Research review: polygenic methods and their application to psychiatric traits

NR Wray, SH Lee, D Mehta… - Journal of child …, 2014 - Wiley Online Library
Background Despite evidence from twin and family studies for an important contribution of
genetic factors to both childhood and adult onset psychiatric disorders, identifying robustly …

[HTML][HTML] Machine learning SNP based prediction for precision medicine

DSW Ho, W Schierding, M Wake, R Saffery… - Frontiers in …, 2019 - frontiersin.org
In the past decade, precision genomics based medicine has emerged to provide tailored
and effective healthcare for patients depending upon their genetic features. Genome Wide …

[PDF][PDF] Genome-wide modeling of polygenic risk score in colorectal cancer risk

M Thomas, LC Sakoda, M Hoffmeister… - The American journal of …, 2020 - cell.com
Accurate colorectal cancer (CRC) risk prediction models are critical for identifying
individuals at low and high risk of developing CRC, as they can then be offered targeted …

Polygenic scores via penalized regression on summary statistics

TSH Mak, RM Porsch, SW Choi, X Zhou… - Genetic …, 2017 - Wiley Online Library
Polygenic scores (PGS) summarize the genetic contribution of a person's genotype to a
disease or phenotype. They can be used to group participants into different risk categories …

Predicting polygenic risk of psychiatric disorders

AR Martin, MJ Daly, EB Robinson, SE Hyman… - Biological …, 2019 - Elsevier
Genetics provides two major opportunities for understanding human disease—as a
transformative line of etiological inquiry and as a biomarker for heritable diseases. In …

Genomic prediction of coronary heart disease

G Abraham, AS Havulinna, OG Bhalala… - European heart …, 2016 - academic.oup.com
Aims Genetics plays an important role in coronary heart disease (CHD) but the clinical utility
of genomic risk scores (GRSs) relative to clinical risk scores, such as the Framingham Risk …

[HTML][HTML] Simultaneous discovery, estimation and prediction analysis of complex traits using a Bayesian mixture model

G Moser, SH Lee, BJ Hayes, ME Goddard… - PLoS …, 2015 - journals.plos.org
Gene discovery, estimation of heritability captured by SNP arrays, inference on genetic
architecture and prediction analyses of complex traits are usually performed using different …

An atlas of genetic scores to predict multi-omic traits

Y Xu, SC Ritchie, Y Liang, PRHJ Timmers, M Pietzner… - Nature, 2023 - nature.com
The use of omic modalities to dissect the molecular underpinnings of common diseases and
traits is becoming increasingly common. But multi-omic traits can be genetically predicted …

Artificial intelligence, big data and machine learning approaches in precision medicine & drug discovery

A Nayarisseri, R Khandelwal, P Tanwar… - Current drug …, 2021 - ingentaconnect.com
Artificial Intelligence revolutionizes the drug development process that can quickly identify
potential biologically active compounds from millions of candidate within a short period. The …

Improved prediction of bacterial genotype-phenotype associations using interpretable pangenome-spanning regressions

JA Lees, TT Mai, M Galardini, NE Wheeler… - MBio, 2020 - Am Soc Microbiol
Discovery of genetic variants underlying bacterial phenotypes and the prediction of
phenotypes such as antibiotic resistance are fundamental tasks in bacterial genomics …