Research review: polygenic methods and their application to psychiatric traits
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 …
genetic factors to both childhood and adult onset psychiatric disorders, identifying robustly …
Machine learning SNP based prediction for precision medicine
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 …
and effective healthcare for patients depending upon their genetic features. Genome Wide …
[HTML][HTML] Genome-wide modeling of polygenic risk score in colorectal cancer risk
Accurate colorectal cancer (CRC) risk prediction models are critical for identifying
individuals at low and high risk of develo** CRC, as they can then be offered targeted …
individuals at low and high risk of develo** CRC, as they can then be offered targeted …
Polygenic scores via penalized regression on summary statistics
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 …
disease or phenotype. They can be used to group participants into different risk categories …
An atlas of genetic scores to predict multi-omic traits
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 …
traits is becoming increasingly common. But multi-omic traits can be genetically predicted …
Predicting polygenic risk of psychiatric disorders
Genetics provides two major opportunities for understanding human disease—as a
transformative line of etiological inquiry and as a biomarker for heritable diseases. In …
transformative line of etiological inquiry and as a biomarker for heritable diseases. In …
Genomic prediction of coronary heart disease
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 …
of genomic risk scores (GRSs) relative to clinical risk scores, such as the Framingham Risk …
Simultaneous discovery, estimation and prediction analysis of complex traits using a Bayesian mixture model
Gene discovery, estimation of heritability captured by SNP arrays, inference on genetic
architecture and prediction analyses of complex traits are usually performed using different …
architecture and prediction analyses of complex traits are usually performed using different …
Artificial intelligence, big data and machine learning approaches in precision medicine & drug discovery
Artificial Intelligence revolutionizes the drug development process that can quickly identify
potential biologically active compounds from millions of candidate within a short period. The …
potential biologically active compounds from millions of candidate within a short period. The …
Survey of the heritability and sparse architecture of gene expression traits across human tissues
Understanding the genetic architecture of gene expression traits is key to elucidating the
underlying mechanisms of complex traits. Here, for the first time, we perform a systematic …
underlying mechanisms of complex traits. Here, for the first time, we perform a systematic …