AI in Genetics. Chasing Ingrians ( Aryans) in Sigtuna Cemetery
Data from : https://www.cell.com/current-biology/fulltext/S0960-9822(18)30844-3
I find it puzzling why a large group of people from “somewhere from the Baltics between Finland and Lithuania gets an empty spot on the genetics graphs of what you would think is a work of serious researchers. “ My hypothesis is that most of that research comes from Germany ( or at least as collaborators), and claiming a mystical nation DNA is probably unsuitable for anyone’s career.
I asked the robot to analyze this graph to explain the data.
The text in quotes generated by ChatGPT4o
The graph you provided compares the strontium isotope values (x-axis) against some genetic data represented by the f3 statistic (y-axis) for different samples. The data points are grouped into three categories based on strontium values: “Non-local strontium,” “Local strontium,” and “Non-local strontium.”
For the sample labeled “kal009,” here’s the detailed explanation:
Strontium Value (x-axis): The x-axis represents the strontium isotope values. For “kal009,” this value appears to be around 0.713.
Genetic Data (y-axis): The y-axis represents the f3 statistic (f3,X,Norwegian), which likely measures genetic relatedness between a reference population (YRI, probably Yoruba from the 1000 Genomes Project), the sample population (X), and Norwegians. The y-axis value for “kal009” is around 0.17.
Error Bars: The vertical error bars represent the uncertainty in the f3 statistic measurement, while the horizontal error bars (if present) would represent the uncertainty in the strontium values.
Color Coding: It seems the points are color-coded (blue and red), potentially indicating different genetic groupings or additional categorizations. “kal009” is represented in red.
Categories: “kal009” falls within the “Non-local strontium” category on the left side of the graph. This indicates that the strontium isotope value for “kal009” does not match the local strontium range, suggesting that this individual may not be native to the area being studied.
In summary, “kal009” has a strontium value indicating non-local origin and an f3 statistic around 0.17, suggesting a certain level of genetic relatedness to the Yoruba and Norwegian populations. The red color might indicate a specific subgroup or classification within the data set.
Given this is the data from the same paper and the same research, it can be seen that different(?) algorithms ( Yoruba) are mapping them to different ethnicities. Elusiveness in genetics is another trait I observed when trying to find Ingrian’sDNA. It is like it is there, and it is not there.
One can argue that a pattern of a mysterious nation’s DNA that gets mapped all over the place yet somehow ends up in Osel (Saaremaa) -Salme Vikings genetic maps is a pure coincidence. I think it is key to the new search algorithms; I justdo not know what it is yet, but I theorize that the system will apply to anything ( not just genetics chasing) but a lot of other applied science.
Oh yeah, and as expected, some of them are royal. There are a few more ( 11) of my “grandpas”, one of them is a bishop ( local urm160). The number of Vikings-blooded bishops on my genetic map is interesting. For starters, should they not be monks?
Also, seems all of mine are really into Viking chess. And Thor pedants…
To be Continued.
