A review of feature selection methods for machine learning-based disease risk prediction
N Pudjihartono, T Fadason, AW Kempa-Liehr… - Frontiers in …, 2022 - frontiersin.org
Machine learning has shown utility in detecting patterns within large, unstructured, and
complex datasets. One of the promising applications of machine learning is in precision …
complex datasets. One of the promising applications of machine learning is in precision …
The gut microbiota and obesity: from correlation to causality
L Zhao - Nature Reviews Microbiology, 2013 - nature.com
The gut microbiota has been linked with chronic diseases such as obesity in humans.
However, the demonstration of causality between constituents of the microbiota and specific …
However, the demonstration of causality between constituents of the microbiota and specific …
Small effects: The indispensable foundation for a cumulative psychological science
FM Götz, SD Gosling… - … on psychological science, 2022 - journals.sagepub.com
We draw on genetics research to argue that complex psychological phenomena are most
likely determined by a multitude of causes and that any individual cause is likely to have …
likely determined by a multitude of causes and that any individual cause is likely to have …
Leveraging polygenic enrichments of gene features to predict genes underlying complex traits and diseases
Genome-wide association studies (GWASs) are a valuable tool for understanding the
biology of complex human traits and diseases, but associated variants rarely point directly to …
biology of complex human traits and diseases, but associated variants rarely point directly to …
Common SNPs explain a large proportion of the heritability for human height
J Yang, B Benyamin, BP McEvoy, S Gordon… - Nature …, 2010 - nature.com
SNPs discovered by genome-wide association studies (GWASs) account for only a small
fraction of the genetic variation of complex traits in human populations. Where is the …
fraction of the genetic variation of complex traits in human populations. Where is the …
[HTML][HTML] Integrating common and rare genetic variation in diverse human populations
International HapMap 3 Consortium - Nature, 2010 - ncbi.nlm.nih.gov
Despite great progress in identifying genetic variants that influence human disease, most
inherited risk remains unexplained. A more complete understanding requires genome-wide …
inherited risk remains unexplained. A more complete understanding requires genome-wide …
Application of high-dimensional feature selection: evaluation for genomic prediction in man
ML Bermingham, R Pong-Wong, A Spiliopoulou… - Scientific reports, 2015 - nature.com
In this study, we investigated the effect of five feature selection approaches on the
performance of a mixed model (G-BLUP) and a Bayesian (Bayes C) prediction method. We …
performance of a mixed model (G-BLUP) and a Bayesian (Bayes C) prediction method. We …
Dense genotyping identifies and localizes multiple common and rare variant association signals in celiac disease
G Trynka, KA Hunt, NA Bockett, J Romanos, V Mistry… - Nature …, 2011 - nature.com
Using variants from the 1000 Genomes Project pilot European CEU dataset and data from
additional resequencing studies, we densely genotyped 183 non-HLA risk loci previously …
additional resequencing studies, we densely genotyped 183 non-HLA risk loci previously …
Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease
The gene encoding apolipoprotein E (APOE) on chromosome 19 is the only confirmed
susceptibility locus for late-onset Alzheimer's disease. To identify other risk loci, we …
susceptibility locus for late-onset Alzheimer's disease. To identify other risk loci, we …
Gene-environment interaction and psychiatric disorders: Review and future directions
Empirical studies suggest that psychiatric disorders result from a complex interplay between
genetic and environmental factors. Most evidence for such gene-environment interaction …
genetic and environmental factors. Most evidence for such gene-environment interaction …