| scholarly article | Q13442814 |
| P50 | author | Eleazar Eskin | Q62673408 |
| Buhm Han | Q88645519 | ||
| P2860 | cites work | Explaining heterogeneity in meta-analysis: a comparison of methods | Q52141807 |
| Incorporating variability in estimates of heterogeneity in the random effects model in meta-analysis | Q73298639 | ||
| Confronting ethnicity-specific disease risk | Q82098617 | ||
| Meta-analysis in genome-wide association studies | Q24273398 | ||
| Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls | Q24550675 | ||
| Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci | Q24618592 | ||
| Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes | Q24632382 | ||
| Quantifying heterogeneity in a meta-analysis | Q27860672 | ||
| Meta-analysis in clinical trials | Q27860779 | ||
| Statistical aspects of the analysis of data from retrospective studies of disease | Q27860916 | ||
| Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer Disease Meta Analysis Consortium | Q28252389 | ||
| Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci | Q28281906 | ||
| Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes | Q28680760 | ||
| Practical aspects of imputation-driven meta-analysis of genome-wide association studies | Q28749837 | ||
| Genome-wide association and meta-analysis of bipolar disorder in individuals of European ancestry | Q28943449 | ||
| MAOA, maltreatment, and gene–environment interaction predicting children's mental health: new evidence and a meta-analysis | Q29012785 | ||
| A new multipoint method for genome-wide association studies by imputation of genotypes | Q29547209 | ||
| A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants | Q29547210 | ||
| Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels | Q29547214 | ||
| Meta-analysis in genome-wide association datasets: strategies and application in Parkinson disease | Q33276409 | ||
| Rapid and accurate multiple testing correction and power estimation for millions of correlated markers | Q33432685 | ||
| Discovery properties of genome-wide association signals from cumulatively combined data sets | Q33508966 | ||
| Prioritizing GWAS results: A review of statistical methods and recommendations for their application | Q33571786 | ||
| Gene-environment interactions in psychiatry: joining forces with neuroscience | Q34540742 | ||
| Genomewide association studies and human disease | Q34606556 | ||
| Imputation aware meta-analysis of genome-wide association studies | Q35007657 | ||
| Random-Effects Model Aimed at Discovering Associations in Meta-Analysis of Genome-wide Association Studies | Q35136958 | ||
| Gene-environment interactions in asthma and other respiratory diseases | Q36014721 | ||
| SINGLE NUCLEOTIDE POLYMORPHISMS THAT INFLUENCE LIPID METABOLISM: Interaction with Dietary Factors | Q36191117 | ||
| Population-specific risk of type 2 diabetes conferred by HNF4A P2 promoter variants: a lesson for replication studies | Q36943813 | ||
| Uncertainty in heterogeneity estimates in meta-analyses | Q36987539 | ||
| Interpretation of tests of heterogeneity and bias in meta-analysis | Q37329334 | ||
| Bayesian statistical methods for genetic association studies | Q37599326 | ||
| A likelihood approach to meta-analysis with random effects | Q39047107 | ||
| The statistical basis of meta-analysis | Q40790809 | ||
| Bayes factors for genome-wide association studies: comparison with P-values | Q45064935 | ||
| A variant of the gene encoding leukotriene A4 hydrolase confers ethnicity-specific risk of myocardial infarction | Q46155185 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P4510 | describes a project that uses | Bayes' theorem | Q182505 |
| P433 | issue | 3 | |
| P921 | main subject | meta-analysis | Q815382 |
| genome-wide association study | Q1098876 | ||
| P304 | page(s) | e1002555 | |
| P577 | publication date | 2012-03-01 | |
| P1433 | published in | PLOS Genetics | Q1893441 |
| P1476 | title | Interpreting meta-analyses of genome-wide association studies | |
| P478 | volume | 8 |
| Q64065624 | A Genome-Wide Association Study of Skin and Iris Pigmentation among Individuals of South Asian Ancestry |
| Q28386760 | A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping |
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| Q50062511 | An efficient Bayesian meta-analysis approach for studying cross-phenotype genetic associations |
| Q42697286 | Applying meta-analysis to genotype-tissue expression data from multiple tissues to identify eQTLs and increase the number of eGenes |
| Q58752504 | Cancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purity |
| Q89579269 | Charting the landscape of graphical displays for meta-analysis and systematic reviews: a comprehensive review, taxonomy, and feature analysis |
| Q39136501 | Concordance of genetic risk across migraine subgroups: Impact on current and future genetic association studies |
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| Q64917597 | Finding associated variants in genome-wide association studies on multiple traits. |
| Q64934619 | Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions. |
| Q37079498 | ForestPMPlot: A Flexible Tool for Visualizing Heterogeneity Between Studies in Meta-analysis |
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| Q56334063 | Genetic Regulatory Mechanisms of Smooth Muscle Cells Map to Coronary Artery Disease Risk Loci |
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| Q91999545 | Genome wide association study of 40 clinical measurements in eight dog breeds |
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| Q28390712 | Genome-wide association study identifies variants in casein kinase II (CSNK2A2) to be associated with leukocyte telomere length in a Punjabi Sikh diabetic cohort |
| Q35755326 | Heterogeneity revealed through meta-analysis might link geographical differences with nasopharyngeal carcinoma incidence in Han Chinese populations. |
| Q34778535 | High Trans-ethnic Replicability of GWAS Results Implies Common Causal Variants |
| Q64113992 | Identifying Multi-Omics Causers and Causal Pathways for Complex Traits |
| Q90598095 | International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci |
| Q52427399 | Large, Diverse Population Cohorts of hiPSCs and Derived Hepatocyte-like Cells Reveal Functional Genetic Variation at Blood Lipid-Associated Loci |
| Q90835534 | Meta-Analysis Based on Nonconvex Regularization |
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| Q37458267 | Meta-analysis identifies gene-by-environment interactions as demonstrated in a study of 4,965 mice |
| Q91964416 | Meta-analysis of GWA studies provides new insights on the genetic architecture of skin pigmentation in recently admixed populations |
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| Q39964346 | Multimarker analysis suggests the involvement of BDNF signaling and microRNA biosynthesis in suicidal behavior |
| Q38408977 | Myeloperoxidase G-463A polymorphism and susceptibility to coronary artery disease: A meta-analysis |
| Q92153633 | Protocols, Methods, and Tools for Genome-Wide Association Studies (GWAS) of Dental Traits |
| Q29416987 | Risk loci for chronic obstructive pulmonary disease: a genome-wide association study and meta-analysis |
| Q28385219 | Statistical Methods in Integrative Genomics |
| Q52370972 | Statistical power and utility of meta-analysis methods for cross-phenotype genome-wide association studies. |
| Q114382335 | The Neandertal Progesterone Receptor |
| Q40213493 | Widespread Allelic Heterogeneity in Complex Traits |
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