Frank Dudbridge

Identifying genetic variants causal for multiple long-term conditions: informing opportunities for intervention and prevention

This study identifies genetic variants causal for multiple long-term conditions, revealing shared biological pathways and potential drug targets while highlighting adverse effects of interventions.

Genome-wide association studies identify shared mechanisms between hypertension and type 2 diabetes independent of adiposity

A systematic analysis of the contribution of genetics to multimorbidity and comparisons with primary care data

This study integrates primary care and genetic data to identify multimorbidity patterns and shared genetics across 72 chronic conditions, revealing both concordant and discordant relationships.

Distinct genetic liability profiles define clinically relevant patient strata across common diseases

The paper identifies genetically distinct patient subgroups across diseases by analyzing polygenic risk and pathway convergence.

Genome-wide association meta-analysis of age at onset of walking

This paper conducts a genome-wide association meta-analysis of age at onset of walking, identifying 11 loci and showing genetic correlations with ADHD, BMI, intelligence, and brain structure.

Could Metformin use reduce abdominal aortic aneurysm risk? A Mendelian randomisation study using known Metformin targets

This study uses Mendelian randomisation to investigate a causal link between Metformin use and reduced abdominal aortic aneurysm risk, finding a statistically significant association.

Using brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia

The paper uses brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia and identifies enriched networks and genes associated with the disease.

DeepPheWAS: an R package for phenotype generation and association analysis for phenome-wide association studies.

DeepPheWAS creates composite phenotypes and performs association analysis for phenome-wide studies using genetic inputs and various models.

Incorporating discovery and replication GWAS into summary data Mendelian randomization studies: A review of current methods and a simple, general and powerful alternative

The paper reviews current methods for Mendelian randomization and proposes a regression calibration approach to correct for bias in causal effect estimates using GWAS summary data.

Mapping genomic loci prioritises genes and implicates synaptic biology in schizophrenia

A genome-wide association study of 69,369 schizophrenia cases and 236,642 controls identifies 270 risk loci, prioritizes 130 genes, and links common and rare risk variants to neuronal synaptic biology.

Sex-Dependent Shared and Non-Shared Genetic Architecture Across Mood and Psychotic Disorders

This study identifies sex-dependent genetic risk loci shared and specific to mood and psychotic disorders using genome-wide interaction analysis.

Smoking Interaction with a Polygenic Risk Score for Reduced Lung Function

This study investigates whether smoking modifies the effect of a polygenic risk score on reduced lung function, finding significant gene-by-smoking interactions in FEV1/FVC.

Genetic overlap and causal associations between smoking behaviours and psychiatric traits and disorders in adolescents and adults

This study examines genetic overlap and causal links between smoking behaviors and psychiatric traits in adolescents and adults, finding significant genetic correlations and causal associations.

Genetic sensitivity analysis: adjusting for genetic confounding in epidemiological associations

The paper quantifies genetic confounding in epidemiological associations between maternal education and child outcomes, showing significant attenuation when adjusting for polygenic scores and heritability estimates.

A comparison of ten polygenic score methods for psychiatric disorders applied across multiple cohorts

The paper compares ten polygenic score methods for psychiatric disorders across multiple cohorts, finding that some methods significantly improve prediction statistics over the baseline PC+T method.

Genetic nurture effects on education: a systematic review and meta-analysis

This paper quantifies genetic nurture effects on educational outcomes, finding they are about half the size of direct genetic effects and largely explained by socioeconomic factors.

Association of polygenic risk scores for coronary artery disease with subsequent events amongst established cases

This study evaluates how polygenic risk scores for coronary artery disease (CAD) relate to future events in individuals with and without CAD, finding attenuated or inverse associations in established cases.

Genetic overlap between psychotic experiences in the community across age and with psychiatric disorders

This study examines genetic correlations between psychotic experiences across age and with psychiatric disorders, finding significant overlaps with schizophrenia and depression.

Slope-Hunter: A robust method for index-event bias correction in genome-wide association studies of subsequent traits

Slope-Hunter corrects index-event bias in GWAS of subsequent traits by identifying and adjusting for genetic variants affecting only incidence, improving statistical performance in the presence of genetic correlation.

Use of polygenic risk scores and other molecular markers to enhance cardiovascular risk prediction: Prospective cohort study and modelling analysis

This study evaluates how adding polygenic risk scores and clinical biochemistry markers to conventional CVD risk models improves prediction accuracy and informs statin therapy decisions in a UK primary care setting.

New genetic signals for lung function highlight pathways and pleiotropy, and chronic obstructive pulmonary disease associations across multiple ancestries

The paper identifies 279 new genetic signals for lung function across multiple ancestries, showing associations with COPD and pleiotropic effects.

Age at first birth in women is genetically associated with increased risk of schizophrenia

The paper finds a genetic association between schizophrenia risk and age at first birth in women, with different genetic correlations in younger and older age groups.

Estimation of genetic correlation using linkage disequilibrium score regression and genomic restricted maximum likelihood

This study compares LDSC and GREML methods for estimating genetic correlation, showing GREML provides higher accuracy, especially in the presence of genetic heterogeneity.

Genome-wide analysis of adolescent psychotic experiences shows genetic overlap with psychiatric disorders

This study finds genetic overlap between adolescent psychotic experiences and schizophrenia, bipolar disorder, and major depression using polygenic risk scores and genome-wide association analyses.

Causal Analyses, Statistical Efficiency And Phenotypic Precision Through Recall-By-Genotype Study Design

This paper introduces the Recall-by-Genotype study design to improve causal inference in genetic studies through genotype-directed deep-phenotyping.

Genomic risk prediction of coronary artery disease in nearly 500,000 adults: implications for early screening and primary prevention

This paper develops a genomic risk score for coronary artery disease using 1.7 million variants and tests it in UK Biobank, showing it outperforms conventional risk factors in predicting CAD risk.