| Issue Information |
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| Issue Information |
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| Additional article of this Special Issue was previously published in another issue of Genetic Epidemiology. That is: |
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| A Novel One‐Sample Mendelian Randomization Approach for Count‐Type Outcomes That Is Robust to Correlated and Uncorrelated Pleiotropic Effects |
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| Estimating Causal Effects on a Disease Progression Trait Using Bivariate Mendelian Randomisation |
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| Integrative Multi‐Omics Approach for Improving Causal Gene Identification |
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| Genetic Associations of Persistent Opioid Use After Surgery Point to <i>OPRM1</i> but Not Other Opioid‐Related Loci as the Main Driver of Opioid Use Disorder |
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non‐Hispanic, European‐ancestry |
| GWASBrewer: An R Package for Simulating Realistic GWAS Summary Statistics |
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| Fine‐Mapping the Results From Genome‐Wide Association Studies of Primary Biliary Cholangitis Using SuSiE and h2‐D2 |
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| A Mixed‐Effect Kernel Machine Regression Model for Integrative Analysis of Alpha Diversity in Microbiome Studies |
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| Powerful Rare‐Variant Association Analysis of Secondary Phenotypes |
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| Enhancing Gene Expression Predictions Using Deep Learning and Functional Annotations |
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| PSAP‐Genomic‐Regions: A Method Leveraging Population Data to Prioritize Coding and Non‐Coding Variants in Whole Genome Sequencing for Rare Disease Diagnosis |
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| Predicting Lung Cancer in Korean Never‐Smokers With Polygenic Risk Scores |
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Korean ("Korean never-smokers") |
| Exploring and Accounting for Genetically Driven Effect Heterogeneity in Mendelian Randomization |
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| Ethical, Legal, and Social Implications of Gene‐Environment Interaction Research |
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| Comparing Ancestry Standardization Approaches for a Transancestry Colorectal Cancer Polygenic Risk Score |
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European; African; Admixed American; Middle Eastern; ancestrally diverse; admixture; principal components of a |
| Issue Information |
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| Using clustering of genetic variants in Mendelian randomization to interrogate the causal pathways underlying multimorbidity from a common risk factor |
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| Exploring pleiotropy in Mendelian randomisation analyses: What are genetic variants associated with ‘cigarette smoking initiation’ really capturing? |
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| Use of genetic correlations to examine selection bias |
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| Polygenic hazard score models for the prediction of Alzheimer's free survival using the lasso for Cox's proportional hazards model |
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| Statistics to prioritize rare variants in family‐based sequencing studies with disease subtypes |
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| Proteome‐wide association study using cis and trans variants and applied to blood cell and lipid‐related traits in the Women's Health Initiative study |
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| Issue Information |
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| Hierarchical joint analysis of marginal summary statistics—Part II: High‐dimensional instrumental analysis of omics data |
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| Interpreting disease genome‐wide association studies and polygenetic risk scores given eligibility and study design considerations |
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| Issue Information |
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| Identifying genes associated with disease outcomes using joint sparse canonical correlation analysis—An application in renal clear cell carcinoma |
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| Identifying somatic fingerprints of cancers defined by germline and environmental risk factors |
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| Meta‐analysis of breast cancer risk for individuals with PALB2 pathogenic variants |
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| A novel application of data‐consistent inversion to overcome spurious inference in genome‐wide association studies |
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| Shared genetic risk between major orofacial cleft phenotypes in an African population |
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African |
| Structured testing of genetic association with mixed clinical outcomes |
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| Hierarchical joint analysis of marginal summary statistics<b>—</b>Part I: Multipopulation fine mapping and credible set construction |
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| OSCAA: A two‐dimensional Gaussian mixture model for copy number variation association analysis |
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| Breast and bowel cancers diagnosed in people ‘too young to have cancer’: A blueprint for research using family and twin studies |
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| Issue Information |
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| Using parent‐offspring pairs and trios to estimate indirect genetic effects in education |
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| Are trait‐associated genes clustered together in a gene network? |
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| Causation and familial confounding as explanations for the associations of polygenic risk scores with breast cancer: Evidence from innovative ICE FALCON and ICE CRISTAL analyses |
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| Unveiling challenges in Mendelian randomization for gene–environment interaction |
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| Issue Information |
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| Robust use of phenotypic heterogeneity at drug target genes for mechanistic insights: Application of <i>cis</i>‐multivariable Mendelian randomization to <i>GLP1R</i> gene region |
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| Making sense of breast cancer risk estimates |
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| Revealing genomic heterogeneity and commonality: A penalized integrative analysis approach accounting for the adjacency structure of measurements |
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| Gene‐based association tests in family samples using GWAS summary statistics |
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| Mitigating type 1 error inflation and power loss in GxE PRS: Genotype–environment interaction in polygenic risk score models |
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| Interval estimate of causal effect in summary data based Mendelian randomization in the presence of winner's curse |
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| simmrd: An open‐source tool to perform simulations in Mendelian randomization |
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| Issue Information |
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