Genetics

Integrating GWAS summary statistics, individual-level genotypic and omic data to enhance the performance for large-scale trait imputation

J. Ren et. al, Human Molecular Genetics, 2023
Genetics

Leveraging omics data to boost the power of genome-wide association studies

Z. Lin et. al, Human Genetics and Genomics Advances, 2022
Genetics, Diabetes

Recessive Genome-Wide Meta-analysis Illuminates Genetic Architecture of Type 2 Diabetes

M. O’Connor et. al, Diabetes, 2021
Genetics

Systematic evaluation for the causal effects of blood metabolites on osteoporosis: Genetic risk score and Mendelian randomization

X. Yu et. al, Frontiers in Public Health, 2022
Ageing & dementia

APOE4poses opposite effects of plasma LDL on white matter integrity in older adults

Z. Ye et. al, 2023
Cardiovascular disease, Risk prediction

Predictive value of metabolic profiling in cardiovascular risk scores: analysis of 75 000 adults in UK Biobank

D. Jin et. al, Journal of Epidemiology and Community Health, 2023
Genetics

Investigating the impact of metabolic syndrome traits on telomere length: a Mendelian randomization study

N. Loh et. al, Obesity, 2023
Exposome & nutrition, Risk prediction, Cardiovascular disease

Association of Fish Oil Supplementation with Risk of Coronary Heart Disease in Individuals with Diabetes and Prediabetes: A Prospective Study in the UK Biobank

X. Liu et. al, Nutrients, 2023
Maternal & child health

Using Mendelian Randomisation to Prioritise Candidate Maternal Metabolic Traits Influencing Offspring Birthweight

C. Barry et. al, Metabolites, 2022
Psychiatric disorders

Cognition, psychosis risk and metabolic measures in two adolescent birth cohorts

H. Ramsay et. al, Psychological Medicine, 2018
Kidney disease

Genome-wide characterization of 54 urinary metabolites reveals molecular impact of kidney function

E. Valo et. al, 2023
Exposome & nutrition

High intake of vegetables is linked to lower white blood cell profile and the effect is mediated by the gut microbiome

C. Menni et. al, BMC Medicine, 2021
Risk prediction

Machine learning to determine relative contribution of modifiable and non-modifiable risk factors of major eye diseases

S. Nusinovici et. al, British Journal of Ophthalmology, 2020
Ageing & dementia

Relationships between Lipid-Related Metabolites and Age-Related Macular Degeneration Vary with Complement Genotype

R. Sim et. al, Ophthalmology Science, 2022
Genetics

High-Density Lipoprotein 3 Cholesterol and Primary Open-Angle Glaucoma

S. Nusinovici et. al, Ophthalmology, 2021