Author
University of CambridgeORCID 0000-0002-3573-2426Unclaimed ORCID profile · follow to get notified of new preprints
6 papers
Recent·Most cited
Yu Xu, Scott C. Ritchie, Yujian Liang…·Michael Inouye
The paper develops genetic scores for 17,227 molecular traits using multi-omic data from INTERVAL and validates them across ancestries, demonstrating their utility in pathway analysis and disease association discovery.
Minna K. Karjalainen, Savita Karthikeyan, Clare Oliver‐Williams…·Johannes Kettunen
This study identifies 400+ genetic loci associated with circulating metabolic traits and highlights pleiotropy and novel disease pathways.
Fernando Riveros-Mckay, Clare Oliver‐Williams, Savita Karthikeyan…·Inês Barroso
The paper identifies novel gene-trait associations and pathways involving rare variants in metabolic biomarkers linked to cardiovascular disease risk.
Luca Andrea Lotta, Maik Pietzner, Isobel D. Stewart…·Claudia Langenberg
This study identifies genetic associations with metabolite levels across multiple cohorts and links these variants to clinical outcomes like type 2 diabetes and macular telangiectasia type 2.
Johannes Kettunen, Michael Vaclav Holmes, Elias Allara…·Mika Ala‐Korpela
The paper examines the effects of CETP and HMGCR genetic inhibition on lipoprotein profiles and CHD risk, finding distinct impacts on cholesterol and triglyceride compositions.
Benjamin B. Sun, Joseph Maranville, James E. Peters…·Adam S. Butterworth
The paper identifies 1,927 genetic associations with 1,478 plasma proteins using 10.6 million DNA variants and 3,301 individuals, revealing new drug targets and safety concerns.