OOIR: Observatory of International Research

Papers

(The TQCC of Genetic Epidemiology is 3. 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.)

Article	Citations
Bias correction for inverse variance weighting Mendelian randomization	116
Statistical methods for cis‐Mendelian randomization with two‐sample summary‐level data	41
The X factor: A robust and powerful approach to X‐chromosome‐inclusive whole‐genome association studies	35
Mendelian randomisation with coarsened exposures	17
Including diverse and admixed populations in genetic epidemiology research	16
Genetic heterogeneity: Challenges, impacts, and methods through an associative lens	15
A robust two‐sample transcriptome‐wide Mendelian randomization method integrating GWAS with multi‐tissue eQTL summary statistics	15
FAT4 identified as a potential modifier of orofacial cleft laterality	15
Caution against examining the role of reverse causality in Mendelian Randomization	14
Post hoc power is not informative	14
Genome‐wide association analysis of serum alanine and aspartate aminotransferase, and the modifying effects of BMI in 388k European individuals	12
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 strain	12
Testing and estimation of X‐chromosome SNP effects: Impact of model assumptions	12
Genome‐wide association studies of 27 accelerometry‐derived physical activity measurements identified novel loci and genetic mechanisms	12
Adjusting for collider bias in genetic association studies using instrumental variable methods	11
Multi‐tissue transcriptome‐wide association studies	10
Multitrait transcriptome‐wide association study (TWAS) tests	10
Inverse probability weighting is an effective method to address selection bias during the analysis of high dimensional data	9
Assumptions about frequency‐dependent architectures of complex traits bias measures of functional enrichment	9
The influence of unmeasured confounding on the MR Steiger approach	9
Novel score test to increase power in association test by integrating external controls	9
Disentangling the effects of traits with shared clustered genetic predictors using multivariable Mendelian randomization	8
Incorporating European GWAS findings improve polygenic risk prediction accuracy of breast cancer among East Asians	8
A novel Mendelian randomization method with binary risk factor and outcome	7
Taking population stratification into account by local permutations in rare‐variant association studies on small samples	7

Comparison of genetic risk prediction models to improve prediction of coronary heart disease in two large cohorts of the MONICA/KORA study	7
Statistical power of transcriptome‐wide association studies	7
InTACT: An adaptive and powerful framework for joint‐tissue transcriptome‐wide association studies	6
Genome‐wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores	6
Genome‐wide association study of multiethnic nonsyndromic orofacial cleft families identifies novel loci specific to family and phenotypic subtypes	6
Novel HLA associations with outcomes of Mycobacterium tuberculosis exposure and sarcoidosis in individuals of African ancestry using nearest‐neighbor feature selection	6
Improved two‐step testing of genome‐wide gene–environment interactions	6
Statistical learning for sparser fine‐mapped polygenic models: The prediction of LDL‐cholesterol	5
Statistical methods with exhaustive search in the identification of gene–gene interactions for colorectal cancer	5
A two‐sample robust Bayesian Mendelian Randomization method accounting for linkage disequilibrium and idiosyncratic pleiotropy with applications to the COVID‐19 outcomes	5
Robust estimates of heritable coronary disease risk in individuals with type 2 diabetes	5
Interaction between genetics and smoking in determining risk of coronary artery diseases	4
Weak and pleiotropy robust sex‐stratified Mendelian randomization in the one sample and two sample settings	4
The eigen higher criticism and eigen Berk–Jones tests for multiple trait association studies based on GWAS summary statistics	4
Clarifying the causes of consistent and inconsistent findings in genetics	4
Block coordinate descent algorithm improves variable selection and estimation in error‐in‐variables regression	4
Penalized linear mixed models for structured genetic data	4
Gene–environment interaction analysis via deep learning	4
A novel transcriptional risk score for risk prediction of complex human diseases	4
Methods for large‐scale single mediator hypothesis testing: Possible choices and comparisons	4
Unsupervised cluster analysis of SARS‐CoV‐2 genomes reflects its geographic progression and identifies distinct genetic subgroups of SARS‐CoV‐2 virus	4
Evaluation of polygenic risk scores to differentiate between type 1 and type 2 diabetes	4
A large‐scale transcriptome‐wide association study (TWAS) of 10 blood cell phenotypes reveals complexities of TWAS fine‐mapping	3
Penalized mediation models for multivariate data	3
Joint analysis of multiple phenotypes for extremely unbalanced case‐control association studies	3
Gene‐level association analysis of ordinal traits with functional ordinal logistic regressions	3
Statistical methods for Mendelian models with multiple genes and cancers	3
Deep learning identified genetic variants for COVID‐19‐related mortality among 28,097 affected cases in UK Biobank	3
Efficient identification of trait‐associated loss‐of‐function variants in the UK Biobank cohort by exome‐sequencing based genotype imputation	3
Exploring polygenic‐environment and residual‐environment interactions for depressive symptoms within the UK Biobank	3
Covariate adjusted inference of parent‐of‐origin effects using case–control mother–child paired multilocus genotype data	3
Random effect based tests for multinomial logistic regression in genetic association studies	3
The utility of the Laplace effect size prior distribution in Bayesian fine‐mapping studies	3
Sparse group variable selection for gene–environment interactions in the longitudinal study	3