Genetic Epidemiology

Papers
(The TQCC of Genetic Epidemiology is 2. 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 2021-02-01 to 2025-02-01.)
ArticleCitations
Issue Information134
Revealing genomic heterogeneity and commonality: A penalized integrative analysis approach accounting for the adjacency structure of measurements54
35
Ethical, Legal, and Social Implications of Gene‐Environment Interaction Research18
PSAP‐Genomic‐Regions: A Method Leveraging Population Data to Prioritize Coding and Non‐Coding Variants in Whole Genome Sequencing for Rare Disease Diagnosis17
Powerful Rare‐Variant Association Analysis of Secondary Phenotypes16
Bayesian Effect Size Ranking to Prioritise Genetic Risk Variants in Common Diseases for Follow‐Up Studies16
Adaptive Bayesian variable clustering via structural learning of breast cancer data15
Comparison of genetic risk prediction models to improve prediction of coronary heart disease in two large cohorts of the MONICA/KORA study15
A gene‐based association test of interactions for maternal–fetal genotypes identifies genes associated with nonsyndromic congenital heart defects14
Issue Information14
A Brief History behind the journal Genetic Epidemiology and the International Genetic Epidemiology Society14
Are trait‐associated genes clustered together in a gene network?12
Statistics to prioritize rare variants in family‐based sequencing studies with disease subtypes12
Issue Information12
Issue Information10
A novel Mendelian randomization method with binary risk factor and outcome9
Ravages: An R package for the simulation and analysis of rare variants in multicategory phenotypes9
9
The Translational Machine: A novel machine‐learning approach to illuminate complex genetic architectures8
Evaluation of saliva as a source of accurate whole‐genome and microbiome sequencing data8
The influence of unmeasured confounding on the MR Steiger approach8
7
Using parent‐offspring pairs and trios to estimate indirect genetic effects in education7
Inverse probability weighting is an effective method to address selection bias during the analysis of high dimensional data7
Gene‐level association analysis of ordinal traits with functional ordinal logistic regressions7
Deconvolution analysis of cell‐type expression from bulk tissues by integrating with single‐cell expression reference6
A Bayesian hierarchically structured prior for gene‐based association testing with multiple traits in genome‐wide association studies6
6
Mendelian randomisation with coarsened exposures6
Disentangling the effects of traits with shared clustered genetic predictors using multivariable Mendelian randomization5
New proposal to address mediation analysis interrogations by using genetic variants as instrumental variables5
Sparse group variable selection for gene–environment interactions in the longitudinal study5
5
Identifying somatic fingerprints of cancers defined by germline and environmental risk factors4
MR‐BOIL: Causal inference in one‐sample Mendelian randomization for binary outcome with integrated likelihood method4
Haplotype reconstruction for genetically complex regions with ambiguous genotype calls: Illustration by the KIR gene region4
Meta‐analysis of breast cancer risk for individuals with PALB2 pathogenic variants4
Abstracts4
DYNATE: Localizing rare‐variant association regions via multiple testing embedded in an aggregation tree4
Genome‐wide association analysis of serum alanine and aspartate aminotransferase, and the modifying effects of BMI in 388k European individuals4
Issue Information4
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Including diverse and admixed populations in genetic epidemiology research3
Bias and mean squared error in Mendelian randomization with invalid instrumental variables3
The sequence kernel association test for multicategorical outcomes3
Issue Information3
Inference of causal metabolite networks in the presence of invalid instrumental variables with GWAS summary data3
The eigen higher criticism and eigen Berk–Jones tests for multiple trait association studies based on GWAS summary statistics3
Assisted differential network analysis for gene expression data3
3
Mitigating type 1 error inflation and power loss in GxE PRS: Genotype–environment interaction in polygenic risk score models3
Phenotypic variance partitioning by transcriptomic gene expression levels and environmental variables for anthropometric traits using GTEx data3
3
Exploring polygenic‐environment and residual‐environment interactions for depressive symptoms within the UK Biobank2
A two‐sample robust Bayesian Mendelian Randomization method accounting for linkage disequilibrium and idiosyncratic pleiotropy with applications to the COVID‐19 outcomes2
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 strain2
Interpreting disease genome‐wide association studies and polygenetic risk scores given eligibility and study design considerations2
2
Fast and accurate recurrent event analysis for genome‐wide association studies2
FAT4 identified as a potential modifier of orofacial cleft laterality2
Adjusting for collider bias in genetic association studies using instrumental variable methods2
Identifying genes associated with disease outcomes using joint sparse canonical correlation analysis—An application in renal clear cell carcinoma2
Benchmarking statistical methods for analyzing parent–child dyads in genetic association studies2
2
Shared genetic risk between major orofacial cleft phenotypes in an African population2
Statistical power of transcriptome‐wide association studies2
Testing and estimation of X‐chromosome SNP effects: Impact of model assumptions2
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