Results 51 to 60 of about 3,197,012 (359)

Polygenic risk scores

Seminars in Arthritis and Rheumatism
Polygenic risk scores (PRS) estimate an individual's genetic risk for a disease or trait compared to a matched population. For many rheumatic diseases PRS have been developed that have discriminatory capacity better than some widely used biomarkers, and in some cases are the most discriminatory tests available.
Brian T. Palmisano, Joshua W. Knowles
  +6 more sources

Can education be personalised using pupils’ genetic data?

eLife, 2020
The increasing predictive power of polygenic scores for education has led to their promotion by some as a potential tool for genetically informed policy. How accurately polygenic scores predict an individual pupil's educational performance conditional on
Tim T Morris, Neil M Davies, George Davey Smith   +2 more
doaj   +1 more source

Polygenic hazard score to guide screening for aggressive prostate cancer: development and validation in large scale cohorts. [PDF]

, 2018
OBJECTIVES: To develop and validate a genetic tool to predict age of onset of aggressive prostate cancer (PCa) and to guide decisions of who to screen and at what age.

core   +2 more sources

PRSice: Polygenic Risk Score software [PDF]

Bioinformatics, 2014
Abstract Summary: A polygenic risk score (PRS) is a sum of trait-associated alleles across many genetic loci, typically weighted by effect sizes estimated from a genome-wide association study. The application of PRS has grown in recent years as their utility for detecting shared genetic aetiology among traits has become appreciated; PRS ...
Euesden, Jack, Lewis, Cathryn M, O'Reilly, Paul F   +2 more
openaire   +5 more sources

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

Genome 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, Milton Pividori, Ani Manichaikul, Abraham A. Palmer, Nancy J. Cox, Heather E. Wheeler, Hae Kyung Im   +6 more
openaire   +4 more sources

A polygenic score for acute vaso-occlusive pain in pediatric sickle cell disease.

Blood Advances, 2021
Individuals with monogenic disorders can experience variable phenotypes that are influenced by genetic variation. To investigate this in sickle cell disease (SCD), we performed whole-genome sequencing (WGS) of 722 individuals with hemoglobin HbSS or ...
E. Rampersaud, G. Kang, L. Palmer, S. Rashkin, Shuoguo Wang, W. Bi, N. Alberts, D. Anghelescu, Martha Barton, K. Birch, N. Boulos, A. Brandow, R. Brooke, Ti‐Cheng Chang, Wenan Chen, Yong Cheng, Juan Ding, J. Easton, Jason R. Hodges, C. Kanne, S. Levy, H. Mulder, Ajay P Patel, Latika Puri, Celeste D Rosencrance, Michael C. Rusch, Y. Sapkota, Edgar Sioson, Akshay Sharma, Xing Tang, A. Thrasher, Winfred C. Wang, Yu Yao, Y. Yasui, D. Yergeau, J. Hankins, V. Sheehan, J. Downing, J. Estepp, Jinghui Zhang, M. DeBaun, Gang Wu, M. Weiss   +42 more
semanticscholar   +1 more source

Genome-wide association studies of the self-rating of effects of ethanol (SRE). [PDF]

, 2020
The level of response (LR) to alcohol as measured with the Self-Report of the Effects of Alcohol Retrospective Questionnaire (SRE) evaluates the number of standard drinks usually required for up to four effects. The need for a higher number of drinks for
Agrawal, Arpana, Dick, Danielle, Edenberg, Howard J, Farris, Sean, Foroud, Tatiana, Goate, Alison, Goldman, David, Hesselbrock, Victor, Johnson, Emma C, Joslyn, Geoff, Kapoor, Manav, Kramer, John, Lai, Dongbing, Liu, Yunlong, Mayfield, R Dayne, McCutcheon, Vivia V, Nurnberger, John, Porjesz, Bernice, Ramchandani, Vijay A, Rao, Xi, Schuckit, Marc, Schwandt, Melanie, Tischfield, Jay, Wetherill, Leah   +23 more
core   +2 more sources

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   +7 more sources

NAFLD‐related hepatocellular carcinoma: The growing challenge

Hepatology, EarlyView., 2022
Risk and protective factors for NAFLD‐related hepatocellular carcinoma Abstract Hepatocellular carcinoma (HCC) is a common cause of cancer‐related mortality and morbidity worldwide. With the obesity pandemic, NAFLD‐related HCC is contributing to the burden of disease exponentially.
Pir Ahmad Shah, Rashmee Patil, Stephen A. Harrison   +2 more
wiley   +1 more source

A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease

Nature Medicine, 2023
A polygenic risk score for coronary artery disease developed using data from individuals of five different ancestries has increased accuracy across diverse populations.
A. Patel, Minxian Wang, Y. Ruan, S. Koyama, S. Clarke, Xiong Yang, C. Tcheandjieu, Saaket Agrawal, A. Fahed, P. Ellinor, P. Tsao, Yan V. Sun, Kelly Cho, P. Wilson, T. Assimes, D. V. van Heel, A. Butterworth, Krishna G. Aragam, P. Natarajan, A. Khera   +19 more
semanticscholar   +1 more source