A genome-wide search for pleiotropy in more than 100,000 harmonized longitudinal cognitive domain scores
Open accessAbstract
Abstract Background More than 75 common variant loci account for only a portion of the heritability for Alzheimer’s disease (AD). A more complete understanding of the genetic basis of AD can be deduced by exploring associations with AD-related endophenotypes. Methods We conducted genome-wide scans for cognitive domain performance using harmonized and co-calibrated scores derived by confirmatory factor analyses for executive function, language, and memory. We analyzed 103,796 longitudinal observations from 23,066 members of community-based (FHS, ACT, and ROSMAP) and clinic-based (ADRCs and ADNI) cohorts using generalized linear mixed models including terms for SNP, age, SNP × age interaction, sex, education, and five ancestry principal components. Significance was determined based on a joint test of the SNP’s main effect and interaction with age. Results across datasets were combined using inverse-variance meta-analysis. Genome-wide tests of pleiotropy for each domain pair as the outcome were performed using PLACO software. Results Individual domain and pleiotropy analyses revealed genome-wide significant (GWS) associations with five established loci for AD and AD-related disorders ( BIN1 , CR1 , GRN , MS4A6A , and APOE ) and eight novel loci. ULK2 was associated with executive function in the community-based cohorts (rs157405, P = 2.19 × 10 –9 ). GWS associations for language were identified with CDK14 in the clinic-based cohorts (rs705353, P = 1.73 × 10 –8 ) and LINC02712 in the total sample (rs145012974, P = 3.66 × 10 –8 ). GRN (rs5848, P = 4.21 × 10 –8 ) and PURG (rs117523305, P = 1.73 × 10 –8 ) were associated with memory in the total and community-based cohorts, respectively. GWS pleiotropy was observed for language and memory with LOC107984373 (rs73005629, P = 3.12 × 10 –8 ) in the clinic-based cohorts, and with NCALD (rs56162098, P = 1.23 × 10 –9 ) and PTPRD (rs145989094, P = 8.34 × 10 –9 ) in the community-based cohorts. GWS pleiotropy was also found for executive function and memory with OSGIN1 (rs12447050, P = 4.09 × 10 –8 ) and PTPRD (rs145989094, P = 3.85 × 10 –8 ) in the community-based cohorts. Functional studies have previously linked AD to ULK2 , NCALD , and PTPRD . Conclusion Our results provide some insight into biological pathways underlying processes leading to domain-specific cognitive impairment and AD, as well as a conduit toward a syndrome-specific precision medicine approach to AD. Increasing the number of participants with harmonized cognitive domain scores will enhance the discovery of additional genetic factors of cognitive decline leading to AD and related dementias.
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Variant rs73270956 has been linked to memory performance in humans by a GWAS study.
“It is interesting to note that the variant rs73270956 has been linked to memory performance in humans by a Genome-wide association studies (GWAS) study (Kang et al. 2023).”
From The Human Accelerated Region HAR202 Controls <i>NPAS3</i> Expression in the Developing Forebrain Displaying Differential Enhancer Activity Between Modern and Archaic Human Sequences (2024) · cites this paper as Kang et al. 2023
The Results section reports GWAS associations with memory for other variants, including rs6733839 and rs5848 (page unavailable). Searches for rs73270956 and for its alleged link to memory performance returned no passage about that variant, so our copy does not establish the specific claim. (LLM, conf=0.76)
Experimental — accuracy not yet measuredA GWAS catalog SNP included in HAR202 (rs73270956) has been associated with cognitive function, more particularly with memory performance and language impairment.
“we did find a GWAS catalog SNP included in HAR202 that has been associated with cognitive function (rs73270956), more particularly with memory performance and language impairment (Kang et al. 2023).”
From The Human Accelerated Region HAR202 Controls <i>NPAS3</i> Expression in the Developing Forebrain Displaying Differential Enhancer Activity Between Modern and Archaic Human Sequences (2024) · cites this paper as Kang et al. 2023
The Results section reports associations between other SNPs and memory or language, but the passages retrieved for rs73270956 do not mention that variant. A search for HAR202 and the claimed memory-performance and language-impairment association also found no passage addressing it; the paper’s general cognitive-domain findings cannot verify the claim about this specific SNP. (LLM, conf=0.72)
Experimental — accuracy not yet measuredThe variant rs73270956 located in HAR202 has been linked to deficits in memory performance in humans by a GWAS study.
“On the other hand, the variant rs73270956 located in HAR202 has been linked to deficits in memory performance in humans by a GWAS study (Kang et al. 2023), suggesting an involvement in cognitive function.”
From The Human Accelerated Region HAR202 Controls <i>NPAS3</i> Expression in the Developing Forebrain Displaying Differential Enhancer Activity Between Modern and Archaic Human Sequences (2024) · cites this paper as Kang et al. 2023
The Results section reports GWAS associations with memory performance for other variants, but does not identify rs73270956 or HAR202. Searches of our copy for both terms found no passage linking that variant to memory deficits; page numbers were not available. (LLM, conf=0.76)
Experimental — accuracy not yet measured
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
GCTA: a tool for genome-wide complex trait analysis
Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.11.011 · Cited by 8,279 · see citing works
Causal analysis approaches in Ingenuity Pathway Analysis
Krämer, A., Green, J., Pollard, J., & Tugendreich, S. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt703 · Cited by 5,724 · see citing works
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559 · see citing works
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205 · 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
An 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
Robust relationship inference in genome-wide association studies
Manichaikul, A., Mychaleckyj, J. C., Rich, S. S., Daly, K., Sale, M., & Chen, W.-M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq559 · Cited by 3,541 · see citing works
Harold, D., Abraham, R., Hollingworth, P., Sims, R., Gerrish, A., Hamshere, M. L., Pahwa, J. S., Moskvina, V., Dowzell, K., Williams, A., et al. (2009) · Nature Genetics · doi:10.1038/ng.440 · Cited by 3,326 · see citing works
Alzheimer Disease Genetics Consortium (ADGC), Kunkle, B. W., The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, P. A. E. R. F. A. D. C. (., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0358-2 · Cited by 2,946 · see citing works
Alzheimer's Disease Neuroimaging Initiative (ADNI)
Petersen, R. C., Aisen, P. S., Beckett, L. A., Donohue, M. C., Gamst, A. C., Harvey, D. J., Jack, C. R., Jagust, W. J., Shaw, L. M., Toga, A. W., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181cb3e25 · Cited by 2,572 · see citing works
New insights into the genetic etiology of Alzheimer’s disease and related dementias
Bellenguez, C., Küçükali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., Naj, A. C., Campos-Martin, R., Grenier-Boley, B., Andrade, V., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01024-z · Cited by 2,498 · see citing works
23andMe Research Team, Lee, J. J., COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Consortium, Wedow, R., Okbay, A., Kong, E., Maghzian, O., Zacher, M., Nguyen-Viet, T. A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0147-3 · Cited by 2,470 · cited 1× · see citing works
“Although the function of PURG is unknown, a SNP in this gene showed significant associations in GWAS of cognitive performance and intelligence [111, 112].”
BackgroundMeta-analysis of the heritability of human traits based on fifty years of twin studies
Polderman, T. J. C., Benyamin, B., de Leeuw, C. A., Sullivan, P. F., van Bochoven, A., Visscher, P. M., & Posthuma, D. (2015) · Nature Genetics · doi:10.1038/ng.3285 · Cited by 2,467 · see citing works
Nalls, M. A., Blauwendraat, C., Vallerga, C. L., Heilbron, K., Bandres-Ciga, S., Chang, D., Tan, M., Kia, D. A., Noyce, A. J., Xue, A., et al. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(19)30320-5 · Cited by 2,454 · see citing works
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
Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease
the European Alzheimer's Disease Initiative Investigators, Lambert, J.-C., Heath, S., Even, G., Campion, D., Sleegers, K., Hiltunen, M., Combarros, O., Zelenika, D., Bullido, M. J., et al. (2009) · Nature Genetics · doi:10.1038/ng.439 · Cited by 2,234 · see citing works
Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program
Taliun, D., Harris, D. N., Kessler, M. D., Carlson, J., Szpiech, Z. A., Torres, R., Taliun, S. A. G., Corvelo, A., Gogarten, S. M., Kang, H. M., et al. (2021) · Nature · doi:10.1038/s41586-021-03205-y · Cited by 2,213 · see citing works
Analysis of shared heritability in common disorders of the brain
The Brainstorm Consortium, Anttila, V., Bulik-Sullivan, B., Finucane, H. K., Walters, R. K., Bras, J., Duncan, L., Escott-Price, V., Falcone, G. J., Gormley, P., et al. (2018) · Science · doi:10.1126/science.aap8757 · Cited by 1,924 · see citing works
Naj, A. C., Jun, G., Beecham, G. W., Wang, L.-S., Vardarajan, B. N., Buros, J., Gallins, P. J., Buxbaum, J. D., Jarvik, G. P., Crane, P. K., et al. (2011) · Nature Genetics · doi:10.1038/ng.801 · Cited by 1,901 · see citing works
Self-citationNrf2 suppresses macrophage inflammatory response by blocking proinflammatory cytokine transcription
Kobayashi, E. H., Suzuki, T., Funayama, R., Nagashima, T., Hayashi, M., Sekine, H., Tanaka, N., Moriguchi, T., Motohashi, H., Nakayama, K., et al. (2016) · Nature Communications · doi:10.1038/ncomms11624 · Cited by 1,878 · see citing works
Role of Genes and Environments for Explaining Alzheimer Disease
Gatz, M., Reynolds, C. A., Fratiglioni, L., Johansson, B., Mortimer, J. A., Berg, S., Fiske, A., & Pedersen, N. L. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.2.168 · Cited by 1,798 · see citing works
Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report
Nelson, P. T., Dickson, D. W., Trojanowski, J. Q., Jack, C. R., Boyle, P. A., Arfanakis, K., Rademakers, R., Alafuzoff, I., Attems, J., Brayne, C., et al. (2019) · Brain · doi:10.1093/brain/awz099 · Cited by 1,547 · see citing works
The Alzheimer's Disease Neuroimaging Initiative
Mueller, S. G., Weiner, M. W., Thal, L. J., Petersen, R. C., Jack, C., Jagust, W., Trojanowski, J. Q., Toga, A. W., & Beckett, L. (2005) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2005.09.008 · Cited by 1,525 · see citing works
Religious Orders Study and Rush Memory and Aging Project
Bennett, D. A., Buchman, A. S., Boyle, P. A., Barnes, L. L., Wilson, R. S., & Schneider, J. A. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-179939 · Cited by 1,260 · see citing works
Linker, R. A., Lee, D.-H., Ryan, S., van Dam, A. M., Conrad, R., Bista, P., Zeng, W., Hronowsky, X., Buko, A., Chollate, S., et al. (2011) · Brain · doi:10.1093/brain/awq386 · Cited by 1,155 · see citing works
Pleiotropy in complex traits: challenges and strategies
Solovieff, N., Cotsapas, C., Lee, P. H., Purcell, S. M., & Smoller, J. W. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3461 · Cited by 1,085 · see citing works
Wightman, D. P., Jansen, I. E., Savage, J. E., Shadrin, A. A., Bahrami, S., Holland, D., Rongve, A., Børte, S., Winsvold, B. S., Drange, O. K., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00921-z · Cited by 1,011 · see citing works
The framingham offspring study. Design and preliminary data
Feinleib, M., Kannel, W. B., Garrison, R. J., McNamara, P. M., & Castelli, W. P. (1975) · Preventive Medicine · doi:10.1016/0091-7435(75)90037-7 · Cited by 931 · see citing works
The National Alzheimer's Coordinating Center (NACC) Database: The Uniform Data Set
Beekly, D. L., Ramos, E. M., Lee, W. W., Deitrich, W. D., Jacka, M. E., Wu, J., Hubbard, J. L., Koepsell, T. D., Morris, J. C., & Kukull, W. A. (2007) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e318142774e · Cited by 907 · see citing works
Zheng, J., Erzurumluoglu, A. M., Elsworth, B. L., Kemp, J. P., Howe, L., Haycock, P. C., Hemani, G., Tansey, K., Laurin, C., Early Genetics and Lifecourse Epidemiology (EAGLE) Eczema Consortium, et al. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw613 · Cited by 869 · see citing works
Splansky, G. L., Corey, D., Yang, Q., Atwood, L. D., Cupples, L. A., Benjamin, E. J., D'Agostino, R. B., Fox, C. S., Larson, M. G., Murabito, J. M., et al. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwm021 · Cited by 860 · see citing works
Dementia and Alzheimer Disease Incidence: A Prospective Cohort Study
Kukull, W. A., Higdon, R., Bowen, J. D., McCormick, W. C., Teri, L., Schellenberg, G. D., van Belle, G., Jolley, L., & Larson, E. B. (2002) · Archives of Neurology · doi:10.1001/archneur.59.11.1737 · Cited by 806 · see citing works
Self-citationGenetics and intelligence differences: five special findings
Plomin, R., & Deary, I. J. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.105 · Cited by 702 · see citing works
Davies, G., Lam, M., Harris, S. E., Trampush, J. W., Luciano, M., Hill, W. D., Hagenaars, S. P., Ritchie, S. J., Marioni, R. E., Fawns‐Ritchie, C., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04362-x · Cited by 668 · see citing works
Lee, S. H., Yang, J., Goddard, M. E., Visscher, P. M., & Wray, N. R. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts474 · Cited by 635 · see citing works
The Alzheimer's Disease Neuroimaging Initiative: Progress report and future plans
Weiner, M. W., Aisen, P. S. S., Jack, C. R., Jagust, W. J., Trojanowski, J. Q., Shaw, L. M. J., Saykin, A. J., Morris, J. C., Cairns, N. J., Beckett, L. A., et al. (2010) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.03.007 · Cited by 599 · see citing works
Seshadri, S., Wolf, P. A., Beiser, A., Au, R., McNulty, K., White, R., & D'Agostino, R. B. (1997) · Neurology · doi:10.1212/wnl.49.6.1498 · Cited by 489 · see citing works
One Hundred Years of Pleiotropy: A Retrospective
Stearns, F. W. (2010) · Genetics · doi:10.1534/genetics.110.122549 · Cited by 484 · see citing works
Genetic association testing using the GENESIS R/Bioconductor package
Gogarten, S. M., Sofer, T., Chen, H., Yu, C., Brody, J. A., Thornton, T. A., Rice, K. M., & Conomos, M. P. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz567 · Cited by 447 · see citing works
Paaby, A. B., & Rockman, M. V. (2012) · Trends in Genetics · doi:10.1016/j.tig.2012.10.010 · Cited by 423 · see citing works
Damme, P. V., Hoecke, A. V., Lambrechts, D., Vanacker, P., Bogaert, E., Swieten, J. C. V., Carmeliet, P., Bosch, L. V. D., & Robberecht, W. (2008) · The Journal of Cell Biology · doi:10.1083/jcb.200712039 · Cited by 421 · see citing works
Conomos, M. P., Miller, M. B., & Thornton, T. A. (2015) · Genetic Epidemiology · doi:10.1002/gepi.21896 · Cited by 416 · see citing works
Chen, H., Wang, C., Conomos, M. P., Stilp, A. M., Li, Z., Sofer, T., Szpiro, A. A., Chen, W., Brehm, J. M., Celedon, J. C., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.02.012 · Cited by 415 · see citing works
Model-free Estimation of Recent Genetic Relatedness
Conomos, M. P., Reiner, A. P., Weir, B. S., & Thornton, T. A. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.11.022 · Cited by 397 · see citing works
Genetic correlations of polygenic disease traits: from theory to practice
van Rheenen, W., Peyrot, W. J., Schork, A. J., Lee, S., & Wray, N. R. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0137-z · Cited by 385 · see citing works
Mackenzie, I. R., & Neumann, M. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13588 · Cited by 374 · see citing works
Davies, G., Marioni, R. E., Liewald, D. C., Hill, W. D., Hagenaars, S. P., Harris, S. E., Ritchie, S. J., Luciano, M., Fawns-Ritchie, C., Lyall, D., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.45 · Cited by 373 · see citing works
The National Alzheimer's Coordinating Center (NACC) Database: an Alzheimer disease database.
Beekly, D. L., Ramos, E. M., van Belle, G., Deitrich, W. D., Clark, A. D., Jacka, M. E., & Kukull, W. A. (2004) · PubMed · Cited by 345 · see citing works
Alzheimer’s disease: analyzing the missing heritability
Ridge, P. G., Mukherjee, S., Crane, P. K., Kauwe, J. S. K., & Alzheimer’s Disease Genetics Consortium (2013) · PLoS ONE · doi:10.1371/journal.pone.0079771 · Cited by 328 · see citing works
Hill, W. D., Marioni, R. E., Maghzian, O., Ritchie, S. J., Hagenaars, S. P., McIntosh, A. M., Gale, C. R., Davies, G., & Deary, I. J. (2019) · Molecular Psychiatry · doi:10.1038/s41380-017-0001-5 · Cited by 311 · see citing works
Rademakers, R., Eriksen, J. L., Baker, M. C., Robinson, T., Ahmed, Z., Lincoln, S., Finch, N. A., Rutherford, N. J., Crook, R., Josephs, K. A., et al. (2008) · Human Molecular Genetics · doi:10.1093/hmg/ddn257 · Cited by 290 · see citing works
Genes and pathways underlying regional and cell type changes in Alzheimer’s disease
Miller, J. A., Woltjer, R. L., Goodenbour, J. M., Horvath, S., & Geschwind, D. H. (2013) · Genome Medicine · doi:10.1186/gm452 · Cited by 275 · see citing works
Trampush, J. W., Yang, M. L. Z., Yu, J., Knowles, E., Davies, G., Liewald, D. C., Starr, J. M., Djurovic, S., Melle, I., Sundet, K., et al. (2017) · Molecular Psychiatry · doi:10.1038/mp.2016.244 · Cited by 271 · see citing works
Rietveld, 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
Ray, D., & Chatterjee, N. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1009218 · Cited by 236 · see citing works
(ADNI), A. D. N. I., Deming, Y., The Alzheimer Disease Genetic Consortium (ADGC), Li, Z., Kapoor, M., Harari, O., Del-Aguila, J. L., Black, K., Carrell, D., Cai, Y., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1685-y · Cited by 231 · see citing works
The kinship2 R Package for Pedigree Data
Sinnwell, J. P., Therneau, T. M., & Schaid, D. J. (2014) · Human Heredity · doi:10.1159/000363105 · Cited by 218 · see citing works
Lee, S. H., Harold, D., Nyholt, D. R., ANZGene Consortium, International Endogene Consortium, the Genetic and Environmental Risk for Alzheimer's disease (GERAD1) Consortium, Goddard, M. E., Zondervan, K. T., Williams, J., Montgomery, G. W., et al. (2013) · Human Molecular Genetics · doi:10.1093/hmg/dds491 · Cited by 217 · see citing works
Progranulin as a therapeutic target in neurodegenerative diseases
Rhinn, H., Tatton, N., McCaughey, S., Kurnellas, M., & Rosenthal, A. (2022) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2021.11.015 · Cited by 208 · see citing works
Cerebrospinal fluid APOE levels: an endophenotype for genetic studies for Alzheimer's disease
Cruchaga, C., Kauwe, J. S. K., Nowotny, P., Bales, K., Pickering, E. H., Mayo, K., Bertelsen, S., Hinrichs, A., Fagan, A. M., Holtzman, D. M., et al. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds296 · Cited by 207 · see citing works
Manning, A. K., LaValley, M. P., Liu, C.-T., Rice, K. M., An, P., Liu, Y., Miljkovic, I., Rasmussen‐Torvik, L. J., Harris, T. B., Province, M. A., et al. (2010) · Genetic Epidemiology · doi:10.1002/gepi.20546 · Cited by 184 · see citing works
The Framingham Study An Epidemiological Approach to Coronary Heart Disease
Dawber, T. R., & Kannel, W. B. (1966) · Circulation · doi:10.1161/01.cir.34.4.553 · Cited by 177 · see citing works
Meta-Analysis of Genome-wide Association Studies with Overlapping Subjects
Lin, D.-Y., & Sullivan, P. F. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.11.001 · Cited by 156 · see citing works
GWAS for executive function and processing speed suggests involvement of the CADM2 gene
Ibrahim-Verbaas, C. A., Bressler, J., Debette, S., Schuur, M., Smith, A. V., Bis, J. C., Davies, G., Trompet, S., Smith, J. A., Wolf, C., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.37 · Cited by 147 · see citing works
Vounou, M., Janoušová, E., Wolz, R., Stein, J. L., Thompson, P. M., Rueckert, D., & Montana, G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.029 · Cited by 147 · see citing works
Progranulin: normal function and role in neurodegeneration
Eriksen, J. L., & Mackenzie, I. R. A. (2008) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2007.04968.x · Cited by 144 · see citing works
Ravetti, M. G., Rosso, O. A., Berretta, R. E., & Moscato, P. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010153 · Cited by 140 · see citing works
Genetic variants and functional pathways associated with resilience to Alzheimer’s disease
Dumitrescu, L. C., Mahoney, E. R., Mukherjee, S., Lee, M. L., Bush, W. S., Engelman, C. D., Lu, Q., Fardo, D. W., Trittschuh, E. H., Mez, J. B., et al. (2020) · Brain · doi:10.1093/brain/awaa209 · Cited by 140 · see citing works
TDP-43 pathology and memory impairment in elders without pathologic diagnoses of AD or FTLD
Nag, S., Yu, L., Wilson, R. S., Chen, E., Bennett, D. A., & Schneider, J. A. (2017) · Neurology · doi:10.1212/wnl.0000000000003610 · Cited by 130 · see citing works
The genetics of cognitive ability and cognitive ageing in healthy older people
Harris, S. E., & Deary, I. J. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.07.004 · Cited by 122 · see citing works
Lee, A., Kondapalli, C., Virga, D. M., Lewis, T. L., Koo, S. Y., Ashok, A., Mairet‐Coello, G., Herzig, S., Foretz, M., Viollet, B., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32130-5 · Cited by 113 · see citing works
Cognitive domain harmonization and cocalibration in studies of older adults.
Mukherjee, S., Choi, S., Lee, M. L., Scollard, P., Trittschuh, E. H., Mez, J. B., Saykin, A. J., Gibbons, L. E., Sanders, R. E., Zaman, A. F., et al. (2022) · Neuropsychology · doi:10.1037/neu0000835 · Cited by 108 · see citing works
Behavior of QQ-Plots and Genomic Control in Studies of Gene-Environment Interaction
Voorman, A., Lumley, T., McKnight, B., & Rice, K. M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019416 · Cited by 107 · 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
Sex differences in the genetic architecture of cognitive resilience to Alzheimer’s disease
Eissman, J. M., Dumitrescu, L. C., Mahoney, E. R., Smith, A. N., Mukherjee, S., Lee, M. L., Scollard, P., Choi, S. E., Bush, W. S., Engelman, C. D., et al. (2022) · Brain · doi:10.1093/brain/awac177 · Cited by 102 · see citing works
Seshadri, S., Beiser, A., Au, R., Wolf, P. A., Evans, D. A., Wilson, R. S., Petersen, R. C., Knopman, D. S., Rocca, W. A., Kawas, C. H., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2010.12.002 · Cited by 97 · see citing works
Self-citationGenetic data and cognitively defined late-onset Alzheimer’s disease subgroups
EPAD Study Group, Mukherjee, S., Investigators from ACT, Investigators from ROS, Investigators from MAP, Investigators from ADNI, Mez, J. B., Trittschuh, E. H., Saykin, A. J., Gibbons, L. E., et al. (2018) · Molecular Psychiatry · doi:10.1038/s41380-018-0298-8 · Cited by 89 · see citing works
Progranulin protein levels are differently regulated in plasma and CSF
Nicholson, A. M., Finch, N. A., Thomas, C. S., Wojtas, A., Rutherford, N. J., Mielke, M. M., Roberts, R. O., Boeve, B. F., Knopman, D. S., Petersen, R. C., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000445 · Cited by 86 · see citing works
Silver, M. J., Janoušová, E., Hua, X., Thompson, P. M., & Montana, G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.002 · Cited by 86 · see citing works
Debette, S., Ibrahim‐Verbaas, C. A., Bressler, J., Schuur, M., Smith, A. V., Bis, J. C., Davies, G., Wolf, C., Gudnason, V. G., Chibnik, L. B., et al. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.08.027 · Cited by 79 · see citing works
(ADNI), F. T. A. D. N. I., Yan, Q., Nho, K., Del-Aguila, J. L., Wang, X., Risacher, S. L., Fan, K.-H., Snitz, B. E., Aizenstein, H. J., Mathis, C. A., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-018-0246-7 · Cited by 73 · see citing works
Chibnik, L. B., White, C. C., Mukherjee, S., Raj, T., Yu, L., Larson, E. B., Montine, T. J., Keene, C. D., Sonnen, J. A., Schneider, J. A., et al. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.20 · Cited by 69 · see citing works
Crane, P. K., Trittschuh, E. H., Mukherjee, S., Saykin, A. J., Sanders, R. E., Larson, E. B., McCurry, S. M., McCormick, W. C., Bowen, J. D., Grabowski, T. J., et al. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.04.011 · Cited by 68 · see citing works
Genome‐wide association study of Alzheimer's disease endophenotypes at prediagnosis stages
Chung, J., Wang, X., Maruyama, T., Ma, Y., Zhang, X., Mez, J., Sherva, R., Takeyama, H., Initiative, T. A. D. N., Lunetta, K. L., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.11.006 · Cited by 67 · see citing works
A potential endophenotype for Alzheimer's disease: cerebrospinal fluid clusterin
Deming, Y., Xia, J., Cai, Y., Lord, J., Holmans, P., Bertelsen, S., Holtzman, D., Morris, J. C., Bales, K., Pickering, E. H., et al. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.09.009 · Cited by 66 · see citing works
Jun, G., Moncaster, J. A., Koutras, C., Seshadri, S. S., Buros, J. L., McKee, A. C., Lévesque, G., Wolf, P. A., George‐Hyslop, P. S., Goldstein, L. E., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043728 · Cited by 66 · see citing works
Wirz, K. T. S., Bossers, K., Stargardt, A., Kamphuis, W., Swaab, D. F., Hol, E. M., & Verhaagen, J. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.11.008 · Cited by 65 · see citing works
The Molecular and Neuropathological Consequences of Genetic Risk for Alzheimer's Dementia
Tasaki, S., Gaiteri, C., Mostafavi, S., Jager, P. L. D., & Bennett, D. A. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00699 · Cited by 58 · see citing works
Imaging-wide association study: integrating imaging endophenotypes in GWAS
Xu, Z., Wu, C., & Pan, W. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.036 · Cited by 56 · see citing works
Sherva, R., Gross, A., Mukherjee, S., Koesterer, R., Amouyel, P., Bellenguez, C., Dufouil, C., Bennett, D. A., Chibnik, L., Cruchaga, C., et al. (2020) · Alzheimer's & Dementia · doi:10.1002/alz.12106 · Cited by 54 · see citing works
Ray, D., Venkataraghavan, S., Zhang, W., Leslie, E. J., Hetmanski, J. B., Weinberg, S. M., Murray, J. C., Marazita, M. L., Ruczinski, I., Taub, M. A., et al. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009584 · Cited by 54 · see citing works
Kim, B. M., You, M., Chen, C.-H., Suh, J., Tanzi, R. E., & Lee, T. H. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw114 · Cited by 52 · see citing works
Correcting Systematic Inflation in Genetic Association Tests That Consider Interaction Effects
Almli, L. M., Duncan, R., Feng, H., Ghosh, D., Binder, E. B., Bradley, B., Ressler, K. J., Conneely, K. N., & Epstein, M. P. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.1339 · Cited by 51 · see citing works
Xu, H., Tan, L., Tan, M., Tan, M., Zheng, Z.-J., Zheng, Z.-J., Kong, L.-L., Wang, Z.-X., Jiang, T., Tan, L., et al. (2016) · Molecular Neurobiology · doi:10.1007/s12035-016-9698-4 · Cited by 51 · see citing works
Homann, J., Osburg, T., Ohlei, O., Dobricic, V., Deecke, L., Bos, I., Vandenberghe, R., Gabel, S., Scheltens, P., Teunissen, C. E., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.840651 · Cited by 46 · see citing works
Knutson, K. A., Deng, Y., & Pan, W. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117347 · Cited by 41 · 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
Gross, A. L., Hassenstab, J. J., Johnson, S. C., Clark, L. R., Resnick, S. M., Kitner‐Triolo, M. H., Masters, C. L., Maruff, P. T., Morris, J. C., Soldan, A., et al. (2017) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2017.05.003 · Cited by 37 · see citing works
Genome-wide pleiotropy analysis of neuropathological traits related to Alzheimer’s disease
Chung, J., Zhang, X., Allen, M., Wang, X., Ma, Y., Beecham, G. W., Montine, T. J., Younkin, S. G., Dickson, D. W., Golde, T. E., et al. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0349-z · Cited by 37 · see citing works
Scollard, P., Choi, S., Lee, M. L., Mukherjee, S., Trittschuh, E. H., Sanders, R. E., Gibbons, L. E., Joshi, P. S., Devine, S., Au, R., et al. (2023) · Neuropsychology · doi:10.1037/neu0000828 · Cited by 32 · see citing works
Groot, C., Grothe, M. J., Mukherjee, S., Jelistratova, I., Jansen, I. E., van Loenhoud, A. C., Risacher, S. L., Saykin, A. J., Donald, C. L. M., Mez, J., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102660 · Cited by 31 · see citing works
Efficient gene–environment interaction tests for large biobank‐scale sequencing studies
Wang, X., Lim, E., Liu, C., Sung, Y. J., Rao, D. C., Morrison, A. C., Boerwinkle, E., Manning, A. K., & Chen, H. (2020) · Genetic Epidemiology · doi:10.1002/gepi.22351 · Cited by 28 · see citing works
Progranulin mutations in clinical and neuropathological Alzheimer's disease
Vardarajan, B. N., Reyes‐Dumeyer, D., Piriz, A. L., Lantigua, R., Medrano, M. Z., Rivera, D., Jiménez‐Velázquez, I. Z., Martin, E. R., Pericak‐Vance, M. A., Bush, W. S., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12567 · Cited by 26 · see citing works
Frontotemporal lobar degeneration through loss of progranulin function
Goedert, M., & Spillantini, M. G. (2006) · Brain · doi:10.1093/brain/awl291 · Cited by 22 · see citing works
Shimohama, S., Chachin, M., Taniguchi, T., Hidaka, H., & Kimura, J. (1996) · Brain Research · doi:10.1016/0006-8993(96)00070-4 · Cited by 19 · see citing works
Longitudinal cognitive performance of Alzheimer's disease neuropathological subtypes
Uretsky, M., Gibbons, L. E., Mukherjee, S., Trittschuh, E. H., Fardo, D. W., Boyle, P. A., Keene, C. D., Saykin, A. J., Crane, P. K., Schneider, J. A., et al. (2021) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12201 · Cited by 15 · see citing works
Expression of circular RNAs in the vascular dementia rats
Huang, Y., Liao, X., Luo, J., Liu, H., Zhong, S., & Chen, J. (2020) · Neuroscience Letters · doi:10.1016/j.neulet.2020.135087 · Cited by 14 · see citing works
Integrating brain imaging endophenotypes with GWAS for Alzheimer’s disease
Knutson, K. A., & Pan, W. (2020) · Quantitative Biology · doi:10.1007/s40484-020-0202-9 · Cited by 14 · see citing works
Holland, D., Frei, O., Desikan, R. S., Fan, C.-C., Shadrin, A. A., Smeland, O. B., Andreassen, O. A., & Dale, A. M. (2021) · Genetics · doi:10.1093/genetics/iyaa046 · Cited by 14 · see citing works
Ma, W., Ding, B., Yuan, L., Zhao, L. Q., Yu, H., Xi, Y., & Xiao, R. (2018) · African Health Sciences · doi:10.4314/ahs.v17i4.32 · Cited by 13 · see citing works
Kang, W. S., Lee, S. M., Hwang, D., Park, H. J., & Kim, J. W. (2022) · Medicine · doi:10.1097/md.0000000000028745 · Cited by 6 · see citing works
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Logue, M. W., Dasgupta, S., & Farrer, L. A. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12165189 · Cited by 28 · see citing works
Zhan, H., Cammann, D., Cummings, J. L., Dong, X., & Chen, J. (2025) · Journal of Translational Medicine · doi:10.1186/s12967-025-06317-5 · Cited by 17 · see citing works
Rehman, H., Ang, T. F. A., Tao, Q., Au, R., Farrer, L. A., Qiu, W. Q., Zhang, X., & Initiative, A. D. N. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70066 · Cited by 9 · see citing works
Caporale, A. L., Cinalli, A. R., Rubinstein, M., & Franchini, L. F. (2024) · Molecular Biology and Evolution · doi:10.1093/molbev/msae186 · Cited by 7 · see citing works
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Life, B. E., & Leavitt, B. R. (2025) · Trends in Neurosciences · doi:10.1016/j.tins.2025.05.004 · Cited by 8 · see citing works
Kanda, A., Rani, A., & Mazumder, A. (2025) · Pharmacogenomics · doi:10.1080/14622416.2025.2560296 · Cited by 8 · see citing works
Li, D., Han, X., Farrer, L. A., Stein, T. D., & Jun, G. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.090972 · Cited by 5 · see citing works
Hu, Y., Che, M., & Heping Zhang, D. (2025) · Genetic Epidemiology · doi:10.1002/gepi.70004 · Cited by 4 · see citing works
Kang, M.-I., Ang, T. F. A., Devine, S., Sherva, R., Mukherjee, S., Trittschuh, E. H., Gibbons, L. E., Scollard, P., Lee, M., Choi, S.-E., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70681 · Cited by 5 · see citing works
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Yang, H.-H., Han, K., Kim, A., Kang, Y., Tae, W., Han, M.-R., & Ham, B. (2024) · Psychological Medicine · doi:10.1017/s0033291724000709 · Cited by 3 · see citing works
Jiang, Y., Li, H., Li, Z., Du, S., Zhang, R., Zhao, Y., Christiani, D. C., Shen, S., & Chen, F. (2024) · Translational Lung Cancer Research · doi:10.21037/tlcr-24-4 · Cited by 3 · see citing works
Sidenkova, A. P., Litvinenko, V., Bazarnyi, V. V., Rezaykin, A. V., Zakharov, A. V., Baranskaya, L., & Babushkina, E. I. (2024) · Consortium Psychiatricum · doi:10.17816/cp15526 · Cited by 3 · see citing works
Wang, L., Sheng, J., Zhang, Q., Song, Y., Zhang, Q., Wang, B., & Zhang, R. (2024) · Cerebral Cortex · doi:10.1093/cercor/bhae498 · Cited by 3 · see citing works
wang, K., Yang, X., Magwood, G., Xu, C. D., Navia, R. O., Neils‐Strunjas, J., & Li, X. (2026) · Current Issues in Molecular Biology · doi:10.3390/cimb48050442 · Cited by 2 · see citing works
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Wu, X., Tsuchiya, I., Aung, K. Z., Qiao, Q., Fardo, D. W., Nelson, P. T., Abner, E. L., James, B. D., Norris, C. M., & Katsumata, Y. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251385220 · Cited by 1 · see citing works
Wang, Z., Gong, H., & Wang, J. (2024) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn60899.2024.10651367 · Cited by 1 · see citing works
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Bednorz, A., & Religa, D. (2026) · Frontiers in Aging · doi:10.3389/fragi.2026.1933176
- Authors
- Kang, M., Ang, T. F. A., Devine, S. A., Sherva, R., Mukherjee, S., Trittschuh, E. H., Gibbons, L. E., Scollard, P., Lee, M., Choi, S.-E., Klinedinst, B., Nakano, C., Dumitrescu, L. C., Durant, A., Hohman, T. J., Cuccaro, M. L., Saykin, A. J., Kukull, W. A., Bennett, D. A., Wang, L.-S., Mayeux, R. P., Haines, J. L., Pericak-Vance, M. A., Schellenberg, G. D., Crane, P. K., Au, R., Lunetta, K. L., Mez, J. B., & Farrer, L. A.
- Affiliations
- Boston University (US)
- University of Washington (US)
- Vanderbilt University Medical Center (US)
- University of Miami (US)
- Indiana University Indianapolis (US)
- Rush University Medical Center (US)
- University of Pennsylvania (US)
- Columbia University Irving Medical Center (US)
- Case Western Reserve University (US)
- Corresponding author
- Farrer, Lindsay A.
- ORCID
- Ang, Ting Fang Alvin
- Devine, Sherral A.
- Sherva, Richard
- Mukherjee, Shubhabrata
- Trittschuh, Emily H.
- Gibbons, Laura E.
- Scollard, Phoebe
- Lee, Michael
- Choi, Seo-Eun
- Klinedinst, Brandon
- Nakano, Connie
- Dumitrescu, Logan C.
- Hohman, Timothy J.
- Cuccaro, Michael L.
- Saykin, Andrew J.
- Kukull, Walter A.
- Bennett, David A.
- Wang, Li-San
- Mayeux, Richard P.
- Haines, Jonathan L.
- Schellenberg, Gerard D.
- Crane, Paul K.
- Au, Rhoda
- Lunetta, Kathryn L.
- Mez, Jesse B.
- Farrer, Lindsay A.
- Venue
- Molecular Neurodegeneration
- Published
- 2023-06-22
- Volume
- 18
- Issue
- 1
- Pages
- 40-40
- ISSN
- 1750-1326 (ISSN-L)
- PMC
- PMC10286470
- OpenAlex
- W4381716608
- Cited by
- 29
- References
- 112
- Citations by year
- 2026: 9 · 2025: 11 · 2024: 8 · 2023: 1
- FWCI
- 1.32
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Molecular Neurodegeneration (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- IUScholarWorks (Indiana University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institute on Aging (U19-AG068753, R01-AG048927, U54-AG052427, U01-AG058654, U01-AG032984, RF1-AG057519, U01-AG062602, P30-AG072878, U24-AG074855, U01-AG068057, R01-AG059716)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- pleiotropy, Alzheimer's disease, cognitive domain, executive function, language, memory, endophenotypes, genetic loci, BIN1, complement receptor 1, gene regulatory networks, MS4A6A, apolipoprotein E, ULK2, CDK14
- MeSH terms
- Alzheimer Disease, Cognition, Female, Humans, Male, Cyclin-Dependent Kinases, Genome-Wide Association Study
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