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Genetic data and cognitively defined late-onset Alzheimer's disease subgroups.
Mukherjee S, Mez J, Trittschuh EH, Saykin AJ, Gibbons LE, Fardo DW, Wessels M, Bauman J, Moore M, Choi SE, Gross AL, Rich J, Louden DKN, Sanders RE, Grabowski TJ, Bird TD, McCurry SM, Snitz BE, Kamboh MI, Lopez OL, De Jager PL, Bennett DA, Keene CD, Larson EB; EPAD Study Group; Investigators from ACT; Investigators from ROS; Investigators from MAP; Investigators from ADNI; Investigators from the University of Pittsburgh ADRC, Crane PK. Mukherjee S, et al. Mol Psychiatry. 2020 Nov;25(11):2942-2951. doi: 10.1038/s41380-018-0298-8. Epub 2018 Dec 4. Mol Psychiatry. 2020. PMID: 30514930 Free PMC article.
Categorizing people with late-onset Alzheimer's disease into biologically coherent subgroups is important for personalized medicine. ...These data support the biological coherence of cognitively defined subgroups and nominat …
Categorizing people with late-onset Alzheimer's disease into biologically coherent subgroups is important …
Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Abeta, tau, immunity and lipid processing.
Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, Boland A, Vronskaya M, van der Lee SJ, Amlie-Wolf A, Bellenguez C, Frizatti A, Chouraki V, Martin ER, Sleegers K, Badarinarayan N, Jakobsdottir J, Hamilton-Nelson KL, Moreno-Grau S, Olaso R, Raybould R, Chen Y, Kuzma AB, Hiltunen M, Morgan T, Ahmad S, Vardarajan BN, Epelbaum J, Hoffmann P, Boada M, Beecham GW, Garnier JG, Harold D, Fitzpatrick AL, Valladares O, Moutet ML, Gerrish A, Smith AV, Qu L, Bacq D, Denning N, Jian X, Zhao Y, Del Zompo M, Fox NC, Choi SH, Mateo I, Hughes JT, Adams HH, Malamon J, Sanchez-Garcia F, Patel Y, Brody JA, Dombroski BA, Naranjo MCD, Daniilidou M, Eiriksdottir G, Mukherjee S, Wallon D, Uphill J, Aspelund T, Cantwell LB, Garzia F, Galimberti D, Hofer E, Butkiewicz M, Fin B, Scarpini E, Sarnowski C, Bush WS, Meslage S, Kornhuber J, White CC, Song Y, Barber RC, Engelborghs S, Sordon S, Voijnovic D, Adams PM, Vandenberghe R, Mayhaus M, Cupples LA, Albert MS, De Deyn PP, Gu W, Himali JJ, Beekly D, Squassina A, Hartmann AM, Orellana A, Blacker D, Rodriguez-Rodriguez E, Lovestone S, Garcia ME, Doody RS, Munoz-Fernadez C, Sussams R, Lin H, Fairchild TJ, Benito YA, Holmes C, Karamujić-Čomić H, Frosch MP, Thonberg H, Maier W, Roshchupkin G, Ghetti B, Giedraitis V, Kawalia A, Li S, Huebinger RM, Kilander L, Moebus S, Hernández I, Kamboh MI, Brundin R, Turton J, Yang Q, Katz MJ, Concari L, Lord J, Beiser AS, Keene CD, Helisalmi S, Kloszewska I, Kukull WA, Koivisto AM, Lynch A, Tarraga L, Larson EB, Haapasalo A, Lawlor B, Mosley TH, Lipton RB, Solfrizzi V, Gill M, Longstreth WT Jr, Montine TJ, Frisardi V, Diez-Fairen M, Rivadeneira F, Petersen RC, Deramecourt V, Alvarez I, Salani F, Ciaramella A, Boerwinkle E, Reiman EM, Fievet N, Rotter JI, Reisch JS, Hanon O, Cupidi C, Andre Uitterlinden AG, Royall DR, Dufouil C, Maletta RG, de Rojas I, Sano M, Brice A, Cecchetti R, George-Hyslop PS, Ritchie K, Tsolaki M, Tsuang DW, Dubois B, Craig D, Wu CK, Soininen H, Avramidou D, Albin RL, Fratiglioni L, Germanou A, Apostolova LG, Keller L, Koutroumani M, Arnold SE, Panza F, Gkatzima O, Asthana S, Hannequin D, Whitehead P, Atwood CS, Caffarra P, Hampel H, Quintela I, Carracedo Á, Lannfelt L, Rubinsztein DC, Barnes LL, Pasquier F, Frölich L, Barral S, McGuinness B, Beach TG, Johnston JA, Becker JT, Passmore P, Bigio EH, Schott JM, Bird TD, Warren JD, Boeve BF, Lupton MK, Bowen JD, Proitsi P, Boxer A, Powell JF, Burke JR, Kauwe JSK, Burns JM, Mancuso M, Buxbaum JD, Bonuccelli U, Cairns NJ, McQuillin A, Cao C, Livingston G, Carlson CS, Bass NJ, Carlsson CM, Hardy J, Carney RM, Bras J, Carrasquillo MM, Guerreiro R, Allen M, Chui HC, Fisher E, Masullo C, Crocco EA, DeCarli C, Bisceglio G, Dick M, Ma L, Duara R, Graff-Radford NR, Evans DA, Hodges A, Faber KM, Scherer M, Fallon KB, Riemenschneider M, Fardo DW, Heun R, Farlow MR, Kölsch H, Ferris S, Leber M, Foroud TM, Heuser I, Galasko DR, Giegling I, Gearing M, Hüll M, Geschwind DH, Gilbert JR, Morris J, Green RC, Mayo K, Growdon JH, Feulner T, Hamilton RL, Harrell LE, Drichel D, Honig LS, Cushion TD, Huentelman MJ, Hollingworth P, Hulette CM, Hyman BT, Marshall R, Jarvik GP, Meggy A, Abner E, Menzies GE, Jin LW, Leonenko G, Real LM, Jun GR, Baldwin CT, Grozeva D, Karydas A, Russo G, Kaye JA, Kim R, Jessen F, Kowall NW, Vellas B, Kramer JH, Vardy E, LaFerla FM, Jöckel KH, Lah JJ, Dichgans M, Leverenz JB, Mann D, Levey AI, Pickering-Brown S, Lieberman AP, Klopp N, Lunetta KL, Wichmann HE, Lyketsos CG, Morgan K, Marson DC, Brown K, Martiniuk F, Medway C, Mash DC, Nöthen MM, Masliah E, Hooper NM, McCormick WC, Daniele A, McCurry SM, Bayer A, McDavid AN, Gallacher J, McKee AC, van den Bussche H, Mesulam M, Brayne C, Miller BL, Riedel-Heller S, Miller CA, Miller JW, Al-Chalabi A, Morris JC, Shaw CE, Myers AJ, Wiltfang J, O'Bryant S, Olichney JM, Alvarez V, Parisi JE, Singleton AB, Paulson HL, Collinge J, Perry WR, Mead S, Peskind E, Cribbs DH, Rossor M, Pierce A, Ryan NS, Poon WW, Nacmias B, Potter H, Sorbi S, Quinn JF, Sacchinelli E, Raj A, Spalletta G, Raskind M, Caltagirone C, Bossù P, Orfei MD, Reisberg B, Clarke R, Reitz C, Smith AD, Ringman JM, Warden D, Roberson ED, Wilcock G, Rogaeva E, Bruni AC, Rosen HJ, Gallo M, Rosenberg RN, Ben-Shlomo Y, Sager MA, Mecocci P, Saykin AJ, Pastor P, Cuccaro ML, Vance JM, Schneider JA, Schneider LS, Slifer S, Seeley WW, Smith AG, Sonnen JA, Spina S, Stern RA, Swerdlow RH, Tang M, Tanzi RE, Trojanowski JQ, Troncoso JC, Van Deerlin VM, Van Eldik LJ, Vinters HV, Vonsattel JP, Weintraub S, Welsh-Bohmer KA, Wilhelmsen KC, Williamson J, Wingo TS, Woltjer RL, Wright CB, Yu CE, Yu L, Saba Y, Pilotto A, Bullido MJ, Peters O, Crane PK, Bennett D, Bosco P, Coto E, Boccardi V, De Jager PL, Lleo A, Warner N, Lopez OL, Ingelsson M, Deloukas P, Cruchaga C, Graff C, Gwilliam R, Fornage M, Goate AM, Sanchez-Juan P, Kehoe PG, Amin N, Ertekin-Taner N, Berr C, Debette S, Love S, Launer LJ, Younkin SG, Dartigues JF, Corcoran C, Ikram MA, Dickson DW, Nicolas G, Campion D, Tschanz J, Schmidt H, Hakonarson H, Clarimon J, Munger R, Schmidt R, Farrer LA, Van Broeckhoven C, C O'Donovan M, DeStefano AL, Jones L, Haines JL, Deleuze JF, Owen MJ, Gudnason V, Mayeux R, Escott-Price V, Psaty BM, Ramirez A, Wang LS, Ruiz A, van Duijn CM, Holmans PA, Seshadri S, Williams J, Amouyel P, Schellenberg GD, Lambert JC, Pericak-Vance MA; Alzheimer Disease Genetics Consortium (ADGC),; 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, Polygenic and Environmental Risk for Alzheimer’s Disease Consortium (GERAD/PERADES),. Kunkle BW, et al. Nat Genet. 2019 Mar;51(3):414-430. doi: 10.1038/s41588-019-0358-2. Epub 2019 Feb 28. Nat Genet. 2019. PMID: 30820047 Free PMC article.
Risk for late-onset Alzheimer's disease (LOAD), the most prevalent dementia, is partially driven by genetics. To identify LOAD risk loci, we performed a large genome-wide association meta-analysis of clinically diagnosed LOAD (94,437 indi …
Risk for late-onset Alzheimer's disease (LOAD), the most prevalent dementia, is partially driven by ge
Incidence of cognitively defined late-onset Alzheimer's dementia subgroups from a prospective cohort study.
Crane PK, Trittschuh E, Mukherjee S, Saykin AJ, Sanders RE, Larson EB, McCurry SM, McCormick W, Bowen JD, Grabowski T, Moore M, Bauman J, Gross AL, Keene CD, Bird TD, Gibbons LE, Mez J; Executive Prominent Alzheimer's Disease: Genetics and Risk Factors (EPAD:GRF) Investigators. Crane PK, et al. Alzheimers Dement. 2017 Dec;13(12):1307-1316. doi: 10.1016/j.jalz.2017.04.011. Epub 2017 Jun 15. Alzheimers Dement. 2017. PMID: 28623677 Free PMC article.
INTRODUCTION: There may be biologically relevant heterogeneity within typical late-onset Alzheimer's dementia. METHODS: We analyzed cognitive data from people with incident late-onset Alzheimer's dementia from …
INTRODUCTION: There may be biologically relevant heterogeneity within typical late-onset Alzheimer's dementia. M …
Associations Between Depression, Traumatic Brain Injury, and Cognitively-Defined Late-Onset Alzheimer's Disease Subgroups.
Bauman J, Gibbons LE, Moore M, Mukherjee S, McCurry SM, McCormick W, Bowen JD, Trittschuh E, Glymour M, Mez J, Saykin AJ, Dams-O'Conner K, Bennett DA, Larson EB, Crane PK; Executive Prominent AD (EPAD) investigators. Bauman J, et al. J Alzheimers Dis. 2019;70(2):611-619. doi: 10.3233/JAD-181212. J Alzheimers Dis. 2019. PMID: 31256124
BACKGROUND: There is considerable heterogeneity in clinical presentation among people with late-onset Alzheimer's disease (LOAD). ...METHODS: We used cognitive data at LOAD diagnosis from three prospective cohort studies to determi …
BACKGROUND: There is considerable heterogeneity in clinical presentation among people with late-onset Alzheimer's
Correction: Genetic data and cognitively defined late-onset Alzheimer's disease subgroups.
Mukherjee S, Mez J, Trittschuh EH, Saykin AJ, Gibbons LE, Fardo DW, Wessels M, Bauman J, Moore M, Choi SE, Gross AL, Rich J, Louden DKN, Sanders RE, Grabowski TJ, Bird TD, McCurry SM, Snitz BE, Kamboh MI, Lopez OL, De Jager PL, Bennett DA, Keene CD, Larson EB; EPAD Study Group; Investigators from ACT; Investigators from ROS; Investigators from MAP; Investigators from ADNI; Investigators from the University of Pittsburgh ADRC, Crane PK. Mukherjee S, et al. Mol Psychiatry. 2020 Nov;25(11):3100. doi: 10.1038/s41380-019-0348-x. Mol Psychiatry. 2020. PMID: 30647434 Free article.
Screening of Early and Late Onset Alzheimer's Disease Genetic Risk Factors in a Cohort of Dementia Patients from Liguria, Italy.
Ferrari R, Ferrara M, Alinani A, Sutton RB, Famà F, Picco A, Rodriguez G, Nobili F, Momeni P. Ferrari R, et al. Curr Alzheimer Res. 2015;12(8):802-12. doi: 10.2174/1567205012666150710114751. Curr Alzheimer Res. 2015. PMID: 26159191
Cohorts from a defined geographical area enable ad hoc genotype-phenotype correlation studies providing novel and unique insight into disease. We analysed genetic risk factors associated with early and late onset Alzheimer's dis
Cohorts from a defined geographical area enable ad hoc genotype-phenotype correlation studies providing novel and unique insight into …
Genetic Comparison of Symptomatic and Asymptomatic Persons With Alzheimer Disease Neuropathology.
Monsell SE, Mock C, Fardo DW, Bertelsen S, Cairns NJ, Roe CM, Ellingson SR, Morris JC, Goate AM, Kukull WA. Monsell SE, et al. Alzheimer Dis Assoc Disord. 2017 Jul-Sep;31(3):232-238. doi: 10.1097/WAD.0000000000000179. Alzheimer Dis Assoc Disord. 2017. PMID: 27849641 Free PMC article.
METHODS: Data came from the National Alzheimer's Coordinating Center Uniform Data Set and Neuropathology Data Set, and the Alzheimer's Disease Genetics Consortium (ADGC). ...The 22 known/suspected genes associated wit …
METHODS: Data came from the National Alzheimer's Coordinating Center Uniform Data Set and Neuropathology Data
Targeted lipidomics distinguishes patient subgroups in mild cognitive impairment (MCI) and late onset Alzheimer's disease (LOAD).
Wood PL, Locke VA, Herling P, Passaro A, Vigna GB, Volpato S, Valacchi G, Cervellati C, Zuliani G. Wood PL, et al. BBA Clin. 2015 Nov 14;5:25-8. doi: 10.1016/j.bbacli.2015.11.004. eCollection 2016 Jun. BBA Clin. 2015. PMID: 27051586 Free PMC article.
BACKGROUND: Diverse research approaches support the concept that a clinical diagnosis of Late-Onset Alzheimer's Disease (LOAD) does not distinguish between subpopulations with differing neuropathologies, including dementia patients with amyloid …
BACKGROUND: Diverse research approaches support the concept that a clinical diagnosis of Late-Onset Alzheimer's
Genome-wide association study implicates a chromosome 12 risk locus for late-onset Alzheimer disease.
Beecham GW, Martin ER, Li YJ, Slifer MA, Gilbert JR, Haines JL, Pericak-Vance MA. Beecham GW, et al. Am J Hum Genet. 2009 Jan;84(1):35-43. doi: 10.1016/j.ajhg.2008.12.008. Am J Hum Genet. 2009. PMID: 19118814 Free PMC article.
Only Apolipoprotein E polymorphisms have been consistently associated with the risk of late-onset Alzheimer disease (LOAD), but they represent only a minority of the underlying genetic effect. ...These results help to further define the …
Only Apolipoprotein E polymorphisms have been consistently associated with the risk of late-onset Alzheimer disease
Careful neuropsychological testing reveals a novel genetic marker, GSTO1*C, linked to the pre-stage of Alzheimer's disease.
Umlauf E, Rappold E, Schiller B, Fuchs P, Rainer M, Wolf B, Zellner M. Umlauf E, et al. Oncotarget. 2016 Jun 28;7(26):39108-39117. doi: 10.18632/oncotarget.9773. Oncotarget. 2016. PMID: 27259244 Free PMC article.
Approximately 30 million people currently suffer from late-onset Alzheimer's disease (LOAD) worldwide. Twin studies demonstrated that 60 to 80% of LOAD is genetically determined, 20% of which remaining unassigned. ...In contrast, these st …
Approximately 30 million people currently suffer from late-onset Alzheimer's disease (LOAD) worldwide. Tw …
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