The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer's disease.

Sci Data 2018 09 11;5:180185. Epub 2018 Sep 11.

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA.

Alzheimer's disease (AD) affects half the US population over the age of 85 and is universally fatal following an average course of 10 years of progressive cognitive disability. Genetic and genome-wide association studies (GWAS) have identified about 33 risk factor genes for common, late-onset AD (LOAD), but these risk loci fail to account for the majority of affected cases and can neither provide clinically meaningful prediction of development of AD nor offer actionable mechanisms. This cohort study generated large-scale matched multi-Omics data in AD and control brains for exploring novel molecular underpinnings of AD. Specifically, we generated whole genome sequencing, whole exome sequencing, transcriptome sequencing and proteome profiling data from multiple regions of 364 postmortem control, mild cognitive impaired (MCI) and AD brains with rich clinical and pathophysiological data. All the data went through rigorous quality control. Both the raw and processed data are publicly available through the Synapse software platform.

Download full-text PDF

Source
http://dx.doi.org/10.1038/sdata.2018.185DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132187PMC
September 2018
20 Reads

Publication Analysis

Top Keywords

alzheimer's disease
8
data
6
mild cognitive
4
provide clinically
4
cases provide
4
clinically meaningful
4
cognitive impaired
4
control mild
4
364 postmortem
4
offer actionable
4
development offer
4
postmortem control
4
meaningful prediction
4
prediction development
4
majority cases
4
account majority
4
rich clinical
4
late-onset load
4
genes common
4
factor genes
4

References

(Supplied by CrossRef)

S Gandy et al.
Annual Review of Medicine 2013

GD Schellenberg et al.
Acta Neuropathol 2012

B Jones et al.
Nature Reviews Neurology 2012

ETREM2 Niemitz et al.
Nature Genetics 2012

R Guerreiro et al.
New England Journal of Medicine 2013

H Neumann et al.
N Engl J Med 2013

T Jonsson et al.
N Engl J Med 2013

S Gandy et al.
Biol Psychiatry 2013

V Haroutunian et al.
Neurobiology of Aging 2009

SS Mirra et al.
Neurology 1991

H Braak et al.
Acta Neuropathol 2006

Similar Publications