Literature DB >> 24072271

Gene-based GWAS and biological pathway analysis of the resilience of executive functioning.

Shubhabrata Mukherjee1, Sungeun Kim, Vijay K Ramanan, Laura E Gibbons, Kwangsik Nho, M Maria Glymour, Nilüfer Ertekin-Taner, Thomas J Montine, Andrew J Saykin, Paul K Crane.   

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.

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Year:  2014        PMID: 24072271      PMCID: PMC3944472          DOI: 10.1007/s11682-013-9259-7

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  45 in total

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3.  Development and assessment of a composite score for memory in the Alzheimer's Disease Neuroimaging Initiative (ADNI).

Authors:  Paul K Crane; Adam Carle; Laura E Gibbons; Philip Insel; R Scott Mackin; Alden Gross; Richard N Jones; Shubhabrata Mukherjee; S McKay Curtis; Danielle Harvey; Michael Weiner; Dan Mungas
Journal:  Brain Imaging Behav       Date:  2012-12       Impact factor: 3.978

4.  A composite score for executive functioning, validated in Alzheimer's Disease Neuroimaging Initiative (ADNI) participants with baseline mild cognitive impairment.

Authors:  Laura E Gibbons; Adam C Carle; R Scott Mackin; Danielle Harvey; Shubhabrata Mukherjee; Philip Insel; S McKay Curtis; Dan Mungas; Paul K Crane
Journal:  Brain Imaging Behav       Date:  2012-12       Impact factor: 3.978

5.  Gene and pathway-based second-wave analysis of genome-wide association studies.

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Review 6.  Cognition and neuropathology in aging: multidimensional perspectives from the Rush Religious Orders Study and Rush Memory And Aging Project.

Authors:  S Negash; D A Bennett; R S Wilson; J A Schneider; S E Arnold
Journal:  Curr Alzheimer Res       Date:  2011-06       Impact factor: 3.498

7.  Genetic architecture of resilience of executive functioning.

Authors:  Shubhabrata Mukherjee; Sungeun Kim; Laura E Gibbons; Kwangsik Nho; Shannon L Risacher; M Maria Glymour; Christian Habeck; Grace J Lee; Elizabeth Mormino; Nilüfer Ertekin-Taner; Thomas J Montine; Charles Decarli; Andrew J Saykin; Paul K Crane
Journal:  Brain Imaging Behav       Date:  2012-12       Impact factor: 3.978

Review 8.  Pathway analysis of genomic data: concepts, methods, and prospects for future development.

Authors:  Vijay K Ramanan; Li Shen; Jason H Moore; Andrew J Saykin
Journal:  Trends Genet       Date:  2012-04-03       Impact factor: 11.639

9.  Genome-wide pathway analysis of memory impairment in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort implicates gene candidates, canonical pathways, and networks.

Authors:  Vijay K Ramanan; Sungeun Kim; Kelly Holohan; Li Shen; Kwangsik Nho; Shannon L Risacher; Tatiana M Foroud; Shubhabrata Mukherjee; Paul K Crane; Paul S Aisen; Ronald C Petersen; Michael W Weiner; Andrew J Saykin
Journal:  Brain Imaging Behav       Date:  2012-12       Impact factor: 3.978

10.  EnigmaVis: online interactive visualization of genome-wide association studies of the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) consortium.

Authors:  Nic M Novak; Jason L Stein; Sarah E Medland; Derrek P Hibar; Paul M Thompson; Arthur W Toga
Journal:  Twin Res Hum Genet       Date:  2012-06       Impact factor: 1.587

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  19 in total

1.  Genetic modification of the relationship between phosphorylated tau and neurodegeneration.

Authors:  Timothy J Hohman; Mary Ellen I Koran; Tricia A Thornton-Wells
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2.  Multivariate genome wide association and network analysis of subcortical imaging phenotypes in Alzheimer's disease.

Authors:  Xianglian Meng; Jin Li; Qiushi Zhang; Feng Chen; Chenyuan Bian; Xiaohui Yao; Jingwen Yan; Zhe Xu; Shannon L Risacher; Andrew J Saykin; Hong Liang; Li Shen
Journal:  BMC Genomics       Date:  2020-12-29       Impact factor: 3.969

Review 3.  Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; John C Morris; Ronald C Petersen; Andrew J Saykin; Leslie M Shaw; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2017-03-22       Impact factor: 21.566

Review 4.  Recent Advances in the Systems Biology of Aging.

Authors:  Mark A McCormick; Daniel E L Promislow
Journal:  Antioxid Redox Signal       Date:  2017-11-20       Impact factor: 8.401

Review 5.  Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans.

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Journal:  Alzheimers Dement       Date:  2015-07       Impact factor: 21.566

Review 6.  The Alzheimer's Disease Neuroimaging Initiative 3: Continued innovation for clinical trial improvement.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; John C Morris; Ronald C Petersen; Jennifer Salazar; Andrew J Saykin; Leslie M Shaw; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2016-12-05       Impact factor: 21.566

7.  Powerful and Adaptive Testing for Multi-trait and Multi-SNP Associations with GWAS and Sequencing Data.

Authors:  Junghi Kim; Yiwei Zhang; Wei Pan
Journal:  Genetics       Date:  2016-04-13       Impact factor: 4.562

8.  Integrative Bayesian variable selection with gene-based informative priors for genome-wide association studies.

Authors:  Xiaoshuai Zhang; Fuzhong Xue; Hong Liu; Dianwen Zhu; Bin Peng; Joseph L Wiemels; Xiaowei Yang
Journal:  BMC Genet       Date:  2014-12-10       Impact factor: 2.797

9.  Applying Novel Methods for Assessing Individual- and Neighborhood-Level Social and Psychosocial Environment Interactions with Genetic Factors in the Prediction of Depressive Symptoms in the Multi-Ethnic Study of Atherosclerosis.

Authors:  Erin B Ware; Jennifer A Smith; Bhramar Mukherjee; Seunggeun Lee; Sharon L R Kardia; Ana V Diez-Roux
Journal:  Behav Genet       Date:  2015-08-09       Impact factor: 2.805

10.  Involvement of endocytosis and alternative splicing in the formation of the pathological process in the early stages of Parkinson's disease.

Authors:  Anelya Kh Alieva; Maria I Shadrina; Elena V Filatova; Aleksey V Karabanov; Sergey N Illarioshkin; Svetlana A Limborska; Petr A Slominsky
Journal:  Biomed Res Int       Date:  2014-04-03       Impact factor: 3.411

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