[HTML][HTML] Biobank-scale methods and projections for sparse polygenic prediction from machine learning

TG Raben, L Lello, E Widen, SDH Hsu - Scientific Reports, 2023 - nature.com
In this paper we characterize the performance of linear models trained via widely-used
sparse machine learning algorithms. We build polygenic scores and examine performance …

Predictive power of the ADHD GWAS 2019 polygenic risk scores in independent samples of bipolar patients with childhood ADHD

M Grigoroiu-Serbanescu, G Giaroli… - Journal of affective …, 2020 - Elsevier
Background Although there is evidence of genetic correlation between bipolar disorder (BP)
and ADHD, the extent of the shared genetic risk and whether childhood ADHD (cADHD) …

Correlations between immune and metabolic serum markers and schizophrenia/bipolar disorder polygenic risk score in first‐episode psychosis

C Maj, S Tosato, R Zanardini, A Lasalvia… - Early Intervention in …, 2020 - Wiley Online Library
Aims There is a strong interest in identifying the biological mechanisms involved in the
genetic risk for psychotic disorders. In this study, we evaluated the correlation between …

[HTML][HTML] The use of polygenic risk scores as a covariate in psychological studies

MJ Uddin, C Hjorthøj, T Ahammed, M Nordentoft… - Methods in …, 2022 - Elsevier
Polygenic risk scores (PRS) are increasingly used to predict diseases (eg, schizophrenia).
However, the proper application of the PRS in psychological studies is sparse. We aimed to …

Genetic susceptibility to cerebrovascular disease: A systematic review

CJ Griessenauer, S Farrell, A Sarkar… - Journal of Cerebral …, 2018 - journals.sagepub.com
Investigation of genetic susceptibility to cerebrovascular disease has been of growing
interest. A systematic review of human studies assessing neurogenomic aspects of …

[HTML][HTML] Polygenic association with severity and long-term outcome in eating disorder cases

T Johansson, A Birgegård, R Zhang, SE Bergen… - Translational …, 2022 - nature.com
About 20% of individuals with anorexia nervosa (AN) remain chronically ill. Therefore, early
identification of poor outcome could improve care. Genetic research has identified regions of …

[HTML][HTML] Probability of Alzheimer's disease based on common and rare genetic variants

V Escott-Price, KM Schmidt - Alzheimer's research & therapy, 2021 - Springer
Background Alzheimer's disease, among other neurodegenerative disorders, spans
decades in individuals' life and exhibits complex progression, symptoms and …

Association between polygenic risk for tobacco or alcohol consumption and liability to licit and illicit substance use in young Australian adults

LH Chang, B Couvy-Duchesne, M Liu… - Drug and alcohol …, 2019 - Elsevier
Background Co-morbid substance use is very common. Despite a historical focus using
genetic epidemiology to investigate comorbid substance use and misuse, few studies have …

Pitfalls of predicting age‐related traits by polygenic risk scores

V Escott‐Price, KM Schmidt - Annals of Human Genetics, 2023 - Wiley Online Library
Polygenic risk scores (PRS) are a method increasingly used to capture the combined effect
of genome‐wide significant variants and those which individually do not show genome‐wide …

A qualitative study exploring the consumer experience of receiving self-initiated polygenic risk scores from a third-party website

K Lowes, K Borle, L Folkersen, J Austin - European Journal of Human …, 2023 - nature.com
The number of people accessing their own polygenic risk scores (PRSs) online is rapidly
increasing, yet little is known about why people are doing this, how they react to the …