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Genetic correlates of brain aging on MRI and cognitive test measures: a genome-wide association and linkage analysis in the Framingham study

Overview of attention for article published in BMC Medical Genomics, September 2007
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Title
Genetic correlates of brain aging on MRI and cognitive test measures: a genome-wide association and linkage analysis in the Framingham study
Published in
BMC Medical Genomics, September 2007
DOI 10.1186/1471-2350-8-s1-s15
Pubmed ID
Authors

Sudha Seshadri, Anita L DeStefano, Rhoda Au, Joseph M Massaro, Alexa S Beiser, Margaret Kelly-Hayes, Carlos S Kase, Ralph B D'Agostino, Charles DeCarli, Larry D Atwood, Philip A Wolf

Abstract

Brain magnetic resonance imaging (MRI) and cognitive tests can identify heritable endophenotypes associated with an increased risk of developing stroke, dementia and Alzheimer's disease (AD). We conducted a genome-wide association (GWA) and linkage analysis exploring the genetic basis of these endophenotypes in a community-based sample. A total of 705 stroke- and dementia-free Framingham participants (age 62 +9 yrs, 50% male) who underwent volumetric brain MRI and cognitive testing (1999-2002) were genotyped. We used linear models adjusting for first degree relationships via generalized estimating equations (GEE) and family based association tests (FBAT) in additive models to relate qualifying single nucleotide polymorphisms (SNPs, 70,987 autosomal on Affymetrix 100K Human Gene Chip with minor allele frequency > or = 0.10, genotypic call rate > or = 0.80, and Hardy-Weinberg equilibrium p-value > or = 0.001) to multivariable-adjusted residuals of 9 MRI measures including total cerebral brain (TCBV), lobar, ventricular and white matter hyperintensity (WMH) volumes, and 6 cognitive factors/tests assessing verbal and visuospatial memory, visual scanning and motor speed, reading, abstract reasoning and naming. We determined multipoint identity-by-descent utilizing 10,592 informative SNPs and 613 short tandem repeats and used variance component analyses to compute LOD scores. The strongest gene-phenotype association in FBAT analyses was between SORL1 (rs1131497; p = 3.2 x 10(-6)) and abstract reasoning, and in GEE analyses between CDH4 (rs1970546; p = 3.7 x 10(-8)) and TCBV. SORL1 plays a role in amyloid precursor protein processing and has been associated with the risk of AD. Among the 50 strongest associations (25 each by GEE and FBAT) were other biologically interesting genes. Polymorphisms within 28 of 163 candidate genes for stroke, AD and memory impairment were associated with the endophenotypes studied at p < 0.001. We confirmed our previously reported linkage of WMH on chromosome 4 and describe linkage of reading performance to a marker on chromosome 18 (GATA11A06), previously linked to dyslexia (LOD scores = 2.2 and 5.1). Our results suggest that genes associated with clinical neurological disease also have detectable effects on subclinical phenotypes. These hypothesis generating data illustrate the use of an unbiased approach to discover novel pathways that may be involved in brain aging, and could be used to replicate observations made in other studies.

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Mendeley readers

The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Germany 3 1%
United Kingdom 2 <1%
Australia 1 <1%
Sweden 1 <1%
Netherlands 1 <1%
India 1 <1%
China 1 <1%
Singapore 1 <1%
Other 0 0%
Unknown 200 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 51 24%
Student > Ph. D. Student 42 19%
Professor > Associate Professor 20 9%
Student > Master 18 8%
Student > Doctoral Student 17 8%
Other 37 17%
Unknown 32 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 20%
Medicine and Dentistry 39 18%
Psychology 36 17%
Neuroscience 24 11%
Biochemistry, Genetics and Molecular Biology 16 7%
Other 15 7%
Unknown 43 20%