Association of the rs4988235(C) Polymorphism, a Determinant of Lactose Intolerance, with Genetic Ancestry in Latin American Populations; Asociación del polimorfismo rs4988235(c), determinante de intolerancia a la lactosa, y la ancestría genética en poblaciones latinoamericanas
Keywords: European Ancestry; Genetic Ancestry; Lactose Intolerance; Latin American Populations; Native, American Ancestry; rs4988235 Polymorphism
Abstract
Introduction: the rs4988235(C) polymorphism is associated with lactose intolerance and exhibits heterogeneity among populations. In Europe, the T allele (lactose tolerance) is prevalent in the north, while the C allele (lactose intolerance) is common in Asia and Africa. Methods: genotypes for rs4988235 were obtained from the 1000 Genomes Project database, selecting Latin American samples (Colombians, Mexican Americans, Peruvians, and Puerto Ricans). A total of 446 ancestry-informative markers (AIMs) were used to estimate genetic ancestry proportions. Shapiro-Wilks tests were conducted, and due to non-normality, non-parametric Kruskal-Wallis and post hoc Wilcoxon tests were applied. Results: the Shapiro-Wilks test indicated significant deviations from normality for Native-American (statistic=0,8787, p<0,05) and European ancestry proportions (statistic=0,9653, p<0,05). Kruskal-Wallis analysis showed significant differences in European (statistic=26,6696, p=1,62Ã10â6) and Native-American (statistic=13,4306, p=0,0012) ancestry proportions among genotypes. Post hoc Wilcoxon tests indicated significant differences between Intolerant (GG) and Heterozygous (GA) genotypes for both ancestries. Conclusions: the proportions of European and Native-American ancestry vary among genotypes of the rs4988235(C) polymorphism, suggesting the effect of admixture on the distribution of lactose intolerance in Latin American populations.
Más información
| Título según SCOPUS: | Association of the rs4988235(C) Polymorphism, a Determinant of Lactose Intolerance, with Genetic Ancestry in Latin American Populations |
| Título de la Revista: | Data and Metadata |
| Volumen: | 3 |
| Editorial: | Editorial Salud, Ciencia y Tecnologia |
| Fecha de publicación: | 2024 |
| Idioma: | English |
| DOI: |
10.56294/dm2024.354 |
| Notas: | SCOPUS |