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Polygenic scores for UK Biobank scale data

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jamapsychiatry.2015.0346openalex-snapshot
Polygenic Risk Score, Parental Socioeconomic Status, Family History of Psychiatric Disorders, and the Risk for Schizophrenia
inferredcites →https://doi.org/10.1001/jamapsychiatry.2015.0554openalex-snapshot
Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder
inferredcites →https://doi.org/10.1002/brb3.205openalex-snapshot
Genome‐wide polygenic scoring for a 14‐year long‐term average depression phenotype
inferredcites →https://doi.org/10.1002/gepi.20600openalex-snapshot
Evaluation of polygenic risk scores for predicting breast and prostate cancer risk
inferredcites →https://doi.org/10.1002/gepi.21698openalex-snapshot
Performance and Robustness of Penalized and Unpenalized Methods for Genetic Prediction of Complex Human Disease
inferredcites →https://doi.org/10.1002/gepi.21809openalex-snapshot
Whole Genome Prediction of Bladder Cancer Risk With the Bayesian LASSO
inferredcites →https://doi.org/10.1002/gepi.22050openalex-snapshot
Polygenic scores via penalized regression on summary statistics
inferredcites →https://doi.org/10.1007/s00737-014-0428-5openalex-snapshot
Applying polygenic risk scores to postpartum depression
inferredcites →https://doi.org/10.1016/j.metabol.2012.08.018openalex-snapshot
Prospects of personalized medicine in cardiovascular diseases
inferredcites →https://doi.org/10.1016/j.metabol.2012.08.023openalex-snapshot
Role of genomics on the path to personalized medicine
inferredcites →https://doi.org/10.1038/mp.2013.138openalex-snapshot
Polygenic dissection of diagnosis and clinical dimensions of bipolar disorder and schizophrenia
inferredcites →https://doi.org/10.1038/mp.2015.126openalex-snapshot
Phenome-wide analysis of genome-wide polygenic scores
inferredcites →https://doi.org/10.1038/mp.2015.225openalex-snapshot
Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N=112 151) and 24 GWAS consortia
inferredcites →https://doi.org/10.1038/mp.2017.163openalex-snapshot
Multi-polygenic score approach to trait prediction
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/nature13595openalex-snapshot
Biological insights from 108 schizophrenia-associated genetic loci
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.2232openalex-snapshot
Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis
inferredcites →https://doi.org/10.1038/ng.2579openalex-snapshot
Projecting the performance of risk prediction based on polygenic analyses of genome-wide association studies
inferredcites →https://doi.org/10.1038/ng.2797openalex-snapshot
Discovery and refinement of loci associated with lipid levels
inferredcites →https://doi.org/10.1038/ng.2897openalex-snapshot
Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility
inferredcites →https://doi.org/10.1038/ng.3097openalex-snapshot
Defining the role of common variation in the genomic and biological architecture of adult human height
inferredcites →https://doi.org/10.1038/ng.3396openalex-snapshot
A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease
inferredcites →https://doi.org/10.1038/ng.3766openalex-snapshot
Case–control association mapping by proxy using family history of disease
inferredcites →https://doi.org/10.1038/ng1847openalex-snapshot
Principal components analysis corrects for stratification in genome-wide association studies
inferredcites →https://doi.org/10.1038/nn.4040openalex-snapshot
Polygenic risk scores for schizophrenia and bipolar disorder predict creativity
inferredcites →https://doi.org/10.1038/nrg.2016.27openalex-snapshot
Developing and evaluating polygenic risk prediction models for stratified disease prevention
inferredcites →https://doi.org/10.1038/nrg.2017.104openalex-snapshot
The new genetics of intelligence
inferredcites →https://doi.org/10.1038/nrg3457openalex-snapshot
Pitfalls of predicting complex traits from SNPs
inferredcites →https://doi.org/10.1038/s41588-018-0171-3openalex-snapshot
Biobank-driven genomic discovery yields new insight into atrial fibrillation biology
inferredcites →https://doi.org/10.1038/s41588-019-0397-8openalex-snapshot
Genome-wide association study identifies 30 loci associated with bipolar disorder
inferredcites →https://doi.org/10.1093/bioinformatics/btu848openalex-snapshot
PRSice: Polygenic Risk Score software
inferredcites →https://doi.org/10.1101/051458openalex-snapshot
Multi-ethnic polygenic risk scores improve risk prediction in diverse populations
inferredcites →https://doi.org/10.1101/166298openalex-snapshot
Genome-wide genetic data on ~500,000 UK Biobank participants
inferredcites →https://doi.org/10.1101/203257openalex-snapshot
Polygenic risk scores applied to a single cohort reveal pleiotropy among hundreds of human phenotypes
inferredcites →https://doi.org/10.1101/218875openalex-snapshot
Phenome-wide association studies (PheWAS) across large “real-world data” population cohorts support drug target validation
inferredcites →https://doi.org/10.1111/acps.12307openalex-snapshot
Polygenic risk score and the psychosis continuum model
inferredcites →https://doi.org/10.1111/jcpp.12295openalex-snapshot
Research Review: Polygenic methods and their application to psychiatric traits
inferredcites →https://doi.org/10.1161/strokeaha.113.004461openalex-snapshot
Genome-Wide Genotyping Demonstrates a Polygenic Risk Score Associated With White Matter Hyperintensity Volume in CADASIL
inferredcites →https://doi.org/10.1186/1471-2105-7-91openalex-snapshot
Bias in error estimation when using cross-validation for model selection
inferredcites →https://doi.org/10.1186/2047-217x-4-1openalex-snapshot
SmileFinder: a resampling-based approach to evaluate signatures of selection from genome-wide sets of matching allele frequency data in two or more diploid populations
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/10.1371/journal.pone.0101596openalex-snapshot
Polygenic Risk Predicts Obesity in Both White and Black Young Adults
inferredcites →https://doi.org/10.2307/3182612openalex-snapshot
CAUSALITY: MODELS, REASONING AND INFERENCE

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/gepi.22339openalex-snapshot
A principal component approach to improve association testing with polygenic risk scores
inferred← citeshttps://doi.org/10.1007/s00439-019-02049-xopenalex-snapshot
Ancestry-specific polygenic scores and SNP heritability of 25(OH)D in African- and European-ancestry populations
inferred← citeshttps://doi.org/10.1016/j.socscimed.2022.115649openalex-snapshot
Gender differences in the association between parity and cognitive function: Evidence from the UK biobank
inferred← citeshttps://doi.org/10.1038/s41596-020-0353-1openalex-snapshot
Tutorial: a guide to performing polygenic risk score analyses
inferred← citeshttps://doi.org/10.1038/s43856-023-00382-xopenalex-snapshot
Branched chain amino acids harbor distinct and often opposing effects on health and disease
inferred← citeshttps://doi.org/10.1111/1468-0009.12365openalex-snapshot
From Fraternities to DNA: The Challenge Genetic Prediction Poses to Insurance Markets
inferred← citeshttps://doi.org/10.1111/jcpp.13611openalex-snapshot
Research Review: A guide to computing and implementing polygenic scores in developmental research
inferred← citeshttps://doi.org/10.1136/openhrt-2023-002382openalex-snapshot
Ancestral diversity in lipoprotein(a) studies helps address evidence gaps
inferred← citeshttps://doi.org/10.1289/ehp9098openalex-snapshot
Strengthening Causal Inference in Exposomics Research: Application of Genetic Data and Methods
inferred← citeshttps://doi.org/10.3389/fgene.2021.720750openalex-snapshot
Findings from the Hispanic Community Health Study/Study of Latinos on the Importance of Sociocultural Environmental Interactors: Polygenic Risk Score-by-Immigration and Dietary Interactions
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