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Nat Commun ; 10(1): 3043, 2019 07 10.
Artigo em Inglês | MEDLINE | ID: mdl-31292440


There are established associations between advanced paternal age and offspring risk for psychiatric and developmental disorders. These are commonly attributed to genetic mutations, especially de novo single nucleotide variants (dnSNVs), that accumulate with increasing paternal age. However, the actual magnitude of risk from such mutations in the male germline is unknown. Quantifying this risk would clarify the clinical significance of delayed paternity. Using parent-child trio whole-exome-sequencing data, we estimate the relationship between paternal-age-related dnSNVs and risk for five disorders: autism spectrum disorder (ASD), congenital heart disease, neurodevelopmental disorders with epilepsy, intellectual disability and schizophrenia (SCZ). Using Danish registry data, we investigate whether epidemiologic associations between each disorder and older fatherhood are consistent with the estimated role of dnSNVs. We find that paternal-age-related dnSNVs confer a small amount of risk for these disorders. For ASD and SCZ, epidemiologic associations with delayed paternity reflect factors that may not increase with age.

Testes Genéticos , Modelos Genéticos , Idade Paterna , Adulto , Fatores Etários , Transtorno do Espectro Autista/epidemiologia , Transtorno do Espectro Autista/genética , Criança , Dinamarca/epidemiologia , Epilepsia/epidemiologia , Epilepsia/genética , Feminino , Cardiopatias Congênitas/epidemiologia , Cardiopatias Congênitas/genética , Humanos , Incidência , Deficiência Intelectual/epidemiologia , Deficiência Intelectual/genética , Masculino , Pessoa de Meia-Idade , Mutação , Polimorfismo de Nucleotídeo Único , Prevalência , Sistema de Registros/estatística & dados numéricos , Medição de Risco/métodos , Esquizofrenia/epidemiologia , Esquizofrenia/genética , Sequenciamento Completo do Exoma
Elife ; 82019 03 21.
Artigo em Inglês | MEDLINE | ID: mdl-30895926


Genetic predictions of height differ among human populations and these differences have been interpreted as evidence of polygenic adaptation. These differences were first detected using SNPs genome-wide significantly associated with height, and shown to grow stronger when large numbers of sub-significant SNPs were included, leading to excitement about the prospect of analyzing large fractions of the genome to detect polygenic adaptation for multiple traits. Previous studies of height have been based on SNP effect size measurements in the GIANT Consortium meta-analysis. Here we repeat the analyses in the UK Biobank, a much more homogeneously designed study. We show that polygenic adaptation signals based on large numbers of SNPs below genome-wide significance are extremely sensitive to biases due to uncorrected population stratification. More generally, our results imply that typical constructions of polygenic scores are sensitive to population stratification and that population-level differences should be interpreted with caution. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter).

Genome Biol ; 19(1): 173, 2018 10 25.
Artigo em Inglês | MEDLINE | ID: mdl-30359302


Functional characterization of the noncoding genome is essential for biological understanding of gene regulation and disease. Here, we introduce the computational framework PINES (Phenotype-Informed Noncoding Element Scoring), which predicts the functional impact of noncoding variants by integrating epigenetic annotations in a phenotype-dependent manner. PINES enables analyses to be customized towards genomic annotations from cell types of the highest relevance given the phenotype of interest. We illustrate that PINES identifies functional noncoding variation more accurately than methods that do not use phenotype-weighted knowledge, while at the same time being flexible and easy to use via a dedicated web portal.

Nat Neurosci ; 19(12): 1563-1565, 2016 12.
Artigo em Inglês | MEDLINE | ID: mdl-27694993


Disruptive, damaging ultra-rare variants in highly constrained genes are enriched in individuals with neurodevelopmental disorders. In the general population, this class of variants was associated with a decrease in years of education (YOE). This effect was stronger among highly brain-expressed genes and explained more YOE variance than pathogenic copy number variation but less than common variants. Disruptive, damaging ultra-rare variants in highly constrained genes influence the determinants of YOE in the general population.

Variações do Número de Cópias de DNA/genética , Predisposição Genética para Doença , Mutação/genética , Transtornos do Neurodesenvolvimento/genética , Educação , Humanos , Análise e Desempenho de Tarefas