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Evaluation of genomic and phenomic prediction for application in apple breeding.
BMC Plant Biol
January 2025
Molecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, Universitaetstrasse 2, Zurich, 8092, Switzerland.
Background: Apple breeding schemes can be improved by using genomic prediction models to forecast the performance of breeding material. The predictive ability of these models depends on factors like trait genetic architecture, training set size, relatedness of the selected material to the training set, and the validation method used. Alternative genotyping methods such as RADseq and complementary data from near-infrared spectroscopy could help improve the cost-effectiveness of genomic prediction.
View Article and Find Full Text PDFNeurocognitive challenges Post-COVID: current perspectives and future solutions.
Eur Arch Psychiatry Clin Neurosci
January 2025
Institute of Psychiatric Phenomics and Genomics (IPPG), LMU University Hospital, LMU Munich, Munich, Germany.
Rejection of the hijab is not a psychiatric diagnosis.
Lancet Psychiatry
February 2025
Section on Psychological Consequences of Torture and Persecution, World Psychiatric Association, Geneva, Switzerland. Electronic address:
Genomics yields biological and phenotypic insights into bipolar disorder.
Nature
January 2025
Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Bipolar disorder is a leading contributor to the global burden of disease. Despite high heritability (60-80%), the majority of the underlying genetic determinants remain unknown. We analysed data from participants of European, East Asian, African American and Latino ancestries (n = 158,036 cases with bipolar disorder, 2.
View Article and Find Full Text PDFExome sequencing of UK birth cohorts.
Wellcome Open Res
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Human Genetics, Wellcome Sanger Institute, Hinxton, England, CB10 1SA, UK.
Birth cohort studies involve repeated surveys of large numbers of individuals from birth and throughout their lives. They collect information useful for a wide range of life course research domains, and biological samples which can be used to derive data from an increasing collection of omic technologies. This rich source of longitudinal data, when combined with genomic data, offers the scientific community valuable insights ranging from population genetics to applications across the social sciences.
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