Update 13/09/2013: Actually, to run GPS users can input what seem to be Geno 2.0 autosomal ancestry proportions into the relevant fields on this page. Now, for various reasons I don't have a very high opinion of the Geno 2.0 autosomal test, so it's not something I'll ever pay for. However, I just quickly put together a K=9 test that roughly approximates the Geno 2.0 analysis. It's a bit noisy, but here's the GPS result it generated (using 10 reference populations), which is fairly accurate... Ad-Mix page > Eurogenes > Eurogenes K9b), but I can't guarantee it'll produce accurate results for everyone. My outcome might have been a bit of a fluke. I'd say the best thing to do is to wait until the site starts accepting raw genotype data from users (see here). ... This thing will apparently predict your biogeographical origins down to your "home village". That's unlikely to be relevant for most personal genomics customers, but it just so happens that I do come from a small Polish village, so I'll certainly be able to test the veracity of this claim. I tried uploading my 23andMe data just now, but it told me to come back later, so I guess it's not ready yet.
The search for a biogeographical method that utilizes biological information to predict one's place of origin has occupied scientists for millennia. Modern biogeographical algorithms achieve an accuracy of 700 km in Europe but are highly inaccurate elsewhere, particularly in Southeast Asia and Oceania. Here, we present the admixture-based Geographic Population Structure (GPS) method that accurately infers the biogeography of worldwide individuals down to their village of origin. GPS' accuracy is demonstrated on three datasets: worldwide populations, Southeast Asians and Oceanians, and Sardinians (Italy) using 40,000-130,000 GenoChip markers. GPS correctly placed 80% of worldwide individuals within their country of origin with an accuracy of 87% for Asians and Oceanians. Applied to over 200 Sardinians villagers of both sexes, GPS placed a quarter of them within their villages and most of the remaining within 50 km of their villages, allowing us to identify the demographic processes that shaped the Sardinian society. Finally, we We further demonstrate additional three applications of GPS in tracing the biogeographical origin of the Druze population and uncovering the European origins of North Americans. The accuracy and power of GPS underscore the promise of admixture-based methods to biogeography and has important ramifications for genetic ancestry testing, forensic and medical sciences, and genetic privacy.
Ahh, OK, so you have to be a Sardinian villager to get the most out of this tool. Well, I'm still looking forward to putting it through its paces. That link again: Geographic Population Structure (GPS) prediction.