Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer’s disease
Open accessAbstract
In a genome-wide association study of structural brain degeneration, we mapped the 3D profile of temporal lobe volume differences in 742 brain MRI scans of Alzheimer's disease patients, mildly impaired, and healthy elderly subjects. After searching 546,314 genomic markers, 2 single nucleotide polymorphisms (SNPs) were associated with bilateral temporal lobe volume (P<5 x 10(-7)). One SNP, rs10845840, is located in the GRIN2B gene which encodes the N-methyl-d-aspartate (NMDA) glutamate receptor NR2B subunit. This protein - involved in learning and memory, and excitotoxic cell death - has age-dependent prevalence in the synapse and is already a therapeutic target in Alzheimer's disease. Risk alleles for lower temporal lobe volume at this SNP were significantly over-represented in AD and MCI subjects vs. controls (odds ratio=1.273; P=0.039) and were associated with mini-mental state exam scores (MMSE; t=-2.114; P=0.035) demonstrating a negative effect on global cognitive function. Voxelwise maps of genetic association of this SNP with regional brain volumes, revealed intense temporal lobe effects (FDR correction at q=0.05; critical P=0.0257). This study uses large-scale brain mapping for gene discovery with implications for Alzheimer's disease.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A large number of novel loci and genes have been nominated by imaging GWAS analyses.
“a large number of novel loci and genes have been nominated by these analyses [222, 229–231]”
From Genetic architecture of Alzheimer's disease (2020) · cites this paper as [231]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
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
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
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
A decision-theoretic generalization of on-line learning and an application to boosting
Freund, Y., & Schapire, R. E. (1997) · Journal of Computer and System Sciences · doi:10.1006/jcss.1997.1504 · Cited by 20,466 · see citing works
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
Haploview: analysis and visualization of LD and haplotype maps
Barrett, J., Fry, B., Maller, J., & Daly, M. (2005) · Bioinform. · doi:10.1093/bioinformatics/bth457 · Cited by 15,086 · 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
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882 · see citing works
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442 · see citing works
Self-citationMild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980 · see citing works
The Endophenotype Concept in Psychiatry: Etymology and Strategic Intentions
Gottesman, I. I., & Gould, T. D. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.4.636 · Cited by 5,615 · see citing works
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1037 · Cited by 4,923 · see citing works
A second generation human haplotype map of over 3.1 million SNPs
The International HapMap Consortium (2007) · Nature · doi:10.1038/nature06258 · Cited by 4,438 · see citing works
The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347 · see citing works
Genetic Dissection of Complex Traits
Lander, E. S., & Schork, N. J. (1994) · Science · doi:10.1126/science.8091226 · Cited by 3,425 · 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
Self-citationGenome-wide association studies for complex traits: consensus, uncertainty and challenges
McCarthy, M. I., Abecasis, G. R., Cardon, L. R., Goldstein, D. B., Little, J., Ioannidis, J. P. A., & Hirschhorn, J. N. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2344 · Cited by 2,891 · see citing works
Mazziotta, J. C., Toga, A. W., Evans, A. C., Fox, P. T., Lancaster, J. L., Zilles, K., Woods, R. P., Paus, T., Simpson, G. V., Pike, G. B., et al. (2001) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2001.0915 · Cited by 2,334 · see citing works
Self-citationGenome-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
The clinical use of structural MRI in Alzheimer disease
Frisoni, G. B., Fox, N. C., Jack, C. R., Scheltens, P., & Thompson, P. M. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.215 · Cited by 2,113 · see citing works
Self-citationGenetic enhancement of learning and memory in mice
Tang, Y., Shimizu, E., Dubé, G., Rampon, C., Kerchner, G. A., Zhuo, M., Liu, G., & Tsien, J. Z. (1999) · Nature · doi:10.1038/43432 · Cited by 1,867 · 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
Efficient Control of Population Structure in Model Organism Association Mapping
Kang, H. M., Zaitlen, N., Wade, C. M., Kirby, A. W., Heckerman, D. E., Daly, M. J., & Eskin, E. (2008) · Genetics · doi:10.1534/genetics.107.080101 · Cited by 1,848 · see citing works
Self-citationPersonal genomes: The case of the missing heritability
Maher, B. (2008) · Nature · doi:10.1038/456018a · Cited by 1,737 · see citing works
Dynamics of Gray Matter Loss in Alzheimer's Disease
Thompson, P. M., Hayashi, K. M., de Zubicaray, G., Janke, A. L., Rose, S. E., Semple, J., Herman, D., Hong, M. S., Dittmer, S. S., Doddrell, D. M., et al. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-03-00994.2003 · Cited by 1,132 · see citing works
Self-citationStructural plasticity and memory
Lamprecht, R., & LeDoux, J. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1301 · Cited by 1,010 · see citing works
Genome-wide association analysis of metabolic traits in a birth cohort from a founder population
Sabatti, C., Service, S. K., Hartikainen, A., Pouta, A. M., Ripatti, S., Brodsky, J. F., Jones, C. G., Zaitlen, N., Varilo, T., Kaakinen, M., et al. (2008) · Nature Genetics · doi:10.1038/ng.271 · Cited by 721 · see citing works
Du, A. (2001) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.71.4.441 · Cited by 719 · see citing works
Estimation of significance thresholds for genomewide association scans
Dudbridge, F., & Gusnanto, A. (2008) · Genetic Epidemiology · doi:10.1002/gepi.20297 · Cited by 703 · see citing works
Parsons, C. G., Stöffler, A., & Danysz, W. (2007) · Neuropharmacology · doi:10.1016/j.neuropharm.2007.07.013 · Cited by 701 · see citing works
Neurexins: Synaptic Cell Surface Proteins Related to the α-Latrotoxin Receptor and Laminin
Ushkaryov, Y. A., Petrenko, A. G., Geppert, M., & Südhof, T. C. (1992) · Science · doi:10.1126/science.1621094 · Cited by 682 · see citing works
Mini-Mental State Examination (MMSE)
Gauthier, S. G. (2001) · CRC Press eBooks · doi:10.3109/9780203213896-22 · Cited by 659 · see citing works
Regulation of NMDA receptor subunit expression and its implications for LTD, LTP, and metaplasticity
Yashiro, K., & Philpot, B. D. (2008) · Neuropharmacology · doi:10.1016/j.neuropharm.2008.07.046 · Cited by 649 · see citing works
A routine method for the establishment of permanent growing lymphoblastoid cell lines
Neitzel, H. (1986) · Human Genetics · doi:10.1007/bf00279094 · Cited by 647 · see citing works
Regional pattern of degeneration in Alzheimer's disease: neuronal loss and histopathological grading
Brun, A., & Englund, E. M. (1981) · Histopathology · doi:10.1111/j.1365-2559.1981.tb01818.x · Cited by 559 · see citing works
Kimura, K., Wakamatsu, A., Suzuki, Y., Ota, T., Nishikawa, T., Yamashita, R., Yamamoto, J.-I., Sekine, M., Tsuritani, K., Wakaguri, H., et al. (2006) · Genome Research · doi:10.1101/gr.4039406 · Cited by 506 · see citing works
NMDA receptor pathways as drug targets
Kemp, J. A., & McKernan, R. M. (2002) · Nature Neuroscience · doi:10.1038/nn936 · Cited by 479 · see citing works
Genetic influences on human brain structure: A review of brain imaging studies in twins
Peper, J. S., Brouwer, R. M., Boomsma, D. I., Kahn, R. S., & Pol, H. E. H. (2007) · Human Brain Mapping · doi:10.1002/hbm.20398 · Cited by 429 · see citing works
Common Kibra Alleles Are Associated with Human Memory Performance
Papassotiropoulos, A., Stephan, D. A., Huentelman, M. J., Hoerndli, F. J., Craig, D. W., Pearson, J. V., Huynh, K.-D., Brunner, F., Corneveaux, J. J., Osborne, D., et al. (2006) · Science · doi:10.1126/science.1129837 · Cited by 402 · see citing works
Self-citationEndophenotypes in the Genetic Analyses of Mental Disorders
Cannon, T. D., & Keller, M. C. (2006) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.2.022305.095232 · Cited by 399 · see citing works
Hua, X., Leow, A., Parikshak, N., Lee, S., Chiang, M.-C., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.013 · Cited by 359 · see citing works
Self-citationBacanu, S.-A., Devlin, B., & Roeder, K. (2000) · The American Journal of Human Genetics · doi:10.1086/302929 · Cited by 340 · see citing works
The relationship between corpus callosum size and forebrain volume
Jäncke, L. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.1.48 · Cited by 284 · see citing works
Brain Size and Folding of the Human Cerebral Cortex
Toro, R., Perron, M., Pike, G. B., Richer, L., Veillette, S., Pausová, Z., & Paus, T. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm261 · Cited by 254 · see citing works
Thompson, P. M., Hayashi, K. M., Dutton, R. A., Chiang, M., Leow, A., Sowell, E. R., de Zubicaray, G. I., Becker, J. T., López, O. L., Aizenstein, H. J., et al. (2007) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1379.017 · Cited by 250 · see citing works
Self-citationThe parallel brain: The cognitive neuroscience of the corpus callosum
(2004) · Computers & Mathematics with Applications · doi:10.1016/s0898-1221(04)90095-8 · Cited by 248 · see citing works
Genome-Wide Association Studies in Alzheimer Disease
Waring, S. C., & Rosenberg, R. N. (2008) · Archives of Neurology · doi:10.1001/archneur.65.3.329 · Cited by 238 · see citing works
Morra, J. H., Tu, Z., Apostolova, L. G., Green, A. E., Avedissian, C., Madsen, S. K., Parikshak, N., Hua, X., Toga, A. W., Jack, C. R., et al. (2009) · Human Brain Mapping · doi:10.1002/hbm.20708 · Cited by 212 · see citing works
Self-citationSeshadri, S. S., DeStefano, A. L., Au, R., Massaro, J. M., Beiser, A., Kelly‐Hayes, M., Kase, C. S., D’Agostino, R. B., DeCarli, C. S., Atwood, L. D., et al. (2007) · BMC Medical Genetics · doi:10.1186/1471-2350-8-s1-s15 · Cited by 199 · see citing works
Morra, J. H., Tu, Z., Apostolova, L. G., Green, A. E., Avedissian, C., Madsen, S. K., Parikshak, N., Hua, X., Toga, A. W., Jack, C. R., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.003 · Cited by 199 · see citing works
Self-citationLahiri, D. K., Bye, S., Nürnberger, J. I., et al. (1992) · Journal of Biochemical and Biophysical Methods · doi:10.1016/0165-022x(92)90014-2 · Cited by 193 · see citing works
Mini-Mental State Examination (MMSE)
Galea, M. P., & Woodward, M. (2005) · Australian Journal of Physiotherapy · doi:10.1016/s0004-9514(05)70034-9 · Cited by 188 · see citing works
Leow, A., Huang, S., Geng, A., Becker, J. T., Davis, S. W., Toga, A. W., & Thompson, P. M. (2005) · Lecture notes in computer science · doi:10.1007/11505730_41 · Cited by 170 · see citing works
Self-citationApostolova, L. G., Steiner, C. A., Akopyan, G. G., Dutton, R. A., Hayashi, K. M., Toga, A. W., Cummings, J. L., & Thompson, P. M. (2007) · Archives of Neurology · doi:10.1001/archneur.64.10.1489 · Cited by 150 · see citing works
Self-citationTanzi, R. E. (1999) · Journal of Clinical Investigation · doi:10.1172/jci8593 · Cited by 142 · see citing works
AGING, MILD COGNITIVE IMPAIRMENT, AND ALZHEIMER'S DISEASE
Petersen, R. C. (2000) · Neurologic Clinics · doi:10.1016/s0733-8619(05)70226-7 · Cited by 141 · see citing works
Sex differences in brain structure in auditory and cingulate regions
Brun, C., Lepore, N., Luders, E., Chou, Y., Madsen, S., Toga, A., & Thompson, P. (2009) · NeuroReport · doi:10.1097/wnr.0b013e32832c5e65 · Cited by 129 · see citing works
Self-citationFarrer, L. A. (1997) · JAMA · doi:10.1001/jama.1997.03550160069041 · Cited by 124 · cited 1× · see citing works
“Interactions with apolipoprotein E (APOE) ε4 allele The ε4 allele of the APOE gene is a well-validated genetic risk factor for AD (Farrer et al., 1997), and we and others have previously found that this allele is associated with temporal lobe atrophy (Hua et al., 2008) and with the rate of…”
Plaque and tangle imaging and cognition in normal aging and Alzheimer's disease
Braskie, M. N., Klunder, A. D., Hayashi, K. M., Protas, H. D., Kepe, V., Miller, K. J., Huang, S.-C., Barrio, J. R., Ercoli, L. M., Siddarth, P., et al. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.09.012 · Cited by 114 · see citing works
Self-citationPotkin, S. G., Turner, J. A., Guffanti, G., Lakatos, A., Torri, F., Keator, D. B., & Macciardi, F. M. (2009) · Cognitive Neuropsychiatry · doi:10.1080/13546800903059829 · Cited by 99 · see citing works
Self-citationPotkin, S. G., Turner, J. A., Fallon, J. A., Lakatos, A., Keator, D. B., Guffanti, G., Macciardi, F., & FBIRN (2009) · Molecular Psychiatry · doi:10.1038/mp.2008.127 · Cited by 97 · see citing works
Self-citationSmall, G. W., Siddarth, P., Burggren, A. C., Kepe, V., Ercoli, L. M., Miller, K. J., Lavretsky, H., Thompson, P. M., Cole, G. M., Huang, S. C., et al. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2008.516 · Cited by 57 · see citing works
Self-citationmRNA distribution in adult human brain of GRIN2B, a N-methyl-d-aspartate (NMDA) receptor subunit
Schito, A. M., Pizzuti, A., Maria, E. D., et al. (1997) · Neuroscience Letters · doi:10.1016/s0304-3940(97)00853-7 · Cited by 46 · see citing works
Mapping Structural Alterations of the Corpus Callosum During Brain Development and Degeneration
(2003) · The MIT Press eBooks · doi:10.7551/mitpress/5233.003.0013 · Cited by 33 · see citing works
Brun, C., Leporé, N., Pennec, X., Chou, Y., Lee, A. D., Marina Barysheva, A., de Zubicaray, G. I., Meredith, M., McMahon, K. L., Wright, M. J., et al. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85990-1_110 · Cited by 28 · see citing works
Self-citationPaling, S. M., Williams, E. D., Barber, R., Burton, E. J., Crum, W. R., Fox, N. C., & O'Brien, J. T. (2003) · Medical Image Analysis · doi:10.1016/j.media.2003.07.004 · Cited by 16 · see citing works
Schwirzke, M., Gnirke, A., Peer Bork, B., et al. (1998) · PubMed · Cited by 13 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Saykin, A. J., Shen, L., Foroud, T. M., Potkin, S. G., Swaminathan, S., Kim, S., Risacher, S. L., Nho, K., Huentelman, M. J., Craig, D. W., et al. (2010) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2010.03.013 · Cited by 442 · see citing works
Self-citationWeiner, M. W., Veitch, D. P., Aisen, P. S., Beckett, L. A., Cairns, N. J., Cedarbaum, J., Green, R. C., Harvey, D., Jack, C. R., Jagust, W., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.11.001 · Cited by 348 · see citing works
Self-citationSex and age differences in atrophic rates: an ADNI study with n=1368 MRI scans
Hua, X., Hibar, D. P., Lee, S., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.033 · Cited by 234 · see citing works
Self-citationMagnetic resonance imaging in Alzheimer’s disease neuroimaging initiative 2
Jack, C. R., Barnes, J., Bernstein, M. A., Borowski, B. J., Brewer, J., Clegg, S., Dale, A. M., Carmichael, O., Ching, C., DeCarli, C., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2015.05.002 · Cited by 220 · see citing works
Self-citationBoosting power for clinical trials using classifiers based on multiple biomarkers
Kohannim, O., Hua, X., Hibar, D. P., Lee, S., Chou, Y.-Y., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.022 · Cited by 190 · see citing works
“Furthermore, machine learning can perhaps be used to discover genetic (Stein et al., 2009; Stein et al., 2010), epidemiological and physiological factors that influence the progression of AD.”
Self-citationAdult neurogenesis and neurodegenerative diseases: A systems biology perspective
Horgusluoglu, E., Nudelman, K., Nho, K., & Saykin, A. J. (2017) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32429 · Cited by 174 · see citing works
Self-citationGenetic architecture of Alzheimer's disease
Neuner, S. M., TCW, J., & Goate, A. M. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104976 · Cited by 126 · see citing works
Roussotte, F. F., Gutman, B. A., Madsen, S. K., Colby, J. B., Thompson, P. M., & Initiative, F. T. A. D. N. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.5236-13.2014 · Cited by 63 · see citing works
Self-citationXu, Z., Shen, X., Pan, W., & Initiative, F. T. A. D. N. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102312 · Cited by 51 · see citing works
- Authors
- Stein, J. L., Hua, X., Morra, J. H., Lee, S., Hibar, D. P., Ho, A. J., Leow, A. D., Toga, A. W., Sul, J. H., Kang, H. M., Eskin, E., Saykin, A. J., Shen, L., Foroud, T., Pankratz, N., Huentelman, M. J., Craig, D. W., Gerber, J. D., Allen, A. N., Corneveaux, J. J., Stephan, D. A., Webster, J., DeChairo, B. M., Potkin, S. G., Jack, C. R., Weiner, M. W., & Thompson, P. M.
- Affiliations
- University of California, Los Angeles (US)
- University of Michigan (US)
- Indiana University Indianapolis (US)
- Indiana University School of Medicine (US)
- Translational Genomics Research Institute (US)
- Pfizer (United States) (US)
- University of California, Irvine (US)
- Mayo Clinic (US)
- San Francisco VA Medical Center (US)
- Corresponding author
- Thompson, Paul M.
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2010-06
- Volume
- 51
- Issue
- 2
- Pages
- 542-554
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC2856746
- OpenAlex
- W1994029270
- Cited by
- 145
- References
- 67
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 5 · 2022: 5 · 2021: 9 · 2020: 2 · 2019: 4 · 2018: 6 · 2017: 6 · 2016: 8 · 2015: 13 · 2014: 16 · 2013: 22 · 2012: 15
- FWCI
- 14.43
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- IUScholarWorks (Indiana University) (submittedVersion)
- Funders
- ADNI (U01 AG024904)
- National Institutes of Health (U54 RR021813)
- National Center for Research Resources (NCRR) (P41 RR013642, M01 RR000865)
- NIBIB (R01 EB007813, R01 EB008281, R01 EB008432)
- NICHHD (R01 HD050735)
- NIA (R01 AG020098)
- NIH/NIDA (1-T90-DA022768:02)
- ARCS foundation
- NIMH (1F31MH087061)
- 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
- Alzheimer's disease, temporal lobe volume, NR2B subunit, single nucleotide polymorphisms, mild cognitive impairment, cognitive function, genetic risk factors, brain MRI, gene discovery
- MeSH terms
- Aged, Alzheimer Disease, Genotype, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Nerve Degeneration, Temporal Lobe, Receptors, N-Methyl-D-Aspartate, Polymorphism, Single Nucleotide, Genome-Wide Association Study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review