Proceedings of the National Academy of Sciences of the United States of America · 2025
De novo rates of a Trypanosoma-resistant mutation in two human populations.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Melamed Daniel, Shemer Revital, Bolotin Evgeni, Yakass Michael B, Fink-Barkai Dorit, Hiadzi Edem K, Skorecki Karl L, Livnat Adi
Аннотация
Mutation rates have long been measured as averages across many genomic positions. Recently, a method to measure the rates of individual mutations was applied to a narrow region in the human hemoglobin subunit beta (HBB) gene containing the site of the hemoglobin S (HbS) mutation as well as to a paralogous hemoglobin subunit delta (HBD) region, in sperm samples from sub-Saharan African and northern European donors [Melamed et al., Genome Res. 32, 488-498 (2022)]. The HbS mutation, which protects against malaria while causing sickle-cell anemia in homozygotes, originated de novo significantly more frequently in the HBB gene in Africans compared to the other three test cases combined (the European HBB gene and the European and African HBD gene). Here, we apply this approach to the human apolipoprotein L1 (APOL1) gene containing the site of the G1 1024A→G mutation, which protects against African sleeping sickness caused by Trypanosoma brucei gambiense while causing a substantially increased risk of chronic kidney disease in homozygotes. We find that the 1024A→G mutation is the mutation of highest de novo origination rate and deviates most from the genome-wide average rate for its type (A→G) compared to all other observable mutations in the region and that it originates de novo significantly more frequently in Africans than in Europeans-i.e., in the population where it is of adaptive significance. The results are unexpected given the notion that the probability of a specific mutational event is independent of its value to the organism and underscore the importance of studying mutation rates at the individual-mutation resolution.