R1b-rich earliest Corded Ware, a Yamnaya-related vector of Indo-European languages


New open source paper, Dynamic changes in genomic and social structures in third millennium BCE central Europe, by Papac et al., Science Advances (2021).

Interesting excerpts (emphasis mine):

We report genomic data from the earliest CW individuals to date [show] that CW was widespread across Bohemia by 2900 BCE. The early radiocarbon dates are also supported by these individuals’ genetic profiles, who occupy the most extreme positions on PC2, as expected under a scenario of the earliest CW being migrants from the east who mixed with locals, resulting in intermediate PC2 positions in later generations.

(…)We found poor statistical

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Longobards from Scandinavia, and the “Ural-Altaic” Árpád lineage


The Family Tree DNA R&D team formed by Göran Runfeldt and Michael Sager has reported detailed Y-SNPs of sampled Longobards from the open access paper Understanding 6th-century barbarian social organization and migration through paleogenomics, by Amorim et al. Nat. Commun. (2020). From the abstract:

We obtained ancient genomic DNA from 63 samples from two cemeteries (from Hungary and Northern Italy) that have been previously associated with the Longobards, a barbarian people that ruled large parts of Italy for over 200 years after invading from Pannonia in 568 CE. Our dense cemetery-based sampling revealed that each cemetery was primarily organized

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“Local” Tollense Valley warriors linked to Germanic peoples


Recently published paper Genomic Data from an Ancient European Battlefield Indicates On-Going Strong Selection on a Genomic Region Associated with Lactase Persistence Over the Last 3,000 Years, by Burger et al., submitted to Current Biology, available at CellPress SneakPeek.

Interesting excerpts (emphasis mine):

Tollense sample shows no structure

Multiple lines of evidence point to little or no genetic structure in the population from which the Tollense individuals were sampled. First, all individuals fall within the range of Central and northern European variation when projected onto a principle component analysis (PCA) trained on modern samples and their spread matches that

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