| Multi‐tissue transcriptome‐wide association studies |
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| Statistical methods with exhaustive search in the identification of gene–gene interactions for colorectal cancer |
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| A unified linear mixed model for familial relatedness and population structure in genetic association studies |
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| Novel score test to increase power in association test by integrating external controls |
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| Issue Information |
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| Rare variants association testing for a binary outcome when pooling individual level data from heterogeneous studies |
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European and African ancestries |
| An exploration of genetic association tests for disease risk and age at onset |
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| On the application, reporting, and sharing of in silico simulations for genetic studies |
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| MF‐TOWmuT: Testing an optimally weighted combination of common and rare variants with multiple traits using family data |
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| JEM: A joint test to estimate the effect of multiple genetic variants on DNA methylation |
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| Variation in cancer risk among families with genetic susceptibility |
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| Detecting rare copy number variants from Illumina genotyping arrays with the CamCNV pipeline: Segmentation of <i>z</i>‐scores improves detection and reliability |
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| Statistical approaches for meta‐analysis of genetic mutation prevalence |
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| Innovative approach to identify multigenomic and environmental interactions associated with birth defects in family‐based hybrid designs |
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| Mendelian randomization analysis with survival outcomes |
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| Integrative genomic analysis in African American children with asthma finds three novel loci associated with lung function |
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African Americans; Study of African Americans, Asthma, Genes, and Environment; locus-specific geneti |
| TWO‐SIGMA: A novel two‐component single cell model‐based association method for single‐cell RNA‐seq data |
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| Set‐based genetic association and interaction tests for survival outcomes based on weighted V statistics |
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| locStra: Fast analysis of regional/global stratification in whole‐genome sequencing studies |
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| Issue Information |
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| Cover Image |
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| Loci identified by a genome‐wide association study of carotid artery stenosis in the eMERGE network |
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| Fine‐mapping and QTL tissue‐sharing information improves the reliability of causal gene identification |
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| A comprehensive genetic and epidemiological association analysis of vitamin D with common diseases/traits in the UK Biobank |
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326,409 UK Biobank (UKBB) Europeans. |
| Integration of multiomic annotation data to prioritize and characterize inflammation and immune‐related risk variants in squamous cell lung cancer |
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| Exploring gene–gene interaction in family‐based data with an unsupervised machine learning method: EPISFA |
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| Efficient gene–environment interaction tests for large biobank‐scale sequencing studies |
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| Detecting X‐linked common and rare variant effects in family‐based sequencing studies |
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| Supervariants identification for breast cancer |
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| Dissecting the genetic overlap of smoking behaviors, lung cancer, and chronic obstructive pulmonary disease: A focus on nicotinic receptors and nicotine metabolizing enzyme |
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| Issue Information |
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| Joint testing of donor and recipient genetic matching scores and recipient genotype has robust power for finding genes associated with transplant outcomes |
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genetic ancestry distance |
| Estimating the effects of copy‐number variants on intelligence using hierarchical Bayesian models |
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| Polygenic modelling of treatment effect heterogeneity |
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| A framework for pathway knowledge driven prioritization in genome‐wide association studies |
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| Incorporating multiple sets of eQTL weights into gene‐by‐environment interaction analysis identifies novel susceptibility loci for pancreatic cancer |
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| Chances and challenges of machine learning‐based disease classification in genetic association studies illustrated on age‐related macular degeneration |
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| Evaluating shared genetic influences on nonsyndromic cleft lip/palate and oropharyngeal neoplasms |
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European ancestry |
| Penalized variance components for association of multiple genes with traits |
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| An enhanced machine learning tool for <i>cis</i>‐eQTL mapping with regularization and confounder adjustments |
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| A general framework for integrative analysis of incomplete multiomics data |
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| A principal component approach to improve association testing with polygenic risk scores |
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| SNP‐HLA Reference Consortium (SHLARC): HLA and SNP data sharing for promoting MHC‐centric analyses in genomics |
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African-ancestry Populations in the Americas; African American models; population-matching |
| Statistical considerations for the analysis of massively parallel reporter assays data |
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| Leveraging existing GWAS summary data of genetically correlated and uncorrelated traits to improve power for a new GWAS |
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| Colorectal cancer risk based on extended family history and body mass index |
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| Shared genomic segment analysis with equivalence testing |
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| Evaluation of population stratification adjustment using genome‐wide or exonic variants |
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| Truncated tests for combining evidence of summary statistics |
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Finnish population |
| Group analysis of distance matrices |
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| Validating the doubly weighted genetic risk score for the prediction of type 2 diabetes in the Lifelines and Estonian Biobank cohorts |
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| Issue Information |
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| Sequencing and imputation in GWAS: Cost‐effective strategies to increase power and genomic coverage across diverse populations |
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European population isolates (Sardinians and Finns) |
| Practical implementation of frailty models in Mendelian risk prediction |
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| Assessing exposure effects on gene expression |
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| Power loss due to testing association between covariate‐adjusted traits and genetic variants |
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| The 2020 Annual Meeting of the International Genetic Epidemiology Society |
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| Issue Information |
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| A fast and powerful eQTL weighted method to detect genes associated with complex trait using GWAS summary data |
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| Penalized models for analysis of multiple mediators |
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| A comparison of robust Mendelian randomization methods using summary data |
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| Gene‐based and pathway‐based testing for rare‐variant association in affected sib pairs |
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| Identifying blood pressure loci whose effects are modulated by multiple lifestyle exposures |
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| Intermediate confounding in trio relationships: The importance of complete data in effect size estimation |
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| Effective SNP ranking improves the performance of eQTL mapping |
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| Investigation of prediction accuracy and the impact of sample size, ancestry, and tissue in transcriptome‐wide association studies |
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ancestry; across ancestries; ethnicities; multiple ethnicities |
| The effects of misspecification of the mediator and outcome in mediation analysis |
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| Issue Information |
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| Transcriptome‐wide association study of breast cancer risk by estrogen‐receptor status |
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| Convex combination sequence kernel association test for rare‐variant studies |
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| Quantifying posterior effect size distribution of susceptibility loci by common summary statistics |
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| Issue Information |
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| Genome‐wide interaction study of single‐nucleotide polymorphisms and alcohol consumption on blood pressure: The Ansan and Ansung study of the Korean Genome and Epidemiology Study (KoGES) |
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| Power calculation for the general two‐sample Mendelian randomization analysis |
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| Incorporating external information to improve sparse signal detection in rare‐variant gene‐set‐based analyses |
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| PANDA: Prioritization of autism‐genes using network‐based deep‐learning approach |
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| The impact on estimations of genetic correlations by the use of super‐normal, unscreened, and family‐history screened controls in genome wide case–control studies |
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| Genetic effect estimates in case‐control studies when a continuous variable is omitted from the model |
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| Cover Image |
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| Back Cover Image |
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| Issue Information |
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| Robust kernel association testing (RobKAT) |
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| At the interface |
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| Polygenic risk scores outperform machine learning methods in predicting coronary artery disease status |
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