Modern humans originated in Africa around 200,000 years ago and today have settled in nearly every corner of earth. During migrations humans became exposed to new pathogens, food sources and have encountered vastly different environments. Natural selection likely contributed to the survival under such diverse conditions by promoting the raise in frequency of advantageous alleles. Thereby natural selection leaves genetic footprints that we can identify. The thesis at hand is about understanding how natural selection has shaped different human populations by analyzing these genetic footprints. In the first study, I infer the evolutionary history of an insertion-substitution variant using present-day human genomic data. This variant is interesting because the ancestral allele encodes a previously unannotated open-reading frame for a gene with antiviral ac- tivity (IFNL4 ), while the derived allele truncates this open-reading frame and is strongly associated with improved clearance of Hepatitis C, a major health care problem. Using an approximate bayesian computation approach I infer a complex evolutionary history, where the derived, truncating allele evolved under weak positive selection in Africa, with selection strength increasing in non-African populations, especially in East Asian popu- lations where the truncating allele is nearly fixed today. Hence, the changes in selection and resulting population differences in allele frequency contribute to the variation in Hep- atitis C clearance observed across human populations today. In the second study, I use ancient human genomes to estimate genome-wide allele frequencies in the past to understand present-day population differentiation. I develop a new statistic and incorporate the genome of Ust’-Ishim, a modern human that lived 45,000 year ago in Siberia, to study to what extent natural selection and drift have contributed to human population differentiation. The results suggest that European populations carry high frequency alleles in protein-coding (genic) regions that evolved under strong, recent positive selection. Further, the genic alleles that rose in frequency recently in Europeans were already present in ancient hunter-gatherers more often than in ancient farmers. This suggests that during the colonization of Europe local, positive selection changed the frequency of advantageous alleles in hunter-gatherer populations prior to the influx of farming individuals and those alleles remained beneficial also in the later admixed populations.

Modern humans originated in Africa around 200,000 years ago and today have settled in nearly every corner of earth. During migrations humans became exposed to new pathogens, food sources and have encountered vastly different environments. Natural selection likely contributed to the survival under such diverse conditions by promoting the raise in frequency of advantageous alleles. Thereby natural selection leaves genetic footprints that we can identify. The thesis at hand is about understanding how natural selection has shaped different human populations by analyzing these genetic footprints. In the first study, I infer the evolutionary history of an insertion-substitution variant using present-day human genomic data. This variant is interesting because the ancestral allele encodes a previously unannotated open-reading frame for a gene with antiviral ac- tivity (IFNL4 ), while the derived allele truncates this open-reading frame and is strongly associated with improved clearance of Hepatitis C, a major health care problem. Using an approximate bayesian computation approach I infer a complex evolutionary history, where the derived, truncating allele evolved under weak positive selection in Africa, with selection strength increasing in non-African populations, especially in East Asian popu- lations where the truncating allele is nearly fixed today. Hence, the changes in selection and resulting population differences in allele frequency contribute to the variation in Hep- atitis C clearance observed across human populations today. In the second study, I use ancient human genomes to estimate genome-wide allele frequencies in the past to understand present-day population differentiation. I develop a new statistic and incorporate the genome of Ust’-Ishim, a modern human that lived 45,000 year ago in Siberia, to study to what extent natural selection and drift have contributed to human population differentiation. The results suggest that European populations carry high frequency alleles in protein-coding (genic) regions that evolved under strong, recent positive selection. Further, the genic alleles that rose in frequency recently in Europeans were already present in ancient hunter-gatherers more often than in ancient farmers. This suggests that during the colonization of Europe local, positive selection changed the frequency of advantageous alleles in hunter-gatherer populations prior to the influx of farming individuals and those alleles remained beneficial also in the later admixed populations.