The CADM2 gene is associated with processing speed performance – evidence among elderly with type 2 diabetes

References

• Ahtiluoto S, Polvikoski T, Peltonen M, Solomon A, Tuomilehto J, Winblad B, Sulkava R, Kivipelto M. 2010. Diabetes, Alzheimer disease, and vascular dementia: a population-based neuropathologic study. Neurology. 75:1195–1202.
   PubMed Web of Science ®Google Scholar
• Beeri MS, Ravona-Springer R, Moshier E, Schmeidler J, Godbold J, Karpati T, Leroith D, Koifman K, Kravitz E, Price R, et al. 2014. The Israel Diabetes and Cognitive Decline (IDCD) study: design and baseline characteristics. Alzheimers Dement. 10:769–778.
   PubMed Web of Science ®Google Scholar
• Beeri MS, Ravona-Springer R, Silverman JM, Haroutunian V. 2009. The effects of cardiovascular risk factors on cognitive compromise. Dialogues Clin Neurosci. 11:201–212.
   PubMedGoogle Scholar
• Beeri MS, Schmeidler J, Sano M, Wang J, Lally R, Grossman H, Silverman JM. 2006. Age, gender, and education norms on the CERAD neuropsychological battery in the oldest old. Neurology. 67:1006–1010.
   PubMed Web of Science ®Google Scholar
• Casey JP, Magalhaes T, Conroy JM, Regan R, Shah N, Anney R, Shields DC, Abrahams BS, Almeida J, Bacchelli E, et al. 2012. A novel approach of homozygous haplotype sharing identifies candidate genes in autism spectrum disorder. Hum Genet. 131:565–579.
   PubMed Web of Science ®Google Scholar
• Cirulli ET, Kasperaviciūte D, Attix DK, Need AC, Ge D, Gibson G, Goldstein DB. 2010. Common genetic variation and performance on standardized cognitive tests. Eur J Hum Genet. 18:815–820.
   PubMed Web of Science ®Google Scholar
• Cox AJ, Hugenschmidt CE, Raffield LM, Langefeld CD, Freedman BI, Williamson JD, Hsu FC, Bowden DW. 2014. Heritability and genetic association analysis of cognition in the Diabetes Heart Study. Neurobiol Aging. 35:1958e3–1958e12.
   Web of Science ®Google Scholar
• Davies G, Armstrong N, Bis JC, Bressler J, Chouraki V, Giddaluru S, Hofer E, Ibrahim-Verbaas CA, Kirin M, Lahti J, et al. 2015. Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N = 53949). Mol Psychiatry. 20:183–192.
   PubMed Web of Science ®Google Scholar
• Davies G, Marioni RE, Liewald DC, Hill WD, Hagenaars SP, Harris SE, Ritchie SJ, Luciano M, Fawns-Ritchie C, Lyall D, et al. 2016. Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N = 112 151). Mol Psychiatry. 21:758–767.
   PubMed Web of Science ®Google Scholar
• Day FR, Helgason H, Chasman DI, Rose LM, Loh PR, Scott RA, Helgason A, Kong A, Masson G, Magnusson OT, et al. 2016. Physical and neurobehavioral determinants of reproductive onset and success. Nat Genet. 48:617–623.
   PubMed Web of Science ®Google Scholar
• Fillenbaum GG, Peterson B, Morris JC. 1996. Estimating the validity of the clinical Dementia Rating Scale: the CERAD experience. Consortium to Establish a Registry for Alzheimer’s Disease. Aging (Milano). 8:379–385.
   PubMedGoogle Scholar
• Folstein MF, Folstein SE, McHugh PR. 1975. “Mini-mental state. A practical method for grading the cognitive state of patients for the clinician”. J Psychiatr Res. 12:189–198.
   PubMed Web of Science ®Google Scholar
• Frei JA, Andermatt I, Gesemann M, Stoeckli ET. 2014. The SynCAM synaptic cell adhesion molecules are involved in sensory axon pathfinding by regulating axon-axon contacts. J Cell Sci. 127:5288–5302.
   PubMed Web of Science ®Google Scholar
• Greenbaum L, Springer RR, Lutz MW, Heymann A, Lubitz I, Cooper I, Kravitz E, Sano M, Roses AD, Silverman JM, et al. 2014. The TOMM40 poly-T rs10524523 variant is associated with cognitive performance among non-demented elderly with type 2 diabetes. Eur Neuropsychopharmacol. 24:1492–1499.
   PubMed Web of Science ®Google Scholar
• Greenbaum L, Ravona-Springer R, Lubitz I, Schmeidler J, Cooper I, Sano M, Silverman JM, Heymann A, Beeri MS. 2016. Potential contribution of the Alzheimer’s disease risk locus BIN1 to episodic memory performance in cognitively normal Type 2 diabetes elderly. Eur Neuropsychopharmacol. 26:787–795.
   PubMed Web of Science ®Google Scholar
• He C, Holme J, Anthony J. 2014. SNP genotyping: the KASP assay. Methods Mol Biol. 1145:75–86.
   PubMedGoogle Scholar
• Ibrahim-Verbaas CA, Bressler J, Debette S, Schuur M, Smith AV, Bis JC, Davies G, Trompet S, Smith JA, Wolf C, et al. 2016. GWAS for executive function and processing speed suggests involvement of the CADM2 gene. Mol Psychiatry. 21:189–197.
   PubMed Web of Science ®Google Scholar
• LeBlanc M, Kulle B, Sundet K, Agartz I, Melle I, Djurovic S, Frigessi A, Andreassen OA. 2012. Genome-wide study identifies PTPRO and WDR72 and FOXQ1-SUMO1P1 interaction associated with neurocognitive function. J Psychiatr Res. 46:271–278.
   PubMed Web of Science ®Google Scholar
• Lee T, Mosing MA, Henry JD, Trollor JN, Lammel A, Ames D, Martin NG, Wright MJ, Sachdev PS. 2012. Genetic influences on five measures of processing speed and their covariation with general cognitive ability in the elderly: the older Australian twins study. Behav Genet. 42:96–106.
   PubMed Web of Science ®Google Scholar
• Luchsinger JA. 2012. Type 2 diabetes and cognitive impairment: linking mechanisms. J Alzheimers Dis. 30(Suppl 2):S185–S198.
   PubMed Web of Science ®Google Scholar
• Luchsinger JA. 2010. Diabetes, related conditions, and dementia. J Neurol Sci. 299:35–38.
   PubMed Web of Science ®Google Scholar
• Luciano M, Hansell NK, Lahti J, Davies G, Medland SE, Raikkonen K, Tenesa A, Widen E, McGhee KA, Palotie A, et al. 2011. Whole genome association scan for genetic polymorphisms influencing information processing speed. Biol Psychol. 86:193–202.
   PubMed Web of Science ®Google Scholar
• Miranda-Lora AL, Cruz M, Aguirre-Hernandez J, Molina-Diaz M, Gutierrez J, Flores-Huerta S, Klunder-Klunder M. 2017. Exploring single nucleotide polymorphisms previously related to obesity and metabolic traits in pediatric-onset type 2 diabetes. Acta Diabetol. 54:653–662.
   PubMed Web of Science ®Google Scholar
• Newcombe F. 1969. Missile wounds of the brain: a study of psychological deficits. Oxford (UK): Oxford University Press.
   Google Scholar
• Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, et al. 2007. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 81:559–575.
   PubMed Web of Science ®Google Scholar
• Ravona-Springer R, Heymann A, Schmeidler J, Guerrero-Berroa E, Sano M, Preiss R, Koifman K, Hoffman H, Levy A, Silverman JM, et al. 2013. Haptoglobin 1-1 genotype is associated with poorer cognitive functioning in the elderly with type 2 diabetes. Diabetes Care. 36:3139–3145.
   PubMed Web of Science ®Google Scholar
• Reitan RM. 1955. The relation of the trail making test to organic brain damage. J Consult Psychol. 19:393–394.
   PubMedGoogle Scholar
• Salthouse TA. 1996. The processing-speed theory of adult age differences in cognition. Psychol Rev. 103:403–428.
   PubMed Web of Science ®Google Scholar
• Schnaider Beeri M, Goldbourt U, Silverman JM, Noy S, Schmeidler J, Ravona-Springer R, Sverdlick A, Davidson M. 2004. Diabetes mellitus in midlife and the risk of dementia three decades later. Neurology. 63:1902–1907.
   PubMed Web of Science ®Google Scholar
• Semagn K, Babu R, Hearne S, Olsen M. 2014. Single nucleotide polymorphism genotyping using Kompetitive Allele Specific PCR (KASP): overview of the technology and its application in crop improvement. Mol Breeding. 33:1.
   Web of Science ®Google Scholar
• Speliotes EK, Willer CJ, Berndt SI, Monda KL, Thorleifsson G, Jackson AU, Lango Allen H, Lindgren CM, Luan J, Magi R, et al. 2010. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet. 42:937–948.
   PubMed Web of Science ®Google Scholar
• Spreen O, Benton A. 1977. Neurosensory center comprehensive examination for aphasia (NCCEA), 1977 revision: manual of instructions. Victoria (BC): Neuropsychology Laboratory, University of Victoria.
   Google Scholar
• Stringer S, Minica CC, Verweij KJ, Mbarek H, Bernard M, Derringer J, van Eijk KR, Isen JD, Loukola A, Maciejewski DF, et al. 2016. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium. Transl Psychiatry. 6:e769.
   PubMed Web of Science ®Google Scholar
• Takeuchi H, Kawashima R. 2012. Effects of processing speed training on cognitive functions and neural systems. Rev Neurosci. 23:289–301.
   PubMed Web of Science ®Google Scholar
• Thomas LA, Akins MR, Biederer T. 2008. Expression and adhesion profiles of SynCAM molecules indicate distinct neuronal functions. J Comp Neurol. 510:47–67.
   PubMed Web of Science ®Google Scholar
• Trampush JM, Yang ML, Yu J, Knowles E, Davies G, Liewald DC, Starr JM, Djurovic S, Melle I, Sundet K, et al. 2017. GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium. Mol Psychiatry. 22:336–345.
   PubMed Web of Science ®Google Scholar
• Tucker-Drob EM, Reynolds CA, Finkel D, Pedersen NL. 2014. Shared and unique genetic and environmental influences on aging-related changes in multiple cognitive abilities. Dev Psychol. 50:152–166.
   PubMed Web of Science ®Google Scholar
• Wechsler D. 1981. Wechsler Adult Intelligence Scale-Revised Manual. San Antonio (TX): The Psychological Corporation.
   Google Scholar
• Wechsler D. 1987. Wechsler Memory Scale- Revised Manual. San Antonio (TX): The Psychological Corporation.
   Google Scholar
• Welsh KA, Butters N, Mohs RC, Beekly D, Edland S, Fillenbaum G, Heyman A. 1994. The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD). Part V. A normative study of the neuropsychological battery. Neurology. 44:609–614.
   PubMed Web of Science ®Google Scholar
• Wright M, De Geus E, Ando J, Luciano M, Posthuma D, Ono Y, Hansell N, Van Baal C, Hiraishi K, Hasegawa T, et al. 2001. Genetics of cognition: outline of a collaborative twin study. Twin Res. 4:48–56.
   PubMedGoogle Scholar
• Yesavage JA. 1988. Geriatric Depression Scale. Psychopharmacol Bull. 24:709–711.
   PubMed Web of Science ®Google Scholar