Results 31 to 40 of about 2,929,620 (353)

Multi-PGS enhances polygenic prediction by combining 937 polygenic scores [PDF]

Nature Communications, 2023
AbstractThe predictive performance of polygenic scores (PGS) is largely dependent on the number of samples available to train the PGS. Increasing the sample size for a specific phenotype is expensive and takes time, but this sample size can be effectively increased by using genetically correlated phenotypes. We propose a framework to generate multi-PGS
Clara Albiñana, Zhihong Zhu, Andrew J. Schork, Andrés Ingason, Hugues Aschard, Isabell Brikell, Cynthia M. Bulik, Liselotte V. Petersen, Esben Agerbo, Jakob Grove, Merete Nordentoft, David M. Hougaard, Thomas Werge, Anders D. Børglum, Preben Bo Mortensen, John J. McGrath, Benjamin M. Neale, Florian Privé, Bjarni J. Vilhjálmsson   +18 more
openaire   +8 more sources

Examination of runs of homozygosity in relation to height in an endogamous Namibian population

American Journal of Biological Anthropology, Volume 180, Issue 1, Page 207-215, January 2023., 2023
Abstract Objectives Height is a complex, highly heritable polygenic trait subject to both genetic composition and environmental influences. Recent studies suggest that a large proportion of height heritability is determined by the cumulative effect of many low allele frequency variants across the genome. Previous research has also identified an inverse
Natalie Swinford, Brenna Gallagher, Jacob Sheehama, Meng Lin, Sean Prall, Brooke Scelza, Brenna M. Henn   +6 more
wiley   +1 more source

A longitudinal study of polygenic score and cognitive function decline considering baseline cognitive function, lifestyle behaviors, and diabetes among middle-aged and older US adults

Alzheimer’s Research & Therapy, 2023
Background Genomic study of cognition decline while considering baseline cognition and lifestyle behaviors is scarce. We aimed to evaluate the impact of a polygenic score for general cognition on cognition decline rate, while considering baseline ...
Tingting Liu, Changwei Li, Ruiyuan Zhang, Eugenia Flores Millender, Hongyu Miao, Michael Ormsbee, Jinzhen Guo, Adrianna Westbrook, Yang Pan, Jing Wang, Tanika N. Kelly   +10 more
doaj   +1 more source

Deep neural network improves the estimation of polygenic risk scores for breast cancer [PDF]

A. Badr\'e, L. Zhang, W. Muchero, J.C. Reynolds, C. Pan (2021). Deep neural network improves the estimation of polygenic risk scores for breast cancer. Journal of Human Genetics, 66(4), 359-369, 2023
Polygenic risk scores (PRS) estimate the genetic risk of an individual for a complex disease based on many genetic variants across the whole genome. In this study, we compared a series of computational models for estimation of breast cancer PRS. A deep neural network (DNN) was found to outperform alternative machine learning techniques and established ...
arxiv   +1 more source

Population differentiation of polygenic score predictions under stabilizing selection

bioRxiv, 2021
Given the many small-effect loci uncovered by genome-wide association studies (GWAS), polygenic scores have become central to the drive for genomic medicine and have spread into various areas including evolutionary studies of adaptation. While promising,
Sivan Yair, G. Coop
semanticscholar   +1 more source

Integrative polygenic risk score improves the prediction accuracy of complex traits and diseases

medRxiv, 2023
Polygenic risk scores (PRS) are an emerging tool to predict the clinical phenotypes and outcomes of individuals. Validation and transferability of existing PRS across independent datasets and diverse ancestries are limited, which hinders the practical ...
B. Truong, Leland E. Hull, Y. Ruan, Q. Huang, W. Hornsby, H. Martin, D. V. van Heel, Ying Wang, Alicia R. Martin, S. H. Lee, P. Natarajan   +10 more
semanticscholar   +1 more source

Association of Joint Genetic and Social Environmental Risks With Incident Myocardial Infarction: Results From the Health and Retirement Study

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2023
Background Myocardial infarction (MI) is a significant clinical and public health problem worldwide. However, little research has assessed the interplay between genetic susceptibility and social environment in the development of MI.
Junhan Tang, Chen Sheng, Yan Yan Wu, Lijing L. Yan, Chenkai Wu   +4 more
doaj   +1 more source

Identifying individuals with high risk of Alzheimer’s disease using polygenic risk scores

Nature Communications, 2021
While polygenic risk scores have been shown to be correlated with disease risk, there is little agreement on how the score should be calculated. Here the authors investigate risk scores for Alzheimer’s disease, finding that the most effective approach ...
Ganna Leonenko, Emily Baker, Joshua Stevenson-Hoare, Annerieke Sierksma, Mark Fiers, Julie Williams, Bart de Strooper, Valentina Escott-Price   +7 more
doaj   +1 more source

Polygenic risk score improves the accuracy of a clinical risk score for coronary artery disease

BMC Medicine, 2022
Background The value of polygenic risk scores (PRSs) towards improving guideline-recommended clinical risk models for coronary artery disease (CAD) prediction is controversial.
Austin King, Lang Wu, Hong-Wen Deng, Hui Shen, Chong Wu   +4 more
doaj   +1 more source

Polygenic Risk Score in Africa Population: Progress and challenges [PDF]

, 2021
Polygenic risk score (PRS) analysis is a powerful method been used to estimate an individual's genetic risk towards targeted traits. PRS analysis could be used to obtain evidence of a genetic effect beyond Genome-Wide Association Studies (GWAS) results i.e. when there are no significant markers.
arxiv   +1 more source