Results 81 to 90 of about 2,929,620 (353)
JCPP Advances, Volume 2, Issue 4, December 2022., 2022 Associations with school failure were smaller for conduct problems characterised as ‘childhood‐limited’ and ‘adolescent‐onset’. Findings were robust across two different methodological approaches: using statistical adjustment for covariates, and polygenic risk scores predicting educational attainment. Abstract Background Educational difficulties are an
Thais Martins‐Silva +7 more
wiley +1 more source
The next 10 years of behavioural genomic research
JCPP Advances, Volume 2, Issue 4, December 2022., 2022 Three transformative developments for behavioural genomic research in the next 10 years are described. First, behavioural genomic research will use dimensional measures to reveal the hierarchical genetic architecture of psychopathology. A second direction for behavioural genomic research will be to investigate causa models of GE interplay.
Robert Plomin
wiley +1 more source
Nature Communications, 2023 Polygenic risk scores are used to improve risk prediction for common diseases but typically have reduced accuracy for individuals of non-European ancestry.
Jiacheng Miao +5 more
doaj +1 more source
Evaluating unsupervised disentangled representation learning for genomic discovery and disease risk prediction [PDF]
arXiv, 2023 High-dimensional clinical data have become invaluable resources for genetic studies, due to their accessibility in biobank-scale datasets and the development of high performance modeling techniques especially using deep learning. Recent work has shown that low dimensional embeddings of these clinical data learned by variational autoencoders (VAE) can ...
arxiv
Diabetes, 2020 There is a limited understanding of how genetic loci associated with glycemic traits and type 2 diabetes (T2D) influence the response to antidiabetic medications. Polygenic scores provide increasing power to detect patterns of disease predisposition that
Josephine H. Li +6 more
semanticscholar +1 more source
A polygenic risk score predicts atrial fibrillation in cardiovascular disease.
European Heart Journal, 2022 AIMS Interest in targeted screening programmes for atrial fibrillation (AF) has increased, yet the role of genetics in identifying patients at highest risk of developing AF is unclear.
N. Marston +19 more
semanticscholar +1 more source
JCPP Advances, Volume 2, Issue 4, December 2022., 2022 Although it is well‐established that both genetics and the environment influence brain development, they are typically examined separately. This study lends novel insights into gene‐environment interplay on the developing brain as well as pointing to promising candidate loci for future mechanistic studies.
Koen Bolhuis +8 more
wiley +1 more source
Assessment of genetic risk for improved clinical-neuropathological correlations
Acta Neuropathologica Communications, 2020 In the clinical diagnosis of dementia with Lewy bodies, distinction from Alzheimer’s disease is suboptimal and complicated by shared genetic risk factors and frequent co-pathology.
Barbara E. Spencer +3 more
doaj +1 more source
A comprehensive evaluation of polygenic score methods across cohorts in psychiatric disorders
medRxiv, 2020 Polygenic scores (PGSs), which assess the genetic risk of individuals for a disease, are calculated as a weighted count of risk alleles identified in genome-wide association studies (GWASs).
Guiyan Ni +13 more
semanticscholar +1 more source
Stroke, 2020 To the Editor: I read with great interest the article by Hachiya et al1 published in Stroke recently. Hachiya et al aimed to investigate the relationship between a genome-wide polygenic risk score and the development of ischemic stroke in a population ...
Bing-kun Zheng
semanticscholar +1 more source