The complex demographic changes that underlie the expansion of anatomically modern humans out of Africa have important consequences on the dynamics of natural selection and our ability to detect it. In this thesis, I aimed to refine our knowledge on human population history using ancient genomes, and then used a climate-informed, spatially explicit framework to explore the interplay between complex demographies and selection. I first analysed a high-coverage genome from Upper Palaeolithic Romania from ~37.8 kya, and demonstrated an early diversification of multiple lineages shortly after the out-of-Africa expansion (Chapter 2). I then investigated Late Upper Palaeolithic (~13.3ky old) and Mesolithic (~9.7 ky old) samples from the Caucasus and a Late Upper Palaeolithic (~13.7ky old) sample from Western Europe, and found that these two groups belong to distinct lineages that also diverged shortly after the out of Africa, ~45-60 ky ago (Chapter 3). Finally, I used East Asian samples from ~7.7ky ago to show that there has been a greater degree of genetic continuity in this region compared to Europe (Chapter 4). In the second part of my thesis, I used a climate-informed, spatially explicit demographic model that captures the out-of-Africa expansion to explore natural selection. I first investigated whether the model can represent the confounding effect of demography on selection statistics, when applied to neutral part of the genome (Chapter 5). Whilst the overlap between different selection statistics was somewhat underestimated by the model, the relationship between signals from different populations is generally well-captured. I then modelled natural selection in the same framework and investigated the spatial distribution of two genetic variants associated with a protective effect against malaria, sickle-cell anaemia and β⁰ thalassemia (Chapter 6). I found that although this model can reproduce the disjoint ranges of different variants typical of the former, it is incompatible with overlapping distributions characteristic of the latter. Furthermore, our model is compatible with the inferred single origin of sickle-cell disease in most regions, but it can not reproduce the presence of this disorder in India without long-distance migrations.

Il existe une grande variabilité dans la réponse aux chimiothérapies anticancéreuses. Ses sources sont diverses: génétiques, physiologiques, comorbidités, médicaments associés, etc. La marge thérapeutique de ces médicaments étant généralement étroite, une telle variabilité peut avoir de graves conséquences: toxicités graves ou absence d'effet thérapeutique. Plusieurs approches pour adapter individuellement les posologies ont été proposées: a priori (basées sur l'information génétique, la taille corporelle, les fonctions d'élimination, etc.) et a posteriori (sur les informations de mesures d'exposition au médicament et/ou effets). La modélisation à effets-mixtes de la pharmacocinétique et de la pharmacodynamie (PK-PD), combinée avec une estimation bayésienne des effets individuels, est la meilleure méthode pour individualiser des schémas posologiques a posteriori. Dans cette thèse, une nouvelle approche pour ajuster les doses sur la base des prédictions données par un modèle pour les observations catégorielles de toxicité a été développée et explorée par simulation. Les aspects plus techniques concernant l'estimation des paramètres individuels ont été analysés pour déterminer les facteurs de bonne performance de la méthode. Ces travaux étaient basés sur l'exemple du syndrome mains-pieds induit par la capécitabine dans le traitement du cancer colorectal. Une revue des modèles pharmacodynamiques de données discrètes (catégorielles, de comptage, de survie) a été effectuée. Enfin, des analyses PK-PD de l'hydroxyurée dans le traitement de la drépanocytose ont été réalisées pour comparer des différentes posologies et déterminer les modalités optimales de suivi du traitement / There is high variability in response to cancer chemotherapies among patients. Its sources are diverse: genetic, physiologic, comorbidities, concomitant medications, environment, compliance, etc. As the therapeutic window of anticancer drugs is usually narrow, such variability may have serious consequences: severe (even life-threatening) toxicities or lack of therapeutic effect. Therefore, various approaches to individually tailor treatments and dosing regimens have been developed: a priori (based on genetic information, body size, drug elimination functions, etc.) and a posteriori (that is using information of measurements of drug exposure and/or effects). Mixed-effects modelling of pharmacokinetics and pharmacodynamics (PK-PD), combined with Bayesian maximum a posteriori probability estimation of individual effects, is the method of choice for a posteriori adjustments of dosing regimens. In this thesis, a novel approach to adjust the doses on the basis of predictions, given by a model for ordered categorical observations of toxicity, was developed and investigated by computer simulations. More technical aspects concerning the estimation of individual parameters were analysed to determine the factors of good performance of the method. These works were based on the example of capecitabine-induced hand-and-foot syndrome in the treatment of colorectal cancer. Moreover, a review of pharmacodynamic models for discrete data (categorical, count, time-to-event) was performed. Finally, PK-PD analyses of hydroxyurea in the treatment of sickle cell anemia were performed and used to compare different dosing regimens and determine the optimal measures for monitoring the treatment

Os eicosanoides, produtos do metabolismo do ácido araquidônico, apresentam papel importante na homeostasia e na patogênese de diversas doenças humanas. A biossíntese desses compostos pode ser estimulada por agentes farmacológicos como ionóforos e inibidores da Ca2+-ATPase, e também por agonistas naturais como o formil-metionil-leucil-fenialanina (fMLP). Considerando os interesses em avaliar e comparar o perfil de mediadores lipídicos, como os leucotrienos (LTs), as prostaglandinas (PGs), os ácidos epoxieicosatrienoicos (EETs), os ácidos dihidroxitetraenoicos (DiHETEs) e os ácidos hidroxieicosatetraenoicos (HETEs), na saúde e na doença, o objetivo deste trabalho foi padronizar um método analítico para determinar do perfil de eicosanoides em plasma humano após estimulação do sangue total, e assim observar diferenças entre indivíduos saudáveis e doentes. Dessa forma, um método por cromatografia líquida de alta eficiência acoplada à espectrometria de massas sequencial (HPLC-MS/MS) foi validado para quantificação de 22 eicosanoides em plasma de indivíduos saudáveis. A análise por HPLCMS/ MS foi realizada em modo negativo pelo modo de varredura por monitoramento de reações múltiplas (MRM). A linearidade do método apresentou coeficiente de correlação (r) maior que 0,98 para todos os eicosanoides analisados. A precisão e exatidão intra e inter-ensaios tiveram desvio padrão e erro relativo menores que 15%, exceto para o limite inferior de quantificação cujos valores foram menores que 20%. Para estimulação das células do sangue total, quatro estímulos (fMLP, ionomicina, A23187 e tapsigargina) foram utilizados. A análise estatística mostrou que o A23187 e a tapsigargina foram os estímulos mais potentes na indução da produção de eicosanoides. Em seguida, comparamos o perfil de eicosanoides em amostras de plasma de indivíduos saudáveis com pacientes com anemia falciforme (AF), em tratamento com hidroxiureia (HU) ou transfusão sanguínea crônica. Os resultados demonstraram que o método é preciso para determinação de diferenças entre os pacientes e indivíduos saudáveis quanto à produção dos mediadores lipídicos 5-HETE, 12-HETE, LTB4, LTE4, TXB2 e PGE2. Portanto, nosso método analítico é sensível, específico e reprodutível para identificar e quantificar diferenças no perfil de eicosanoides em amostras de sangue estimuladas in vitro, e poderá contribuir para o estabelecimento do perfil de mediadores lipídicos em diferentes doenças inflamatórias e infecciosas. / Eicosanoids, products from arachidonic acid metabolism, play an important role in the homeostasis and in the pathogenesis of various human diseases. Pharmacological agents such as Ca2+ ionophores and Ca2+-ATPase inhibitors, as well as natural agonists such as fMet-leu-Phe (fMLP) can stimulate eicosanoid biosynthesis. Considering the interests in evaluate and compare the profile of lipid mediators, as leukotriens (LTs), prostaglandins (PGs), epoxyeicosatrienoic acids (EETs), dihydroxytetraenoic acids (DiHETEs) and hydroxyeicosatetraenoic acids (HETEs), in healthy and disease, the aim of this work was to standardize a method to determine the eicosanoid profile of human plasma samples after whole blood stimulation, and to assess differences between healthy and sick individuals. For this purpose, a liquid chromatographytandem mass spectrometry (LC-MS/MS) method was validated for the quantification of 22 eicosanoids using human plasma from healthy volunteers. In addition, we optimized a method for the stimulation of eicosanoids in human whole blood. LC-MS/MS analyses were performed by negative electrospray ionization and multiple reaction monitoring. An assumption of linearity resulted in a regression coefficient > 0.98 for all eicosanoids tested. The mean intra-assay and inter-assay accuracy and precision values had relative standard deviations and relative errors of < 15%, except for the lower limit of quantification, where these values were < 20%. For whole blood stimulation, four stimuli (fMLP, ionomycin, A23187, and thapsigargin) were used. Results of the statistical analysis showed that A23187 and thapsigargin were potent stimuli to induce the production of eicosanoids. We next compared the eicosanoid profiles of healthy volunteers to those of patients with sickle cell anemia (SCA) under treatment with hydroxyurea (HU) or after chronic red blood cell (RBC) transfusion. The results indicate that the method was sufficient to find a difference between lipid mediators released in whole blood of SCA patients compared to healthy subjects for 5-HETE, 12-HETE, LTB4, LTE4, TXB2, and PGE2. In conclusion, our analytical method is sensitive, specific and reproducible for indentify and quantify changes in eicosanoid profiles in whole blood stimulated in vitro, which can contribute to establishing the eicosanoid profiles associated with different inflammatory and infectious diseases.

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