↓ Skip to main content

PLOS

Mitochondrial Haplotypes Associated with Biomarkers for Alzheimer’s Disease

Overview of attention for article published in PLOS ONE, September 2013
Altmetric Badge

Mentioned by

twitter
8 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
63 Mendeley
Title
Mitochondrial Haplotypes Associated with Biomarkers for Alzheimer’s Disease
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0074158
Pubmed ID
Authors

Perry G. Ridge, Andre Koop, Taylor J. Maxwell, Matthew H. Bailey, Russell H. Swerdlow, John S. K. Kauwe, Robyn A. Honea

Abstract

Various studies have suggested that the mitochondrial genome plays a role in late-onset Alzheimer's disease, although results are mixed. We used an endophenotype-based approach to further characterize mitochondrial genetic variation and its relationship to risk markers for Alzheimer's disease. We analyzed longitudinal data from non-demented, mild cognitive impairment, and late-onset Alzheimer's disease participants in the Alzheimer's Disease Neuroimaging Initiative with genetic, brain imaging, and behavioral data. We assessed the relationship of structural MRI and cognitive biomarkers with mitochondrial genome variation using TreeScanning, a haplotype-based approach that concentrates statistical power by analyzing evolutionarily meaningful groups (or clades) of haplotypes together for association with a phenotype. Four clades were associated with three different endophenotypes: whole brain volume, percent change in temporal pole thickness, and left hippocampal atrophy over two years. This is the first study of its kind to identify mitochondrial variation associated with brain imaging endophenotypes of Alzheimer's disease. Our results provide additional evidence that the mitochondrial genome plays a role in risk for Alzheimer's disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 2%
Spain 1 2%
United States 1 2%
Turkey 1 2%
Unknown 59 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 24%
Student > Master 12 19%
Student > Bachelor 5 8%
Student > Ph. D. Student 4 6%
Student > Doctoral Student 3 5%
Other 9 14%
Unknown 15 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 16%
Medicine and Dentistry 9 14%
Biochemistry, Genetics and Molecular Biology 6 10%
Neuroscience 5 8%
Psychology 5 8%
Other 8 13%
Unknown 20 32%