Harnessing the information contained within genome-wide association studies to improve individual prediction of complex disease risk.
paper
Cited
Public
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- Authors
- Evans, David M; Visscher, Peter M; Wray, Naomi R
- Year
- 2009
- Journal
- Human molecular genetics
- PMID
- 19553258
- DOI
- 10.1093/hmg/ddp295
The current paradigm within genetic diagnostics is to test individuals only at loci known to affect risk of complex disease-yet the technology exists to genotype an individual at thousands of loci across the genome. We investigated whether information from genome-wide association studies could be harnessed to improve discrimination of complex disease affection status. We employed genome-wide data from the Wellcome Trust Case Control Consortium to test this hypothesis. Each disease cohort together with the same set of controls were split into two samples-a 'Training Set', where thousands of SNPs that might predispose to disease risk were identified and a 'Prediction Set', where the discriminatory ability of these SNPs was assessed. Genome-wide scores consisting of, for example, the total number of risk alleles an individual carries was calculated for each individual in the prediction set. Case-control status was regressed on this score and the area under the receiver operator characteristic curve (AUC) estimated. In most cases, a liberal inclusion of SNPs in the genome-wide score improved AUC compared with a more stringent selection of top SNPs, but did not perform as well as selection based upon established variants. The addition of genome-wide scores to known variant information produced only a limited increase in discriminative accuracy but was most effective for bipolar disorder, coronary heart disease and type II diabetes. We conclude that this small increase in discriminative accuracy is unlikely to be of diagnostic or predictive utility at the present time.
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| Using genomic context informed genotype data and within-model ancestry adjustment to classify type 2 diabetes. | Barnett EJ et al. | β | 2025 | β |
| DeepRisk: A deep learning approach for genome-wide assessment of common disease risk. | Peng J et al. | β | 2024 | β |
| Evaluation of penalized and machine learning methods for asthma disease prediction in the Korean Genome and Epidemiology Study (KoGES). | Choi Y et al. | β | 2024 | β |
| Genomic Machine Learning Meta-regression: Insights on Associations of Study Features With Reported Model Performance. | Barnett EJ et al. | β | 2024 | β |
| How to translate genetic findings into clinical applications in spondyloarthritis? | Frison E et al. | β | 2024 | β |
| Polygenic risk scores. | Brown MA | β | 2024 | β |
| Unravelling the Genetic Landscape of Hemiplegic Migraine: Exploring Innovative Strategies and Emerging Approaches. | Alfayyadh MM et al. | β | 2024 | β |
| Deep Learning Framework for Complex Disease Risk Prediction Using Genomic Variations. | Alzoubi H et al. | β | 2023 | β |
| Genetic Risk Scores and Missing Heritability in Ovarian Cancer. | Fatapour Y et al. | β | 2023 | β |
| Models of communication for polygenic scores and associated psychosocial and behavioral effects on recipients: A systematic review. | Wallingford CK et al. | β | 2023 | β |
| Relevance of Pharmacogenomics to the Safe Use of Antimicrobials. | Daly AK | β | 2023 | β |
| Use of multiple polygenic risk scores for distinguishing schizophrenia-spectrum disorder and affective psychosis categories in a first-episode sample; the EU-GEI study. | Rodriguez V et al. | β | 2023 | β |
| A genetic association study of tobacco withdrawal endophenotypes in African Americans. | Leventhal AM et al. | β | 2022 | β |
| A minority of somatically mutated genes in pre-existing fatty liver disease have prognostic importance in the development of NAFLD. | Mann JP et al. | β | 2022 | β |
| An application based on bioinformatics and machine learning for risk prediction of sepsis at first clinical presentation using transcriptomic data. | Shi S et al. | β | 2022 | β |
| Challenging the utility of polygenic scores for social science: Environmental confounding, downward causation, and unknown biology. | Burt CH | β | 2022 | β |
| Examining social genetic effects on educational attainment via parental educational attainment, income, and parenting. | Su J et al. | β | 2022 | β |
| Exploring the causal effect of maternal pregnancy adiposity on offspring adiposity: Mendelian randomisation using polygenic risk scores. | Bond TA et al. | β | 2022 | β |
| Father absence, age at menarche, and genetic confounding: A replication and extension using a polygenic score. | Schlomer GL et al. | β | 2022 | β |
| Genetics and erectile dysfunction: leveraging early foundations for new discoveries. | Patel DP et al. | β | 2022 | β |
| Machine learning optimized polygenic scores for blood cell traits identify sex-specific trajectories and genetic correlations with disease. | Xu Y et al. | β | 2022 | β |
| Polygenic risk scores: An overview from bench to bedside for personalised medicine. | Cross B et al. | β | 2022 | β |
| DeepCOMBI: explainable artificial intelligence for the analysis and discovery in genome-wide association studies. | Mieth B et al. | β | 2021 | β |
| GABAergic polygenic risk for cocaine use disorder is negatively correlated with precuneus activity during cognitive control in African American individuals. | Yang BZ et al. | β | 2021 | β |
| Genetic Architecture of Depression: Where Do We Stand Now? | Unal-Aydin P et al. | β | 2021 | β |
| Genetic variants and physical activity interact to affect bone density in Hispanic children. | Hou R et al. | β | 2021 | β |
| Genomic prediction using low-coverage portable Nanopore sequencing. | Lamb HJ et al. | β | 2021 | β |
| Incorporating Polygenic Risk Scores in the ACE Twin Model to Estimate A-C Covariance. | Dolan CV et al. | β | 2021 | β |
| Interaction-based feature selection algorithm outperforms polygenic risk score in predicting Parkinsonβs Disease status | Klinger JE et al. | β | 2021 | β |
| Interaction-Based Feature Selection Algorithm Outperforms Polygenic Risk Score in Predicting Parkinson's Disease Status. | Cope JL et al. | β | 2021 | β |
| Polygenic risk scores and rheumatic diseases. | Brown MA et al. | β | 2021 | β |
| Sleep deficits and cannabis use behaviors: an analysis of shared genetics using linkage disequilibrium score regression and polygenic risk prediction. | Winiger EA et al. | β | 2021 | β |
| Smooth-threshold multivariate genetic prediction incorporating gene-environment interactions. | Ueki M et al. | β | 2021 | β |
| The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation. | Lambert SA et al. | β | 2021 | β |
| A brief history of human disease genetics. | Claussnitzer M et al. | β | 2020 | β |
| Developing and testing high-efficacy patient subgroups within a clinical trial using risk scores. | Cherlin S et al. | β | 2020 | β |
| Development of a polygenic risk score to improve screening for fracture risk: A genetic risk prediction study. | Forgetta V et al. | β | 2020 | β |
| Genome-wide Modeling of Polygenic Risk Score in Colorectal Cancer Risk. | Thomas M et al. | β | 2020 | β |
| Genome-Wide Polygenic Score, Clinical Risk Factors, and Long-Term Trajectories of Coronary Artery Disease. | Hindy G et al. | β | 2020 | β |
| Novel approach to incorporate information about recessive lethal genes increases the accuracy of genomic prediction for mortality traits. | Gebreyesus G et al. | β | 2020 | β |
| The influence of common polygenic risk and gene sets on social skills group training response in autism spectrum disorder. | Li D et al. | β | 2020 | β |
| A flexible and parallelizable approach to genome-wide polygenic risk scores. | Newcombe PJ et al. | β | 2019 | β |
| A semiparametric efficient estimator in case-control studies for gene-environment independent models. | Liang L et al. | β | 2019 | β |
| Characteristics of Gut Microbiota in Patients with Hypertension and/or Hyperlipidemia: A Cross-Sectional Study on Rural Residents in Xinxiang County, Henan Province. | Li H et al. | β | 2019 | β |
| Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data. | Romagnoni A et al. | β | 2019 | β |
| Complex Trait Prediction from Genome Data: Contrasting EBV in Livestock to PRS in Humans: Genomic Prediction. | Wray NR et al. | β | 2019 | β |
| Efficient Implementation of Penalized Regression for Genetic Risk Prediction. | PrivΓ© F et al. | β | 2019 | β |
| Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb. | Fritsche LG et al. | β | 2019 | β |
| Machine Learning SNP Based Prediction for Precision Medicine. | Ho DSW et al. | β | 2019 | β |
| Rediscovering the value of families for psychiatric genetics research. | Glahn DC et al. | β | 2019 | β |
| The Family Check-up Intervention Moderates Polygenic Influences on Long-Term Alcohol Outcomes: Results from a Randomized Intervention Trial. | Kuo SI et al. | β | 2019 | β |
| Towards clinical utility of polygenic risk scores. | Lambert SA et al. | β | 2019 | β |
| Unpacking Genetic Risk Pathways for College Student Alcohol Consumption: The Mediating Role of Impulsivity. | Ksinan AJ et al. | β | 2019 | β |
| Application of a Genetic Risk Score to Racially Diverse Type 1 Diabetes Populations Demonstrates the Need for Diversity in Risk-Modeling. | Perry DJ et al. | β | 2018 | β |
| Association between Vitamin D Genetic Risk Score and Cancer Risk in a Large Cohort of U.S. Women. | Chandler PD et al. | β | 2018 | β |
| Collider scope: when selection bias can substantially influence observed associations. | MunafΓ² MR et al. | β | 2018 | β |
| Common DNA Variants Accurately Rank an Individual of Extreme Height. | Sexton CE et al. | β | 2018 | β |
| Development of risk prediction models for glioma based on genome-wide association study findings and comprehensive evaluation of predictive performances. | Zhao Y et al. | β | 2018 | β |
| Estimation of complex effect-size distributions using summary-level statistics from genome-wide association studies across 32 complex traits. | Zhang Y et al. | β | 2018 | β |
| Evaluating the potential role of pleiotropy in Mendelian randomization studies. | Hemani G et al. | β | 2018 | β |
| Evaluation of polygenic risk scores for ovarian cancer risk prediction in a prospective cohort study. | Yang X et al. | β | 2018 | β |
| Examining interactions between genetic risk for alcohol problems, peer deviance, and interpersonal traumatic events on trajectories of alcohol use disorder symptoms among African American college students. | Su J et al. | β | 2018 | β |
| Extending Causality Tests with Genetic Instruments: An Integration of Mendelian Randomization with the Classical Twin Design. | MinicΔ CC et al. | β | 2018 | β |
| Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference. | Corbin LJ et al. | β | 2018 | β |
| Genetic Predisposition, Clinical Risk Factor Burden, and Lifetime Risk of Atrial Fibrillation. | Weng LC et al. | β | 2018 | β |
| Insulin-like Growth Factor 1 (IGF-1) as a marker of cognitive decline in normal ageing: A review. | Frater J et al. | β | 2018 | β |
| Polygenic risk scores: a biased prediction? | De La Vega FM et al. | β | 2018 | β |
| Prediction of treatment response in rheumatoid arthritis patients using genome-wide SNP data. | Cherlin S et al. | β | 2018 | β |
| Predictive accuracy of combined genetic and environmental risk scores. | Dudbridge F et al. | β | 2018 | β |
| Understanding Mechanisms of Genetic Risk for Adolescent Internalizing and Externalizing Problems: The Mediating Role of Parenting and Personality. | Su J et al. | β | 2018 | β |
| Use of schizophrenia and bipolar disorder polygenic risk scores to identify psychotic disorders. | Calafato MS et al. | β | 2018 | β |
| Use of Single-Nucleotide Polymorphisms and Mammographic Density Plus Classic Risk Factors for Breast Cancer Risk Prediction. | van Veen EM et al. | β | 2018 | β |
| Using Full Genomic Information to Predict Disease: Breaking Down the Barriers Between Complex and Mendelian Diseases. | Jordan DM et al. | β | 2018 | β |
| Variants in TPMT, ITPA, ABCC4 and ABCB1 Genes As Predictors of 6-mercaptopurine Induced Toxicity in Children with Acute Lymphoblastic Leukemia. | Milosevic G et al. | β | 2018 | β |
| 10 Years of GWAS Discovery: Biology, Function, and Translation. | Visscher PM et al. | β | 2017 | β |
| Alterations of the Gut Microbiome in Hypertension. | Yan Q et al. | β | 2017 | β |
| Association between polygenic risk scores for attention-deficit hyperactivity disorder and educational and cognitive outcomes in the general population. | Stergiakouli E et al. | β | 2017 | β |
| Atrial Fibrillation Genetic Risk and Ischemic Stroke Mechanisms. | Lubitz SA et al. | β | 2017 | β |
| Collective Genetic Interaction Effects and the Role of Antigen-Presenting Cells in Autoimmune Diseases. | Woo HJ et al. | β | 2017 | β |
| Common variants of T-cells contribute differently to phenotypic variation in sarcoidosis. | Rivera NV et al. | β | 2017 | β |
| Crohn's Disease Localization Displays Different Predisposing Genetic Variants. | Palmieri O et al. | β | 2017 | β |
| Effects of Alzheimer's Disease-Associated Risk Loci on Amyloid-Ξ² Accumulation in the Brain of Idiopathic Normal Pressure Hydrocephalus Patients. | LaiterΓ€ T et al. | β | 2017 | β |
| Genetic factors exist behind the high prevalence of reduced high-density lipoprotein cholesterol levels in the Roma population. | PikΓ³ P et al. | β | 2017 | β |
| Genetic risk models: Influence of model size on risk estimates and precision. | Shan Y et al. | β | 2017 | β |
| Genetic Risk Prediction of Atrial Fibrillation. | Lubitz SA et al. | β | 2017 | β |
| Genetic Risk Scores for Type 1 Diabetes Prediction and Diagnosis. | Redondo MJ et al. | β | 2017 | β |
| Human Demographic History Impacts Genetic Risk Prediction across Diverse Populations. | Martin AR et al. | β | 2017 | β |
| Identification of susceptible genes for complex chronic diseases based on disease risk functional SNPs and interaction networks. | Li W et al. | β | 2017 | β |
| Improving Disease Prediction by Incorporating Family Disease History in Risk Prediction Models with Large-Scale Genetic Data. | Gim J et al. | β | 2017 | β |
| Neuroimaging genomics in psychiatry-a translational approach. | Mufford MS et al. | β | 2017 | β |
| Performance of risk prediction for inflammatory bowel disease based on genotyping platform and genomic risk score method. | Chen GB et al. | β | 2017 | β |
| Polygenic scores via penalized regression on summary statistics. | Mak TSH et al. | β | 2017 | β |
| Recent Developments in Mendelian Randomization Studies. | Zheng J et al. | β | 2017 | β |
| Roles of Response Inhibition and Gene-Environment Interplay in Pathways to Adolescents' Externalizing Problems. | Wang FL et al. | β | 2017 | β |
| Single Nucleotide Polymorphisms Associated with Reading Ability Show Connection to Socio-Economic Outcomes. | Luciano M et al. | β | 2017 | β |
| Statistical methods to detect pleiotropy in human complex traits. | Hackinger S et al. | β | 2017 | β |
| A comparison of genomic profiles of complex diseases under different models. | Potenciano V et al. | β | 2016 | β |
| Combining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies. | Mieth B et al. | β | 2016 | β |
| Gene-environment interactions in obesity: implication for future applications in preventive medicine. | Nakamura S et al. | β | 2016 | β |
| High Prevalence of Smoking in the Roma Population Seems to Have No Genetic Background. | Fiatal S et al. | β | 2016 | β |
| Is There a Role for Genetics in the Prevention of Sudden Cardiac Death? | Faragli A et al. | β | 2016 | β |
| Multi-locus genetic risk score predicts risk for Crohn's disease in Slovenian population. | ZupanΔiΔ K et al. | β | 2016 | β |
| Pharmacogenomic variants have larger effect sizes than genetic variants associated with other dichotomous complex traits. | Maranville JC et al. | β | 2016 | β |
| Polygenic Epidemiology. | Dudbridge F | β | 2016 | β |
| Prediction of Quantitative Traits Using Common Genetic Variants: Application to Body Mass Index. | Bae S et al. | β | 2016 | β |
| Risk Prediction Using Genome-Wide Association Studies on Type 2 Diabetes. | Choi S et al. | β | 2016 | β |
| Smooth-Threshold Multivariate Genetic Prediction with Unbiased Model Selection. | Ueki M et al. | β | 2016 | β |
| The future of epidemiology: methods or matter? | Ebrahim S et al. | β | 2016 | β |
| Whole genome prediction and heritability of childhood asthma phenotypes. | McGeachie MJ et al. | β | 2016 | β |
| Aggregate Effects of Intraocular Pressure and Cup-to-Disc Ratio Genetic Variants on Glaucoma in a Multiethnic Asian Population. | Tham YC et al. | β | 2015 | β |
| Application of high-dimensional feature selection: evaluation for genomic prediction in man. | Bermingham ML et al. | β | 2015 | β |
| Assessment of first and second degree relatives of individuals with bipolar disorder shows increased genetic risk scores in both affected relatives and young At-Risk Individuals. | Fullerton JM et al. | β | 2015 | β |
| Enrichment of Minor Alleles of Common SNPs and Improved Risk Prediction for Parkinson's Disease. | Zhu Z et al. | β | 2015 | β |
| Evaluation of Penalized and Nonpenalized Methods for Disease Prediction with Large-Scale Genetic Data. | Won S et al. | β | 2015 | β |
| Explicit Modeling of Ancestry Improves Polygenic Risk Scores and BLUP Prediction. | Chen CY et al. | β | 2015 | β |
| Genetic diagnosis and prognosis of Alzheimer's disease: challenges and opportunities. | Reitz C | β | 2015 | β |
| Genomic prediction of complex human traits: relatedness, trait architecture and predictive meta-models. | Spiliopoulou A et al. | β | 2015 | β |
| Genomic risk prediction of complex human disease and its clinical application. | Abraham G et al. | β | 2015 | β |
| Mendelian Randomization: New Applications in the Coming Age of Hypothesis-Free Causality. | Evans DM et al. | β | 2015 | β |
| Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores. | VilhjΓ‘lmsson BJ et al. | β | 2015 | β |
| Polygenic risk for externalizing disorders: Gene-by-development and gene-by-environment effects in adolescents and young adults. | Salvatore JE et al. | β | 2015 | β |
| Polygenic Scores in Epidemiology: Risk Prediction, Etiology, and Clinical Utility. | Maher BS | β | 2015 | β |
| Predicting sudden cardiac death using common genetic risk variants for coronary artery disease. | Hernesniemi JA et al. | β | 2015 | β |
| Risk Classification with an Adaptive Naive Bayes Kernel Machine Model. | Minnier J et al. | β | 2015 | β |
| Shared genetic influences between attention-deficit/hyperactivity disorder (ADHD) traits in children and clinical ADHD. | Stergiakouli E et al. | β | 2015 | β |
| Simultaneous discovery, estimation and prediction analysis of complex traits using a bayesian mixture model. | Moser G et al. | β | 2015 | β |
| Summarizing polygenic risks for complex diseases in a clinical whole-genome report. | Kong SW et al. | β | 2015 | β |
| The Current and Future Use of Ridge Regression for Prediction in Quantitative Genetics. | de Vlaming R et al. | β | 2015 | β |
| Variations in inflammatory genes as molecular markers for prediction of inflammatory bowel disease occurrence. | Stankovic B et al. | β | 2015 | β |
| Accurate and robust genomic prediction of celiac disease using statistical learning. | Abraham G et al. | β | 2014 | β |
| A population-based study of genetic variation and psychotic experiences in adolescents. | Zammit S et al. | β | 2014 | β |
| A review of cancer risk prediction models with genetic variants. | Wang X et al. | β | 2014 | β |
| A scoring strategy combining statistics and functional genomics supports a possible role for common polygenic variation in autism. | Carayol J et al. | β | 2014 | β |
| Assessing causality in the association between child adiposity and physical activity levels: a Mendelian randomization analysis. | Richmond RC et al. | β | 2014 | β |
| Combining genetic and nongenetic biomarkers to realize the promise of pharmacogenomics for inflammatory diseases. | Maranville JC et al. | β | 2014 | β |
| Cumulative effects of variants identified by genome-wide association studies in IgA nephropathy. | Zhou XJ et al. | β | 2014 | β |
| Genetic prediction of quantitative lipid traits: comparing shrinkage models to gene scores. | Warren H et al. | β | 2014 | β |
| Genome-wide polygenic scoring for a 14-year long-term average depression phenotype. | Chang SC et al. | β | 2014 | β |
| Identification of pathways for bipolar disorder: a meta-analysis. | Nurnberger JI et al. | β | 2014 | β |
| Incorporation of personal single nucleotide polymorphism (SNP) data into a national level electronic health record for disease risk assessment, part 1: an overview of requirements. | Beyan T et al. | β | 2014 | β |
| Incorporation of personal single nucleotide polymorphism (SNP) data into a national level electronic health record for disease risk assessment, part 3: an evaluation of SNP incorporated national health information system of Turkey for prostate cancer. | Beyan T et al. | β | 2014 | β |
| Integrating genetics and social science: genetic risk scores. | Belsky DW et al. | β | 2014 | β |
| Integrating genomics into evolutionary medicine. | RodrΓguez JA et al. | β | 2014 | β |
| Molecular genetic overlap in bipolar disorder, schizophrenia, and major depressive disorder. | Schulze TG et al. | β | 2014 | β |
| Polygenic risk scores for smoking: predictors for alcohol and cannabis use? | Vink JM et al. | β | 2014 | β |
| Polygenic scores predict alcohol problems in an independent sample and show moderation by the environment. | Salvatore JE et al. | β | 2014 | β |
| Poly-omic prediction of complex traits: OmicKriging. | Wheeler HE et al. | β | 2014 | β |
| Predicting cognitive ability in ageing cohorts using Type 2 diabetes genetic risk. | Luciano M et al. | β | 2014 | β |
| Regularized machine learning in the genetic prediction of complex traits. | Okser S et al. | β | 2014 | β |
| Single-marker and multi-marker mixed models for polygenic score analysis in family-based data. | Bohossian N et al. | β | 2014 | β |
| The emerging molecular architecture of schizophrenia, polygenic risk scores and the clinical implications for GxE research. | Iyegbe C et al. | β | 2014 | β |
| The potential to predict the course of childhood asthma. | Belsky DW et al. | β | 2014 | β |
| Variation in SLC1A1 is related to combat-related posttraumatic stress disorder. | Zhang J et al. | β | 2014 | β |
| When optimism hurts: inflated predictions in psychiatric neuroimaging. | Whelan R et al. | β | 2014 | β |
| Cumulative impact of common genetic variants and other risk factors on colorectal cancer risk in 42,103 individuals. | Dunlop MG et al. | β | 2013 | β |
| Exploring the genetic architecture of circulating 25-hydroxyvitamin D. | Hiraki LT et al. | β | 2013 | β |
| Extracting actionable information from genome scans. | Bacanu SA et al. | β | 2013 | β |
| Genetic tests obtainable through pharmacies: the good, the bad, and the ugly. | Patrinos GP et al. | β | 2013 | β |
| Genetic variants and their interactions in disease risk prediction - machine learning and network perspectives. | Okser S et al. | β | 2013 | β |
| Genomic risk models improve prediction of longitudinal lipid levels in children and young adults. | Wineinger NE et al. | β | 2013 | β |
| Insights into the genetic basis of type 2 diabetes. | Kato N | β | 2013 | β |
| Large sample size, wide variant spectrum, and advanced machine-learning technique boost risk prediction for inflammatory bowel disease. | Wei Z et al. | β | 2013 | β |
| Mining the human phenome using allelic scores that index biological intermediates. | Evans DM et al. | β | 2013 | β |
| Multilocus genetic risk scores for coronary heart disease prediction. | Ganna A et al. | β | 2013 | β |
| Penalized Regression and Risk Prediction in Genome-Wide Association Studies. | Austin E et al. | β | 2013 | β |
| Performance and robustness of penalized and unpenalized methods for genetic prediction of complex human disease. | Abraham G et al. | β | 2013 | β |
| Performance of polygenic scores for predicting phobic anxiety. | Walter S et al. | β | 2013 | β |
| Pitfalls of predicting complex traits from SNPs. | Wray NR et al. | β | 2013 | β |
| Polygenic modeling with bayesian sparse linear mixed models. | Zhou X et al. | β | 2013 | β |
| Power and predictive accuracy of polygenic risk scores. | Dudbridge F | β | 2013 | β |
| Predicting disease risk using bootstrap ranking and classification algorithms. | Manor O et al. | β | 2013 | β |
| Tailoring sparse multivariable regression techniques for prognostic single-nucleotide polymorphism signatures. | Binder H et al. | β | 2013 | β |
| White matter integrity as an intermediate phenotype: exploratory genome-wide association analysis in individuals at high risk of bipolar disorder. | Sprooten E et al. | β | 2013 | β |
| Whole genome sequencing in support of wellness and health maintenance. | Patel CJ et al. | β | 2013 | β |
| A better coefficient of determination for genetic profile analysis. | Lee SH et al. | β | 2012 | β |
| Biomarkers predicting treatment outcome in depression: what is clinically significant? | Uher R et al. | β | 2012 | β |
| Disease liability prediction from large scale genotyping data using classifiers with a reject option. | Quevedo JR et al. | β | 2012 | β |
| Distinct and replicable genetic risk factors for acute respiratory distress syndrome of pulmonary or extrapulmonary origin. | Tejera P et al. | β | 2012 | β |
| Genetic profiling using genome-wide significant coronary artery disease risk variants does not improve the prediction of subclinical atherosclerosis: the Cardiovascular Risk in Young Finns Study, the Bogalusa Heart Study and the Health 2000 Survey--a meta-analysis of three independent studies. | Hernesniemi JA et al. | β | 2012 | β |
| Genetic risk profiling and gene signature modeling to predict risk of complications after IPAA. | Sehgal R et al. | β | 2012 | β |
| Genome-environmental risk assessment of cocaine dependence. | Wei C et al. | β | 2012 | β |
| Genome-wide prediction of childhood asthma and related phenotypes in a longitudinal birth cohort. | Spycher BD et al. | β | 2012 | β |
| Genome-wide profiling of blood pressure in adults and children. | Taal HR et al. | β | 2012 | β |
| Heritability in the genome-wide association era. | Zaitlen N et al. | β | 2012 | β |
| How genes influence life span: the biodemography of human survival. | Yashin AI et al. | β | 2012 | β |
| Mammographic breast density and breast cancer: evidence of a shared genetic basis. | Varghese JS et al. | β | 2012 | β |
| Personalized medicine and atrial fibrillation: will it ever happen? | Lubitz SA et al. | β | 2012 | β |
| Phenotype prediction from genome-wide association studies: application to smoking behaviors. | Yoon D et al. | β | 2012 | β |
| Risk estimation and risk prediction using machine-learning methods. | Kruppa J et al. | β | 2012 | β |
| The aggregate effect of dopamine genes on dependence symptoms among cocaine users: cross-validation of a candidate system scoring approach. | Derringer J et al. | β | 2012 | β |
| Unidentified genetic variants influence pancreatic cancer risk: an analysis of polygenic susceptibility in the PanScan study. | Pierce BL et al. | β | 2012 | β |
| Use of support vector machines for disease risk prediction in genome-wide association studies: concerns and opportunities. | Mittag F et al. | β | 2012 | β |
| Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations. | Pahikkala T et al. | β | 2012 | β |
| Alzheimer's disease genetics: current knowledge and future challenges. | Hollingworth P et al. | β | 2011 | β |
| A non-parametric method for building predictive genetic tests on high-dimensional data. | Ye C et al. | β | 2011 | β |
| Evaluation of polygenic risk scores for predicting breast and prostate cancer risk. | Machiela MJ et al. | β | 2011 | β |
| Genetic risk profiles for depression and anxiety in adult and elderly cohorts. | Demirkan A et al. | β | 2011 | β |
| Genetic risk sum score comprised of common polygenic variation is associated with body mass index. | Peterson RE et al. | β | 2011 | β |
| Genome-wide association study of schizophrenia in a Japanese population. | Ikeda M et al. | β | 2011 | β |
| Identification of IL6R and chromosome 11q13.5 as risk loci for asthma. | Ferreira MA et al. | β | 2011 | β |
| Improved risk prediction for Crohn's disease with a multi-locus approach. | Kang J et al. | β | 2011 | β |
| Is life law-like? | Weiss KM et al. | β | 2011 | β |
| Maternal and offspring adiposity-related genetic variants and gestational weight gain. | Lawlor DA et al. | β | 2011 | β |
| Panel of Genetic Variations as a Potential Non-invasive Biomarker for Early Diagnosis of Alzheimer's Disease. | Ma SL et al. | β | 2011 | β |
| Polymorphism of the 5-HT transporter and response to antidepressants: randomised controlled trial. | Lewis G et al. | β | 2011 | β |
| Predicting sensation seeking from dopamine genes: use and misuse of genetic prediction. | Powell JE et al. | β | 2011 | β |
| Ranking causal variants and associated regions in genome-wide association studies by the support vector machine and random forest. | Roshan U et al. | β | 2011 | β |
| SNPs and other features as they predispose to complex disease: genome-wide predictive analysis of a quantitative phenotype for hypertension. | Won JH et al. | β | 2011 | β |
| Type 2 diabetes and obesity: genomics and the clinic. | Travers ME et al. | β | 2011 | β |
| A towards-multidimensional screening approach to predict candidate genes of rheumatoid arthritis based on SNP, structural and functional annotations. | Zhang L et al. | β | 2010 | β |
| Evidence for polygenic susceptibility to multiple sclerosis--the shape of things to come. | International Multiple Sclerosis Genetics Consortium (IMSGC) et al. | β | 2010 | β |
| Genetic cardiovascular risk prediction: will we get there? | Thanassoulis G et al. | β | 2010 | β |
| Genetic predictors of medically refractory ulcerative colitis. | Haritunians T et al. | β | 2010 | β |
| Hints of hidden heritability in GWAS. | Gibson G | β | 2010 | β |
| Locus category based analysis of a large genome-wide association study of rheumatoid arthritis. | Freudenberg J et al. | β | 2010 | β |
| Multi-locus models of genetic risk of disease. | Wray NR et al. | β | 2010 | β |
| Practical issues in building risk-predicting models for complex diseases. | Kang J et al. | β | 2010 | β |
| Predicting sensation seeking from dopamine genes. A candidate-system approach. | Derringer J et al. | β | 2010 | β |
| Risk prediction using genome-wide association studies. | Kooperberg C et al. | β | 2010 | β |
| Systematic analysis, comparison, and integration of disease based human genetic association data and mouse genetic phenotypic information. | Zhang Y et al. | β | 2010 | β |
| The genetic basis of spondyloarthritis: SPARTAN/IGAS 2009. | Evans DM et al. | β | 2010 | β |
| The pursuit of susceptibility genes for Alzheimer's disease: progress and prospects. | Sleegers K et al. | β | 2010 | β |
| From disease association to risk assessment: an optimistic view from genome-wide association studies on type 1 diabetes. | Wei Z et al. | β | 2009 | β |
| Genetic scoring analysis: a way forward in genome wide association studies? | Amin N et al. | β | 2009 | β |