Grandma plays favourites: X-chromosome relatedness and sex-specific childhood mortality.

Biologists use genetic relatedness between family members to explain the evolution of many behavioural and developmental traits in humans, including altruism, kin investment and longevity. Women's post-menopausal longevity in particular is linked to genetic relatedness between family members. According to the 'grandmother hypothesis', post-menopausal women can increase their genetic contribution to future generations by increasing the survivorship of their grandchildren. While some demographic studies have found evidence for this, others have found little support for it. Here, we re-model the predictions of the grandmother hypothesis by examining the genetic relatedness between grandmothers and grandchildren. We use this new model to re-evaluate the grandmother effect in seven previously studied human populations. Boys and girls differ in the per cent of genes they share with maternal versus paternal grandmothers because of differences in X-chromosome inheritance. Here, we demonstrate a relationship between X-chromosome inheritance and grandchild mortality in the presence of a grandmother. With this sex-specific and X-chromosome approach to interpreting mortality rates, we provide a new perspective on the prevailing theory for the evolution of human female longevity. This approach yields more consistent support for the grandmother hypothesis, and has implications for the study of human evolution.

Intergenerational wealth transmission and the dynamics of inequality in small-scale societies.

Small-scale human societies range from foraging bands with a strong egalitarian ethos to more economically stratified agrarian and pastoral societies. We explain this variation in inequality using a dynamic model in which a population's long-run steady-state level of inequality depends on the extent to which its most important forms of wealth are transmitted within families across generations. We estimate the degree of intergenerational transmission of three different types of wealth (material, embodied, and relational), as well as the extent of wealth inequality in 21 historical and contemporary populations. We show that intergenerational transmission of wealth and wealth inequality are substantial among pastoral and small-scale agricultural societies (on a par with or even exceeding the most unequal modern industrial economies) but are limited among horticultural and foraging peoples (equivalent to the most egalitarian of modern industrial populations). Differences in the technology by which a people derive their livelihood and in the institutions and norms making up the economic system jointly contribute to this pattern.

Intrafamilial resource competition and mate competition shaped social-group-specific natal dispersal in the 18th and 19th century Krummhörn population.

We describe the natal dispersal patterns of the Krummhörn population as the outcome of intrafamilial competition. Depending on the affiliation with a specific social group and the sex of the individual, this competition is driven by different factors and obeys a different functional logic: The dispersal patterns of the daughters of landless workers allow a mate competition scenario to be detected, whereas the dispersal behavior of the children of farmers (especially of the sons) is driven by a resource competition scenario.

Transmission of migration propensity increases genetic divergence between populations.

The advent of molecular genetics has brought invaluable information, which is now routinely used by anthropologists in their attempt to reconstruct our demographic past. Since mitochondrial DNA loci are much more similar between populations than are Y-chromosome loci, it is suggested that women had a much higher migration rate than men throughout history. Based on an examination of intergenerational migration patterns in three large demographic databases, we bring this inference into question. In some early Canadian settlements (St. Lawrence Valley and Saguenay), and in the former Krummhörn region of northwest Germany, men whose fathers were migrants were more likely to migrate, while the migration probability of women was largely independent of that of their mothers. As a result, men's movements were less effective in preventing genetic differentiation between populations than women's movements. In order to account for the impact of transmission, we propose a slight modification of Wright's island model. We also address the relevance of this model at the regional scale, and we discuss the supporting historical and anthropological literature. We conclude that the widespread patrilocal rules of postmarital residence have generated both a higher female migration rate and a patrilineal dependency in the propensity to migrate.

Genome-wide identity-by-descent sharing among CEPH siblings.

The concept of genetic identity-by-descent (IBD) has markedly advanced our understanding of the genetic similarity among relatives and triggered a number of developments in epidemiological genetics. However, no empirical measure of this relatedness throughout the whole human genome has yet been published. Analyzing highly polymorphic genetic variations from the Centre d'études du polymorphisme humain (CEPH) database, we report the first genome-wide estimation of the mean and variation in IBD sharing among siblings. From 1,522 microsatellite markers spaced at an average of 2.3 cM on 498 sibling pairs, we estimated a mean of 0.4994 and a standard deviation of 0.0395. In order to account for the impact of varying chromosomal lengths and recombination rates, the analysis was also performed at the chromosomal and marker levels and for paternal and maternal DNA separately. Based on the variation, we estimate an "effective number of segregating loci" of around 80 for sibling pairs over the whole genome (i.e., the number of loci that would yield the same standard deviation in IBD sharing if all loci were segregating independently). Finally, we briefly assess the impact of genotyping errors on IBD estimations, compare our results to published theoretical and simulated expectations, and discuss some implications of our findings.