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Showing 1 to 12 of 12 for “"Polygenic scores"”.

  1. Genome-wide polygenic scores, executive function, and attention-deficit/hyperactivity disorder in youth

    … was to clarify associations among genome-wide polygenic scores, executive functions, and ADHD in a subsample of 4,226 youth to determine whether executive dysfunctions mediate the relationship between cumulative genetic risk and a dimensional trait measure of ADHD. Polygenic scores derived from …

    uiuc Repository record for Genome-wide polygenic scores, executive function, and attention-deficit/hyperactivity disorder in youth (opens in a new tab)

  2. Tempering the Ambition of Social Science Genomics: Causation, Explanation, and Evidence for Policy

    … and related tools (particularly the so-called polygenic scores) within psychology, sociology, economics, and evidence-based social policy. I propose that the anticipated epistemic and non-epistemic payoffs from this type of integration can be understood in terms of two overarching promises or …

    cambridge Repository record for Tempering the Ambition of Social Science Genomics: Causation, Explanation, and Evidence for Policy (opens in a new tab)

  3. DISSECTING THE POLYGENIC LANDSCAPE OF HUMAN COMPLEX TRAITS AND DISEASES IN A SOUTHERN ITALIAN COHORT

    … locus. We then assessed the transferability of polygenic scores derived from Northern European datasets to the Italian context, finding that predictive accuracy was reduced for several traits. However, incorporating variants specific to the Italian population improved performance in some cases, …

    milano Repository record for DISSECTING THE POLYGENIC LANDSCAPE OF HUMAN COMPLEX TRAITS AND DISEASES IN A SOUTHERN ITALIAN COHORT (opens in a new tab)

  4. A multi-ancestry genetic analysis of type 2 diabetes

    … genetic analysis of T2D to date. Here, I apply polygenic scores derived from variant clusters reflecting distinct cardiometabolic processes to predict T2D-related clinical outcomes in the AoURP. In addition to reporting novel locus discoveries from this substantially larger dataset, I highlight …

    cambridge Repository record for A multi-ancestry genetic analysis of type 2 diabetes (opens in a new tab)

  5. Tracing causes and consequences of human intelligence through genetic and cognitive data

    … parental influence into adulthood. Study 1 uses polygenic scores derived from a large GWAS of educational attainment to demonstrate “genetic nurture”, through which the unique genetics of parents can give rise to passive gene-environment correlation that affects their offspring’s years of …

    umn Repository record for Tracing causes and consequences of human intelligence through genetic and cognitive data (opens in a new tab)

  6. Polygenic association in ADHD for the prediction of cognitive performance

    … Using the same sample we now evaluate whether polygenic signals for ADHD generated from genome-wide SNP data are associated with the most promising cognitive variables. Analysis used data from the International Multi-Centre ADHD Gene (IMAGE) project. Transmission disequilibrium test (TDT) was …

    kings Repository record for Polygenic association in ADHD for the prediction of cognitive performance (opens in a new tab)

  7. Enhancing genomic data quality through deep learning methods

    … where it informs genetic risk models and polygenic scores; in agriculture, where it guides breeding for yield and resilience; and in evolutionary biology, where it illuminates the forces shaping diversity. Yet, phenotype prediction is fundamentally constrained by incomplete genotype data, …

    temple Repository record for Enhancing genomic data quality through deep learning methods (opens in a new tab)

  8. The genetics of autism and related traits

    … directions about how this can be leveraged using polygenic scores from multiple phenotypes to potentially stratify individuals within the autism spectrum, and both the strengths and limitations of the reported studies.

    cambridge Repository record for The genetics of autism and related traits (opens in a new tab)

  9. Common genetic variation and spliceosome variants in rare developmental disorders

    … the role of common variants in severe NDDs using polygenic scores (PGS) in both DDD and the Genomics England (GEL) 100,000 Genomes project. I tested whether undiagnosed NDD probands over- or under- inherit PGS for NDDs and correlated traits. I found that NDD probands over-inherit PGS for NDDs and …

    cambridge Repository record for Common genetic variation and spliceosome variants in rare developmental disorders (opens in a new tab)

  10. Understanding the Genetic Basis of Obesity: Lessons from Man’s Best Friend

    … statistics were used to construct a canine polygenic risk score method for obesity, something not previously achieved in dogs. Genetic scores for obesity predicted phenotypes in related but not unrelated dog breeds. Polygenic scores also provided insight into known within-breed variation in …

    cambridge Repository record for Understanding the Genetic Basis of Obesity: Lessons from Man’s Best Friend (opens in a new tab)

  11. Polygene Scores für häufige komplexe Erkrankungen und deren Anwendung auf Parkinson

    … die derzeitigen Anwendung von polygenen Scores (PGS) auf häufige komplexe Erkrankungen in homogenen Populationen, insbesondere auf die Parkinson-Krankheit (PD, engl. Parkinson’s disease). Die fünf Hauptarbeiten dieser Dissertation setzen sich neben der Enwicklung von PGS vorallem mit …

    cau-kiel Repository record for Polygene Scores für häufige komplexe Erkrankungen und deren Anwendung auf Parkinson (opens in a new tab)

  12. Understanding and stratifying brain health through blood-based omics data

    … DNAm patterns can also be used to derive proxy scores for protein levels – an approach that is somewhat analogous to polygenic scores. These proxies are known as protein epigenetic scores (or EpiScores). In some cases, protein EpiScores outperform measured proteins in associations with brain …

    edinburgh Repository record for Understanding and stratifying brain health through blood-based omics data (opens in a new tab)