Honorary Faculty - Samuli Ripatti
Dr Samuli Ripatti's research focuses on genetic variation and its relation to human metabolism and cardiovascular diseases. He works closely with the Sanger Institute's Human Genetics Faculty to apply genome-wide analysis to the data from Finnish cohorts. This population has a long tradition of biobanking and registry-based follow-up for clinical events that provides a strong basis for collaborative research.
Samuli graduated from Helsinki University with a MSc in statistics. His doctorate project focused on statistical modelling of correlated data and he received his PhD degree in mathematical statistics from Stockholm University. After post doctorate periods at Karolinska Institute in Stockholm and National Public Health Institute in Helsinki he was appointed to a group leader position at FIMM (Institute for Molecular Medicine Finland).
Samuli's group studies genetic variation and its connection to lipids, metabolites and other risk factors for metabolic diseases. The group also builds statistical and computational models for cardiovascular disease risk estimation.
Selected Publications
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Detailed metabolic and genetic characterization reveals new associations for 30 known lipid loci.
Human molecular genetics 2012;21;6;1444-55
PUBMED: 22156771; DOI: 10.1093/hmg/ddr581
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Genome-wide association study identifies multiple loci influencing human serum metabolite levels.
Nature genetics 2012;44;3;269-76
PUBMED: 22286219; PMC: 3605033; DOI: 10.1038/ng.1073
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A genome-wide screen for interactions reveals a new locus on 4p15 modifying the effect of waist-to-hip ratio on total cholesterol.
PLoS genetics 2011;7;10;e1002333
PUBMED: 22028671; PMC: 3197672; DOI: 10.1371/journal.pgen.1002333
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A multilocus genetic risk score for coronary heart disease: case-control and prospective cohort analyses.
Lancet 2010;376;9750;1393-400
PUBMED: 20971364; PMC: 2965351; DOI: 10.1016/S0140-6736(10)61267-6
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Loci influencing lipid levels and coronary heart disease risk in 16 European population cohorts.
Nature genetics 2009;41;1;47-55
PUBMED: 19060911; PMC: 2687074; DOI: 10.1038/ng.269
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Estimation of multivariate frailty models using penalized partial likelihood.
Biometrics 2000;56;4;1016-22
PUBMED: 11129456


