FIMM Dissertations 2020 - 2021

Associations with childhood aggressive behavior using multiple raters : co-occurrence, antisocial personality disorder prediction, and biomarkers

October 15, 2021

In her thesis, Alice Whipp aimed to improve our understanding of aggressive behavior in childhood and adolescence by looking at the following aspects: co-occurring behaviors/problems, differences between raters, aggression subtypes, adolescent aggression as a predictor of a young adult personality disorder, and biomarkers of aggression.

The findings help to clarify the co-occurrence of aggressive behavior with other behaviors across raters and countries, to show how common the co-occurrence is and that it should be taken into consideration when studying aggressive behavior, including from (epi)genetic or biological perspectives. Her thesis provides refinements to the aggressive behavior phenotype, new avenues for aggression biology investigations, and ideas for where to improve or personalize treatment options.

The thesis was supervised by Docent Tellervo Korhonen and Academy Research Fellow Eero Vuoksimaa.

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Alyce Whipp's e-thesis

Targeting STAT3 and kinases in lymphoid malignancies

May 27, 2021

Elina Parri’s thesis focused on a molecule called STAT3. In cancers, activation of the STAT3 is associated with enhanced cellular transformation, increased metastasis and drug resistance. Direct therapeutic targeting of STAT3 has proven to be challenging and only a few direct STAT3 inhibitors have entered early phase clinical trials. The thesis used high-throughput screening applications for identifying novel strategies for indirect STAT3 targeting. The results suggest novel drug combinations for targeting malignant NK-cells.

The thesis was supervised by Professor Krister Wennerberg.

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Elina Parri's e-thesis

Functional molecular precision medicine for acute myeloid leukemia

February 5, 2021

In Disha Malani's thesis, a real-time precision systems medicine strategy was applied to identify targeted therapeutic options and biomarker associations in 252 samples from 186 acute myeloid leukemia patients. The integration of molecular profiling and drug sensitivity and resistance testing data revealed drug efficacies and underlying mutations and gene expression biomarkers for a subset of patient samples.

The results suggest that functional precision medicine could have clinical utility, although it needs supportive evidence from formal prospective clinical trials. The thesis highlighted novel avenues to define therapeutic opportunities for specific molecular subgroups of adult acute myeloid leukemia. 

The thesis was supervised by Professor Olli Kallioniemi.

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Disha Malani's e-thesis

 

Fine-scale genetic structure and polygenic scores in Finland

January 29, 2021

Sini Kerminen's doctoral thesis examined the fine-scale genetic structure and its role in the geographic distribution of polygenic scores in Finland.

The first part of the thesis expanded the understanding of the genetic structure of Finland by determining the geographic border for the major genetic split between East and West Finland, and by identifying 17 previously unreported genetic fine-scale populations. The second part of the thesis utilized the earlier results by building, based on the fine-scale genetic structure, reference groups to estimate the genetic ancestry profile of an individual within Finland. he third part of the thesis assessed the role of the genetic split between East and West in the geographic distribution of the genetic risk of five complex diseases (coronary artery disease, rheumatoid arthritis, schizophrenia, ulcerative colitis, and Crohn’s disease) and three quantitative traits (height, body mass index, and waist-hip ratio) using polygenic scores.

The thesis was supervised by Dr. Matti Pirinen and Professor Samuli Ripatti.

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Sini Kerminen's e-thesis

The DISC1 gene network in major mental illnesses in Finland

17 December, 2020

Vishal Sinha's thesis focused on studying the impact of the DISC1 gene network on the aetiology of schizophrenia and other major mental illnesses in Finland.

In his thesis, Vishal performed comprehensive studies of 8 Finnish cohorts and identified functional variants within the PDE4D, NDE1, and the DISC1 gene increasing susceptibility to schizophrenia.

The thesis was supervised by Dr. William Hennah.

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Vishal Sinha's e-thesis

Computational tools for high-throughput drug combination screening, synergy scoring and predictive modelling in cancer

22nd October 2020 

 

The main aim of Liye He's thesis was to develop computational models and tool for accelerating the process of identifying personalised drug combination therapy for cancer patients in a systematic manner, covering all the phases of the discovery process from experiment design to predicting and validating synergistic drug combinations.

The thesis work was supervised by Professor Tero Aittokallio and Assistant Professor Jing Tang.

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Liye He's e-thesis

Polygenic contributions to dyslipidemias and related cardiometabolic diseases

September 17, 2020

Pietari Ripatti's thesis focused on answering fundamental questions about the genetic architecture of common cardiometabolic diseases, and about the impact of genomic risk measurements on disease incidence prediction.

In his thesis, Pietari first showed that the most common familial dyslipidemia traditionally considered monogenic, FHC, is mainly polygenic. Second, he found that polygenic hyperlipidemias considerably increase lipid levels as well as CAD risk. Finally, polygenic risk scores were demonstrated to predict future disease onset better than current clinical risk scores alone.

The thesis was supervised by Professor Samuli Ripatti.

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Pietari Ripatti's e-thesis

 

 

Point-of-care diagnostics with digital microscopy and artificial intelligence

September 4, 2020

 

In his doctoral thesis, Oscar Holmström described, developed, implemented and evaluated novel diagnostic solutions to digitize microscopy samples at the point of care for analysis either visually or with automatized digital algorithms. This topic has enormous global health implications, since the lack of access to diagnostics is an enormous problem which causes underdiagnosis of various common and treatable diseases.

Oscar's thesis was supervised by FIMM Research Director Johan Lundin and Dr. Nina Linder.

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Oscar Holmström's e-thesis

In search of perinatal correlates of left-handedness

August 21, 2020

 

The known bias in human hand usage is fascinating, but the origins of handedness remain largely unknown, with about 10% of people being left-handed. Studies however point to early development in handedness formation. The main aim of  Kauko Heikkilä's thesis work was to study whether perinatal covariates have an association with left-handedness.

The thesis was supervised by late Professor Emeritus Matti Iivanainen, Eero Vuoksimaa, Jari Haukka and Aulikki Saari-Kemppainen.

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Ras­kausa­jan ke­hi­tys vai­kut­taa va­sen­kä­ti­syy­den ylei­syy­teen

Kauko Heikkilä's e-thesis

Epigenetic Profiling of Obesity and Smoking

March 27th, 2020

 

Sailalitha Bollepalli's thesis work focused on elucidating the role of epigenetic and transcriptomic markers in obesity and smoking. Her main aim was to identify weight-loss and smoking-associated signals by integrating these different types of genome-wide omics datasets by various statistical approaches and bioinformatics tools.

The thesis was supervised by  Dr. Miina Ollikainen and Professor Jaakko Kaprio. 

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Saila­litha Bol­lepal­li’s dis­ser­ta­tion re­veals the epigenetic sig­na­ture of smoking and weight-loss

Sailalitha Bollepali's e-thesis

Computational frameworks to aid pharmacological studies: Tools, Databases and Prediction models

28th February 2020 

 

The accumulation of large-scale drug molecule profiling datasets has paved the way to a new field of science, called chemoinformatics. Developed in silico models can serve as an efficient and cost-effective augmentation to the experimental laboratory screening approaches. The main aim of Balaguru Ravikumar's thesis was to develop novel computational methods, databases and tools for interpreting drug screening data.

The thesis work was supervised by Professor Tero Aittokallio.

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Bal­aguru Raviku­mar’s dis­ser­ta­tion de­mon­strates the value of com­pu­ta­tional frame­works on in­ter­pret­ing large-scale drug screen­ing data

Balaguru Ravikumar's e-thesis