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This website will probably be in progress for a long period. I created it in 2021 and reported the website in 2022. It is a continuation of analysing public data, and trying to accept and reject scenarios on human population. My first analysis was on the subject op genetic variation in the Benelux (and an ealy look at European settlements) in 2012. It became clear that the continuous population growth was insufficient to explain the Y-DNA patterns. I expect that the knowledge on human migrations and population estimates will further improve in the next ten years.
Most results on these pages are the result of analysing data of the public website of yfull.com.
Some ideas to improve the website:
- When the diagrams of 61 years are made, the positions adds up to many dots at one location. It would be nice if a density spread would be shown. This is possible if two levels are shown: a background level of the total density of all samples and a density of the specific branch.
- The same is the case for earlier time if the density of the dots is very high. This is e.g. for R1b in Europe or in areas were many people live with limited resolution in the area.
- A density could be made if the surface of a province is known.
- The interpolation could be improved. The migration in recent times is larger than in old times. Several options are available to improve this. We could give a weight that is inversely proportional to the time difference. Another option is to set a maximum impact of a sample (a sample that arrived in Europe 1500ybp, and hase several samples on a parallel line in the middle east, may have arrived in Roman time, and the origin should be influenced as large by this European line. Another option may be to indicate samples or nodes by hand that should not impact the older line. This could be a reported manual list of samples. Another option is position samples on location because of historic information, e.g. the ancestor of the migration of the Bering Strait; it did not pass the ocean in a direct line.
I thank people who made to this site possible, and those who suggested improvements. For the data i made use of yfull.com. I used routines in R for calculations and diagrams. The location of provinces was supplied by Hunter Provyn, which he also used on his Phylogeographer website.
Let me know if you dispute my conclusions, or you miss some useful information.
Pagelist has an index of the pages of this website.
Wim Penninx
wimpenninx(at)hotmail.com
Some nice websites
Some recent examples of strong population jumps
- Growth of the Argyn tribe: yfull ancestor: Balanovsky O, Zhabagin M, Agdzhoyan A, Chukhryaeva M, Zaporozhchenko V, Utevska O, Highnam G, Sabitov Z, Greenspan E, Dibirova K, Skhalyakho R, Kuznetsova M, Koshel S, Yusupov Y, Nymadawa P, Zhumadilov Z, Pocheshkhova E, Haber M, Zalloua PA, Yepiskoposyan L, Dybo A, Tyler-Smith C, Balanovska E. Deep phylogenetic analysis of haplogroup G1 provides estimates of SNP and STR mutation rates on the human Y-chromosome and reveals migrations of Iranic speakers. PLoS One. 2015 Apr 7;10(4):e0122968.
- Growth of the Yakuta tribe: yfull ancestor: Fedorova, S.A., Khusnutdinova, E.K. Genetic Structure and Genetic History of the Sakha (Yakuts) Population. Russ J Genet 58, 1409-1426 (2022).
- Growth of Carthage and Numidian elite
- Growth of Ashkenazi city population in the Polish Lithuanian Commonwealth
- Growth of Graham clan: 1 to 400.000 give an average population growth of 1.54 in 30 years (1 generation) in 900 years.