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Shared Polygenicity detection using Elastic Nets: SHARPEN

https://doi.org/10.1101/279604
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Prevalence of Obesity, Diabetes, and Obesity-Related Health Risk Factors, 2001
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Introduction to Meta‐Analysis
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Polygenic Epidemiology
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Polygenic scores via penalized regression on summary statistics
inferredcites →https://doi.org/10.1007/s00125-008-1025-9openalex-snapshot
Newly identified loci highlight beta cell dysfunction as a key cause of type 2 diabetes: Where are the insulin resistance genes?
inferredcites →https://doi.org/10.1007/s001250051098openalex-snapshot
Missense mutations in the pancreatic islet beta cell inwardly rectifying K + channel gene (KIR6.2/BIR ): a meta-analysis suggests a role in the polygenic basis of Type II diabetes mellitus in Caucasians
inferredcites →https://doi.org/10.1016/j.ajhg.2010.02.027openalex-snapshot
Evidence for Polygenic Susceptibility to Multiple Sclerosis—The Shape of Things to Come
inferredcites →https://doi.org/10.1016/j.ajhg.2010.11.011openalex-snapshot
GCTA: A Tool for Genome-wide Complex Trait Analysis
inferredcites →https://doi.org/10.1016/j.ajhg.2017.09.022openalex-snapshot
Local Genetic Correlation Gives Insights into the Shared Genetic Architecture of Complex Traits
inferredcites →https://doi.org/10.1016/j.cmet.2017.02.013openalex-snapshot
Predicting Polygenic Obesity Using Genetic Information
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A power primer.
inferredcites →https://doi.org/10.1038/mp.2013.166openalex-snapshot
Molecular genetic evidence for overlap between general cognitive ability and risk for schizophrenia: a report from the Cognitive Genomics consorTium (COGENT)
inferredcites →https://doi.org/10.1038/mp.2015.205openalex-snapshot
Assessing the genetic overlap between BMI and cognitive function
inferredcites →https://doi.org/10.1038/nature08185openalex-snapshot
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
inferredcites →https://doi.org/10.1038/nature09410openalex-snapshot
Hundreds of variants clustered in genomic loci and biological pathways affect human height
inferredcites →https://doi.org/10.1038/nature14177openalex-snapshot
Genetic studies of body mass index yield new insights for obesity biology
inferredcites →https://doi.org/10.1038/ng.2385openalex-snapshot
Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways
inferredcites →https://doi.org/10.1038/ng.2711openalex-snapshot
Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs
inferredcites →https://doi.org/10.1038/ng.290openalex-snapshot
Variants in MTNR1B influence fasting glucose levels
inferredcites →https://doi.org/10.1038/ng.3406openalex-snapshot
An atlas of genetic correlations across human diseases and traits
inferredcites →https://doi.org/10.1038/ng.520openalex-snapshot
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
inferredcites →https://doi.org/10.1038/ng.686openalex-snapshot
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
inferredcites →https://doi.org/10.1042/cs20160136openalex-snapshot
Recent progress in genetics, epigenetics and metagenomics unveils the pathophysiology of human obesity
inferredcites →https://doi.org/10.1080/00401706.1993.10485033openalex-snapshot
A Statistical View of Some Chemometrics Regression Tools
inferredcites →https://doi.org/10.1093/bioinformatics/btm522openalex-snapshot
Detecting high-order interactions of single nucleotide polymorphisms using genetic programming
inferredcites →https://doi.org/10.1093/hmg/ddu312openalex-snapshot
Most common ‘sporadic’ cancers have a significant germline genetic component
inferredcites →https://doi.org/10.1098/rspb.2015.1684openalex-snapshot
Progress and promise in understanding the genetic basis of common diseases
inferredcites →https://doi.org/10.1111/j.1467-9868.2005.00503.xopenalex-snapshot
Regularization and Variable Selection Via the Elastic Net
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1159/000113935openalex-snapshot
Polygenic Obesity in Humans
inferredcites →https://doi.org/10.1161/circgenetics.113.000169openalex-snapshot
Association of Levels of Fasting Glucose and Insulin With Rare Variants at the Chromosome 11p11.2- MADD Locus
inferredcites →https://doi.org/10.1186/1478-7954-7-16openalex-snapshot
Diabetes prevalence and diagnosis in US states: analysis of health surveys
inferredcites →https://doi.org/10.1186/s13742-015-0047-8openalex-snapshot
Second-generation PLINK: rising to the challenge of larger and richer datasets
inferredcites →https://doi.org/10.2307/1267351openalex-snapshot
Ridge Regression: Biased Estimation for Nonorthogonal Problems
inferredcites →https://doi.org/10.2307/1269656openalex-snapshot
A Statistical View of Some Chemometrics Regression Tools
inferredcites →https://doi.org/10.2307/1271436openalex-snapshot
Ridge Regression: Biased Estimation for Nonorthogonal Problems
inferredcites →https://doi.org/10.2337/db11-0415openalex-snapshot
Genome-Wide Association Identifies Nine Common Variants Associated With Fasting Proinsulin Levels and Provides New Insights Into the Pathophysiology of Type 2 Diabetes
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