localized Haplotype Clustering

Browning, S. R., & Browning, B. L. (2007) · The American Journal of Human Genetics · doi:10.1086/521987 · Cited by 3,138 · see citing works

The TREM2-APOE Pathway Drives the Transcriptional Phenotype of Dysfunctional Microglia in Neurodegenerative Diseases

Krasemann, S., Madore, C., Cialic, R., Baufeld, C., Calcagno, N., El Fatimy, R., Beckers, L., O’Loughlin, E., Xu, Y., Fanek, Z., et al. (2017) · Immunity · doi:10.1016/j.immuni.2017.08.008 · Cited by 2,979 · see citing works

LocusZoom: regional visualization of genome-wide association scan results

Pruim, R. J., Welch, R. P., Sanna, S., Teslovich, T. M., Chines, P. S., Gliedt, T. P., Boehnke, M., Abecasis, G. R., & Willer, C. J. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq419 · Cited by 2,707 · see citing works

Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis

Võsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Kasela, S., et al. (2018) · doi:10.1101/447367 · Cited by 2,607 · see citing works

Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression

Võsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Yazar, S., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00913-z · Cited by 2,607 · see citing works

Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk

Jansen, I. E., Savage, J. E., Watanabe, K., Bryois, J., Williams, D. M., Steinberg, S., Sealock, J., Karlsson, I. K., Hägg, S., Athanasiu, L., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0311-9 · Cited by 2,277 · see citing works

2018 Alzheimer's disease facts and figures

Alzheimer's Association (2018) · Alzheimer's &amp; Dementia · doi:10.1016/j.jalz.2018.02.001 · Cited by 1,912 · see citing works

Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database

Bertram, L., McQueen, M. B., Mullin, K., Blacker, D., & Tanzi, R. E. (2007) · Nature Genetics · doi:10.1038/ng1934 · Cited by 1,857 · see citing works

A Unified Approach to Genotype Imputation and Haplotype-Phase Inference for Large Data Sets of Trios and Unrelated Individuals

Browning, B. L., & Browning, S. R. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.01.005 · Cited by 1,640 · see citing works

Distinct patterns of brain activity in young carriers of the <i>APOE</i> -ε4 allele

Filippini, N., MacIntosh, B. J., Hough, M. G., Goodwin, G. M., Frisoni, G. B., Smith, S. M., Matthews, P. M., Beckmann, C. F., & Mackay, C. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811879106 · Cited by 1,613 · see citing works

Human ApoE isoforms differentially regulate brain amyloid-β peptide clearance

Castellano, J. M., Kim, J., Stewart, F. R., Jiang, H., DeMattos, R. B., Patterson, B. W., Fagan, A. M., Morris, J. C., Mawuenyega, K. G., Cruchaga, C., et al. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002156 · Cited by 1,227 · see citing works

Genetic associations with human longevity at the APOE and ACE loci

Schächter, F., Faure-Delanef, L., Guénot, F., Rouger, H., Froguel, P., Lesueur-Ginot, L., & Cohen, D. (1994) · Nature Genetics · doi:10.1038/ng0194-29 · Cited by 1,095 · see citing works

Abundant quantitative trait loci exist for DNA methylation and gene expression in human brain

Gibbs, J. R., van der Brug, M. P., Hernandez, D. G., Traynor, B. J., Nalls, M. A., Lai, S.-L., Arepalli, S., Dillman, A., Rafferty, I. P., Troncoso, J., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000952 · Cited by 769 · see citing works

Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus

Readhead, B., Haure-Mirande, J.-V., Funk, C. C., Richards, M. A., Shannon, P., Haroutunian, V., Sano, M., Liang, W. S., Beckmann, N. D., Price, N. D., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.05.023 · Cited by 708 · see citing works

Random-Effects Model Aimed at Discovering Associations in Meta-Analysis of Genome-wide Association Studies

Han, B., & Eskin, E. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.04.014 · Cited by 680 · see citing works

A Cell Surface Protein with Herpesvirus Entry Activity (HveB) Confers Susceptibility to Infection by Mutants of Herpes Simplex Virus Type 1, Herpes Simplex Virus Type 2, and Pseudorabies Virus

Warner, M. S., Geraghty, R. J., Martinez, W. M., Montgomery, R. I., Whitbeck, J. C., Xu, R., Eisenberg, R. J., Cohen, G. H., & Spear, P. G. (1998) · Virology · doi:10.1006/viro.1998.9218 · Cited by 492 · see citing works

Microvascular injury and blood–brain barrier leakage in Alzheimer's disease

Zipser, B. D., Johanson, C. E., Gonzalez, L., Berzin, T. M., Tavares, R., Hulette, C. M., Vitek, M. P., Hovanesian, V., & Stopa, E. G. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.05.016 · Cited by 487 · see citing works

An efficient and scalable analysis framework for variant extraction and refinement from population-scale DNA sequence dataPreprint

Jun, G., Wing, M. K., Abecasis, G. R., & Kang, H. M. (2015) · Genome Research · doi:10.1101/gr.176552.114 · Cited by 484 · see citing works

Statistical confidence estimation for Hi-C data reveals regulatory chromatin contactsPreprint

Ay, F., Bailey, T. L., & Noble, W. S. (2014) · Genome Research · doi:10.1101/gr.160374.113 · Cited by 479 · see citing works

Isoform-specific interactions of apolipoprotein E with microtubule-associated protein tau: implications for Alzheimer disease.

Strittmatter, W. J., Saunders, A. M., Goedert, M., Weisgraber, K. H., Dong, L. M., Jakes, R., Huang, D. Y., Pericak-Vance, M., Schmechel, D., & Roses, A. D. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.23.11183 · Cited by 474 · see citing works

Identifying Causal Variants at Loci with Multiple Signals of Association

Hormozdiari, F., Kostem, E., Kang, E. Y., Pasaniuc, B., & Eskin, E. (2014) · Genetics · doi:10.1534/genetics.114.167908 · Cited by 465 · see citing works

An examination of psychometric properties of the Mini-Mental State Examination and the Standardized Mini-Mental State Examination: Implications for clinical practice

Pangman, V. C., Sloan, J., & Guse, L. (2000) · Applied Nursing Research · doi:10.1053/apnr.2000.9231 · Cited by 440 · see citing works

APOE4 Allele Disrupts Resting State fMRI Connectivity in the Absence of Amyloid Plaques or Decreased CSF Aβ42

Sheline, Y. I., Morris, J. C., Snyder, A. Z., Price, J. L., Yan, Z., D’Angelo, G., Liu, C., Dixit, S., Benzinger, T. L. S., Fagan, A. M., et al. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.3987-10.2010 · Cited by 430 · see citing works

An open resource for accurately benchmarking small variant and reference calls

Zook, J. M., McDaniel, J., Olson, N. D., Wagner, J., Parikh, H. M., Heaton, H., Irvine, S. A., Trigg, L., Truty, R., McLean, C. Y., et al. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0074-6 · Cited by 404 · see citing works

APOE genotype and an ApoE-mimetic peptide modify the systemic and central nervous system inflammatory response

Lynch, J. R., Tang, W., Wang, H., Vitek, M. P., Bennett, E. R., Sullivan, P. M., Warner, D. S., & Laskowitz, D. T. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m306923200 · Cited by 394 · see citing works

A TOMM40 variable-length polymorphism predicts the age of late-onset Alzheimer's disease

Roses, A. D., Lutz, M. W., Amrine‐Madsen, H., Saunders, A. M., Crenshaw, D. G., Sundseth, S. S., Huentelman, M. J., Welsh-Bohmer, K. A., & Reiman, E. M. (2009) · The Pharmacogenomics Journal · doi:10.1038/tpj.2009.69 · Cited by 391 · see citing works

The Dynamic Landscape of Open Chromatin during Human Cortical Neurogenesis

de la Torre-Ubieta, L., Stein, J. L., Won, H., Opland, C. K., Liang, D., Lu, D., & Geschwind, D. H. (2018) · Cell · doi:10.1016/j.cell.2017.12.014 · Cited by 353 · see citing works

Apolipoproteins C-I and C-III as important modulators of lipoprotein metabolism

Shachter, N. S. (2001) · Current Opinion in Lipidology · doi:10.1097/00041433-200106000-00009 · Cited by 288 · see citing works

A polymorphism in the regulatory region of APOE associated with risk for Alzheimer's dementia

Bullido, M. J., Artiga, M. J., Recuero, M., Sastre, I., García, M., Aldudo, J., Lendon, C. L., Han, S. W., Morris, J. C., Frank, A., et al. (1998) · Nature Genetics · doi:10.1038/ng0198-69 · Cited by 286 · see citing works

Apolipoprotein E and alzheimer's disease: Ethnic variation in genotypic risks

Maestre, G. E., Ottman, R., Stern, Y., Gurland, B. J., Chun, M. R., Tang, M., Shelanski, M. L., Tycko, B., & Mayeux, R. P. (1995) · Annals of Neurology · doi:10.1002/ana.410370217 · Cited by 244 · see citing works

Expanding the association between the <i>APOE</i> gene and the risk of Alzheimer's disease: possible roles for <i>APOE</i> promoter polymorphisms and alterations in <i>APOE</i> transcription

Laws, S. M., Hone, E., Gandy, S., & Martins, R. N. (2003) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.2003.01615.x · Cited by 223 · see citing works

Transethnic genome‐wide scan identifies novel Alzheimer's disease loci

Jun, G. R., Chung, J., Mez, J., Barber, R., Beecham, G. W., Bennett, D. A., Buxbaum, J. D., Byrd, G. S., Carrasquillo, M. M., Crane, P. K., et al. (2017) · Alzheimer's &amp; Dementia · doi:10.1016/j.jalz.2016.12.012 · Cited by 197 · see citing works

MicroSNiPer: a web tool for prediction of SNP effects on putative microRNA targets

Barenboim, M., Zoltick, B. J., Guo, Y., & Weinberger, D. R. (2010) · Human Mutation · doi:10.1002/humu.21349 · Cited by 148 · see citing works

The APOE Gene is Differentially Methylated in Alzheimer’s Disease

Foraker, J. E., Millard, S. P., Leong, L., Thomson, Z., Chen, S., Keene, C. D., Bekris, L. M., & Yu, C. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-143060 · Cited by 145 · see citing works

Genetic association study on in and around the APOE in late-onset Alzheimer disease in Japanese

Takei, N., Miyashita, A., Tsukie, T., Arai, H., Asada, T., Imagawa, M., Shoji, M., Higuchi, S., Urakami, K., Kimura, H., et al. (2009) · Genomics · doi:10.1016/j.ygeno.2009.01.003 · Cited by 142 · see citing works

Pronounced impact of Th1/E47cs mutation compared with -491 AT mutation on neural APOE gene expression and risk of developing Alzheimer's disease

Lambert, J. (1998) · Human Molecular Genetics · doi:10.1093/hmg/7.9.1511 · Cited by 132 · see citing works

Comprehensive Search for Alzheimer Disease Susceptibility Loci in the APOE Region

Jun, G., Vardarajan, B. N., Buros, J. L., Yu, C., Hawk, M., Dombroski, B. A., Crane, P. K., Larson, E. B., Mayeux, R. P., Haines, J. L., et al. (2012) · Archives of Neurology · doi:10.1001/archneurol.2012.2052 · Cited by 103 · see citing works

Apolipoprotein E isoforms and regulation of the innate immune response in brain of patients with Alzheimer's disease

Keene, C. D., Cudaback, E., Li, X., Montine, K. S., & Montine, T. J. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.08.002 · Cited by 103 · see citing works

Identification of genetic risk factors in the Chinese population implicates a role of immune system in Alzheimer’s disease pathogenesis

Zhou, X., Chen, Y., Mok, K. Y., Zhao, Q., Chen, K., Chen, Y., Hardy, J., Li, Y., Fu, A. K. Y., Guo, Q., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1715554115 · Cited by 96 · see citing works

Apolipoprotein E polymorphism in Japanese patients with Alzheimer's disease or vascular dementia.

Kawamata, J., Tanaka, S., Shimohama, S., Ueda, K., & Kimura, J. (1994) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.57.11.1414 · Cited by 89 · see citing works

Distortion of Allelic Expression of Apolipoprotein E in Alzheimer's Disease

Lambert, J., Pérez‐Tur, J., Dupire, M., Galasko, D. R., Mann, D. M. A., Amouyel, P., Hardy, J., Delacourte, A., & Chartier‐Harlin, M. (1997) · Human Molecular Genetics · doi:10.1093/hmg/6.12.2151 · Cited by 85 · see citing works

DNA methylation of TOMM40-APOE-APOC2 in Alzheimer’s disease

Shao, Y. Y., Shaw, M. L., Todd, K. W., Khrestian, M., D’Aleo, G., Barnard, P. J., Zahratka, J. A., Pillai, J. A., Yu, C., Keene, C. D., et al. (2018) · Journal of Human Genetics · doi:10.1038/s10038-017-0393-8 · Cited by 84 · see citing works

Genetic variation in APOE cluster region and Alzheimer's disease risk

Cervantes, S., Samaranch, L., Vidal-Taboada, J. M., Lamet, I., Bullido, M. J., Frank, A., Coria, F., Lleó, A., Clarimón, J., Lorenzo, E., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.05.023 · Cited by 74 · see citing works

Using three-dimensional regulatory chromatin interactions from adult and fetal cortex to interpret genetic results for psychiatric disorders and cognitive traitsPreprint

Giusti‐Rodríguez, P., & Sullivan, P. F. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/406330 · Cited by 72 · see citing works

Apolipoprotein E gene mapping and expression: localization of the structural gene to human chromosome 19 and expression of ApoE mRNA in lipoprotein- and non-lipoprotein-producing tissues

Lin-Lee, Y.-C., Kao, F. T., Cheung, P., & Chan, L. (1985) · Biochemistry · doi:10.1021/bi00335a050 · Cited by 68 · see citing works

Apolipoprotein E and longevity among Han Chinese population

Jian-gang, Z., Ma, Y., Chuan-Fu, W., Pei-Fang, L., Song-Bai, Z., Nui-Fan, G., Feng, G., & He, L. (1998) · Mechanisms of Ageing and Development · doi:10.1016/s0047-6374(98)00067-0 · Cited by 48 · see citing works

A hidden Markov random field-based Bayesian method for the detection of long-range chromosomal interactions in Hi-C data

Xu, Z. Q., Zhang, G., Jin, F., Chen, M., Furey, T. S., Sullivan, P. F., Qin, Z. S., Hu, M., & Li, Y. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv650 · Cited by 48 · see citing works

Connecting the Dots: Potential of Data Integration to Identify Regulatory SNPs in Late-Onset Alzheimer's Disease GWAS Findings

Rosenthal, S. L., Barmada, M. M., Wang, X., Demirci, F. Y., & Kamboh, M. I. (2014) · PLoS ONE · doi:10.1371/journal.pone.0095152 · Cited by 45 · see citing works

FastHiC: a fast and accurate algorithm to detect long-range chromosomal interactions from Hi-C data

Xu, Z. Q., Zhang, G., Wu, C., Li, Y., & Hu, M. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw240 · Cited by 37 · see citing works

Promoter polymorphism (-491A/T) in the APOE gene of Finnish Alzheimer's disease patients and control individuals

Helisalmi, S., Hiltunen, M. O., Valonen, P. K., Mannermaa, A., Koivisto, A. M., Lehtovirta, M., Ryynänen, M., & Soininen, H. S. (1999) · Journal of Neurology · doi:10.1007/s004150050461 · Cited by 32 · see citing works

ForestPMPlot: A Flexible Tool for Visualizing Heterogeneity Between Studies in Meta-analysis

Kang, E. Y., Park, Y., Li, X., Segrè, A. V., Han, B., & Eskin, E. (2016) · G3 Genes Genomes Genetics · doi:10.1534/g3.116.029439 · Cited by 32 · see citing works

Regulatory region single nucleotide polymorphisms of the apolipoprotein E gene as risk factors for Alzheimer’s disease

Bratosiewicz‐Wąsik, J., Liberski, P. P., Pepłońska, B., Styczyńska, M., Smoleń‐Dzirba, J., Cycoń, M., & Wąsik, T. J. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.07.010 · Cited by 22 · see citing works

Brain APOE expression quantitative trait loci-based association study identified one susceptibility locus for Alzheimer’s disease by interacting with APOE ε4

Zhang, A., Zhao, Q., Xu, D., & Jiang, S. (2018) · Scientific Reports · doi:10.1038/s41598-018-26398-1 · Cited by 20 · see citing works

Easy Hi-C: A simple efficient protocol for 3D genome mapping in small cell populationsPreprint

Lu, L., Liu, X., Peng, J., Li, Y., & Jin, F. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/245688 · Cited by 9 · see citing works

APOE and Alzheimer’s disease: Advances in genetics, pathophysiology, and therapeutic approaches

Serrano-Pozo, A., Das, S., & Hyman, B. T. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(20)30412-9 · Cited by 1,037 · see citing works

Cholesterol and matrisome pathways dysregulated in astrocytes and microglia

TCW, J., Qian, L., Pipalia, N. H., Chao, M. J., Liang, S. A., Shi, Y., Jain, B. R., Bertelsen, S. E., Kapoor, M., Marcora, E., et al. (2022) · Cell · doi:10.1016/j.cell.2022.05.017 · Cited by 411 · see citing works

Apolipoprotein C1: Its Pleiotropic Effects in Lipid Metabolism and Beyond

Fuior, E. V., & Gafencu, A. V. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20235939 · Cited by 190 · see citing works

APOE alleles and diet in brain aging and Alzheimer's disease

Yassine, H. N., & Finch, C. E. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00150 · Cited by 145 · see citing works

Educational attainment, structural brain reserve and Alzheimer’s disease: a Mendelian randomization analysis

Seyedsalehi, A., Warrier, V., Bethlehem, R. A. I., Perry, B. I., Burgess, S., & Murray, G. K. (2022) · Brain · doi:10.1093/brain/awac392 · Cited by 137 · see citing works

Functional regulatory variants implicate distinct transcriptional networks in dementia

Cooper, Y. A., Teyssier, N., Dräger, N. M., Guo, Q., Davis, J. E., Sattler, S. M., Yang, Z., Patel, A. M., Wu, S. J., Kosuri, S., et al. (2022) · Science · doi:10.1126/science.abi8654 · Cited by 120 · see citing works

Identification of epigenome-wide DNA methylation differences between carriers of APOE ε4 and APOE ε2 alleles

Walker, R. M., Vaher, K., Bermingham, M. L., Morris, S. W., Bretherick, A. D., Zeng, Y., Rawlik, K., Amador, C., Campbell, A., Haley, C., et al. (2021) · Genome Medicine · doi:10.1186/s13073-020-00808-4 · Cited by 87 · see citing works

Bayesian Genome-wide TWAS Method to Leverage both cis- and trans-eQTL Information through Summary Statistics

Luningham, J. M., Chen, J., Tang, S., Jager, P. L. D., Bennett, D. A. A., Buchman, A. S., & Yang, J. (2020) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2020.08.022 · Cited by 85 · see citing works

Deep learning-based polygenic risk analysis for Alzheimer’s disease prediction

Zhou, X., Chen, Y., Ip, F. C. F., Jiang, Y., Cao, H., Lv, G., Zhong, H., Chen, J., Tao, Y., Chen, Y., et al. (2023) · Communications Medicine · doi:10.1038/s43856-023-00269-x · Cited by 76 · see citing works

Instructive roles of astrocytes in hippocampal synaptic plasticity: neuronal activity‐dependent regulatory mechanisms

Wang, Y., Fu, A. K. Y., & Ip, N. Y. (2021) · FEBS Journal · doi:10.1111/febs.15878 · Cited by 71 · see citing works

Mitophagy and the Brain

Swerdlow, N., & Wilkins, H. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21249661 · Cited by 65 · see citing works

Reassessment of Pioglitazone for Alzheimer’s Disease

Saunders, A. M., Burns, D. K., & Gottschalk, W. K. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.666958 · Cited by 67 · see citing works

Functional Foods: An Approach to Modulate Molecular Mechanisms of Alzheimer’s Disease

Atlante, A., Amadoro, G., Bobba, A., & Latina, V. (2020) · Cells · doi:10.3390/cells9112347 · Cited by 65 · see citing works

Predicting long-term progression of Alzheimer’s disease using a multimodal deep learning model incorporating interaction effects

Wang, Y., Gao, R., Wei, T., Johnston, L. J., Yuan, X., Zhang, Y., Yu, Z., & Initiative, A. D. N. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05025-w · Cited by 65 · see citing works

Modulation of MicroRNAs as a Potential Molecular Mechanism Involved in the Beneficial Actions of Physical Exercise in Alzheimer Disease

Improta-Caria, A., Nonaka, C., Cavalcante, B., de Sousa, R. D., Júnior, R. A., & Souza, B. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21144977 · Cited by 51 · see citing works

Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis

Du, L., Zhang, J., Liu, F., Wang, H., Guo, L., Han, J., & Disease Neuroimaging Initiative, T. A. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.102003 · Cited by 56 · see citing works

PCBP1 regulates the transcription and alternative splicing of metastasis‑related genes and pathways in hepatocellular carcinoma

Huang, S., Luo, K., Jiang, L., Zhang, X., Lv, Y., & Li, R. (2021) · Scientific Reports · doi:10.1038/s41598-021-02642-z · Cited by 55 · see citing works

An IL1RL1 genetic variant lowers soluble ST2 levels and the risk effects of APOE-ε4 in female patients with Alzheimer’s disease

Jiang, Y., Zhou, X., Wong, H. Y., Ouyang, L., Ip, F. C. F., Chau, V. M. N., Lau, S., Wu, W., Wong, D. Y. K., Seo, H., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00241-9 · Cited by 53 · see citing works

Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method

Du, L., Liu, F., Liu, K., Yao, X., Risacher, S. L., Han, J., Saykin, A. J., & Shen, L. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.2995510 · Cited by 48 · see citing works

TOMM40 Genetic Variants Cause Neuroinflammation in Alzheimer’s Disease

Chen, Y., Chang, S., Lee, Y., Ho, W.-M., Huang, Y.-H., Wu, Y.-Y., Chu, Y.-C., Wu, K.-H., Wei, L.-S., Wang, H., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24044085 · Cited by 48 · see citing works

Multi-Task Sparse Canonical Correlation Analysis with Application to Multi-Modal Brain Imaging Genetics

Du, L., Liu, K., Yao, X., Risacher, S., Han, J.-W., Saykin, A., Guo, L., & Shen, L. (2019) · IEEE/ACM Transactions on Computational Biology & Bioinformatics · doi:10.1109/tcbb.2019.2947428 · Cited by 44 · see citing works

From beta amyloid to altered proteostasis in Alzheimer’s disease

Bruni, A. C., Bernardi, L., & Gabelli, C. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101126 · Cited by 47 · see citing works

Cell type-specific potential pathogenic genes and functional pathways in Alzheimer’s Disease

Wang, X., & Li, L. (2021) · BMC Neurology · doi:10.1186/s12883-021-02407-1 · Cited by 46 · see citing works

Definitive roles of TOMM40-APOE-APOC1 variants in the Alzheimer's risk

Kulminski, A. M., Philipp, I., Shu, L., & Culminskaya, I. V. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.09.009 · Cited by 39 · see citing works

A blood‐based multi‐pathway biomarker assay for early detection and staging of Alzheimer's disease across ethnic groups

Jiang, Y., Uhm, H., Ip, F. C., Ouyang, L., Lo, R. M. N., Cheng, E. Y. L., Cao, X., Tan, C. M. C., Law, B. C. H., Ortiz‐Romero, P., et al. (2024) · Alzheimer's &amp; Dementia · doi:10.1002/alz.13676 · Cited by 36 · see citing works

Identification of putative causal loci in whole-genome sequencing data via knockoff statistics

He, Z., Liu, L., Wang, C., Guen, Y. L., Lee, J., Gogarten, S. M., Lu, F., Montgomery, S. B., Tang, H., Silverman, E. K., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22889-4 · Cited by 35 · see citing works

Race-Related Association between APOE Genotype and Alzheimer’s Disease: A Systematic Review and Meta-Analysis

Qin, W., Li, W., Wang, Q., Gong, M., Li, T., Shi, Y., Song, Y., Li, Y., Li, F., & Jia, J. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210549 · Cited by 35 · see citing works

Whole genome analysis in APOE4 homozygotes identifies the DAB1-RELN pathway in Alzheimer's disease pathogenesis

Bracher-Smith, M., Leonenko, G., Baker, E., Crawford, K., Graham, A. C., Salih, D. A., Howell, B. W., Hardy, J., & Escott-Price, V. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.07.009 · Cited by 31 · see citing works

Genetic and polygenic risk score analysis for Alzheimer's disease in the Chinese population

Zhou, X., Chen, Y., Ip, F. C. F., Lai, N. C. H., Li, Y. Y. T., Jiang, Y., Zhong, H., Chen, Y., Zhang, Y., Ma, S., et al. (2020) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12074 · Cited by 33 · see citing works

Defining functional variants associated with Alzheimer’s disease in the induced immune response

Harwood, J. C., Leonenko, G., Sims, R., Escott‐Price, V., Williams, J. H., & Holmans, P. (2021) · Brain Communications · doi:10.1093/braincomms/fcab083 · Cited by 32 · see citing works

Association and interaction of TOMM40 and PVRL2 with plasma amyloid-β and Alzheimer's disease among Chinese older adults: a population-based study

Liang, X., Liu, C., Liu, K., Cong, L., Wang, Y., Liu, R., Fa, W., Tian, N., Cheng, Y., Wang, N., et al. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.12.013 · Cited by 33 · see citing works

Multimodal Self-Paced Locality-Preserving Learning for Diagnosis of Alzheimer’s Disease

Hao, X., Wang, R., Guo, Y., Xiao, Y., Yu, M., Wang, M., Chen, W., & Zhang, D. (2022) · IEEE Transactions on Cognitive and Developmental Systems · doi:10.1109/tcds.2022.3189701 · Cited by 33 · see citing works

Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer’s disease etiopathogenesis

Madrid, L., Initiative, A. D. N., Moreno–Grau, S., Ahmad, S., González-Pérez, A., de Rojas, I., Xia, R., Adami, P. V. M., García‐González, P., Kleineidam, L., et al. (2021) · Aging · doi:10.18632/aging.202950 · Cited by 33 · see citing works

The ApoE Locus and COVID-19: Are We Going Where We Have Been?

Finch, C. E., & Kulminski, A. M. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa200 · Cited by 31 · see citing works

Apolipoprotein C1 (APOC1): A Novel Diagnostic and Prognostic Biomarker for Cervical Cancer

Shi, X., Wang, J., Dai, S., Qin, L., Zhou, J., & Chen, Y. (2020) · OncoTargets and Therapy · doi:10.2147/ott.s280690 · Cited by 30 · see citing works

Beyond association: successes and challenges in linking non-coding genetic variation to functional consequences that modulate Alzheimer’s disease risk

Novikova, G., Andrews, S. J., Renton, A. E., & Marcora, E. M. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00449-0 · Cited by 30 · see citing works

Multi-context genetic modeling of transcriptional regulation resolves novel disease loci

Thompson, M., Gordon, M. G., Lu, A. C., Tandon, A., Halperin, E., Gusev, A., Ye, C., Balliu, B., & Zaitlen, N. (2022) · Nature Communications · doi:10.1038/s41467-022-33212-0 · Cited by 27 · see citing works

Association of SPI1 haplotypes with altered SPI1 gene expression and Alzheimer’s disease risk

Cao, H., Initiative, A. D. N., Zhou, X., Chen, Y., Ip, F. C. F., Chen, Y., Lai, N. C. H., Lo, R. M. N., Tong, E. P. S., Mok, V. C. T., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215311 · Cited by 28 · see citing works

Factors Influencing Alzheimer’s Disease Risk: Whether and How They are Related to the APOE Genotype

Zhang, R., Xu, X., Yu, H., Xu, X., Wang, M., & Le, W. (2022) · Neuroscience Bulletin · doi:10.1007/s12264-021-00814-5 · Cited by 28 · see citing works

Local genetic correlations exist among neurodegenerative and neuropsychiatric diseases

Reynolds, R. H., Wagen, A. Z., Lona‐Durazo, F., Scholz, S. W., Shoai, M., Hardy, J., Taliun, S. A. G., & Ryten, M. (2023) · npj Parkinson s Disease · doi:10.1038/s41531-023-00504-1 · Cited by 28 · see citing works

TOMM40 and APOE variants synergistically increase the risk of Alzheimer’s disease in a Chinese population

Zhu, Z., Yang, Y., Xiao, Z., Zhao, Q., Wu, W., Liang, X., Luo, J., Cao, Y., Shao, M., Guo, Q., et al. (2020) · Aging Clinical and Experimental Research · doi:10.1007/s40520-020-01661-6 · Cited by 26 · see citing works

Using blood transcriptome analysis for Alzheimer's disease diagnosis and patient stratification

Zhong, H., Zhou, X., Uhm, H., Jiang, Y., Cao, H., Chen, Y., Mak, T. T. W., Lo, R. M. N., Wong, B. W. Y., Cheng, E. Y. L., et al. (2024) · Alzheimer's &amp; Dementia · doi:10.1002/alz.13691 · Cited by 25 · see citing works

Identification of risk genes for Alzheimer’s disease by gene embedding

Lagisetty, Y., Bourquard, T., Al‐Ramahi, I., Mangleburg, C. G., Mota, S., Soleimani, S., Shulman, J. M., Botas, J., Lee, K. D., & Lichtarge, O. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100162 · Cited by 23 · see citing works

Challenges at the APOE locus: a robust quality control approach for accurate APOE genotyping

Belloy, M. E., Eger, S. J., Guen, Y. L., Damotte, V., Ahmad, S., Ikram, M. A., Ramı́rez, A., Tsolaki, A., Rossi, G., Jansen, I. E., et al. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-00962-4 · Cited by 20 · see citing works

Quantitative trait locus (xQTL) approaches identify risk genes and drug targets from human non-coding genomes

Bykova, M., Hou, Y., Eng, C., & Cheng, F. (2022) · Human Molecular Genetics · doi:10.1093/hmg/ddac208 · Cited by 22 · see citing works

APOE signaling in neurodegenerative diseases: an integrative approach targeting APOE coding and noncoding variants for disease intervention

Zhou, X., Fu, A. K. Y., & Ip, N. Y. (2021) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2021.02.001 · Cited by 22 · see citing works

Coexistence of Multiple Functional Variants and Genes Underlies Genetic Risk Locus 11p11.2 of Alzheimer’s Disease

Xu, M., Liu, Q., Bi, R., Li, Y., Li, H., Kang, W.-B., Yan, Z., Zheng, Q., Sun, C., Ye, M., et al. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.05.020 · Cited by 21 · see citing works

Regulation of microRNAs in Alzheimer´s disease, type 2 diabetes, and aerobic exercise training

Sousa, R. A. L. D., & Caria, A. C. I. (2022) · Metabolic Brain Disease · doi:10.1007/s11011-022-00903-y · Cited by 19 · see citing works

Receptor–ligand interaction controls microglial chemotaxis and amelioration of Alzheimer's disease pathology

Lau, S., Fu, A. K. Y., & Ip, N. Y. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15933 · Cited by 21 · see citing works

Identification of circulating proteins associated with general cognitive function among middle-aged and older adults

Tin, A., Fohner, A. E., Yang, Q., Brody, J. A., Davies, G., Yao, J., Liu, D., Caro, I., Lindbohm, J. V., Duggan, M. R., et al. (2023) · Communications Biology · doi:10.1038/s42003-023-05454-1 · Cited by 20 · see citing works

The APOE gene cluster responds to air pollution factors in mice with coordinated expression of genes that differs by age in humans

Haghani, A., Thorwald, M. A., Morgan, T. E., & Finch, C. E. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12230 · Cited by 19 · see citing works

Haplotype architecture of the Alzheimer's risk in the APOE region via co‐skewness

Kulminski, A. M., Philipp, I., Loika, Y., He, L., & Culminskaya, I. V. (2020) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12129 · Cited by 18 · see citing works

Genome-wide association findings from the brains for dementia research cohort

Young, J., Gallagher, E., Koska, K., Guetta‐Baranes, T., Morgan, K., Thomas, A. J., & Brookes, K. J. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.05.014 · Cited by 19 · see citing works

Genome‐wide profiling of circulatory microRNAs associated with cognition and dementia

Yaqub, A., Mens, M. M. J., Klap, J. M., Weverling, G. J., Klatser, P., Brakenhoff, J. P. J., Roshchupkin, G. V., Ikram, M. K., Ghanbari, M., & Ikram, M. A. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12752 · Cited by 18 · see citing works

Genetic risk for neurodegenerative conditions is linked to disease-specific microglial pathways

Askarova, A., Yaa, R. M., Marzi, S. J., & Nott, A. (2025) · PLoS Genetics · doi:10.1371/journal.pgen.1011407 · Cited by 18 · see citing works

Associations of the APOE ε2 and ε4 alleles and polygenic profiles comprising APOE-TOMM40-APOC1 variants with Alzheimer’s disease biomarkers

Kulminski, A. M., Initiative, A. D. N., Jain‐Washburn, E., Loiko, E., Loika, Y., Feng, F., & Culminskaya, I. V. (2022) · Aging · doi:10.18632/aging.204384 · Cited by 18 · see citing works

Association of Uncommon, Noncoding Variants in the APOE Region With Risk of Alzheimer Disease in Adults of European Ancestry

Blue, E., Cheng, A., Chen, S., & Yu, C. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.17666 · Cited by 16 · see citing works

APOE ɛ4 allele and TOMM40‐APOC1 variants jointly contribute to survival to older ages

Kulminski, A. M., Jain‐Washburn, E., Philipp, I., He, L., Loika, Y., Loiko, E., Bagley, O., Ukraintseva, S. V., Yashin, A. I., Arbeev, K. G., et al. (2022) · Aging Cell · doi:10.1111/acel.13730 · Cited by 14 · see citing works

A simulative deep learning model of SNP interactions on chromosome 19 for predicting Alzheimer's disease risk and rates of disease progression

Bae, J., Logan, P. E., Acri, D. J., Bharthur, A., Nho, K., Saykin, A. J., Risacher, S. L., Nudelman, K., Polsinelli, A. J., Pentchev, V., et al. (2023) · Alzheimer's &amp; Dementia · doi:10.1002/alz.13319 · Cited by 14 · see citing works

Missing lnc(RNAs) in Alzheimer’s Disease?

Policarpo, R., & d’Ydewalle, C. V. O. (2021) · Genes · doi:10.3390/genes13010039 · Cited by 14 · see citing works

Clinical Research Investigating Alzheimer’s Disease in China: Current Status and Future Perspectives Toward Prevention

Wang, Q., Gao, F., Dai, L., Zhang, J., Bi, D., & Shen, Y. (2022) · The journal of prevention of Alzheimer's disease · doi:10.14283/jpad.2022.46 · Cited by 12 · see citing works

A Multi-Task Deep Feature Selection Method for Brain Imaging Genetics

Yu, C., Zhang, S., Shang, M., Guo, L., Han, J., & Du, L. (2023) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2023.3294413 · Cited by 14 · see citing works

Modulation of retinoid-X-receptors differentially regulates expression of apolipoprotein genes apoc1 and apoeb by zebrafish microglia

Thiel, W. A., Esposito, E. J., Findley, A. P., Blume, Z. I., & Mitchell, D. M. (2021) · Biology Open · doi:10.1242/bio.058990 · Cited by 14 · see citing works

Understanding Regulatory Mechanisms of Brain Function and Disease through 3D Genome Organization

Liu, W., Zhong, W., Chen, J. C., Huang, B., Hu, M., & Li, Y. (2022) · Genes · doi:10.3390/genes13040586 · Cited by 11 · see citing works

Inter- and intra-chromosomal modulators of the APOE ɛ2 and ɛ4 effects on the Alzheimer’s disease risk

Nazarian, A., Philipp, I., Culminskaya, I. V., He, L., & Kulminski, A. M. (2022) · GeroScience · doi:10.1007/s11357-022-00617-0 · Cited by 12 · see citing works

SNP2Vec: Scalable Self-Supervised Pre-Training for Genome-Wide Association Study

Cahyawijaya, S., Yu, T., Liu, Z., Zhou, X., Mak, T. W. T., Ip, Y.-Y. N., & Fung, P. (2022) · Workshop on Biomedical Language Processing (BioNLP) · doi:10.18653/v1/2022.bionlp-1.14 · Cited by 14 · see citing works

Protective association of the ε2/ε3 heterozygote with Alzheimer's disease is strengthened by TOMM40–APOE variants in men

Kulminski, A. M., Philipp, I., Loika, Y., He, L., & Culminskaya, I. V. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12413 · Cited by 11 · see citing works

Cross‐sectional study of plasma phosphorylated tau 217 in persons without dementia

Saari, T. T., Palviainen, T., Hiltunen, M. O., Herukka, S., Kokkola, T., Kärkkäinen, S., Urjansson, M., Aaltonen, A., Palotie, A. V., Runz, H., et al. (2025) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70107 · Cited by 11 · see citing works

Statistical power of transcriptome‐wide association studies

He, R., Xue, H., Pan, W., & Initiative, A. D. N. (2022) · Genetic Epidemiology · doi:10.1002/gepi.22491 · Cited by 10 · see citing works

Transethnic analysis identifies SORL1 variants and haplotypes protective against Alzheimer's disease

Zhou, X., Cao, H., Jiang, Y., Chen, Y., Zhong, H., Fu, W. Y., Lo, R. M. N., Wong, B. W. Y., Cheng, E. Y. L., Mok, K. Y., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14214 · Cited by 9 · see citing works

Machine learning methods applied to genotyping data capture interactions between single nucleotide variants in late onset Alzheimer's disease

Arnal, M., Bini, G., Fernández‐Orth, D., Samaras, E. G., Kassis, M., Aisopos, F., Rambla, J., Paliouras, G., Garrard, P., Giambartolomei, C., et al. (2022) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12300 · Cited by 8 · see citing works

Genome‐wide analysis identified abundant genetic modulators of contributions of the apolipoprotein E alleles to Alzheimer's disease risk

Nazarian, A., Loika, Y., He, L., Culminskaya, I. V., & Kulminski, A. M. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12540 · Cited by 7 · see citing works

Characterizing Clinical and Neuropathological Traits of APOE Haplotypes in African Americans and Europeans

Mezlini, A. M., Magdamo, C., Merrill, E., Chibnik, L. B., Blacker, D., Hyman, B. T., & Das, S. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200228 · Cited by 7 · see citing works

DeepSATA: A Deep Learning-Based Sequence Analyzer Incorporating the Transcription Factor Binding Affinity to Dissect the Effects of Non-Coding Genetic Variants

Ma, W., Fu, Y., Bao, Y., Wang, Z., Lei, B., Zheng, W., Wang, C., & Liu, Y. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241512023 · Cited by 6 · see citing works

Unfolding the genotype-to-phenotype black box of cardiovascular diseases through cross-scale modeling

Xi, X., Li, H., Chen, S., Lv, T., Ma, T., Jiang, R., Zhang, P., Wong, W. H., & Zhang, X. (2022) · iScience · doi:10.1016/j.isci.2022.104790 · Cited by 6 · see citing works

Interaction Analysis Reveals Complex Genetic Associations with Alzheimer’s Disease in the CLU and ABCA7 Gene Regions

Nazarian, A., Cook, B., Morado, M., & Kulminski, A. M. (2023) · Genes · doi:10.3390/genes14091666 · Cited by 5 · see citing works

Trustworthy causal biomarker discovery: a multiomics brain imaging genetics-based approach

Zhang, J., Yang, Y. X., Shang, M., Guo, L., Zhang, D., Du, L., Initiative, A. D. N., Zhang, J., Yang, Y. X., Shang, M., et al. (2025) · Bioinformatics · doi:10.1093/bioinformatics/btaf257 · Cited by 5 · see citing works

A multi-task SCCA method for brain imaging genetics and its application in neurodegenerative diseases

Zhang, X., Hao, Y., Zhang, J., Ji, Y., Zou, S.-H., Zhao, S.-J., Xie, S.-Y., & Du, L. (2023) · Comput. Methods Programs Biomed. · doi:10.1016/j.cmpb.2023.107450 · Cited by 4 · see citing works

miRNA-660-3p inhibits malignancy in glioblastoma via negative regulation of APOC1-TGFβ2 signaling pathway

Yang, Z., Yang, L., Sun, Z., Rong, Y., Bai, C., Dong, Q., & Lin, J. J. (2023) · Cancer Biology & Therapy · doi:10.1080/15384047.2023.2281459 · Cited by 5 · see citing works

Analysis of whole genome sequenced cases and controls shows that the association of variants in TOMM40, BCAM, NECTIN2 and APOC1 with late onset Alzheimer’s disease is driven by linkage disequilibrium with APOE ε2/ε3/ε4 alleles

Curtis, D., & Initiative, A. D. N. (2021) · Journal of Neurogenetics · doi:10.1080/01677063.2020.1866569 · Cited by 5 · see citing works

Greenformers : improving computation and memory efficiency in transformer models via low-rank approximation

Cahyawijaya, S. (2021) · arXiv.org · doi:10.14711/thesis-991012980421703412 · Cited by 10 · see citing works

Integration of multiple-omics data to reveal the shared genetic architecture of educational attainment, intelligence, cognitive performance, and Alzheimer’s disease

Wang, F., Wang, G., Yuan, Y., Han, B., Qiu, S., Hu, Y., & Zang, T. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1243879 · Cited by 5 · see citing works

APOE alleles modulate associations of plasma metabolites with variants from multiple genes on chromosome 19q13.3

Nazarian, A., Loiko, E., Yassine, H. N., Finch, C. E., & Kulminski, A. M. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1023493 · Cited by 4 · see citing works

Multi-omics Analyses Reveal Function of Apolipoprotein E in Alternative Splicing and Tumor Immune Microenvironment in Kidney Renal Clear Cell Carcinoma via Pan-cancer Analysis

Leng, X., Liu, J., Jin, A., Zheng, H., Wu, J., Zhong, L., Li, Q., & Li, D. (2024) · Cell Biochemistry and Biophysics · doi:10.1007/s12013-023-01211-7 · Cited by 4 · see citing works

A systems biology-based identification and in vivo functional screening of Alzheimer’s disease risk genes reveal modulators of memory function

Hudgins, A. D., Zhou, S., Arey, R. N., Rosenfeld, M. G., Murphy, C. T., & Suh, Y. (2024) · Neuron · doi:10.1016/j.neuron.2024.04.009 · Cited by 3 · see citing works

Association of APOC1 with cortical atrophy during conversion to Alzheimer’s disease

Oh, S., Kim, S., Kim, J. P., Seo, S. W., Park, B., & Park, H. (2025) · GeroScience · doi:10.1007/s11357-025-01695-6 · Cited by 3 · see citing works

APOE gene region methylation is associated with cognitive performance in middle-aged urban adults

Shen, B., Hernandez, D. G., Chitrala, K. N., Kuczmarski, M. F., Hooten, N. N., Pacheco, N. L., Mode, N. A., Zonderman, A. B., Ezike, N., & Evans, M. K. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.03.010 · Cited by 3 · see citing works

An alternative method of SNP inclusion to develop a generalized polygenic risk score analysis across Alzheimer's disease cohorts

Brookes, K. J., Guetta‐Baranes, T., Thomas, A. J., & Morgan, K. (2023) · Frontiers in Dementia · doi:10.3389/frdem.2023.1120206 · Cited by 3 · see citing works

Improved Multi-task SCCA for Brain Imaging Genetics via Joint Consideration of the Diagnosis, Parameter Decomposition and Network Constraints

Zhang, X., Hao, Y., Zhang, J., Zou, S., Xie, S., & Du, L. (2021) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm52615.2021.9669899 · Cited by 3 · see citing works

TOMM40 and APOC1 variants differentiate the impacts of the APOE ε4 allele on Alzheimer's disease risk across sexes, ages, and ancestries

Kulminski, A. M., Jain‐Washburn, E., Philipp, I., Loika, Y., Loiko, E., & Culminskaya, I. V. (2024) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12600 · Cited by 2 · see citing works

Toward Trustworthy Multi-View Representation With Fine-Grained Explainability Embeddings

Zhang, J., Yang, Y. X., Shang, M., Guo, L., Zhang, D., & Du, L. (2025) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2025.3607141 · Cited by 2 · see citing works

Identifying Susceptibility Genes and Shared Genetic Architecture for Longevity and Muscle Weakness

Lin, Y., Zhang, Y., Lin, S., Wang, S., Que, Z., Zhang, Y., She, J., Zhao, R., Chen, J., Qiu, A., et al. (2026) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.70197 · Cited by 2 · see citing works

GWAS on short tandem repeats identifies genetic mechanisms in Alzheimer’s disease

Gmelin, D., Ohlei, O., Aslam, M., Junge, M., Parkkinen, L., Mullin, K., Prokopenko, D., Lill, C., Tanzi, R., Dobricic, V., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-73902-7 · Cited by 3 · see citing works

MUNIn: A statistical framework for identifying long-range chromatin interactions from multiple samples

Liu, W., Yang, Y., Abnousi, A., Zhang, Q., Kubo, N., Beem, J. S. M., Li, Y., & Hu, M. (2021) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2021.100036 · Cited by 2 · see citing works

Effect of plant extracts against Alzheimer’s disease

Obulesu, M. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-95762-5.00001-1 · Cited by 2 · see citing works

Utilising Polygenic Risk Score Analysis for AD to Determine the “Sphere of Influence” of the APOE Isoform SNPs

Farrell, C., & Brookes, K. J. (2022) · Journal of Neurology and Neuromedicine · doi:10.29245/2572.942x/2022/2.1284 · Cited by 2 · see citing works

Bayesian Genome-wide TWAS method to leverage both cis- and trans- eQTL information through summary statisticsPreprint

Luningham, J. M., Chen, J., Tang, S., Jager, P. L. D., Bennett, D. A., Buchman, A. S., & Yang, J. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.05.979187 · Cited by 2 · see citing works

SCAMPI: A scalable statistical framework for genome-wide interaction testing harnessing cross-trait correlationsPreprint

Bian, S., Bass, A. J., Liu, Y., Wingo, A. P., Wingo, T. S., Cutler, D. J., & Epstein, M. P. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.10.612314 · Cited by 2 · see citing works

Association of whole-person eigen-polygenic risk scores with Alzheimer’s disease

Kharaghani, A., Tio, E. S., Milic, M. S., Bennett, D. A., Jager, P. L. D., Schneider, J. A., Sun, L., & Felsky, D. (2024) · Human Molecular Genetics · doi:10.1093/hmg/ddae067 · Cited by 1 · see citing works

Os impactos da neuroinflamação na Doença de Alzheimer

Resende, A. C. G., & Brand, C. (2023) · Clinical & Biomedical Research · doi:10.22491/2357-9730.120200 · Cited by 2 · see citing works

APOE mRNA and protein expression in postmortem brain are modulated by an extended haplotype structure

Bekris, L. M., Galloway, N. M., Montine, T. J., Schellenberg, G. D., & Yu, C. (2009) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.30993 · Cited by 63 · see citing works

Initial Assessment of the Pathogenic Mechanisms of the Recently Identified Alzheimer Risk Loci

Holton, P., Ryten, M., Nalls, M., Trabzuni, D., Weale, M. E., Hernandez, D., Crehan, H., Gibbs, J. R., Mayeux, R., Haines, J. L., et al. (2013) · Annals of Human Genetics · doi:10.1111/ahg.12000 · Cited by 48 · see citing works

An APOE Haplotype Associated with Decreased ε4 Expression Increases the Risk of Late Onset Alzheimer's Disease

Lescai, F., Chiamenti, A. M., Codemo, A., Pirazzini, C., D'Agostino, G., Ruaro, C., Ghidoni, R., Benussi, L., Galimberti, D., Esposito, F., et al. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-101764 · Cited by 68 · see citing works

Search for the fourth elusive haplotype of the APO E2/E3/E4 polymorphism and its potential effect on AD risk

Cheema, A. N., Lawrence, E., Zafari, N., Fan, K.-H., Aslam, M., Acharya, V., Bedison, M. A., Feingold, E., & Kamboh, M. I. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.089595 · Cited by 1 · see citing works

Brain-region-aware genetic prioritization separates Alzheimer disease risk from APOE-sensitive β-amyloid burden in public genetic and expression quantitative trait locus resourcesPreprint

Chen, R., & Bi, X. (2026) · Research Square · doi:10.21203/rs.3.rs-10006828/v1