FASTKD2 is associated with memory and hippocampal structure in older adults

Molecular Psychiatry

Volumn 20, Issue 10, 2015, Pages 1197-1204

  Ramanan, V K ^a   Nho, K ^a   Shen, L ^a   Risacher, S L ^a   Kim, S ^a   McDonald, B C ^a   Farlow, M R ^a   Foroud, T M ^a   Gao, S ^a   Soininen, H ^b   Kloszewska I ^c   Mecocci, P ^d   Tsolaki, M ^e   Vellas, B ^f   Lovestone, S ^g   Aisen, P S ^h   Petersen, R C ⁱ   Jack, C R ⁱ   Shaw, L M ^j   Trojanowski, J Q ^j   Weiner, M W ^k,l   Green, R C ^m   Toga, A W ⁿ   De Jager, P L ^m,o,p   Yu, L ^q   Bennett, D A ^q   Saykin, A J ^a   more..

^a INDIANA UNIVERSITY   (United States)

^b KUOPIO UNIVERSITY HOSPITAL   (Finland)

^c MEDICAL UNIVERSITY OF LODZ   (Poland)

^d UNIVERSITY OF PERUGIA   (Italy)

^e ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^f UNIVERSITÉ DE TOULOUSE   (France)

^g UNIVERSITY OF OXFORD   (United Kingdom)

^h UNIVERSITY OF CALIFORNIA   (United States)

ⁱ MAYO CLINIC   (United States)

^j UNIVERSITY OF PENNSYLVANIA   (United States)

^k UNIVERSITY OF CALIFORNIA   (United States)

^l SAN FRANCISCO VETERANS AFFAIRS MEDICAL CENTER   (United States)

^m HARVARD MEDICAL SCHOOL   (United States)

ⁿ UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^o BRIGHAM AND WOMEN S HOSPITAL   (United States)

^p BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^q RUSH UNIVERSITY MEDICAL CENTER   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ADIPONECTIN; BRAIN DERIVED NEUROTROPHIC FACTOR; CHOLINESTERASE; DISRUPTED IN SCHIZOPHRENIA 1 PROTEIN; EPIDERMAL GROWTH FACTOR RECEPTOR; FAS ACTIVATED SERINE THREONINE KINASE DOMAIN 2 PROTEIN; FAS LIGAND; MAMMALIAN TARGET OF RAPAMYCIN; MESSENGER RNA; PROTEIN SERINE THREONINE KINASE; TUMOR NECROSIS FACTOR RECEPTOR 2; TUMOR NECROSIS FACTOR RELATED APOPTOSIS INDUCING LIGAND RECEPTOR 3; UNCLASSIFIED DRUG; FASTKD2 PROTEIN, HUMAN;

ADULT; AGED; APOPTOSIS; ARTICLE; BRAIN SIZE; CEREBROSPINAL FLUID LEVEL; CHOLINERGIC TRANSMISSION; ENDOCYTOSIS; EPISODIC MEMORY; FEMALE; GENE FREQUENCY; GENETIC ASSOCIATION; GENOMICS; GRAY MATTER; HIPPOCAMPUS; HUMAN; IMMUNOREGULATION; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; NEUROIMAGING; NEUROPROTECTION; PRIORITY JOURNAL; SIGNAL TRANSDUCTION; SINGLE NUCLEOTIDE POLYMORPHISM; VERY ELDERLY; AGE; ALZHEIMER DISEASE; GENETIC ASSOCIATION STUDY; GENETICS; GENOME-WIDE ASSOCIATION STUDY; MEMORY; MEMORY DISORDER; METABOLISM; PATHOPHYSIOLOGY; PHYSIOLOGY; STRUCTURE ACTIVITY RELATION;

AGE FACTORS; AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; FEMALE; GENETIC ASSOCIATION STUDIES; GENOME-WIDE ASSOCIATION STUDY; HIPPOCAMPUS; HUMANS; LONGITUDINAL STUDIES; MALE; MEMORY; MEMORY DISORDERS; POLYMORPHISM, SINGLE NUCLEOTIDE; PROTEIN-SERINE-THREONINE KINASES; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84942549317     PISSN: 13594184     EISSN: 14765578     Source Type: Journal    
DOI: 10.1038/mp.2014.142     Document Type: Article

References (78)

1. Ballard C, Gauthier S, Corbett A, Brayne C, Aarsland D, Jones E. Alzheimer's disease. Lancet 2011; 377: 1019-1031.
2. Sweatt JD. Mechanisms of Memory, 2nd edn. Academic Press: Waltham, MA, USA, 2009.
3. Hurd MD, Martorell P, Delavande A, Mullen KJ, Langa KM. Monetary costs of dementia in the United States. N Engl J Med 2013; 368: 1326-1334.
4. Stranahan AM, Mattson MP. Recruiting adaptive cellular stress responses for successful brain ageing. Nat Rev Neurosci 2012; 13: 209-216.
5. Reitz C, Brayne C, Mayeux R. Epidemiology of Alzheimer disease. Nat Rev Neurol 2011; 7: 137-152.
6. Papassotiropoulos A, de Quervain DJ. Genetics of human episodic memory: dealing with complexity. Trends Cogn Sci 2011; 15: 381-387.
7. Harris SE, Deary IJ. The genetics of cognitive ability and cognitive ageing in healthy older people. Trends Cogn Sci 2011; 15: 388-394.
8. Gandhi S, Wood NW. Genome-wide association studies: the key to unlocking neurodegeneration? Nat Neurosci 2010; 13: 789-794.
9. Ramanan VK, Shen L, Moore JH, Saykin AJ. Pathway analysis of genomic data: concepts, methods, and prospects for future development. Trends Genet 2012; 28: 323-332.
10. Schadt EE. Molecular networks as sensors and drivers of common human diseases. Nature 2009; 461: 218-223.
11. Shen L, Thompson PM, Potkin SG, Bertram L, Farrer LA, Foroud TM et al. Genetic analysis of quantitative phenotypes in AD and MCI: imaging, cognition and biomarkers. Brain Imaging Behav 2014; 8: 183-207.
12. Juster FT, Suzman R. An overview of the Health and Retirement Study. J Hum Resour 1995; 30: S7.
13. Lovestone S, Francis P, Kloszewska I, Mecocci P, Simmons A, Soininen H et al. AddNeuroMed-the European collaboration for the discovery of novel biomarkers for Alzheimer's disease. Ann NY Acad Sci 2009; 1180: 36-46.
14. Weiner MW, Veitch DP, Aisen PS, Beckett LA, Cairns NJ, Green RC et al. The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception. Alzheimers Dement 2013; 9: e111-e194.
15. Nho K, Corneveaux JJ, Kim S, Lin H, Risacher SL, Shen L et al. Whole-exome sequencing and imaging genetics identify functional variants for rate of change in hippocampal volume in mild cognitive impairment. Mol Psychiatry 2013; 18: 781-787.
16. Bennett DA, Schneider JA, Buchman AS, Barnes LL, Boyle PA, Wilson RS. Overview and findings from the rush Memory and Aging Project. Curr Alzheimer Res 2012; 9: 646-663.
17. Bennett DA, Schneider JA, Arvanitakis Z, Wilson RS. Overview and findings from the religious orders study. Curr Alzheimer Res 2012; 9: 628-645.
18. St. Clair P, Bugliari D, Campbell N, Chien S, Hayden O, Hurd MD et al. RAND HRS Data Documentation, Version L. RAND Center for the Study of Aging 2011. RAND Corporation: Santa Monica, CA, USA; Accessed via http://www. rand. org/content/ dam/rand/www/external/labor/aging/dataprod/randhrsL. pdf.
19. Bush WS, Moore JH. Chapter 11: Genome-wide association studies. PLoS Comput Biol 2012; 8: e1002822.
20. Wallace RB, Herzog AR, DR Weir, Ofstedal MB, Langa KM, Fisher GG et al. Documentation of cognitive functioning measures in the Health and Retirement Study. HRS Documentation Report DR-006, 2005. Accessed via http:// hrsonline. isr. umich. edu/sitedocs/userg/dr-006. pdf.
21. Risacher SL, Saykin AJ, West JD, Shen L, Firpi HA, McDonald BC et al. Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort. Curr Alzheimer Res 2009; 6: 347-361.
22. Trojanowski JQ, Vandeerstichele H, Korecka M, Clark CM, Aisen PS, Petersen RC et al. Update on the biomarker core of the Alzheimer's Disease Neuroimaging Initiative subjects. Alzheimers Dement 2010; 6: 230-238.
23. Kim S, Swaminathan S, Inlow M, Risacher SL, Nho K, Shen L et al. Influence of genetic variation on plasma protein levels in older adults using a multianalyte panel. PLoS One 2013; 8: e70269.
24. Weir DR, Faul JD, Kardia SL, Smith JD, Doheny KF, Romm J et al. Quality control report for genotypic data. Health and Retirement Study, 2012. Accessed via http:// hrsonline. isr. umich. edu/sitedocs/genetics/HRS-QC-REPORT-MAR2012. pdf.
25. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007; 81: 559-575.
26. Zheng X, Levine D, Shen J, Gogarten SM, Laurie C, Weir BS. A high-performance computing toolset for relatedness and principal component analysis of SNP data. Bioinformatics 2012; 28: 3326-3328.
27. Howie B, Fuchsberger C, Stephens M, Marchini J, Abecasis GR. Fast and accurate genotype imputation in genome-wide association studies through pre-phasing. Nat Genet 2012; 44: 955-959.
28. Ramanan VK, Risacher SL, Nho K, Kim S, Swaminathan S, Shen L et al. APOE and BCHE as modulators of cerebral amyloid deposition: a florbetapir PET genomewide association study. Mol Psychiatry 2014; 19: 351-357.
29. Chibnik LB, Shulman JM, Leurgans SE, Schneider JA, Wilson RS, Tran D et al. CR1 is associated with amyloid plaque burden and age-related cognitive decline. Ann Neurol 2011; 69: 560-569.
30. Cruchaga C, Kauwe JSK, Harari O, Jin SC, Cai YF, Karch CM et al. GWAS of Cerebrospinal Fluid Tau Levels Identifies Risk Variants for Alzheimer's Disease. Neuron 2013; 78: 256-268.
31. Mukherjee S, Kim S, Gibbons LE, Nho K, Risacher SL, Glymour MM et al. Genetic architecture of resilience of executive functioning. Brain Imaging Behav 2012; 6: 621-633.
32. Pe'er I, Yelensky R, Altshuler D, Daly MJ. Estimation of the multiple testing burden for genomewide association studies of nearly all common variants. Genet Epidemiol 2008; 32: 381-385.
33. Barrett JC, Fry B, Maller J, Daly MJ. Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 2005; 21: 263-265.
34. Pruim RJ, Welch RP, Sanna S, Teslovich TM, Chines PS, Gliedt TP et al. LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics 2010; 26: 2336-2337.
35. Johnson AD, Handsaker RE, Pulit SL, Nizzari MM, O'Donnell CJ, de Bakker PI. SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap. Bioinformatics 2008; 24: 2938-2939.
36. Li MX, Kwan JS, Sham PC. HYST: a hybrid set-based test for genome-wide association studies, with application to protein-protein interaction-based association analysis. Am J Hum Genet 2012; 91: 478-488.
37. Nam D, Kim J, Kim S-Y, Kim S. GSA-SNP: a general approach for gene set analysis of polymorphisms. Nucleic Acids Res 2010; 38(Suppl 2): W749-W754.
38. Willer CJ, Li Y, Abecasis GR. METAL: fast and efficient meta-Analysis of genomewide association scans. Bioinformatics 2010; 26: 2190-2191.
39. Corder EH, Saunders AM, Strittmatter WJ, Schmechel DE, Gaskell PC, Small GW et al. Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer's disease in late onset families. Science 1993; 261: 921-923.
40. Ghezzi D, Saada A, D'Adamo P, Fernandez-Vizarra E, Gasparini P, Tiranti V et al. FASTKD2 nonsense mutation in an infantile mitochondrial encephalomyopathy associated with cytochrome c oxidase deficiency. Am J Hum Genet 2008; 83: 415-423.
41. Ramanathan A, Schreiber SL. Direct control of mitochondrial function by mTOR. Proc Natl Acad Sci USA 2009; 106: 22229-22232.
42. Pierce SB, Gersak K, Michaelson-Cohen R, Walsh T, Lee MK, Malach D et al. Mutations in LARS2, encoding mitochondrial leucyl-tRNA synthetase, lead to premature ovarian failure and hearing loss in Perrault syndrome. Am J Hum Genet 2013; 92: 614-620.
43. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-Analyses. Bmj 2003; 327: 557-560.
44. Yang TP, Beazley C, Montgomery SB, Dimas AS, Gutierrez-Arcelus M, Stranger BE et al. Genevar: a database and Java application for the analysis and visualization of SNP-gene associations in eQTL studies. Bioinformatics 2010; 26: 2474-2476.
45. Grundberg E, Small KS, Hedman AK, Nica AC, Buil A, Keildson S et al. Mapping cisand trans-regulatory effects across multiple tissues in twins. Nat Genet 2012; 44: 1084-1089.
46. Williams RW, Mulligan MK. Genetic and molecular network analysis of behavior. Int Rev Neurobiol 2012; 104: 135-157.
47. Webster JA, Gibbs JR, Clarke J, Ray M, Zhang W, Holmans P et al. Genetic control of human brain transcript expression in Alzheimer disease. Am J Hum Genet 2009; 84: 445-458.
48. Myers AJ, Gibbs JR, Webster JA, Rohrer K, Zhao A, Marlowe L et al. A survey of genetic human cortical gene expression. Nat Genet 2007; 39: 1494-1499.
49. Yeung KT, Das S, Zhang J, Lomniczi A, Ojeda SR, Xu CF et al. A novel transcription complex that selectively modulates apoptosis of breast cancer cells through regulation of FASTKD2. Mol Cell Biol 2011; 31: 2287-2298.
50. Beier CP, Kolbl M, Beier D, Woertgen C, Bogdahn U, Brawanski A. CD95/Fas mediates cognitive improvement after traumatic brain injury. Cell Res 2007; 17: 732-734.
51. Su JH, Anderson AJ, Cribbs DH, Tu C, Tong L, Kesslack P et al. Fas and Fas ligand are associated with neuritic degeneration in the AD brain and participate in betaamyloid-induced neuronal death. Neurobiol Dis 2003; 12: 182-193.
52. Jayanthi S, Deng X, Ladenheim B, McCoy MT, Cluster A, Cai NS et al. Calcineurin/ NFAT-induced up-regulation of the Fas ligand/Fas death pathway is involved in methamphetamine-induced neuronal apoptosis. Proc Natl Acad Sci USA 2005; 102: 868-873.
53. Hu WT, Chen-Plotkin A, Grossman M, Arnold SE, Clark CM, Shaw LM et al. Novel CSF biomarkers for frontotemporal lobar degenerations. Neurology 2010; 75: 2079-2086.
54. Papassotiropoulos A, Stefanova E, Vogler C, Gschwind L, Ackermann S, Spalek K et al. A genome-wide survey and functional brain imaging study identify CTNNBL1 as a memory-related gene. Mol Psychiatry 2011; 18: 255-263.
55. Kapranov P, Willingham AT, Gingeras TR. Genome-wide transcription and the implications for genomic organization. Nat Rev Genet 2007; 8: 413-423.
56. Consortium EP. An integrated encyclopedia of DNA elements in the human genome. Nature 2012; 489: 57-74.
57. Lewis A, Tomlinson I. Cancer. The utility of mouse models in post-GWAS research. Science 2012; 338: 1301-1302.
58. Hirschhorn JN. Genomewide association studies-illuminating biologic pathways. N Engl J Med 2009; 360: 1699-1701.
59. Bartel DP. MicroRNAs: target recognition and regulatory functions. Cell 2009; 136: 215-233.
60. Hirayama T, Tarusawa E, Yoshimura Y, Galjart N, Yagi T. CTCF is required for neural development and stochastic expression of clustered Pcdh genes in neurons. Cell Rep 2012; 2: 345-357.
61. Kang HJ, Kawasawa YI, Cheng F, Zhu Y, Xu X, Li M et al. Spatio-temporal transcriptome of the human brain. Nature 2011; 478: 483-489.
62. Frankland PW, Bontempi B. The organization of recent and remote memories. Nat Rev Neurosci 2005; 6: 119-130.
63. Papassotiropoulos A, Stephan DA, Huentelman MJ, Hoerndli FJ, Craig DW, Pearson JV et al. Common Kibra alleles are associated with human memory performance. Science 2006; 314: 475-478.
64. Thomson PA, Parla JS, McRae AF, Kramer M, Ramakrishnan K, Yao J et al. 708 Common and 2010 rare DISC1 locus variants identified in 1542 subjects: analysis for association with psychiatric disorder and cognitive traits. Mol Psychiatry 2014; 19: 668-675.
65. Zuccato C, Cattaneo E. Brain-derived neurotrophic factor in neurodegenerative diseases. Nat Revs Neurol 2009; 5: 311-322.
66. Huentelman MJ, Papassotiropoulos A, Craig DW, Hoerndli FJ, Pearson JV, Huynh KD et al. Calmodulin-binding transcription activator 1 (CAMTA1) alleles predispose human episodic memory performance. Hum Mol Genet 2007; 16: 1469-1477.
67. Schiepers OJ, Harris SE, Gow AJ, Pattie A, Brett CE, Starr JM et al. APOE E4 status predicts age-related cognitive decline in the ninth decade: longitudinal follow-up of the Lothian Birth Cohort 1921. Mol Psychiatry 2012; 17: 315-324.
68. Liu CC, Kanekiyo T, Xu H, Bu G. Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy. Nat Rev Neurol 2013; 9: 106-118.
69. Caselli RJ, Dueck AC, Osborne D, Sabbagh MN, Connor DJ, Ahern GL et al. Longitudinal modeling of age-related memory decline and the APOE epsilon4 effect. N Engl J Med 2009; 361: 255-263.
70. Ramanan VK, Saykin AJ. Pathways to neurodegeneration: mechanistic insights from GWAS in Alzheimer's disease, Parkinson's disease, and related disorders. Am J Neurodegener Dis 2013; 2: 145-175.
71. Papassotiropoulos A, Gerhards C, Heck A, Ackermann S, Aerni A, Schicktanz N et al. Human genome-guided identification of memory-modulating drugs. Proc Natl Acad Sci USA 2013; 110: E4369-E4374.
72. Spilman P, Podlutskaya N, Hart MJ, Debnath J, Gorostiza O, Bredesen D et al. Inhibition of mTOR by rapamycin abolishes cognitive deficits and reduces amyloid-beta levels in a mouse model of Alzheimer's disease. PLoS One 2010; 5: e9979.
73. Maiese K, Chong ZZ, Shang YC, Wang S. mTOR: on target for novel therapeutic strategies in the nervous system. Trends Mol Med 2013; 19: 51-60.
74. Wang L, Chiang HC, Wu W, Liang B, Xie Z, Yao X et al. Epidermal growth factor receptor is a preferred target for treating amyloid-beta-induced memory loss. Proc Natl Acad Sci USA 2012; 109: 16743-16748.
75. Ramanan VK, Kim S, Holohan K, Shen L, Nho K, Risacher SL et al. Genome-wide pathway analysis of memory impairment in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort implicates gene candidates, canonical pathways, and networks. Brain Imaging Behav 2012; 6: 634-648.
76. Lucin KM, Wyss-Coray T. Immune activation in brain aging and neurodegeneration: too much or too little? Neuron 2009; 64: 110-122.
77. Martins IJ, Hone E, Foster JK, Sunram-Lea SI, Gnjec A, Fuller SJ et al. Apolipoprotein E, cholesterol metabolism, diabetes, and the convergence of risk factors for Alzheimer's disease and cardiovascular disease. Mol Psychiatry 2006; 11: 721-736.
78. Bras J, Guerreiro R, Hardy J. Use of next-generation sequencing and other wholegenome strategies to dissect neurological disease. Nat Rev Neurosci 2012; 13: 453-464.