Dataset

NG00042 - Miami, Vanderbilt, and Medical School of Mount Sinai (UMVUMSSM) GWAS

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Overview

UMVUMSSM is a GWAS dataset used in the discovery stage of the ADGC Naj et al. meta-analysis from 2011. It is one of the ten cohorts assembled by ADGC to identify genetic variants in LOAD. This dataset contains 1,172 cases and 1,123 controls (and 167 unknown) ascertained through the Collaborative Alzheimer's Project (CAP) comprising the University of Miami (UM), Vanderbilt University (VU) and Mount Sinai School of Medicine (MSSM).


The dataset has been classified into three PLINK filesets, labeled with "a", "b", and "c", based on the platforms on which the subjects were genotyped.  More platform-specific information can be found below. Detailed information about the dataset is provided in the following document, umvumssm_summary.docx.

This dataset was updated 12/19/2018. See the following file for additional information: NG00042_UMVUMSSM_README.txt

Molecular Data Type

Disease

AD
Submission date: 
2/2/2015
Samples

UMVUMSSM

Subjects a b c
Cases 468 401 303
Controls 651 343 129
Unknown 34 120 13
Total 1153 864 445

 

Total- 2462 subjects

 

Phenotypes
Markers
  UMVUMSSM
Datasets a b c
Markers 484960 830115 448854

 

Platform
Subject classification Platform
a Illumina 1M-Duo, Illumina 1M
b Affymetrix 6.0
c Illumina 550K, Illumina 610-Quad

 

PI Information