The impact of reproduction on gambian women: Does controlling for phenotypic quality reveal costs of reproduction?

Life history theory predicts that where resources are limited, investment in reproduction will cause a decline in body condition and ultimately may lower survival rates. We investigate the relationship between reproduction and mortality in women in rural Gambia. We use a number of different measures of reproductive investment: the timing of reproduction, intensity of reproduction, and cumulative reproductive investment (parity). Though giving birth is clearly a risk factor for increased mortality, we find limited evidence that the timing, intensity, or cumulative effects of reproduction have a survival cost. Instead, there is some evidence that women who have invested heavily in reproduction have higher survival than women with lower reproductive investment: both high parity and late age at last reproduction are associated with high survival. The only evidence for any cost of reproduction is that women who have given birth to twins (considered a marker of heavy investment in reproduction) have higher mortality rates than other women, after the age of 50 years. A potential confounding factor may be differences in health between women: particularly healthy women may be able to invest substantially in both reproduction and their own survival, leading to the positive correlations between survival and both parity and age at last birth we observe. To control for differences in health between women, we reanalyze the relationship between reproduction and mortality but include variables correlating with health in our models (height, BMI, and hemoglobin). Even when controlling for health, the positive correlation between investment in reproduction and survival remains unchanged.     

Impact of Three Years Training on Operations Capacities of Research Ethics Committees in Nigeria

This paper describes a three‐year project designed to build the capacity of members of research ethics committes to perform their roles and responsibilities efficiently and effectively. The project participants were made up of a cross‐section of the membership of 13 Research Ethics Committees (RECs) functioning in Nigeria. They received training to develop their capacity to evaluate research protocols, monitor trial implementation, provide constructive input to trial staff, and assess the trial's success in promoting community engagement in the research. Following the training, technical assistance was provided to participants on an ongoing basis and the project's impacts were assessed quantitatively and qualitatively. Results indicate that sustained investment in capacity building efforts (including training, ongoing technical assistance, and the provision of multiple tools) improved the participants’ knowledge of both the ethical principles relevant to biomedical research and how effective REC should function. Such investment was also shown to have a positive impact on the knowledge levels of other RECs members (those who did not receive training) and the overall operations of the RECs to which the participants belonged. Building the capacity of REC members to fulfill their roles effectively requires sustained effort and investment and pays off by enabling RECs to fulfill their essential mission of ensuring that trials are conducted safely and ethically.     

Whole-mtDNA genome sequence analysis of ancient African lineages

Studies of human mitochondrial (mt) DNA genomes demonstrate that the root of the human phylogenetic tree occurs in Africa. Although 2 mtDNA lineages with an African origin (haplogroups M and N) were the progenitors of all non-African haplogroups, macrohaplogroup L (including haplogroups L0-L6) is limited to sub-Saharan Africa. Several L haplogroup lineages occur most frequently in eastern Africa (e.g., L0a, L0f, L5, and L3g), but some are specific to certain ethnic groups, such as haplogroup lineages L0d and L0k that previously have been found nearly exclusively among southern African "click" speakers. Few studies have included multiple mtDNA genome samples belonging to haplogroups that occur in eastern and southern Africa but are rare or absent elsewhere. This lack of sampling in eastern Africa makes it difficult to infer relationships among mtDNA haplogroups or to examine events that occurred early in human history. We sequenced 62 complete mtDNA genomes of ethnically diverse Tanzanians, southern African Khoisan speakers, and Bakola Pygmies and compared them with a global pool of 226 mtDNA genomes. From these, we infer phylogenetic relationships amongst mtDNA haplogroups and estimate the time to most recent common ancestor (TMRCA) for haplogroup lineages. These data suggest that Tanzanians have high genetic diversity and possess ancient mtDNA haplogroups, some of which are either rare (L0d and L5) or absent (L0f) in other regions of Africa. We propose that a large and diverse human population has persisted in eastern Africa and that eastern Africa may have been an ancient source of dispersion of modern humans both within and outside of Africa.     

Ancient mtDNA haplogroups: a new insight into the genetic history of European populations

In the present work, DNA was extracted from 63 skeletal samples recovered at the Neolithic site of San Juan ante Portam Latinam (SJAPL) (Araba, Basque Country). These samples have proved useful as genetic material for the performance of population studies. To achieve this it was necessary to overcome the methodological problems arising when working with damaged DNA molecules. We succeeded in performing an amplification and restriction analysis of the polymorphisms present in the mtDNA. Ninety seven percent of the samples were classified as belonging to one of the nine mtDNA haplogroups described in Caucasians. This work shows that restriction analysis is a useful methodological tool to perform reliable population genetic analysis on archaeological remains. Tha analysis of ancient and modern haplogroup distribution can shed more light on the genetic evolution of human populations. Moreover, a more exhaustive data on prehistoric populations will allow to build stronger hypothesis on the genetic relationships among human populations.