Commentary on Sokal, Oden, and Thomson's "a problem with synthetic maps" (1999).

The demographic impact of the origin of agriculture in Europe has been a long-standing area of interest and controversy in human genetics. For contemporary students of human population genetics, reviewing past work on this question can serve as a wonderful case study that illuminates different approaches that one can take to study historical processes by using genetics and can highlight the inherent challenges. One chapter in that history involves Robert Sokal’s contributions, including his critique of synthetic maps. Robert Sokal became keenly interested in this question, as well as other potential factors structuring genetic diversity in Europe, and he worked with great rigor and insight. His work spanned genetics (e.g., Sokal et al. 1991), linguistics (e.g., Sokal et al. 1990), and also included the analysis of a large-scale ethnohistorical database that he created (e.g., Sokal et al. 1991). Whereas most of his work on European human genetic diversity took place in the late 1980s and early 1990s, in 1999 he published a short piece in Human Biology revisiting and critiquing the analysis of synthetic maps (maps based on principal components analysis, PCA) that Cavalli-Sforza and his colleagues started using in the late 1970s (Cavalli-Sforza et al. 1994; Menozzi et al. 1978; Piazza et al. 1991). This made for a lively exchange in the pages of Human Biology. The original piece (Sokal et al. 1999a) was published with a response from Cavalli-Sforza’s group (Rendine et al. 1999), and later in the same year Sokal published a letter critiquing the Rendine et al. (1999) response (Sokal et al. 1999b). Previous to the 1999 exchange, both Sokal and Cavalli-Sforza’s groups had, in separate papers, agreed that population genetic data from Europe support the existence of clinal patterns in allele frequencies that align with the expansion of agriculture, and that such clinal patterns support the demic diffusion hypothesis. Cavalli-Sforza’s group argued this point most strongly by using synthetic maps, showing that in their data the PC1 map in Europe has a northwest/southeast gradient that mirrors the expansion of agriculture (e.g., Menozzi et al. 1978). In contrast, Sokal’s group used an analysis based on distance metrics (Sokal et al. 1991). Specifically, they assessed how genetic distances correlate with the timing of the origin-of-agriculture and found a correlation, even after accounting for the partial correlation due to geographic distance. So, whereas both groups