Results 61 to 70 of about 613,789 (384)

Validation of a multi-ancestry polygenic risk score and age-specific risks of prostate cancer: A meta-analysis within diverse populations

open access: yesmedRxiv, 2022
Background: We recently developed a multi-ancestry polygenic risk score (PRS) that effectively stratifies prostate cancer risk across populations. In this study, we validated the performance of the PRS in the multi-ancestry Million Veteran Program (MVP ...
Fei Chen   +34 more
semanticscholar   +1 more source

PRSice-2: Polygenic Risk Score software for biobank-scale data

open access: yesGigaScience, 2019
Background Polygenic risk score (PRS) analyses have become an integral part of biomedical research, exploited to gain insights into shared aetiology among traits, to control for genomic profile in experimental studies, and to strengthen causal inference,
S. Choi, P. O’Reilly
semanticscholar   +1 more source

A polygenic risk score for nasopharyngeal carcinoma shows potential for risk stratification and personalized screening

open access: yesNature Communications, 2022
Polygenic risk scores (PRS) have the potential to identify individuals at risk of diseases, optimizing treatment, and predicting survival outcomes. Here, we construct and validate a genome-wide association study (GWAS) derived PRS for nasopharyngeal ...
Yongqiao He   +63 more
semanticscholar   +1 more source

The ecology and quantitative genetics of seed and seedling traits in upland and lowland ecotypes of a perennial grass

open access: yesEvolution Letters, Volume 6, Issue 6, Page 460-473, December 2022., 2022
Abstract Plants have evolved diverse reproductive allocation strategies and seed traits to aid in dispersal, persistence in the seed bank, and establishment. In particular, seed size, dormancy, and early seedling vigor are thought to be key functional traits with important recruitment and fitness consequences across abiotic stress gradients.
Samsad Razzaque, Thomas E. Juenger
wiley   +1 more source

Integrated polygenic tool substantially enhances coronary artery disease prediction [PDF]

open access: yes, 2021
Background: There is considerable interest in whether genetic data can be used to improve standard cardiovascular disease risk calculators, as the latter are routinely used in clinical practice to manage preventative treatment.
Ashley, Euan A   +18 more
core   +5 more sources

Prostate cancer risk prediction using a polygenic risk score [PDF]

open access: yes, 2020
Hereditary factors have a strong influence on prostate cancer (PC) risk and poorer outcomes, thus stratification by genetic factors addresses a critical need for targeted PC screening and risk-adapted follow-up.
Sipeky, Csilla   +5 more
core   +1 more source

Genetic risk factors in autoimmune Addison's disease [PDF]

open access: yes, 2023
Autoimmune Addison’s disease is the most common form of primary adrenal insufficiency in the Western world. The low prevalence of the disease has hampered large-scale unbiased genetic studies where the entire genome could be examined at once.
Aranda Guillén, Maribel
core   +1 more source

Predicting Treatment Response in Schizophrenia With Magnetic Resonance Imaging and Polygenic Risk Score

open access: yesFrontiers in Genetics, 2022
Background: Prior studies have separately demonstrated that magnetic resonance imaging (MRI) and schizophrenia polygenic risk score (PRS) are predictive of antipsychotic medication treatment outcomes in schizophrenia.
Meng Wang   +6 more
semanticscholar   +1 more source

Metrics for Evaluating Polygenic Risk Scores [PDF]

open access: yesJNCI Cancer Spectrum, 2020
Abstract There is growing interest in the use of polygenic risk scores based on genetic variants to predict cancer incidence. The type of metric used to evaluate the predictive performance of polygenic risk scores plays a crucial role in their interpretation.
openaire   +3 more sources

Polygenic transcriptome risk scores (PTRS) can improve portability of polygenic risk scores across ancestries [PDF]

open access: yesGenome Biology, 2022
Abstract Background Polygenic risk scores (PRS) are valuable to translate the results of genome-wide association studies (GWAS) into clinical practice. To date, most GWAS have been based on individuals of European-ancestry leading to poor performance in populations of non-European ancestry.
Yanyu Liang   +6 more
openaire   +4 more sources

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