This study identifies 495 genetic associations with plasma lipid species using genome-wide analysis in 7,174 Finnish individuals and fine-mapping in 377,277 participants, revealing 9 novel loci and disease links.

Nature Communications · Oct 31, 2023Peer-reviewedGenetic & Genomic Medicine

Lipidome- and genome-wide study to understand sex differences in circulatory lipids

Rubina Tabassum, Sanni Ruotsalainen, Linda Ottensmann, Mathias J. Gerl, Christian D. Klose, Taru Tukiainen, Matti Pirinen, Kai Simons, Elisabeth Widén, Samuli Ripatti

The paper examines sex differences in circulatory lipids and their genetic determinants using lipidomics and genome-wide association studies across multiple cohorts.

Journal of the American Heart Association · Oct 4, 2022Peer-reviewedGenetic & Genomic Medicine

Multi-omics profiling of living human pancreatic islet donors reveals heterogeneous beta cell trajectories toward type 2 diabetes

Leonore Wigger, Marko Barovic, Andreas‐David Brunner, Flavia Marzetta, Eyke Schöniger, Florence Mehl, Nicole Kipke, Daniela Friedland, Frédéric Burdet, Camille Kessler, Mathias Lesche, Bernard Thorens, Ezio E. Bonifacio, Cristina Legido‐Quigley, Pierre Barbier Saint Hilaire, , Michele Solimena

This study uses multi-omics analysis of pancreatic islet donors to show heterogeneous beta cell changes associated with type 2 diabetes progression.

Nature Metabolism · Jun 28, 2021Peer-reviewedBioinformatics

Comprehensive and quantitative analysis of white and brown adipose tissue by shotgun lipidomics

Michal Grzybek, Alessandra Palladini, Vasileia I Alexaki, Michal A. Surma, Kai Simons, Triantafyllos Chavakis, Christian Klose, Ünal Coskun

This paper presents a validated shotgun lipidomics method for adipose tissue, revealing diet-related lipidomic differences in brown, gonadal, and inguinal subcutaneous fat from lean and obese mice.

bioRxiv · Nov 14, 2018Physiology

Genetics of human plasma lipidome: Understanding lipid metabolism and its link to diseases beyond traditional lipids

Rubina Tabassum, Joel T Rämö, Pietari Ripatti, Jukka T. Koskela, Mitja Kurki, Juha M Karjalainen, Shabbeer Hassan, Javier Núñez-Fontarnau, Tuomo Kiiskinen, Sanni Söderlund, Niina Matikainen, Mathias J. Gerl, Michał A. Surma, Christian D. Klose, Nathan O. Stitziel, , Samuli Ripatti

The paper conducts GWAS and PheWAS on plasma lipid species to identify genetic associations and their links to diseases beyond traditional lipid measures.

bioRxiv · Oct 31, 2018 · PreprintGenetics