Genetic Epidemiology

Papers
(The TQCC of Genetic Epidemiology is 4. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
A principal component approach to improve association testing with polygenic risk scores55
Bias correction for inverse variance weighting Mendelian randomization52
The X factor: A robust and powerful approach to X‐chromosome‐inclusive whole‐genome association studies30
Sequencing and imputation in GWAS: Cost‐effective strategies to increase power and genomic coverage across diverse populations29
Fine‐mapping and QTL tissue‐sharing information improves the reliability of causal gene identification27
Statistical methods for cis‐Mendelian randomization with two‐sample summary‐level data27
A comprehensive genetic and epidemiological association analysis of vitamin D with common diseases/traits in the UK Biobank25
Mendelian randomisation with coarsened exposures15
Efficient gene–environment interaction tests for large biobank‐scale sequencing studies15
SNP‐HLA Reference Consortium (SHLARC): HLA and SNP data sharing for promoting MHC‐centric analyses in genomics15
Caution against examining the role of reverse causality in Mendelian Randomization14
FAT4 identified as a potential modifier of orofacial cleft laterality13
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 strain11
Post hoc power is not informative11
Testing and estimation of X‐chromosome SNP effects: Impact of model assumptions11
Including diverse and admixed populations in genetic epidemiology research11
Chances and challenges of machine learning‐based disease classification in genetic association studies illustrated on age‐related macular degeneration10
A robust two‐sample transcriptome‐wide Mendelian randomization method integrating GWAS with multi‐tissue eQTL summary statistics10
TWO‐SIGMA: A novel two‐component single cell model‐based association method for single‐cell RNA‐seq data10
Novel score test to increase power in association test by integrating external controls9
Genome‐wide association analysis of serum alanine and aspartate aminotransferase, and the modifying effects of BMI in 388k European individuals9
Genetic heterogeneity: Challenges, impacts, and methods through an associative lens9
Multitrait transcriptome‐wide association study (TWAS) tests9
Multi‐tissue transcriptome‐wide association studies9
A general framework for integrative analysis of incomplete multiomics data9
Incorporating European GWAS findings improve polygenic risk prediction accuracy of breast cancer among East Asians8
Truncated tests for combining evidence of summary statistics8
Dissecting the genetic overlap of smoking behaviors, lung cancer, and chronic obstructive pulmonary disease: A focus on nicotinic receptors and nicotine metabolizing enzyme8
Detecting rare copy number variants from Illumina genotyping arrays with the CamCNV pipeline: Segmentation of z‐scores improves detection and reliability8
Adjusting for collider bias in genetic association studies using instrumental variable methods8
Genome‐wide association studies of 27 accelerometry‐derived physical activity measurements identified novel loci and genetic mechanisms7
A novel Mendelian randomization method with binary risk factor and outcome7
Integration of multiomic annotation data to prioritize and characterize inflammation and immune‐related risk variants in squamous cell lung cancer7
Inverse probability weighting is an effective method to address selection bias during the analysis of high dimensional data7
locStra: Fast analysis of regional/global stratification in whole‐genome sequencing studies7
Joint testing of donor and recipient genetic matching scores and recipient genotype has robust power for finding genes associated with transplant outcomes7
Disentangling the effects of traits with shared clustered genetic predictors using multivariable Mendelian randomization7
Assumptions about frequency‐dependent architectures of complex traits bias measures of functional enrichment6
The influence of unmeasured confounding on the MR Steiger approach6
Genome‐wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores6
Polygenic modelling of treatment effect heterogeneity6
Mendelian randomization analysis with survival outcomes6
Supervariants identification for breast cancer6
Comparison of genetic risk prediction models to improve prediction of coronary heart disease in two large cohorts of the MONICA/KORA study6
InTACT: An adaptive and powerful framework for joint‐tissue transcriptome‐wide association studies5
Validating the doubly weighted genetic risk score for the prediction of type 2 diabetes in the Lifelines and Estonian Biobank cohorts5
Taking population stratification into account by local permutations in rare‐variant association studies on small samples5
Loci identified by a genome‐wide association study of carotid artery stenosis in the eMERGE network5
Group analysis of distance matrices5
Statistical methods with exhaustive search in the identification of gene–gene interactions for colorectal cancer5
Statistical power of transcriptome‐wide association studies5
Integrative genomic analysis in African American children with asthma finds three novel loci associated with lung function5
Evaluating shared genetic influences on nonsyndromic cleft lip/palate and oropharyngeal neoplasms5
Genome‐wide association study of multiethnic nonsyndromic orofacial cleft families identifies novel loci specific to family and phenotypic subtypes5
Detecting X‐linked common and rare variant effects in family‐based sequencing studies4
4
A two‐sample robust Bayesian Mendelian Randomization method accounting for linkage disequilibrium and idiosyncratic pleiotropy with applications to the COVID‐19 outcomes4
Novel HLA associations with outcomes of Mycobacterium tuberculosis exposure and sarcoidosis in individuals of African ancestry using nearest‐neighbor feature selection4
Unsupervised cluster analysis of SARS‐CoV‐2 genomes reflects its geographic progression and identifies distinct genetic subgroups of SARS‐CoV‐2 virus4
Statistical learning for sparser fine‐mapped polygenic models: The prediction of LDL‐cholesterol4
Block coordinate descent algorithm improves variable selection and estimation in error‐in‐variables regression4
Robust estimates of heritable coronary disease risk in individuals with type 2 diabetes4
Assessing exposure effects on gene expression4
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