Prediction of phenotypes from genotypes is an important objective to fulfill the promises of genomics, precision medicine and agriculture. Although it’s now possible to account for the majority of genetic variation through model fitting, prediction of phenotypes remains a challenge, especially across populations that have diverged in the past. In this study, we designed simulation experiments to specifically investigate the role of genetic interactions in failure of polygenic prediction. We found that non-additive genetic interactions can significantly reduce the accuracy of polygenic prediction. Our study demonstrated the importance of considering genetic interactions in genetic prediction
ABSTRACT The identification of gene–gene and gene–environment interaction in human traits and diseas...
Much of the genetic basis of complex traits is present on current genotyping products, but the indiv...
The human genome encodes a limited number of genes yet contributes to individual differences in a va...
A core focus of genetics is understanding the relationship between genetic variation (genotypes) and...
Characterizing genetic interactions is crucial to understanding cellular and organismal response to ...
Given the many small-effect loci uncovered by genome-wide association studies (GWAS), polygenic scor...
Average effects of alleles can show considerable differences between populations. The magnitude of t...
Patterns of interactions could influence the biological systems at various levels and potentially af...
<div><p>Polygenic scores have recently been used to summarise genetic effects among an ensemble of m...
Abstract Genetic prediction for complex traits is usually based on models including individual (infi...
Fields as diverse as human genetics and sociology are increasingly using polygenic scores based on g...
To describe a living organism it is often said that “the whole is greater than the sum of its parts”...
These are the main codes used for the paper: Wang et al. Polygenic prediction across populations is...
Polygenic scores have recently been used to summarise genetic effects among an ensemble of markers t...
The human genome encodes a limited number of genes yet contribute to individual differences in a vas...
ABSTRACT The identification of gene–gene and gene–environment interaction in human traits and diseas...
Much of the genetic basis of complex traits is present on current genotyping products, but the indiv...
The human genome encodes a limited number of genes yet contributes to individual differences in a va...
A core focus of genetics is understanding the relationship between genetic variation (genotypes) and...
Characterizing genetic interactions is crucial to understanding cellular and organismal response to ...
Given the many small-effect loci uncovered by genome-wide association studies (GWAS), polygenic scor...
Average effects of alleles can show considerable differences between populations. The magnitude of t...
Patterns of interactions could influence the biological systems at various levels and potentially af...
<div><p>Polygenic scores have recently been used to summarise genetic effects among an ensemble of m...
Abstract Genetic prediction for complex traits is usually based on models including individual (infi...
Fields as diverse as human genetics and sociology are increasingly using polygenic scores based on g...
To describe a living organism it is often said that “the whole is greater than the sum of its parts”...
These are the main codes used for the paper: Wang et al. Polygenic prediction across populations is...
Polygenic scores have recently been used to summarise genetic effects among an ensemble of markers t...
The human genome encodes a limited number of genes yet contribute to individual differences in a vas...
ABSTRACT The identification of gene–gene and gene–environment interaction in human traits and diseas...
Much of the genetic basis of complex traits is present on current genotyping products, but the indiv...
The human genome encodes a limited number of genes yet contributes to individual differences in a va...