| Texto completo | |
| Autor(es): |
Meyer, Diogo
[1]
;
Aguiar, Vitor R. C.
[1]
;
Bitarello, Barbara D.
[1, 2]
;
Brandt, Debora Y. C.
[1, 3]
;
Nunes, Kelly
[1]
Número total de Autores: 5
|
| Afiliação do(s) autor(es): | [1] Univ Sao Paulo, Dept Genet & Evolutionary Biol, BR-05508090 Sao Paulo, SP - Brazil
[2] Max Planck Inst Evolutionary Anthropol, Dept Evolutionary Genet, Leipzig - Germany
[3] Univ Calif Berkeley, Dept Integrat Biol, Berkeley, CA 94720 - USA
Número total de Afiliações: 3
|
| Tipo de documento: | Artigo de Revisão |
| Fonte: | IMMUNOGENETICS; v. 70, n. 1, p. 5-27, JAN 2018. |
| Citações Web of Science: | 24 |
| Resumo | |
Several decades of research have convincingly shown that classical human leukocyte antigen (HLA) loci bear signatures of natural selection. Despite this conclusion, many questions remain regarding the type of selective regime acting on these loci, the time frame at which selection acts, and the functional connections between genetic variability and natural selection. In this review, we argue that genomic datasets, in particular those generated by next-generation sequencing (NGS) at the population scale, are transforming our understanding of HLA evolution. We show that genomewide data can be used to perform robust and powerful tests for selection, capable of identifying both positive and balancing selection at HLA genes. Importantly, these tests have shown that natural selection can be identified at both recent and ancient timescales. We discuss how findings from genomewide association studies impact the evolutionary study of HLA genes, and how genomic data can be used to survey adaptive change involving interaction at multiple loci. We discuss the methodological developments which are necessary to correctly interpret genomic analyses involving the HLA region. These developments include adapting the NGS analysis framework so as to deal with the highly polymorphic HLA data, as well as developing tools and theory to search for signatures of selection, quantify differentiation, and measure admixture within the HLA region. Finally, we show that high throughput analysis of molecular phenotypes for HLA genes-namely transcription levels-is now a feasible approach and can add another dimension to the study of genetic variation. (AU) | |
| Processo FAPESP: | 12/18010-0 - Seleção balanceadora no genoma humano: detecção, causas e consequências |
| Beneficiário: | Diogo Meyer |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 11/12500-2 - Má-adaptação como subproduto da adaptação: um estudo em escala genômica |
| Beneficiário: | Bárbara Domingues Bitarello |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 14/12123-2 - Expressão e mapeamento de eQTLs em genes HLA: análises baseadas em ensaios de RNAseq de larga escala |
| Beneficiário: | Vitor Rezende da Costa Aguiar |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |
| Processo FAPESP: | 12/22796-9 - Diferenciação populacional em genes sob forte seleção balanceadora: um estudo de caso com genes HLA |
| Beneficiário: | Débora Yoshihara Caldeira Brandt |
| Modalidade de apoio: | Bolsas no Brasil - Mestrado |
| Processo FAPESP: | 12/09950-9 - Evolução de genes HLA: diferenciação populacional e sinais de seleção recente em populações nativas e miscigenadas do Brasil |
| Beneficiário: | Kelly Nunes |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |