Genetic Epidemiology

Papers
(The median citation count of Genetic Epidemiology is 0. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Bias correction for inverse variance weighting Mendelian randomization116
Statistical methods for cis‐Mendelian randomization with two‐sample summary‐level data41
The X factor: A robust and powerful approach to X‐chromosome‐inclusive whole‐genome association studies35
Mendelian randomisation with coarsened exposures17
Including diverse and admixed populations in genetic epidemiology research16
Genetic heterogeneity: Challenges, impacts, and methods through an associative lens15
A robust two‐sample transcriptome‐wide Mendelian randomization method integrating GWAS with multi‐tissue eQTL summary statistics15
FAT4 identified as a potential modifier of orofacial cleft laterality15
Caution against examining the role of reverse causality in Mendelian Randomization14
Post hoc power is not informative14
Genome‐wide association studies of 27 accelerometry‐derived physical activity measurements identified novel loci and genetic mechanisms12
Genome‐wide association analysis of serum alanine and aspartate aminotransferase, and the modifying effects of BMI in 388k European individuals12
Genome‐wide association analysis of COVID‐19 mortality risk in SARS‐CoV‐2 genomes identifies mutation in the SARS‐CoV‐2 spike protein that colocalizes with P.1 of the Brazilian strain12
Testing and estimation of X‐chromosome SNP effects: Impact of model assumptions12
Adjusting for collider bias in genetic association studies using instrumental variable methods11
Multitrait transcriptome‐wide association study (TWAS) tests10
Multi‐tissue transcriptome‐wide association studies10
Novel score test to increase power in association test by integrating external controls9
Inverse probability weighting is an effective method to address selection bias during the analysis of high dimensional data9
Assumptions about frequency‐dependent architectures of complex traits bias measures of functional enrichment9
The influence of unmeasured confounding on the MR Steiger approach9
Incorporating European GWAS findings improve polygenic risk prediction accuracy of breast cancer among East Asians8
Disentangling the effects of traits with shared clustered genetic predictors using multivariable Mendelian randomization8
A novel Mendelian randomization method with binary risk factor and outcome7
Taking population stratification into account by local permutations in rare‐variant association studies on small samples7
Comparison of genetic risk prediction models to improve prediction of coronary heart disease in two large cohorts of the MONICA/KORA study7
Statistical power of transcriptome‐wide association studies7
InTACT: An adaptive and powerful framework for joint‐tissue transcriptome‐wide association studies6
Genome‐wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores6
Genome‐wide association study of multiethnic nonsyndromic orofacial cleft families identifies novel loci specific to family and phenotypic subtypes6
Novel HLA associations with outcomes of Mycobacterium tuberculosis exposure and sarcoidosis in individuals of African ancestry using nearest‐neighbor feature selection6
Improved two‐step testing of genome‐wide gene–environment interactions6
Statistical learning for sparser fine‐mapped polygenic models: The prediction of LDL‐cholesterol5
Statistical methods with exhaustive search in the identification of gene–gene interactions for colorectal cancer5
A two‐sample robust Bayesian Mendelian Randomization method accounting for linkage disequilibrium and idiosyncratic pleiotropy with applications to the COVID‐19 outcomes5
Robust estimates of heritable coronary disease risk in individuals with type 2 diabetes5
Evaluation of polygenic risk scores to differentiate between type 1 and type 2 diabetes4
Interaction between genetics and smoking in determining risk of coronary artery diseases4
Weak and pleiotropy robust sex‐stratified Mendelian randomization in the one sample and two sample settings4
The eigen higher criticism and eigen Berk–Jones tests for multiple trait association studies based on GWAS summary statistics4
Clarifying the causes of consistent and inconsistent findings in genetics4
Block coordinate descent algorithm improves variable selection and estimation in error‐in‐variables regression4
Penalized linear mixed models for structured genetic data4
Gene–environment interaction analysis via deep learning4
A novel transcriptional risk score for risk prediction of complex human diseases4
Methods for large‐scale single mediator hypothesis testing: Possible choices and comparisons4
Unsupervised cluster analysis of SARS‐CoV‐2 genomes reflects its geographic progression and identifies distinct genetic subgroups of SARS‐CoV‐2 virus4
Random effect based tests for multinomial logistic regression in genetic association studies3
The utility of the Laplace effect size prior distribution in Bayesian fine‐mapping studies3
Sparse group variable selection for gene–environment interactions in the longitudinal study3
A large‐scale transcriptome‐wide association study (TWAS) of 10 blood cell phenotypes reveals complexities of TWAS fine‐mapping3
Penalized mediation models for multivariate data3
Joint analysis of multiple phenotypes for extremely unbalanced case‐control association studies3
Gene‐level association analysis of ordinal traits with functional ordinal logistic regressions3
Statistical methods for Mendelian models with multiple genes and cancers3
Deep learning identified genetic variants for COVID‐19‐related mortality among 28,097 affected cases in UK Biobank3
Efficient identification of trait‐associated loss‐of‐function variants in the UK Biobank cohort by exome‐sequencing based genotype imputation3
Exploring polygenic‐environment and residual‐environment interactions for depressive symptoms within the UK Biobank3
Covariate adjusted inference of parent‐of‐origin effects using case–control mother–child paired multilocus genotype data3
Investigating the prediction of CpG methylation levels from SNP genotype data to help elucidate relationships between methylation, gene expression and complex traits2
Integrating external controls in case–control studies improves power for rare‐variant tests2
Robust use of phenotypic heterogeneity at drug target genes for mechanistic insights: Application of cis‐multivariable Mendelian randomization to GLP1R gene region2
A fast linkage method for population GWAS cohorts with related individuals2
Evaluation of saliva as a source of accurate whole‐genome and microbiome sequencing data2
Gene‐environment interaction in type 2 diabetes in Korean cohorts: Interaction of a type 2 diabetes polygenic risk score with triglyceride and cholesterol on fasting glucose levels2
Exome sequence association study of levels and longitudinal change of cardiovascular risk factor phenotypes in European Americans and African Americans from the Atherosclerosis Risk in Communities Stu2
2
Meta‐analysis of breast cancer risk for individuals with PALB2 pathogenic variants2
Multi‐marker genetic association and interaction tests with interval‐censored survival outcomes2
Variant‐set association test for generalized linear mixed model2
Assisted estimation of gene expression graphical models2
Deconvolution analysis of cell‐type expression from bulk tissues by integrating with single‐cell expression reference2
Mediation analysis of multiple mediators with incomplete omics data1
Identifying genes associated with disease outcomes using joint sparse canonical correlation analysis—An application in renal clear cell carcinoma1
Phenotypic variance partitioning by transcriptomic gene expression levels and environmental variables for anthropometric traits using GTEx data1
A Bayesian hierarchically structured prior for gene‐based association testing with multiple traits in genome‐wide association studies1
The Translational Machine: A novel machine‐learning approach to illuminate complex genetic architectures1
Gene‐based analysis of bi‐variate survival traits via functional regressions with applications to eye diseases1
A Bayesian hierarchical model for improving measurement of 5mC and 5hmC levels: Toward revealing associations between phenotypes and methylation states1
An empirical Bayes approach to improving population‐specific genetic association estimation by leveraging cross‐population data1
Abstracts1
REHE: Fast variance components estimation for linear mixed models1
Benchmarking statistical methods for analyzing parent–child dyads in genetic association studies1
MR‐BOIL: Causal inference in one‐sample Mendelian randomization for binary outcome with integrated likelihood method1
A gene‐based association test of interactions for maternal–fetal genotypes identifies genes associated with nonsyndromic congenital heart defects1
RAVAQ: An integrative pipeline from quality control to region‐based rare variant association analysis1
1
Sparse prediction informed by genetic annotations using the logit normal prior for Bayesian regression tree ensembles1
Identifying genetic risk variants associated with brain volumetric phenotypes via K‐sample Ball Divergence method1
Effect of case and control definitions on genome‐wide association study (GWAS) findings1
1
Gene‐level association analysis of bivariate ordinal traits with functional regressions1
Secondary analyses for genome‐wide association studies using expression quantitative trait loci1
1
Haplotype reconstruction for genetically complex regions with ambiguous genotype calls: Illustration by the KIR gene region1
New proposal to address mediation analysis interrogations by using genetic variants as instrumental variables1
RoPE: A robust profile likelihood method for differential gene expression analysis1
1
A Bayesian hierarchically structured prior for rare‐variant association testing1
Mendelian randomization in the multivariate general linear model framework1
A unified linear mixed model for familial relatedness and population structure in genetic association studies1
Issue Information0
0
A Mixed‐Effect Kernel Machine Regression Model for Integrative Analysis of Alpha Diversity in Microbiome Studies0
Identifying somatic fingerprints of cancers defined by germline and environmental risk factors0
Integrative Multi‐Omics Approach for Improving Causal Gene Identification0
0
Adaptive Bayesian variable clustering via structural learning of breast cancer data0
Exploring and Accounting for Genetically Driven Effect Heterogeneity in Mendelian Randomization0
A novel application of data‐consistent inversion to overcome spurious inference in genome‐wide association studies0
Polygenic hazard score models for the prediction of Alzheimer's free survival using the lasso for Cox's proportional hazards model0
0
PSAP‐Genomic‐Regions: A Method Leveraging Population Data to Prioritize Coding and Non‐Coding Variants in Whole Genome Sequencing for Rare Disease Diagnosis0
Exploring pleiotropy in Mendelian randomisation analyses: What are genetic variants associated with ‘cigarette smoking initiation’ really capturing?0
Issue Information0
Selection bias when inferring the effect direction in Mendelian randomization0
Issue Information0
0
0
0
Using clustering of genetic variants in Mendelian randomization to interrogate the causal pathways underlying multimorbidity from a common risk factor0
Multivariate analysis of a missense variant in CREBRF reveals associations with measures of adiposity in people of Polynesian ancestries0
Issue Information0
The sequence kernel association test for multicategorical outcomes0
Issue Information0
0
Limitation of permutation‐based differential correlation analysis0
Comparison of regmed and BayesNetty for exploring causal models with many variables0
Issue Information0
Inference of causal metabolite networks in the presence of invalid instrumental variables with GWAS summary data0
Breast and bowel cancers diagnosed in people ‘too young to have cancer’: A blueprint for research using family and twin studies0
Bayesian multivariant fine mapping using the Laplace prior0
DYNATE: Localizing rare‐variant association regions via multiple testing embedded in an aggregation tree0
Issue Information0
0
Statistics to prioritize rare variants in family‐based sequencing studies with disease subtypes0
0
Enhancing Gene Expression Predictions Using Deep Learning and Functional Annotations0
Using parent‐offspring pairs and trios to estimate indirect genetic effects in education0
Issue Information0
Issue Information0
0
Predicting Lung Cancer in Korean Never‐Smokers With Polygenic Risk Scores0
Proteome‐wide association study using cis and trans variants and applied to blood cell and lipid‐related traits in the Women's Health Initiative study0
An exploration of linkage fine‐mapping on sequences from case‐control studies0
Issue Information0
Shared genetic risk between major orofacial cleft phenotypes in an African population0
Making sense of breast cancer risk estimates0
Abstracts0
Use of genetic correlations to examine selection bias0
Issue Information0
Fine‐Mapping the Results From Genome‐Wide Association Studies of Primary Biliary Cholangitis Using Susie and h2‐D20
0
Revealing genomic heterogeneity and commonality: A penalized integrative analysis approach accounting for the adjacency structure of measurements0
0
Interpreting disease genome‐wide association studies and polygenetic risk scores given eligibility and study design considerations0
0
Precisely modeling zero‐inflated count phenotype for rare variants0
Structured testing of genetic association with mixed clinical outcomes0
Issue Information0
Issue Information0
Abstracts0
Issue Information0
0
Issue Information0
Statistical methods to detect mother–father genetic interaction effects on risk of infertility: A genome‐wide approach0
Bias and mean squared error in Mendelian randomization with invalid instrumental variables0
Genetic Associations of Persistent Opioid Use After Surgery Point to OPRM1 but Not Other Opioid‐Related Loci as the Main Driver of Opioid Use Disorder0
Issue Information0
0
Hierarchical joint analysis of marginal summary statistics—Part II: High‐dimensional instrumental analysis of omics data0
Issue Information0
Issue Information0
Gene‐based association tests in family samples using GWAS summary statistics0
Issue Information0
Are trait‐associated genes clustered together in a gene network?0
Issue Information0
0
Issue Information0
0
Study of effect modifiers of genetically predicted CETP reduction0
Correction to “Abstracts”0
0
GWASBrewer: An R Package for Simulating Realistic GWAS Summary Statistics0
Estimating Causal Effects on a Disease Progression Trait Using Bivariate Mendelian Randomisation0
Issue Information0
A Brief History behind the journal Genetic Epidemiology and the International Genetic Epidemiology Society0
Comparing Ancestry Standardization Approaches for a Transancestry Colorectal Cancer Polygenic Risk Score0
Issue Information0
Powerful Rare‐Variant Association Analysis of Secondary Phenotypes0
OSCAA: A two‐dimensional Gaussian mixture model for copy number variation association analysis0
0
Issue Information0
Issue Information0
Interval estimate of causal effect in summary data based Mendelian randomization in the presence of winner's curse0
Hierarchical joint analysis of marginal summary statisticsPart I: Multipopulation fine mapping and credible set construction0
Fast and accurate recurrent event analysis for genome‐wide association studies0
ioSearch: An approach for identifying interacting multiomics biomarkers using a novel algorithm with application on breast cancer data sets0
Collider bias from selecting disease samples distorts causal inferences0
Issue Information0
Assisted differential network analysis for gene expression data0
Control for population stratification in genetic association studies based on GWAS summary statistics0
Sensitivity analyses gain relevance by fixing parameters observable during the empirical analyses0
Data‐adaptive and pathway‐based tests for association studies between somatic mutations and germline variations in human cancers0
Issue Information0
0
Mitigating type 1 error inflation and power loss in GxE PRS: Genotype–environment interaction in polygenic risk score models0
Unveiling challenges in Mendelian randomization for gene–environment interaction0
Issue Information0
0
Causation and familial confounding as explanations for the associations of polygenic risk scores with breast cancer: Evidence from innovative ICE FALCON and ICE CRISTAL analyses0
0
Ethical, Legal, and Social Implications of Gene‐Environment Interaction Research0
Issue Information0
Analysis of parent‐of‐origin effects for secondary phenotypes using case–control mother–child pair data0
0
simmrd: An open‐source tool to perform simulations in Mendelian randomization0
0
Ravages: An R package for the simulation and analysis of rare variants in multicategory phenotypes0
0.064491033554077