Gender archaeology approaches to Iberian late prehistory have experienced a significant growth in the last two decades. However, much of the work undertaken has focused on specific aspects of the archaeological record (rock art, burial practices), particularly from the Bronze Age and Iron Age periods for which the evidence is more readily available. In addition, it has tended to be regional or local in scope. Here, we attempt an empirically robust multi-proxy approach to the development of early gender inequalities in Neolithic Iberia. Inspired by Gerda Lerner's ideas on the origins of patriarchy and based on a systematic collection of data analysed by means of significance testing, we present the first comprehensive study of gender dissymmetries in Iberian prehistory. Our conclusions suggest that, first, the multi-proxy method used has potential for the systematic study of gender inequalities on the basis of archaeological data and, second, that the Neolithic witnessed emerging gender inequalities that set the basis for male domination in later periods.

With the dramatic technological developments of genome-wide association single-nucleotide polymorphism (SNP) chips and next generation sequencing, human geneticists now have the ability to assay genetic variation at ever-rarer allele frequencies. To fully understand the impact of these rare variants on common, complex diseases, we must be able to accurately assess their statistical significance. However, it is well established that classical association tests are not appropriate for the analysis of low-frequency variation, giving spurious findings when observed counts are too few. To further our understanding of the asymptotic properties of traditional association tests, we conducted a range of simulations of a typical rare variant (~1%) under the null hypothesis and tested the allelic χ2, Cochran–Armitage trend, Wald, and Fisher's exact tests. We demonstrate that rare variation shows marked deviation from the expected distributional behavior for each test, with fewer minor alleles corresponding to a greater degree of test statistics deflation. The effect becomes more pronounced at progressively smaller α levels. We also show that the Wald test is particularly deflated at α levels consistent with genome-wide association significance, much more so than the other association tests considered. In general, these classical association tests are inappropriate for the analysis of variants for which the minor allele is observed fewer than 80 times, largely irrespective of sample size.