EDBT 2026 Demo / reviewers in the wild / expert
Kaido Lepik
dblp:215/9378
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0001-9884-3265ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 75% Computational social science and digital humanities · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational social science and digital humanities
causal inference |
0.8 | 1 | 2024 | pyTWMR: transcriptome-wide Mendelian randomization in python · Bioinform. 2024 |
Bioinformatics and computational biology
gene expression analysis |
0.8 | 1 | 2024 | pyTWMR: transcriptome-wide Mendelian randomization in python · Bioinform. 2024 |
Bioinformatics and computational biology
genetic epidemiology |
0.8 | 1 | 2024 | pyTWMR: transcriptome-wide Mendelian randomization in python · Bioinform. 2024 |
Bioinformatics and computational biology › statistical genetics › genetic study design
mendelian randomization |
0.8 | 1 | 2024 | pyTWMR: transcriptome-wide Mendelian randomization in python · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
mendelian randomization · 0.8GPU computing · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | pyTWMR: transcriptome-wide Mendelian randomization in pythonabstractMOTIVATION: Mendelian randomization (MR) is a widely used approach to estimate causal effect of variation in gene expression on complex traits. Among several MR-based algorithms, transcriptome-wide summary statistics-based Mendelian Randomization approach (TWMR) enables the uses of multiple SNPs as instruments and multiple gene expression traits as exposures to facilitate causal inference in observational studies. RESULTS: Here we present a Python-based implementation of TWMR and revTWMR. Our implementation offers GPU computational support for faster computations and robust computation mode resilient to highly correlated gene expressions and genetic variants. AVAILABILITY AND IMPLEMENTATION: pyTWMR is available at github.com/soreshkov/pyTWMR. Sergey Oreshkov, Kaido Lepik, Federico A. Santoni |
Bioinform. | 2 |
| 2017 | C-reactive protein upregulates the whole blood expression of CD59 - an integrative analysisabstractElevated C-reactive protein (CRP) concentrations in the blood are associated with acute and chronic infections and inflammation.Nevertheless, the functional role of increased CRP in multiple bacterial and viral infections as well as in chronic inflammatory diseases remains unclear.Here, we studied the relationship between CRP and gene expression levels in the blood in 491 individuals from the Estonian Biobank cohort, to elucidate the role of CRP in these inflammatory mechanisms.As a result, we identified a set of 1,614 genes associated with changes in CRP levels with a high proportion of interferon-stimulated genes.Further, we performed likelihood-based causality model selection and Mendelian randomization analysis to discover causal links between CRP and the expression of CRP-associated genes.Strikingly, our computational analysis and cell culture stimulation assays revealed increased CRP levels to drive the expression of complement regulatory protein CD59, suggesting CRP to have a critical role in protecting blood cells from the adverse effects of the immune defence system.Our results show the benefit of integrative analysis approaches in hypothesis-free uncovering of causal relationships between traits. Author summaryChronic inflammation is associated with chronic diseases, morbidity and mortality while lower base inflammation levels are thought to be predictive of healthy aging.Thus, to pursue a long and healthy lifespan, it is essential to understand the inflammatory regulatory mechanisms.To that end, we studied the functional role of C-reactive protein (CRP)-an inflammatory biomarker that is used to measure cardiovascular risk in clinical practice.There is evidence for a strong genetic component of elevated CRP levels but it is still unclear if it has a direct impact on the processes that lead to inflammatory diseases.In Kaido Lepik, Tarmo Annilo, Viktorija Kukuskina, Kai Kisand, Zoltán Kutalik, Pärt Peterson, Hedi Peterson |
PLoS Comput. Biol. | 1 |