LeenaPeltonen.EU

 
  Research interests
 

Integrated genome wide profiling of common traits: Genetics of cardiovascular and neuropsychiatric diseases

The group aims to translate the wealth of data emerging from large-scale genome-wide analyses in molecular epidemiological studies in various European populations into information of direct relevance to future advances in clinical medicine. We do this for selected cardiovascular (dyslipidemias, myocardial infarct, atherosclerosis) and neuropsychiatric diseases (multiple sclerosis, autism, schizophrenia) and their trait components through the integration of very large-scale genetic and phenotypic data already available from a substantial number of large and well-characterized families and population cohorts.

Our research has its foundation in the capitalization of the possibilities provided by the special population resources of Europe, including large epidemiological study sample resources from the isolated population of Finland (www.nationalbiobanks.fi). We use advanced molecular methods of Sanger platforms and biocomputational strategies to collect genome-wide information of diseases with complex etiology. Our current research is focusing on integrated analysis of genetic fine mapping studies of already identified loci for well characterized clinical phenotypes, with subsequent studies aiming at identification of the causative variants and analyses of their individual and joint effects in population samples. We also plan to adapt methodological advances that enable analyses of other sources of genomic variation (eg structural and epigenetic variants), and to broadening of the phenotypic spectrum (to genomic endophenotypes in particular). As well as advances in the understanding of disease pathogenesis which may underpin novel therapeutic advances, we expect to provide clear proof-of-principle that genetic and genomic discoveries can be translated into diagnostic indicators for other common diseases with the capacity to stratify risk, monitor disease progression and in future also predict and monitor therapeutic response.


 

 

 

©2009 Sari Kivikko