9 results on '"Kučinskas V"'
Search Results
2. Female and male carriers of TAZ mutations need to be thoroughly investigated
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Finsterer J, Stollberger C, Bakšienė M, Benušienė E, Morkūnienė A, Ambrozaitytė L, Utkus A, and Kučinskas V
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Genetics ,QH426-470 - Published
- 2017
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3. RTN4 AND FBXL17 GENES ARE ASSOCIATED WITH CORONARY HEART DISEASE IN GENOME-WIDE ASSOCIATION ANALYSIS OF LITHUANIAN FAMILIES
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Domarkienė I., Pranculis A., Germanas Š., Jakaitienė A., Vitkus D., Dženkevičiūtė V., Kučinskienė Za., and Kučinskas V.
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atherosclerosis ,coronary heart disease (chd) ,genome-wide association study(ies) (gwas) ,transmission disequilibrium test (tdt) ,Genetics ,QH426-470 - Abstract
Coronary heart disease (CHD) is a complex and heterogeneous cardiovascular disease. There are many genome-wide association studies (GWAS) performed worldwide to extract the causative genetic factors. Moreover, each population may have some exceptional genetic characteristic. Thus, the background of our study is from the previous Lithuanian studies (the LiVicordia Project), which demonstrated the differences of the atherosclerosis process between Lithuanian and Swedish male individuals. In this study we performed GWAS of 32 families of Lithuanian origin in search of significant candidate genetic markers [single nucleotide polymorphisms (SNPs)] of CHD in this population. After careful clinical and biochemical phenotype evaluation, the ~770K SNPs genotyping (Illumina HumanOmniExpress- 12 v1.0 array) and familial GWAS analyses were performed. Twelve SNPs were found to be significantly associated with the CHD phenotype (p value 0.65). The odds ratio (OR) values were calculated. Two SNPs (rs17046570 in the RTN4 gene and rs11743737 in the FBXL17 gene) stood out and may prove to be important genetic factors for CHD risk. Our results correspond with the findings in other studies, and these two SNPs may be the susceptibility loci for CHD
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- 2013
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4. A European spectrum of pharmacogenomic biomarkers: Implications for clinical pharmacogenomics
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Mizzi, C., Dalabira, E., Kumuthini, J., Dzimiri, N., Balogh, István, Başak, N., Böhm, R., Borg, J., Borgiani, P., Bozina, N., Bruckmueller, H., Burzynska, B., Carracedo, A., Cascorbi, I., Constantinou-Deltas, Constantinos D., Dolzan, V., Fenech, A., Grech, G., Kasiulevicius, V., Kádaši, L., Kučinskas, V., Khusnutdinova, E., Loukas, Y. L., Macek, M., Makukh, H., Mathijssen, R., Mitropoulos, K., Mitropoulou, C., Novelli, G., Papantoni, I., Pavlovic, S., Saglio, G., Setric, J., Stojiljkovic, M., Stubbs, A. P., Squassina, A., Torres, M., Turnovec, M., Van Schaik, R. H., Voskarides, Konstantinos, Wakil, S. M., Werk, A., Zompo, M. D., Zukic, B., Katsila, T., Lee, M. T. M., Motsinger-Rief, A., Leod, H. L. M., Van Der Spek, P. J., Patrinos, G. P., Constantinou-Deltas, Constantinos D. [0000-0001-5549-9169], Pathology, Medical Oncology, and Clinical Chemistry
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0301 basic medicine ,Genetics and Molecular Biology (all) ,Anticoagulants ,Cluster Analysis ,Cytochrome P-450 CYP2C9 ,Ethnic Groups ,Europe ,Humans ,Vitamin K Epoxide Reductases ,Warfarin ,Genetic Markers ,Pharmacogenetics ,Biochemistry, Genetics and Molecular Biology (all) ,Agricultural and Biological Sciences (all) ,genotype ,lcsh:Medicine ,Toxicology ,Pathology and Laboratory Medicine ,Bioinformatics ,anticoagulant agent ,Biochemistry ,human experiment ,ethnic group ,Medicine and Health Sciences ,Drugs -- Effectiveness ,genetics ,TPMT gene ,lcsh:Science ,pharmacogenetics ,Multidisciplinary ,cytochrome P450 2C9 ,biology ,Pharmaceutics ,VKORC1 protein, human ,Drugs ,Orvostudományok ,Genomics ,biological marker ,3. Good health ,CYP2C9 gene ,Biomarker (medicine) ,VKORC1 ,genetic marker ,Research Article ,Biotechnology ,Genotyping ,Pharmacogenomic Testing ,CYP2C19 ,gene frequency ,Klinikai orvostudományok ,Research and Analysis Methods ,European ,Article ,CYP3A5 gene ,medication therapy management ,SLCO1B1 gene ,vitamin K epoxide reductase ,CYP2C19 gene ,03 medical and health sciences ,Dose Prediction Methods ,Genomic Medicine ,Drug Therapy ,Genetics ,controlled study ,human ,normal human ,Molecular Biology Techniques ,gene ,Molecular Biology ,Allele frequency ,Pharmacology ,pharmacogenomics ,Pharmacogenomics ,genetic composition ,biomarkers ,allele frequency ,European populations ,Toxicity ,lcsh:R ,Biology and Life Sciences ,warfarin ,030104 developmental biology ,Settore MED/03 - Genetica Medica ,biology.protein ,lcsh:Q ,VKORC1 gene ,SLCO1B1 ,Biomarkers ,cluster analysis - Abstract
Acknowledgments: The Euro-PGx project was partly funded by European grant (RD-Connect; FP7-305444) and the Golden Helix Foundation and encouraged by the Genomic Medicine Alliance Pharmacogenomics Working group. The Lithuanian segment of the project was supported by the LITGEN project (VP1-3.1-ŠMM-07-K-01-013), funded by the European Social Fund under the Global Grant Measure. The Czech segment of the project was supported by 00064203, LN14073, LM2015091, NF-CZ11-PDP-3-003-2014 and CZ.2.16/3.1.00/24022OPPK grants to MM. JK was funded by the National Institutes of Health Common Fund Award NHGRI Grant Number U41HG006941. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors declare no conflict of interests., Pharmacogenomics aims to correlate inter-individual differences of drug efficacy and/or toxicity with the underlying genetic composition, particularly in genes encoding for protein factors and enzymes involved in drug metabolism and transport. In several European populations, particularly in countries with lower income, information related to the prevalence of pharmacogenomic biomarkers is incomplete or lacking. Here, we have implemented the microattribution approach to assess the pharmacogenomic biomarkers allelic spectrum in 18 European populations, mostly from developing European countries, by analyzing 1,931 pharmacogenomics biomarkers in 231 genes. Our data show significant interpopulation pharmacogenomic biomarker allele frequency differences, particularly in 7 clinically actionable pharmacogenomic biomarkers in 7 European populations, affecting drug efficacy and/or toxicity of 51 medication treatment modalities. These data also reflect on the differences observed in the prevalence of high-risk genotypes in these populations, as far as common markers in the CYP2C9, CYP2C19, CYP3A5, VKORC1, SLCO1B1 and TPMT pharmacogenes are concerned. Also, our data demonstrate notable differences in predicted genotype-based warfarin dosing among these populations. Our findings can be exploited not only to develop guidelines for medical prioritization, but most importantly to facilitate integration of pharmacogenomics and to support pre-emptive pharmacogenomic testing. This may subsequently contribute towards significant cost-savings in the overall healthcare expenditure in the participating countries, where pharmacogenomics implementation proves to be cost-effective., The Euro-PGx project was partly funded by European grant (RD-Connect; FP7-305444) and the Golden Helix Foundation and encouraged by the Genomic Medicine Alliance Pharmacogenomics Working group. The Lithuanian segment of the project was supported by the LITGEN project (VP1- 3.1-ŠMM-07-K-01-013), funded by the European Social Fund under the Global Grant Measure. The Czech segment of the project was supported by 00064203, LN14073, LM2015091, NF-CZ11-PDP-3-003-2014 and CZ.2.16/3.1.00/24022OPPK grants to MM. JK was funded by the National Institutes of Health Common Fund Award NHGRI Grant Number U41HG006941. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript., peer-reviewed
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- 2016
5. NSD1 duplication in Silver-Russell syndrome ( SRS): molecular karyotyping in patients with SRS features.
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Sachwitz, J., Meyer, R., Fekete, G., Spranger, S., Matulevičienė, A., Kučinskas, V., Bach, A., Luczay, A., Brüchle, N.O., Eggermann, K., Zerres, K., Elbracht, M., and Eggermann, T.
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SILVER-Russell syndrome ,CHROMOSOME abnormalities ,CRANIOFACIAL abnormalities ,DWARFISM ,HUMAN abnormalities ,GENETICS - Abstract
Silver-Russell syndrome ( SRS) is a growth retardation syndrome characterized by intrauterine and postnatal growth retardation, relative macrocephaly and protruding forehead, body asymmetry and feeding difficulties. Nearly 50% of cases show a hypomethylation in 11p15.5, in 10% maternal uniparental disomy of chromosome 7 is present. A significant number of patients with SRS features also exhibit chromosomal aberrations. We analyzed 43 individuals referred for SRS genetic testing by molecular karyotyping. Pathogenic variants could be detected in five of them, including a NSD1 duplication in 5q35 and a 14q32 microdeletion. NSD1 deletions are detectable in overgrowth disorders (Sotos syndrome and Beckwith-Wiedemann syndrome), whereas NSD1 duplications are associated with growth retardation. The 14q32 deletion is typically associated with Temple syndrome ( TS14), but the identification of a patient in our cohort reflects the clinical overlap between TS14 and SRS. As determination of molecular subtypes is the basis for a directed counseling and therapy, the identification of pathogenic variants in >10% of the total cohort of patients referred for SRS testing and in >16% of characteristic individuals with the characteristic SRS phenotype confirms the need to apply molecular karyotyping in this cohort. [ABSTRACT FROM AUTHOR]
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- 2017
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6. Predicting a clinical/biochemical phenotype for PKU/MHP patients with PAH gene mutations.
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Kasnauskienė, J., Cimbalistienė, L., and Kučinskas, V.
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GENETICS ,EXONS (Genetics) ,CHROMOSOMES ,PHENOTYPES ,ELECTROPHORESIS - Abstract
Phenylketonuria (PKU) and mild hyperphenylalaninemia (MHP) are allelic disorders caused by mutations in the gene encoding phenylalanine hydroxylase (PAH). In this study, a total of 218 independent PAH chromosomes (109 unrelated patients with PKU residing in Lithuania) were investigated. All 13 exons of the PAH gene of all PKU probands were scanned for DNA alterations by denaturing gradient gel electrophoresis (DGGE). In the cases of a specific DGGE pattern recognized, mutations were identified by direct fluorescent automated sequencing or by restriction enzyme digestion analysis of relevant exons. Twenty-five different PAH gene mutations were identified in Lithuania. We estimated a connection between individual PAH locus mutations and biochemical and metabolic phenotypes in patients in whom the mutant allele acts on its own, i.e., in functionally hemizygous patients and using the assigned value (AV) method to determine the severity of both common and rare mutant alleles, as well as to check a model to predict the combined phenotypic effect of two mutant PAH alleles. [ABSTRACT FROM AUTHOR]
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- 2008
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7. Are TGFA, TGFB3, GABRB3, RARA and BCL3 loci associated with nonsyndromic orofacial clefts? A Lithuanian study.
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Morkūnienė, A., Steponavičiūtė, D., Ambrozaitytė, L., Utkus, A., Linkevičienė, L., and Kučinskas, V.
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GENETIC markers ,CLEFT lip ,CLEFT palate ,GENETICS - Abstract
Copyright of Biologija is the property of Lithuanian Academy of Sciences Publishers and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2007
8. Y Chromosome and Mitochondrial DNA Variation in Lithuanians.
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Kasperavčiūte, D., Kučinskas, V., and Stoneking, M.
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Y chromosome , *DNA , *HUMAN population genetics , *POPULATION genetics , *GENETICS - Abstract
The genetic composition of the Lithuanian population was investigated by analysing mitochondrial DNA hypervariable region 1, RFLP polymorphisms and Y chromosomal biallelic and STR markers in six ethnolinguistic groups of Lithuanians, to address questions about the origin and genetic structure of the present day population. There were no significant genetic differences among ethnolinguistic groups, and an analysis of molecular variance confirmed the homogeneity of the Lithuanian population. MtDNA diversity revealed that Lithuanians are close to both Slavic (Indo-European) and Finno-Ugric speaking populations of Northern and Eastern Europe. Y-chromosome SNP haplogroup analysis showed Lithuanians to be closest to Latvians and Estonians. Significant differences between Lithuanian and Estonian Y chromosome STR haplotypes suggested that these populations have had different demographic histories. We suggest that the observed pattern of Y chromosome diversity in Lithuanians may be explained by a population bottleneck associated with Indo-European contact. Different Y chromosome STR distributions in Lithuanians and Estonians might be explained by different origins or, alternatively, be the result of some period of isolation and genetic drift after the population split. [ABSTRACT FROM AUTHOR]
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- 2004
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9. Genetic characterization of northeastern Italian population isolates in the context of broader European genetic diversity
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Ivo Gut, Péter Kisfali, Aarno Paolotie, Mari Nelis, Eveliina Jakkula, Damjan Glavač, Stefan Schreiber, Tadeusz Dębniak, Michela Traglia, Alexander Zimprich, Paolo Gasparini, Andres Metspalu, Jan Lubinski, Draga Toncheva, H-Erich Wichmann, Tõnu Esko, Liene Nikitina-Zake, Karola Rehnström, Mark Lathrop, Milan Macek, Svetlana A. Limborska, Pio D'Adamo, Xavier Estivill, Andrey Khrunin, Veronika Krulisova, Stylianos E. Antonarakis, Mait Metspalu, Michael Krawczak, Fritz Zimprich, Antonio Julià, Zita Ausrele Kucinskiene, Vaidutis Kučinskas, Massimo Mezzavilla, Thomas Meitinger, Béla Melegh, Daniela Toniolo, Janis Klovins, Christelle Borel, Sena Karachanak, Sara Marsal, Esko, T, Mezzavilla, Massimo, Nelis, M, Borel, C, Debniak, T, Jakkula, E, Julia, A, Karachanak, S, Khrunin, A, Kisfali, P, Krulisova, V, Aušrelé Kučinskiené, Z, Rehnström, K, Traglia, Michela, Nikitina Zake, L, Zimprich, F, Antonarakis, Se, Estivill, X, Glavač, D, Gut, I, Klovins, J, Krawczak, M, Kučinskas, V, Lathrop, M, Macek, M, Marsal, S, Meitinger, T, Melegh, B, Limborska, S, Lubinski, J, Paolotie, A, Schreiber, S, Toncheva, D, Toniolo, D, Wichmann, He, Zimprich, A, Metspalu, M, Gasparini, Paolo, Metspalu, A, and D'Adamo, ADAMO PIO
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genetic distance ,isolated population ,population genetics ,Demographic history ,Population ,Population genetics ,Polymorphism, Single Nucleotide ,Linkage Disequilibrium ,White People ,Article ,03 medical and health sciences ,Effective population size ,Genetic variation ,Genetics ,Cluster Analysis ,Humans ,ddc:576.5 ,Linkage Disequilibrium/genetics ,European Continental Ancestry Group/genetics ,education ,Genetics (clinical) ,030304 developmental biology ,0303 health sciences ,education.field_of_study ,Genetic diversity ,Models, Genetic ,Genome, Human ,030305 genetics & heredity ,Homozygote ,Genetic Variation ,Polymorphism, Single Nucleotide/genetics ,Geography ,Genetics, Population ,Genetic distance ,Italy ,Evolutionary biology ,Genome, Human/genetics ,Genetic isolate - Abstract
Population genetic studies on European populations have highlighted Italy as one of genetically most diverse regions. This is possibly due to the country's complex demographic history and large variability in terrain throughout the territory. This is the reason why Italy is enriched for population isolates, Sardinia being the best-known example. As the population isolates have a great potential in disease-causing genetic variants identification, we aimed to genetically characterize a region from northeastern Italy, which is known for isolated communities. Total of 1310 samples, collected from six geographically isolated villages, were genotyped at >145 000 single-nucleotide polymorphism positions. Newly genotyped data were analyzed jointly with the available genome-wide data sets of individuals of European descent, including several population isolates. Despite the linguistic differences and geographical isolation the village populations still show the greatest genetic similarity to other Italian samples. The genetic isolation and small effective population size of the village populations is manifested by higher levels of genomic homozygosity and elevated linkage disequilibrium. These estimates become even more striking when the detected substructure is taken into account. The observed level of genetic isolation in Friuli-Venezia Giulia region is more extreme according to several measures of isolation compared with Sardinians, French Basques and northern Finns, thus proving the status of an isolate.
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- 2013
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