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Alzheimer’s Disease: Analyzing the Missing Heritability

Overview of attention for article published in PLOS ONE, November 2013
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Title
Alzheimer’s Disease: Analyzing the Missing Heritability
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0079771
Pubmed ID
Authors

Perry G. Ridge, Shubhabrata Mukherjee, Paul K. Crane, John S. K. Kauwe, Alzheimer’s Disease Genetics Consortium

Abstract

Alzheimer's disease (AD) is a complex disorder influenced by environmental and genetic factors. Recent work has identified 11 AD markers in 10 loci. We used Genome-wide Complex Trait Analysis to analyze >2 million SNPs for 10,922 individuals from the Alzheimer's Disease Genetics Consortium to assess the phenotypic variance explained first by known late-onset AD loci, and then by all SNPs in the Alzheimer's Disease Genetics Consortium dataset. In all, 33% of total phenotypic variance is explained by all common SNPs. APOE alone explained 6% and other known markers 2%, meaning more than 25% of phenotypic variance remains unexplained by known markers, but is tagged by common SNPs included on genotyping arrays or imputed with HapMap genotypes. Novel AD markers that explain large amounts of phenotypic variance are likely to be rare and unidentifiable using genome-wide association studies. Based on our findings and the current direction of human genetics research, we suggest specific study designs for future studies to identify the remaining heritability of Alzheimer's disease.

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Geographical breakdown

Country Count As %
United States 3 <1%
Colombia 1 <1%
Brazil 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Unknown 330 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 18%
Student > Ph. D. Student 56 17%
Student > Bachelor 40 12%
Student > Master 36 11%
Other 21 6%
Other 50 15%
Unknown 74 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 16%
Biochemistry, Genetics and Molecular Biology 46 14%
Neuroscience 40 12%
Medicine and Dentistry 38 11%
Psychology 15 4%
Other 53 16%
Unknown 93 28%