This is an old revision of the document!
GSCAN–or the GWAS & Sequencing Consortium of Alcohol and Nicotine use–is an international genetic association meta-analysis consortium. Our goal is to aggregate genetic association findings across scores of studies with millions of individuals. GSCAN is composed of three independent but related projects: 1) an exome chip meta-analysis of low-frequency non-synonymous variants, 2) a GWAS meta-analysis, and 3) a whole genome sequencing association meta-analysis.
This wiki page is to help organize GSCAN efforts for the coordinating investigators. If you represent a study that may be interested in participating in GSCAN you can find more information on our more public website. Look on the right-hand side of the page to find analysis plans for each of the three projects.
Regular conference calls are held and minutes are **available here**.
Freeze 1. We concluded a pilot freeze of the exome chip project in 2015 and are writing up our results now. All of the summary statistics are on twins at /net/twins/svrieze/everything-else/wp/GSCAN/freeze1-25-Mar-2015.
Freeze 2. New studies that will be included in Freeze 2 are located on RC at /work/KellerLab/GSCAN/EXOME. Each folder in that directory is the name of a study and includes two subfolders, one for Phenotypes and one for Genotypes. Genotypes are split by chromosome to facilitate analyses.
Progress, internal and external, are tracked in **this Google Doc**. More specific progress on internal studies is tracked here.
Study contact info is tracked in **this Google Sheet**.
Studies available in dbGaP, along with accession numbers, etc. are tracked in **this Airtable**.
Study data to which we have direct access are located either on twins or RC. Twins data are organized in the folder /net/twins/svrieze/everything-else/wp/GSCAN/GWAS. Within this folder those studies to which we have raw data access are in the folder CU_Boulder_samples (for lack of a better name!). Summary stats generated on these samples are organized within summary_stats_generated_internally. Summary stats generated by outside groups and submitted for meta-analysis are organized within summary_stats_generated_externally.
On RC the organization is similar. Everything is located within the folder /work/KellerLab/GSCAN/GWAS. Study data to which we have raw data access are in the folder individual_level_study_data. Summary stats generated on these samples are organized within summary_stats_generated_internally. Summary stats generated by outside groups and submitted for meta-analysis are organized within summary_stats_generated_externally.
The list of dbGaP studies in TOPMed is in **this Airtable**.