Literature DB >> 32593031

Association of hippocampal volume polygenic predictor score with baseline and change in brain volumes and cognition among cognitively healthy older adults.

Nicole M Armstrong1, Logan Dumitrescu2, Chiung-Wei Huang3, Yang An1, Toshiko Tanaka1, Dena Hernandez1, Jimit Doshi4, Guray Erus4, Christos Davatzikos4, Luigi Ferrucci1, Susan M Resnick5, Timothy J Hohman2.   

Abstract

A high hippocampal volume polygenic predictor score (HV-PPS), computed based on GWAS summary statistics (n = 33,536), could be protective against declines in brain volume and cognition in older adults. Linear mixed-effects models with random intercepts and slopes were used to estimate associations of HV-PPS with baseline and annual rate of change in both brain volumes (n = 508) and cognitive performance (n = 1041) in Caucasian Baltimore Longitudinal Study of Aging participants. Higher HV-PPS was associated with greater baseline volumes of the hippocampus and parahippocampal gyrus, and slower rates of ventricular enlargement and volume loss in frontal and parietal white matter, all adjusted for intracranial volume. In addition, higher HV-PPS was associated with better executive function performance and slower rates of decline in verbal fluency scores over time. Individuals with a genetic predisposition toward larger hippocampal volumes show better baseline executive function, slower decline in verbal fluency performance, and slower rates of longitudinal brain atrophy. Published by Elsevier Inc.

Entities:  

Keywords:  APOE; Cognitive function; Genetics; Hippocampus; Polygenic predictor score

Mesh:

Year:  2020        PMID: 32593031      PMCID: PMC8893954          DOI: 10.1016/j.neurobiolaging.2020.05.007

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  47 in total

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Authors:  A Convit; J de Asis; M J de Leon; C Y Tarshish; S De Santi; H Rusinek
Journal:  Neurobiol Aging       Date:  2000 Jan-Feb       Impact factor: 4.673

Review 2.  Two cortical systems for memory-guided behaviour.

Authors:  Charan Ranganath; Maureen Ritchey
Journal:  Nat Rev Neurosci       Date:  2012-10       Impact factor: 34.870

3.  Brain volume change and cognitive trajectories in aging.

Authors:  Evan Fletcher; Brandon Gavett; Danielle Harvey; Sarah Tomaszewski Farias; John Olichney; Laurel Beckett; Charles DeCarli; Dan Mungas
Journal:  Neuropsychology       Date:  2018-03-01       Impact factor: 3.295

4.  Rapidly progressing atrophy of medial temporal lobe in Alzheimer's disease.

Authors:  K A Jobst; A D Smith; M Szatmari; M M Esiri; A Jaskowski; N Hindley; B McDonald; A J Molyneux
Journal:  Lancet       Date:  1994-04-02       Impact factor: 79.321

Review 5.  Diffusion tensor imaging of cerebral white matter integrity in cognitive aging.

Authors:  David J Madden; Ilana J Bennett; Agnieszka Burzynska; Guy G Potter; Nan-Kuei Chen; Allen W Song
Journal:  Biochim Biophys Acta       Date:  2011-08-16

6.  Genetic and environmental influences on the size of specific brain regions in midlife: the VETSA MRI study.

Authors:  William S Kremen; Elizabeth Prom-Wormley; Matthew S Panizzon; Lisa T Eyler; Bruce Fischl; Michael C Neale; Carol E Franz; Michael J Lyons; Jennifer Pacheco; Michele E Perry; Allison Stevens; J Eric Schmitt; Michael D Grant; Larry J Seidman; Heidi W Thermenos; Ming T Tsuang; Seth A Eisen; Anders M Dale; Christine Fennema-Notestine
Journal:  Neuroimage       Date:  2009-09-26       Impact factor: 6.556

7.  MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection.

Authors:  Jimit Doshi; Guray Erus; Yangming Ou; Susan M Resnick; Ruben C Gur; Raquel E Gur; Theodore D Satterthwaite; Susan Furth; Christos Davatzikos
Journal:  Neuroimage       Date:  2015-12-08       Impact factor: 6.556

8.  Genetic architecture of subcortical brain regions: common and region-specific genetic contributions.

Authors:  M E Rentería; N K Hansell; L T Strike; K L McMahon; G I de Zubicaray; I B Hickie; P M Thompson; N G Martin; S E Medland; M J Wright
Journal:  Genes Brain Behav       Date:  2014-10-08       Impact factor: 3.449

9.  NeuroChip, an updated version of the NeuroX genotyping platform to rapidly screen for variants associated with neurological diseases.

Authors:  Cornelis Blauwendraat; Faraz Faghri; Lasse Pihlstrom; Joshua T Geiger; Alexis Elbaz; Suzanne Lesage; Jean-Christophe Corvol; Patrick May; Aude Nicolas; Yevgeniya Abramzon; Natalie A Murphy; J Raphael Gibbs; Mina Ryten; Raffaele Ferrari; Jose Bras; Rita Guerreiro; Julie Williams; Rebecca Sims; Steven Lubbe; Dena G Hernandez; Kin Y Mok; Laurie Robak; Roy H Campbell; Ekaterina Rogaeva; Bryan J Traynor; Ruth Chia; Sun Ju Chung; John A Hardy; Alexis Brice; Nicholas W Wood; Henry Houlden; Joshua M Shulman; Huw R Morris; Thomas Gasser; Rejko Krüger; Peter Heutink; Manu Sharma; Javier Simón-Sánchez; Mike A Nalls; Andrew B Singleton; Sonja W Scholz
Journal:  Neurobiol Aging       Date:  2017-05-17       Impact factor: 4.673

10.  Estimation and partitioning of polygenic variation captured by common SNPs for Alzheimer's disease, multiple sclerosis and endometriosis.

Authors:  S Hong Lee; Denise Harold; Dale R Nyholt; Michael E Goddard; Krina T Zondervan; Julie Williams; Grant W Montgomery; Naomi R Wray; Peter M Visscher
Journal:  Hum Mol Genet       Date:  2012-11-28       Impact factor: 6.150

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