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Projects / Programmes source: ARIS

Genomics of erythrocytosis

Research activity

Code Science Field Subfield
3.04.00  Medical sciences  Oncology   

Code Science Field
3.02  Medical and Health Sciences  Clinical medicine 
Keywords
erythrocytosis, genetic diagnosis, Next Generaion Sequencing (NGS), functional analysis, disease modelling
Evaluation (metodology)
source: COBISS
Points
4,513.98
A''
216.11
A'
1,614.98
A1/2
2,823.66
CI10
6,284
CImax
256
h10
39
A1
15.13
A3
4.9
Data for the last 5 years (citations for the last 10 years) on October 15, 2025; Data for score A3 calculation refer to period 2020-2024
Data for ARIS tenders ( 04.04.2019 – Programme tender, archive )
Database Linked records Citations Pure citations Average pure citations
WoS  332  6,255  5,613  16.91 
Scopus  347  7,087  6,353  18.31 
Organisations (4) , Researchers (19)
0381  University of Ljubljana, Faculty of Medicine
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  18622  PhD Nataša Debeljak  Biochemistry and molecular biology  Head  2022 - 2025  260 
2.  18529  Dubravka Germ    Technical associate  2022 
3.  21395  PhD Petra Hudler  Medical sciences  Researcher  2022 - 2025  174 
4.  51963  PhD Aleša Kristan  Biochemistry and molecular biology  Researcher  2022 - 2025  55 
5.  56259  Ajda Kunčič  Biochemistry and molecular biology  Young researcher  2023 - 2025  38 
6.  36486  PhD Pia Pužar Dominkuš  Biochemistry and molecular biology  Young researcher  2022  47 
7.  22459  PhD Tadeja Režen  Neurobiology  Researcher  2022 - 2025  279 
8.  37411  PhD Jana Tomc  Biochemistry and molecular biology  Researcher  2022 - 2023  26 
0312  University Medical Centre Ljubljana
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  50642  PhD Saša Anžej Doma  Cardiovascular system  Researcher  2022 - 2025  143 
2.  18992  PhD Martina Fink  Biochemistry and molecular biology  Researcher  2022 - 2025  129 
3.  54877  Jurka Klun  Biochemistry and molecular biology  Researcher  2022 - 2025 
4.  23818  PhD Tadej Pajič  Human reproduction  Researcher  2022 - 2025  190 
5.  23126  PhD Irena Preložnik Zupan  Oncology  Researcher  2022 - 2025  442 
6.  54878  PhD Sandra Šućurović  Biochemistry and molecular biology  Researcher  2022 - 2025  23 
0481  University of Ljubljana, Biotechnical Faculty
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  16361  PhD Tanja Kunej  Animal production  Researcher  2022 - 2025  983 
3787  KEMOMED, d.o.o., svetovanje, trgovina in trženje (Slovene)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  54557  Simon Fekonja  Biochemistry and molecular biology  Researcher  2022 - 2025 
2.  54558  Vesna Kokondoska Grgich  Biochemistry and molecular biology  Researcher  2022 - 2025  22 
3.  50389  Rok Količ  Biochemistry and molecular biology  Researcher  2022 - 2025  27 
4.  50388  Andrej Vuga  Chemistry  Researcher  2022 - 2025 
Abstract
Within the project Genomics of erythrocytosis (Gen2Ery) we aim to addresses current unmet diagnostic needs for the rare inherited haematological condition, Congenital Erythrocytosis. Currently only 30% of patients in EU are diagnosed, including Slovenia, while in the rest the condition remains labelled as idiopathic. Erythrocytosis is a haematological condition with increased mass of erythrocytes and consequently increased haematocrit and haemoglobin. It is caused by inherited or acquired mutations or as a compensatory mechanism in some chronic diseases (heart, lung, kidney, etc). Clinical signs are often overlooked until complications; e.g. thrombosis that could result in morbidity and mortality. Therefore, rapid and accurate diagnosis is of high importance. The genetic cause of erythrocytosis may be Polycythaemia Vera or Congenital Erythrocytosis. Polycythaemia Vera is the most common acquired erythrocytosis and variants in JAK2 are routinely diagnosed, also in Slovenia. Congenital Erythrocytosis has heterogeneous genetic background, with variants in genes involved in oxygen sensing (VHL, EGLN1, EPAS1, EPO), erythropoietin signal transduction (EPOR, JAK2) or regulation of haemoglobin affinity to oxygen (HBA1, HBA2, HBB, BPGM). Within the previous GenEry research, targeted NGS analysis covering 39 erythrocytosis-associated genes was performed, However, among 30 patients only one patient had the pathogenic, disease driven variant in EPAS1. Due to poor diagnosis, also treatment is not well defined and medical doctors do not share a common opinion regarding best treatment selection (low dose aspirin, venesection, JAK2 inhibitors, etc.). Within the proposed Gen2Ery project we will extend current NGS diagnostic solutions and use bioinformatics predictions in aim to discover new disease mechanism on multi-omics level. Project consists of 5 working packages focusing on diagnostic as well as clinical aspect of disease. Within WP1 we will evaluate etiological data of disease in Slovenian population and enrol patients with idiopathic erythrocytosis. The specific focus of WP2 is extended NGS analysis (WGS, RNA-Seq, methylation) of families with several members, where no pathogenic variants were yet identified. Furthermore, we will plan to develop additional simple and quick genetic tests for verification of most commonly discovered genetic variants. WP3 is designed to understand functional impact and molecular mechanism of newly discovered genetic variants, including theoretical prediction of additional disease mechanisms. Within the WP4 we will transfer of extended NGS approach for diagnosis of idiopathic erythrocytosis to clinical use. The focus of WP5 is management and dissemination. Multi-omics based NGS diagnosis developed within our project will unable to better understand disease mechanism and consequently patient stratification. Thereafter the best treatment practice to each patient subgroup will be possible (personalized medicine).
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