Probably a lot of overlap between them, though, so you would need to de-duplicate.
Various scientific/professional genome datasets are available; for example, https://en.wikipedia.org/wiki/1000_Genomes_Project makes their 1k genomes available (but lacks any phenotype data). I don’t have a complete list of those and probably a lot of them would put a lot of barriers in the way of access. You could look at https://en.wikipedia.org/wiki/Category:Human_genome_projects but don’t expect much: privacy and ‘medical ethics’ and ‘publish or perish’ are why we can’t have nice things, and why there’s only a few thousand public genotypes even though we must be well past the million mark by now, considering 23andMe has done 700k+.
(I compiled this list of open DNA sources because I was curious about the possibility of checking for dysgenic trends by downloading all of them and then correlating the Rietveld SNP hits with reported age; as they have some of the largest effects and there’s 7+ of them now, I figure that if the postulated dysgenics effect of the better educated reproducing less was true, then it almost surely has been decreasing their frequency over the past few generations. 1000 Genomes is useless because they deliberately omit phenotype data like age, but I’ve already verified that there are a few hundred genomes in PGP with age/birthdate data, which may be enough. Still need to do a power analysis/simulation to see if it’s worth bothering.)
Yes; informal and crowdsourced ones where you can download and use without restriction include:
https://my.pgp-hms.org
https://opensnp.org
http://www.snpedia.com/index.php/Genomes
http://genomesunzipped.org/data
you can probably also dig up some non-included ones using good old search engines and searching for phrases unique to a 23andMe or other genotyping data export file, eg https://www.google.com/search?num=100&q=%23%20This%20data%20file%20generated%20by%2023andMe%20
Probably a lot of overlap between them, though, so you would need to de-duplicate.
Various scientific/professional genome datasets are available; for example, https://en.wikipedia.org/wiki/1000_Genomes_Project makes their 1k genomes available (but lacks any phenotype data). I don’t have a complete list of those and probably a lot of them would put a lot of barriers in the way of access. You could look at https://en.wikipedia.org/wiki/Category:Human_genome_projects but don’t expect much: privacy and ‘medical ethics’ and ‘publish or perish’ are why we can’t have nice things, and why there’s only a few thousand public genotypes even though we must be well past the million mark by now, considering 23andMe has done 700k+.
(I compiled this list of open DNA sources because I was curious about the possibility of checking for dysgenic trends by downloading all of them and then correlating the Rietveld SNP hits with reported age; as they have some of the largest effects and there’s 7+ of them now, I figure that if the postulated dysgenics effect of the better educated reproducing less was true, then it almost surely has been decreasing their frequency over the past few generations. 1000 Genomes is useless because they deliberately omit phenotype data like age, but I’ve already verified that there are a few hundred genomes in PGP with age/birthdate data, which may be enough. Still need to do a power analysis/simulation to see if it’s worth bothering.)