Joint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction

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Joint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1371/JOURNAL.PGEN.1006836
P932PMC publication ID5482506
P698PubMed publication ID28598966

P50authorQiongshi LuQ56037067
Yiming HuQ59677627
P2093author name stringMo Li
Wei Liu
Hongyu Zhao
Yuhua Zhang
P2860cites workBiological insights from 108 schizophrenia-associated genetic lociQ24561833
Multiple common variants for celiac disease influencing immune gene expressionQ24608614
Common polygenic variation contributes to risk of schizophrenia and bipolar disorderQ28250609
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes riskQ28270700
Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetesQ28272915
The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studiesQ28742793
Large-scale association analysis identifies 13 new susceptibility loci for coronary artery diseaseQ29417023
Dissecting the genetics of complex traits using summary association statisticsQ30241340
A UNIFIED FRAMEWORK FOR VARIANCE COMPONENT ESTIMATION WITH SUMMARY STATISTICS IN GENOME-WIDE ASSOCIATION STUDIES.Q52668235
Developing and evaluating polygenic risk prediction models for stratified disease preventionQ30251440
Joint analysis of functional genomic data and genome-wide association studies of 18 human traitsQ30794057
A statistical framework to predict functional non-coding regions in the human genome through integrated analysis of annotation dataQ30959484
Leveraging Functional-Annotation Data in Trans-ethnic Fine-Mapping StudiesQ30981389
Genetic-based prediction of disease traits: prediction is very difficult, especially about the futureQ33693846
Leveraging functional annotations in genetic risk prediction for human complex diseasesQ33825680
MultiBLUP: improved SNP-based prediction for complex traitsQ34153795
Polygenic modeling with bayesian sparse linear mixed modelsQ34585745
Estimating missing heritability for disease from genome-wide association studiesQ34687621
Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorderQ35059381
GPA: a statistical approach to prioritizing GWAS results by integrating pleiotropy and annotationQ35418401
Risk Classification with an Adaptive Naive Bayes Kernel Machine ModelQ35902754
Integrative Tissue-Specific Functional Annotations in the Human Genome Provide Novel Insights on Many Complex Traits and Improve Signal Prioritization in Genome Wide Association StudiesQ35983658
Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk ScoresQ36133352
Partitioning heritability by functional annotation using genome-wide association summary statisticsQ36225291
Prediction of breast cancer risk based on profiling with common genetic variantsQ36583004
Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traitsQ36670925
An atlas of genetic correlations across human diseases and traitsQ36701237
Joint Bayesian inference of risk variants and tissue-specific epigenomic enrichments across multiple complex human diseasesQ37336953
Improving genetic risk prediction by leveraging pleiotropyQ37705235
Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United StatesQ39734134
Personalized risk prediction for type 2 diabetes: the potential of genetic risk scoresQ41706055
Large sample size, wide variant spectrum, and advanced machine-learning technique boost risk prediction for inflammatory bowel diseaseQ42105908
GenoWAP: GWAS signal prioritization through integrated analysis of genomic functional annotation.Q47602336
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue6
P304page(s)e1006836
P577publication date2017-06-09
P1433published inPLOS GeneticsQ1893441
P1476titleJoint modeling of genetically correlated diseases and functional annotations increases accuracy of polygenic risk prediction
P478volume13

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cites work (P2860)
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Q55514099A unifying framework for joint trait analysis under a non-infinitesimal model.
Q90238103Heritability of Regional Brain Volumes in Large-Scale Neuroimaging and Genetic Studies
Q64066372Jackknife Model Averaging Prediction Methods for Complex Phenotypes with Gene Expression Levels by Integrating External Pathway Information
Q89655415Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies
Q47567523Multi-trait analysis of genome-wide association summary statistics using MTAG.
Q52326277Pleiotropic Mapping and Annotation Selection in Genome-wide Association Studies with Penalized Gaussian Mixture Models.
Q52311378Unitary Physiology.

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