Publicly Available, Individual-Level, Gwas Data?

Question

[Mohammed Alquraishi]

Does anyone know of a publicly available data set that contains genotype-phenotype associations? All studies that I have seen seem to require an official request process through the NIH or some other body. The closest thing I've seen is the Personal Genome Project, but that only has information on 10 individuals. I'm looking for something a little larger.

[Chris Evelo]

I think you should also check this question, I think yours is essentially a duplicate. The answers that question mention both privacy issues involved and some sources that might be useful (even though you normally indeed have to make a request, precisely because of these privacy issues).

[Sean Davis]

You will find that the developing standard is to go through a data access committee (DAC). That is (and will probably remain) the standard way of accessing genotypic information derived both from sequencing technologies as well as microarrays. So, that is the equivalent of publicly available data.

Answer 1

[Paul]

This is the most well known large GWAS I think (by the Wellcome Trust Case Control Consortium):

http://www.ncbi.nlm.nih.gov/pubmed/17554300 http://www.wtccc.org.uk/info/070606.shtml

[Giovanni M Dall'Olio]

this data is available to anyone, but to access it you need to get permission from its Data Access Committee.

Answer 2

[Jeroen Van Goey]

The 1000 Genomes Project is the first project to sequence the genomes of a large number of people, to provide a deep characterization of human genome sequence variation as a foundation for investigating the relationship between genotype and phenotype.

As with other major human genome reference projects, data from the 1000 Genomes Project is made available quickly to the worldwide scientific community through freely accessible public databases.

Publication in Nature: A map of human genome variation from population-scale sequencing (pdf).

[Mohammed Alquraishi]

Thanks for the reply. I did see the 1000 Genomes Project, but unfortunately it does not as of yet provide any phenotype-genotype associations (correct me if I'm wrong). It's only genotypes.