Gene-based GWAS and -biological pathway analysis of the resilience of executive functioning
dc.contributor.author | Mukherjee, Shubhabrata | |
dc.contributor.author | Kim, Sungeun | |
dc.contributor.author | Ramanan, Vijay K. | |
dc.contributor.author | Gibbons, Laura E. | |
dc.contributor.author | Nho, Kwangsik | |
dc.contributor.author | Glymour, M. Maria | |
dc.contributor.author | Ertekin-Taner, Nilüfer | |
dc.contributor.author | Montine, Thomas J. | |
dc.contributor.author | Saykin, Andrew J. | |
dc.contributor.author | Crane, Paul K. | |
dc.contributor.author | Alzheimer’s Disease Neuroimaging Initiative | |
dc.contributor.department | Department of Radiology and Imaging Sciences, School of Medicine | en_US |
dc.date.accessioned | 2015-12-03T20:14:32Z | |
dc.date.available | 2015-12-03T20:14:32Z | |
dc.date.issued | 2014-03 | |
dc.description.abstract | Resilience in executive functioning (EF) is characterized by high EF measured by neuropsychological test performance despite structural brain damage from neurodegenerative conditions. We previously reported single nucleotide polymorphism (SNP) genome-wide association study (GWAS) results for EF resilience. Here, we report gene- and pathway-based analyses of the same resilience phenotype, using an optimal SNP-set (Sequence) Kernel Association Test (SKAT) for gene-based analyses (conservative threshold for genome-wide significance = 0.05/18,123=2.8×10−6) and the gene-set enrichment package GSA-SNP for biological pathway analyses (False discovery rate (FDR) < 0.05). Gene-based analyses found a genome-wide significant association between RNASE13 and EF resilience (p=1.33×10−7). Genetic pathways involved with dendritic/neuron spine, presynaptic membrane, postsynaptic density etc. were enriched with association to EF resilience. Although replication of these results is necessary, our findings indicate the potential value of gene- and pathway-based analyses in research on determinants of cognitive resilience. | en_US |
dc.eprint.version | Author's manuscript | en_US |
dc.identifier.citation | Mukherjee, S., Kim, S., Ramanan, V. K., Gibbons, L. E., Nho, K., Glymour, M. M., … Crane, P. K. (2014). Gene-based GWAS and -biological pathway analysis of the resilience of executive functioning. Brain Imaging and Behavior, 8(1), 110–118. http://doi.org/10.1007/s11682-013-9259-7 | en_US |
dc.identifier.uri | https://hdl.handle.net/1805/7614 | |
dc.language.iso | en_US | en_US |
dc.publisher | Springer US | en_US |
dc.relation.isversionof | 10.1007/s11682-013-9259-7 | en_US |
dc.relation.journal | Brain Imaging and Behavior | en_US |
dc.rights | Publisher Policy | en_US |
dc.source | PMC | en_US |
dc.subject | Memory | en_US |
dc.subject | executive functioning | en_US |
dc.subject | Alzheimer’s disease | en_US |
dc.subject | genes | en_US |
dc.subject | resilience | en_US |
dc.subject | pathways | en_US |
dc.title | Gene-based GWAS and -biological pathway analysis of the resilience of executive functioning | en_US |
dc.type | Article | en_US |