What we do
In the Statistical Genetics Group, we are interested in the development of statistical methodologies in order to decipher the genetic architecture of complex human traits related to obesity. To do this, we efficiently combine large-scale genome-wide association studies (GWAS) with various -omics data. Our methods improve genetic fine-mapping, reveal gene-environment interactions, dissect genetic subtypes of obesity, enhance causal effect estimation and detect various statistical artefacts. Furthermore, we are involved in large consortia researching the genetic basis of anthropometric traits (GIANT) and longevity (LifeGen).
Find out more about the Group’s activities
Highlights 2019
- SGG member Eleonora Porcu won the SIB Early Career Bioinformatics Award;
- Bayesian GWAS R package released;
- Zoltán Kutalik became Scientific Programme Committee Member of the European Society of Human Genetics.
Main publications 2019
- Porcu E et al.
Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits
Nat Comms, doi: 10.1038/s41467-019-10936-0 - Timmers PR et al.
Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances
eLife, doi: 10.7554/eLife.39856 - Marouli E et al.
Mendelian randomisation analyses find pulmonary factors mediate the effect of height on coronary artery disease
Comm Biol, doi: 10.1038/s42003-019-0361-2
