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1.
Mol Cell ; 79(4): 689-701.e10, 2020 08 20.
Artigo em Inglês | MEDLINE | ID: mdl-32610038

RESUMO

Meiotic recombination proceeds via binding of RPA, RAD51, and DMC1 to single-stranded DNA (ssDNA) substrates created after formation of programmed DNA double-strand breaks. Here we report high-resolution in vivo maps of RPA and RAD51 in meiosis, mapping their binding locations and lifespans to individual homologous chromosomes using a genetically engineered hybrid mouse. Together with high-resolution microscopy and DMC1 binding maps, we show that DMC1 and RAD51 have distinct spatial localization on ssDNA: DMC1 binds near the break site, and RAD51 binds away from it. We characterize inter-homolog recombination intermediates bound by RPA in vivo, with properties expected for the critical displacement loop (D-loop) intermediates. These data support the hypothesis that DMC1, not RAD51, performs strand exchange in mammalian meiosis. RPA-bound D-loops can be resolved as crossovers or non-crossovers, but crossover-destined D-loops may have longer lifespans. D-loops resemble crossover gene conversions in size, but their extent is similar in both repair pathways.


Assuntos
Proteínas de Ciclo Celular/metabolismo , Recombinação Homóloga , Meiose , Proteínas de Ligação a Fosfato/metabolismo , Rad51 Recombinase/metabolismo , Proteína de Replicação A/metabolismo , Animais , Proteínas de Ciclo Celular/genética , Cromossomos/genética , Cromossomos/metabolismo , Troca Genética , DNA de Cadeia Simples/metabolismo , Genoma , Masculino , Camundongos Endogâmicos C57BL , Camundongos Endogâmicos DBA , Proteínas de Ligação a Fosfato/genética , Rad51 Recombinase/genética , Proteína de Replicação A/genética , Testículo
2.
Nature ; 562(7726): 203-209, 2018 10.
Artigo em Inglês | MEDLINE | ID: mdl-30305743

RESUMO

The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each participant, including biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follow-up information is provided by linking health and medical records. Genome-wide genotype data have been collected on all participants, providing many opportunities for the discovery of new genetic associations and the genetic bases of complex traits. Here we describe the centralized analysis of the genetic data, including genotype quality, properties of population structure and relatedness of the genetic data, and efficient phasing and genotype imputation that increases the number of testable variants to around 96 million. Classical allelic variation at 11 human leukocyte antigen genes was imputed, resulting in the recovery of signals with known associations between human leukocyte antigen alleles and many diseases.


Assuntos
Bases de Dados Factuais , Genômica , Fenótipo , Adulto , Idoso , Alelos , Biomarcadores/sangue , Biomarcadores/urina , Estatura/genética , Encéfalo/diagnóstico por imagem , Estudos de Coortes , Bases de Dados Genéticas , Registros Eletrônicos de Saúde , Família , Feminino , Estudo de Associação Genômica Ampla , Haplótipos/genética , Humanos , Estilo de Vida , Complexo Principal de Histocompatibilidade/genética , Masculino , Pessoa de Meia-Idade , Controle de Qualidade , Grupos Raciais/genética , Reino Unido
3.
Science ; 381(6664): eadg7492, 2023 09 22.
Artigo em Inglês | MEDLINE | ID: mdl-37733863

RESUMO

The vast majority of missense variants observed in the human genome are of unknown clinical significance. We present AlphaMissense, an adaptation of AlphaFold fine-tuned on human and primate variant population frequency databases to predict missense variant pathogenicity. By combining structural context and evolutionary conservation, our model achieves state-of-the-art results across a wide range of genetic and experimental benchmarks, all without explicitly training on such data. The average pathogenicity score of genes is also predictive for their cell essentiality, capable of identifying short essential genes that existing statistical approaches are underpowered to detect. As a resource to the community, we provide a database of predictions for all possible human single amino acid substitutions and classify 89% of missense variants as either likely benign or likely pathogenic.


Assuntos
Substituição de Aminoácidos , Doença , Mutação de Sentido Incorreto , Proteoma , Alinhamento de Sequência , Humanos , Substituição de Aminoácidos/genética , Benchmarking , Sequência Conservada , Bases de Dados Genéticas , Doença/genética , Genoma Humano , Conformação Proteica , Proteoma/genética , Alinhamento de Sequência/métodos , Aprendizado de Máquina
4.
Nat Commun ; 10(1): 551, 2019 02 01.
Artigo em Inglês | MEDLINE | ID: mdl-30710075

RESUMO

The Iberian Peninsula is linguistically diverse and has a complex demographic history, including a centuries-long period of Muslim rule. Here, we study the fine-scale genetic structure of its population, and the genetic impacts of historical events, leveraging powerful, haplotype-based statistical methods to analyse 1413 individuals from across Spain. We detect extensive fine-scale population structure at extremely fine scales (below 10 Km) in some regions, including Galicia. We identify a major east-west axis of genetic differentiation, and evidence of historical north to south population movement. We find regionally varying fractions of north-west African ancestry (0-11%) in modern-day Iberians, related to an admixture event involving European-like and north-west African-like source populations. We date this event to 860-1120 CE, implying greater genetic impacts in the early half of Muslim rule in Iberia. Together, our results indicate clear genetic impacts of population movements associated with both the Muslim conquest and the subsequent Reconquista.


Assuntos
Genética Populacional , Migração Humana , Análise por Conglomerados , Geografia , Humanos , Filogenia , Espanha
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