The best dataset for this audience is probably the most recent curated set of variant calls on 1000genomes.org. (Incidentally, the data access links appear down at the moment...)
This provides data in VCF format [1], which I would argue is the lowest level you want to go with this data unless you are doing variant calling methods development.
One tool you can use to analyze these data is PLINK/SEQ [2] (disclaimer: I work on the project). If any C++ devs are interested in contributing, let me know. (We'll have the source on Github soon...still pushing my group to learn Git :)
This provides data in VCF format [1], which I would argue is the lowest level you want to go with this data unless you are doing variant calling methods development.
One tool you can use to analyze these data is PLINK/SEQ [2] (disclaimer: I work on the project). If any C++ devs are interested in contributing, let me know. (We'll have the source on Github soon...still pushing my group to learn Git :)
[1] http://www.1000genomes.org/node/101
[2] atgu.mgh.harvard.edu/plinkseq/