Skip to main content
Journal cover image

Assessment of the genetic variance of late-onset Alzheimer's disease.

Publication ,  Journal Article
Ridge, PG; Hoyt, KB; Boehme, K; Mukherjee, S; Crane, PK; Haines, JL; Mayeux, R; Farrer, LA; Pericak-Vance, MA; Schellenberg, GD; Kauwe, JSK ...
Published in: Neurobiol Aging
May 2016

Alzheimer's disease (AD) is a complex genetic disorder with no effective treatments. More than 20 common markers have been identified, which are associated with AD. Recently, several rare variants have been identified in Amyloid Precursor Protein (APP), Triggering Receptor Expressed On Myeloid Cells 2 (TREM2) and Unc-5 Netrin Receptor C (UNC5C) that affect risk for AD. Despite the many successes, the genetic architecture of AD remains unsolved. We used Genome-wide Complex Trait Analysis to (1) estimate phenotypic variance explained by genetics; (2) calculate genetic variance explained by known AD single nucleotide polymorphisms (SNPs); and (3) identify the genomic locations of variation that explain the remaining unexplained genetic variance. In total, 53.24% of phenotypic variance is explained by genetics, but known AD SNPs only explain 30.62% of the genetic variance. Of the unexplained genetic variance, approximately 41% is explained by unknown SNPs in regions adjacent to known AD SNPs, and the remaining unexplained genetic variance outside these regions.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Neurobiol Aging

DOI

EISSN

1558-1497

Publication Date

May 2016

Volume

41

Start / End Page

200.e13 / 200.e20

Location

United States

Related Subject Headings

  • Risk
  • Receptors, Immunologic
  • Receptors, Cell Surface
  • Polymorphism, Single Nucleotide
  • Neurology & Neurosurgery
  • Netrin Receptors
  • Membrane Glycoproteins
  • Male
  • Humans
  • Genome-Wide Association Study
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Ridge, P. G., Hoyt, K. B., Boehme, K., Mukherjee, S., Crane, P. K., Haines, J. L., … Alzheimer’s Disease Genetics Consortium (ADGC), . (2016). Assessment of the genetic variance of late-onset Alzheimer's disease. Neurobiol Aging, 41, 200.e13-200.e20. https://doi.org/10.1016/j.neurobiolaging.2016.02.024
Ridge, Perry G., Kaitlyn B. Hoyt, Kevin Boehme, Shubhabrata Mukherjee, Paul K. Crane, Jonathan L. Haines, Richard Mayeux, et al. “Assessment of the genetic variance of late-onset Alzheimer's disease.Neurobiol Aging 41 (May 2016): 200.e13-200.e20. https://doi.org/10.1016/j.neurobiolaging.2016.02.024.
Ridge PG, Hoyt KB, Boehme K, Mukherjee S, Crane PK, Haines JL, et al. Assessment of the genetic variance of late-onset Alzheimer's disease. Neurobiol Aging. 2016 May;41:200.e13-200.e20.
Ridge, Perry G., et al. “Assessment of the genetic variance of late-onset Alzheimer's disease.Neurobiol Aging, vol. 41, May 2016, pp. 200.e13-200.e20. Pubmed, doi:10.1016/j.neurobiolaging.2016.02.024.
Ridge PG, Hoyt KB, Boehme K, Mukherjee S, Crane PK, Haines JL, Mayeux R, Farrer LA, Pericak-Vance MA, Schellenberg GD, Kauwe JSK, Alzheimer’s Disease Genetics Consortium (ADGC). Assessment of the genetic variance of late-onset Alzheimer's disease. Neurobiol Aging. 2016 May;41:200.e13-200.e20.
Journal cover image

Published In

Neurobiol Aging

DOI

EISSN

1558-1497

Publication Date

May 2016

Volume

41

Start / End Page

200.e13 / 200.e20

Location

United States

Related Subject Headings

  • Risk
  • Receptors, Immunologic
  • Receptors, Cell Surface
  • Polymorphism, Single Nucleotide
  • Neurology & Neurosurgery
  • Netrin Receptors
  • Membrane Glycoproteins
  • Male
  • Humans
  • Genome-Wide Association Study