Graves' disease affects approximately 3 % of women and 0.5 % of men. The first-choice therapy is based on the administration of thyrostatic drugs. However, approximately half of patients relapse within two years of discontinuation. These patients must then decide whether to re-initiate thyrostatics, which may have serious side effects, or to undergo surgery or radioiodine treatment. Familial forms of Graves' disease indicate a significant genetic component, with twin studies demonstrating a contribution of genetic factors up to 70-80 %. The autoimmune nature of the disease involves the human leukocyte antigen (HLA) complex, which has a decisive impact on each individual's immune response. Within HLA, some variants of the DRB1, DQA1 and DQB1 genes appear to be possible predictors of the development and recurrence of Graves' disease. Outside the HLA region, many variants of immunocompetent genes have also been identified as potential Graves' disease predictors. Apart from the immune system, some thyroid-specific genes have been described in relation to the disease. Here, we present current knowledge regarding the genetic components involved in the development and recurrence of Graves' disease. Further, we present original pilot results from a cohort of Czech Graves' disease patients regarding the HLA variants.

• MeSH
• genetická predispozice k nemoci epidemiologie   genetika   MeSH
• Gravesova nemoc diagnóza   epidemiologie   genetika   MeSH
• HLA antigeny genetika   MeSH
• kohortové studie MeSH
• lidé MeSH
• pilotní projekty MeSH
• prediktivní hodnota testů MeSH
• recidiva MeSH
• štítná žláza patologie   fyziologie   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH
• Geografické názvy
• Česká republika epidemiologie   MeSH
• Názvy látek
• HLA antigeny MeSH

In genetic programming (GP), computer programs are often coevolved with training data subsets that are known as fitness predictors. In order to maximize performance of GP, it is important to find the most suitable parameters of coevolution, particularly the fitness predictor size. This is a very time-consuming process as the predictor size depends on a given application, and many experiments have to be performed to find its suitable size. A new method is proposed which enables us to automatically adapt the predictor and its size for a given problem and thus to reduce not only the time of evolution, but also the time needed to tune the evolutionary algorithm. The method was implemented in the context of Cartesian genetic programming and evaluated using five symbolic regression problems and three image filter design problems. In comparison with three different CGP implementations, the time required by CGP search was reduced while the quality of results remained unaffected.

• Klíčová slova
• Cartesian genetic programming, coevolutionary algorithms, evolutionary design, fitness prediction, image processing., symbolic regression,
• MeSH
• algoritmy * MeSH
• biologická evoluce * MeSH
• genetická zdatnost MeSH
• lidé MeSH
• počítačová simulace MeSH
• počítačové zpracování obrazu metody   MeSH
• poměr signál - šum MeSH
• regresní analýza MeSH
• software * MeSH
• vylepšení obrazu metody   MeSH
• výpočetní biologie metody   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

Genetic and non-genetic predictors of 15-year survival in patients with chronic three-vessel disease (3VD) were investigated. Coronary angiography was performed on 810 subjects with symptoms of stable ischemic heart disease in 1998. The patients with 3VD were genotyped for 23 candidate polymorphisms covering the PPAR-RXR pathway, matrix metalloproteinase-2, renin-angiotensin-aldosterone system, endothelin-1, cytokine genes, MTHFR and APO E variants. Fifteen-year survival data were obtained from the national insurance registry. All data were available in the case of 150 patients with 3VD. Statistical analysis used stepwise Cox regression with dominant, recessive, or additive mode of genetic expression. Involved variables included age, sex, BMI, blood pressure, diabetes, ejection fraction, left main stenosis, previously diagnosed coronary stenosis, myocardial infarction in personal history, and coronary bypass along with polymorphisms pre-selected by log-rank tests. Out of the 23 polymorphisms, four were included in the model construction. SNP in the IL-6 gene rs1800795 (-174 G/C) has been found to be a significant predictor of survival. This SNP was in a linkage disequilibrium with rs1800797 (-597 G/A) in the same gene (D'=1.0), which was also found to constitute a significant predictor of survival when rs1800795 was not included in the model construction. Age, increased BMI, diabetes, low EF, and left main stenosis were also significant predictors in all models. Age, increased BMI, diabetes, low ejection fraction, left main stenosis, and genetic variation in the IL-6 promoter were established as significant independent risk factors for the survival of patients with three-vessel disease.

• MeSH
• DNA genetika   MeSH
• genetická predispozice k nemoci * MeSH
• interleukin-6 krev   genetika   MeSH
• lidé středního věku MeSH
• lidé MeSH
• následné studie MeSH
• nemoci koronárních tepen diagnostické zobrazování   genetika   mortalita   MeSH
• polymerázová řetězová reakce MeSH
• polymorfismus genetický * MeSH
• předpověď * MeSH
• prognóza MeSH
• proporcionální rizikové modely MeSH
• radiografie MeSH
• registrace * MeSH
• retrospektivní studie MeSH
• rizikové faktory MeSH
• senioři MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Česká republika epidemiologie   MeSH
• Názvy látek
• DNA MeSH
• interleukin-6 MeSH

Common carp is a major aquaculture species worldwide, commonly sold alive but also as processed headless carcass or filets. However, recording of processing yields is impossible on live breeding candidates, and alternatives for genetic improvement are either sib selection based on slaughtered fish, or indirect selection on correlated traits recorded in vivo. Morphological predictors that can be measured on live fish and that correlate with real slaughter yields hence remain a possible alternative. To quantify the power of morphological predictors for genetic improvement of yields, we estimated genetic parameters of slaughter yields and various predictors in 3-year-old common carp reared communally under semi-intensive pond conditions. The experimental stock was established by a partial factorial design of 20 dams and 40 sires, and 1553 progenies were assigned to their parents using 12 microsatellites. Slaughter yields were highly heritable (h2 = 0.46 for headless carcass yield, 0.50 for filet yield) and strongly genetically correlated with each other (rg = 0.96). To create morphological predictors, external (phenotypes, 2D digitization) and internal measurements (ultrasound imagery) were recorded and combined by multiple linear regression to predict slaughter yields. The accuracy of the phenotypic prediction was high for headless carcass yield (R2 = 0.63) and intermediate for filet yield (R2 = 0.49). Interestingly, heritability of predicted slaughter yields (0.48-0.63) was higher than that of the real yields to predict, and had high genetic correlations with the real yields (rg = 0.84-0.88). In addition, both predicted yields were highly phenotypically and genetically correlated with each other (0.95 for both), suggesting that using predicted headless carcass yield in a breeding program would be a good way to also improve filet yield. Besides, two individual predictors (P1 and P2) included in the prediction models and two simple internal measurements (E4 and E23) exhibited intermediate to high heritability estimates (h2 = 0.34 - 0.72) and significant genetic correlations to the slaughter yields (rg = |0.39 - 0.83|). The results show that there is a solid potential for genetic improvement of slaughter yields by selecting for predictor traits recorded on live breeding candidates of common carp.

• Klíčová slova
• genetic correlations, heritability estimates, indirect selection, morphological landmarks, slaughter yields, ultrasound imagery,
• Publikační typ
• časopisecké články MeSH

BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 85% of all lung cancer that is the leading cause of cancer-related mortality worldwide. Several predictive markers have been found in NSCLC patients to date but only a few are currently used for tailored therapy. METHODS AND RESULTS: PubMed and Web of Science online databases were used to search review and original articles on the most important predictive markers in NSCLC. CONCLUSION: EGFR activating mutations (exons 18 to 21) and EML4-ALK rearrangement are clinically important markers able to select NSCLC patients which benefit from EGFR or ALK tyrosine kinase inhibitors (gefitinib, erlotinib, crizotinib). Other markers, such as KRAS mutation, EGFR T790M mutation and C-MET amplification, are responsible for resistance to these inhibitors. Overcoming of this resistance as well as discovery of new potential markers and inhibitors is the main goal of ongoing research and clinical trials in NSCLC.

• MeSH
• chemorezistence MeSH
• erbB receptory účinky léků   genetika   MeSH
• fúzní onkogenní proteiny účinky léků   genetika   MeSH
• inhibitory proteinkinas farmakologie   MeSH
• lidé MeSH
• nádorové biomarkery genetika   MeSH
• nádory plic farmakoterapie   genetika   MeSH
• nemalobuněčný karcinom plic farmakoterapie   genetika   MeSH
• protoonkogenní proteiny c-met účinky léků   genetika   MeSH
• protoonkogenní proteiny p21(ras) MeSH
• protoonkogenní proteiny účinky léků   genetika   MeSH
• Ras proteiny účinky léků   genetika   MeSH
• tyrosinkinasy účinky léků   genetika   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• přehledy MeSH
• Názvy látek
• EML4-ALK fusion protein, human MeSH Prohlížeč
• erbB receptory MeSH
• fúzní onkogenní proteiny MeSH
• inhibitory proteinkinas MeSH
• KRAS protein, human MeSH Prohlížeč
• nádorové biomarkery MeSH
• protoonkogenní proteiny c-met MeSH
• protoonkogenní proteiny p21(ras) MeSH
• protoonkogenní proteiny MeSH
• Ras proteiny MeSH
• ROS1 protein, human MeSH Prohlížeč
• tyrosinkinasy MeSH

In order to find new informative predictors of myocardial infarction, we performed an analysis of genotype frequencies of polymorphic markers of SELE (rs2076059, 3832T > C), SELP (rs6131, S290 N), SELL (rs1131498, F206L), ICAM1 (rs5498, K469E), VCAM1 (rs3917010, c.928 + 420A > C), PECAM1 (rs668, V125L), VEGFA (rs35569394, -2549(18)I/D), CCL2 (rs1024611, -2518A > G), NOS3 (rs1799983, E298D), and DDAH1 (rs669173, c.303 + 30998A > G) genes in the group of Russian men with myocardial infarction (N = 315) and the control group of corresponding ethnicity, gender, and age (N = 286). Using Markov chain Monte-Carlo method (APSampler), we found genotype combinations associated with increased and decreased risk of myocardial infarction. The most significant associations were detected for PECAM1*V/V + DDAH1*C (OR = 4.17 CI 1.56-11.15 Pperm = 0.005) SELE*C + VEGFA*I + CCL2*G + VCAM1*A + NOS3*D (OR = 2.74 CI 1.66-4.52 Pperm = 2.09 × 10(-5)), and VEGFA*D/D + CCL2*A + DDAH1*C (OR = 0.44 CI 0.28-0.7 Pperm = 7.89 × 10(-5)) genotype combinations.

• Klíčová slova
• Genetic testing, Myocardial infarction, Risk prediction,
• MeSH
• amidohydrolasy genetika   MeSH
• antigeny CD31 genetika   MeSH
• dospělí MeSH
• frekvence genu MeSH
• genetická predispozice k nemoci MeSH
• genetické asociační studie MeSH
• genetické testování MeSH
• infarkt myokardu etnologie   genetika   MeSH
• jednonukleotidový polymorfismus MeSH
• lidé středního věku MeSH
• lidé MeSH
• studie případů a kontrol MeSH
• Check Tag
• dospělí MeSH
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Rusko MeSH
• Názvy látek
• amidohydrolasy MeSH
• antigeny CD31 MeSH
• dimethylargininase MeSH Prohlížeč

One of the principal mechanisms of chemotherapy resistance in highly frequent solid tumors, such as colorectal cancer (CRC), is the decreased activity of drug transport into tumor cells due to low expression of important membrane proteins, such as solute carrier (SLC) transporters. Sequence complementarity is a major determinant for target gene recognition by microRNAs (miRNAs). Single-nucleotide polymorphisms (SNPs) in target sequences transcribed into messenger RNA may therefore alter miRNA binding to these regions by either creating a new site or destroying an existing one. miRSNPs may explain the modulation of expression levels in association with increased/decreased susceptibility to common diseases as well as in chemoresistance and the consequent inter-individual variability in drug response. In the present study, we investigated whether miRSNPs in SLC transporter genes may modulate CRC susceptibility and patient's survival. Using an in silico approach for functional predictions, we analyzed 26 miRSNPs in 9 SLC genes in a cohort of 1368 CRC cases and 698 controls from the Czech Republic. After correcting for multiple tests, we found several miRSNPs significantly associated with patient's survival. SNPs in SLCO3A1, SLC22A2 and SLC22A3 genes were defined as prognostic factors in the classification and regression tree analysis. In contrast, we did not observe any significant association between miRSNPs and CRC risk. To the best of our knowledge, this is the first study investigating miRSNPs potentially affecting miRNA binding to SLC transporter genes and their impact on CRC susceptibility or patient's prognosis.

• MeSH
• 3' nepřekládaná oblast genetika   MeSH
• adjuvantní chemoterapie MeSH
• genetická predispozice k nemoci MeSH
• jednonukleotidový polymorfismus MeSH
• kolorektální nádory krev   genetika   mortalita   terapie   MeSH
• lidé středního věku MeSH
• lidé MeSH
• lokální recidiva nádoru epidemiologie   prevence a kontrola   MeSH
• messenger RNA krev   genetika   MeSH
• mikro RNA krev   metabolismus   MeSH
• následné studie MeSH
• přenašeče organických aniontů genetika   MeSH
• prognóza MeSH
• proteiny přenášející organické kationty genetika   MeSH
• regulace genové exprese u nádorů MeSH
• senioři MeSH
• studie případů a kontrol MeSH
• transportér organických kationtů 2 genetika   MeSH
• vazebná místa genetika   MeSH
• výpočetní biologie MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• pozorovací studie MeSH
• práce podpořená grantem MeSH
• Názvy látek
• 3' nepřekládaná oblast MeSH
• messenger RNA MeSH
• mikro RNA MeSH
• přenašeče organických aniontů MeSH
• proteiny přenášející organické kationty MeSH
• SLC22A2 protein, human MeSH Prohlížeč
• SLCO3A1 protein, human MeSH Prohlížeč
• solute carrier family 22 (organic cation transporter), member 3 MeSH Prohlížeč
• transportér organických kationtů 2 MeSH

UNLABELLED: • PREMISE OF THE STUDY: Contact zones between diploids and their autopolyploid descendants represent a unique evolutionary venue for studying polyploid establishment, cytotype coexistence, and interactions. Here, we examine cytotype coexistence in a diploid-tetraploid contact zone of a perennial herb, Cardamine amara, located north of the Alps by assessing cytotype spatial patterns, ecological divergence, and genetic variation and structure.• METHODS: Flow cytometry was applied to screen DNA ploidy levels in 302 populations (3296 individuals) and the genetic variation of a selection of 25 populations was examined using microsatellite and AFLP markers. Environmental (landscape and climatic) data were analyzed to assess ecological differentiation between the cytotypes.• KEY RESULTS: A parapatric distribution of the cytotypes with a relatively wide (over 100 km in some regions) secondary contact zone was identified. Mixed-ploidy populations, documented for the first time in this species, as well as triploid individuals were found along the diploid-tetraploid borderline. Different climatic requirements of the two main cytotypes were revealed, mirrored in their altitudinal separation. The tetraploids were genetically differentiated from both the diploids and the modeled, in silico autotetraploid genotypes, in accordance with the assumed polyploid origin and spread linked to past glaciations, and largely independent evolution in allopatry.• CONCLUSIONS: The observed spatial and genetic patterns likely reflect the evolutionary and colonization history of the two cytotypes and have been maintained by multiple factors such as ecological divergence, limited gene flow between the cytotypes, and the restricted dispersal capacity.

• Klíčová slova
• AFLPs, Alps, Brassicaceae, autopolyploidy, contact zone, cytotype coexistence, environmental predictors, microsatellites, polyploidy,
• MeSH
• analýza polymorfismu délky amplifikovaných restrikčních fragmentů MeSH
• Cardamine genetika   fyziologie   MeSH
• chromozomy rostlin genetika   MeSH
• diploidie MeSH
• distribuce rostlin * MeSH
• ekosystém * MeSH
• genetická variace * MeSH
• hybridizace genetická MeSH
• mikrosatelitní repetice MeSH
• tetraploidie MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Evropa MeSH

OBJECTIVE: To undertake a large-scale clinical study of predictors of lithium (Li) response in bipolar I disorder (BD-I) and apply contemporary multivariate approaches to account for inter-relationships between putative predictors. METHODS: We used network analysis to estimate the number and strength of connections between potential predictors of good Li response (measured by a new scoring algorithm for the Retrospective Assessment of Response to Lithium Scale) in 900 individuals with BD-I recruited to the Consortium of Lithium Genetics. RESULTS: After accounting for co-associations between potential predictors, the most important factors associated with the good Li response phenotype were panic disorder, manic predominant polarity, manic first episode, age at onset between 15-32 years and family history of BD. Factors most strongly linked to poor outcome were comorbid obsessive-compulsive disorder, alcohol and/or substance misuse, and/or psychosis (symptoms or syndromes). CONCLUSIONS: Network analysis can offer important additional insights to prospective studies of predictors of Li treatment outcomes. It appears to especially help in further clarifying the role of family history of BD (i.e. its direct and indirect associations) and highlighting the positive and negative associations of different subtypes of anxiety disorders with Li response, particularly the little-known negative association between Li response and obsessive-compulsive disorder.

• Klíčová slova
• lithium response, network analysis, phenotype, predictors,
• MeSH
• bipolární porucha komplikace   farmakoterapie   MeSH
• dospělí MeSH
• komorbidita MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• obsedantně kompulzivní porucha komplikace   MeSH
• prognóza MeSH
• prospektivní studie MeSH
• sloučeniny lithia terapeutické užití   MeSH
• výsledek terapie MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• sloučeniny lithia MeSH

Familial short stature (FSS) describes vertically transmitted growth disorders. Traditionally, polygenic inheritance is presumed, but monogenic inheritance seems to occur more frequently than expected. Clinical predictors of monogenic FSS have not been elucidated. The aim of the study was to identify the monogenic etiology and its clinical predictors in FSS children. Of 747 patients treated with growth hormone (GH) in our center, 95 with FSS met the inclusion criteria (pretreatment height ≤-2 SD in child and his/her shorter parent); secondary short stature and Turner/Prader-Willi syndrome were excluded criteria. Genetic etiology was known in 11/95 children before the study, remaining 84 were examined by next-generation sequencing. The results were evaluated by American College of Medical Genetics and Genomics (ACMG) guidelines. Nonparametric tests evaluated differences between monogenic and non-monogenic FSS, an ROC curve estimated quantitative cutoffs for the predictors. Monogenic FSS was confirmed in 36/95 (38%) children. Of these, 29 (81%) carried a causative genetic variant affecting the growth plate, 4 (11%) a variant affecting GH-insulin-like growth factor 1 (IGF1) axis and 3 (8%) a variant in miscellaneous genes. Lower shorter parent's height (P = 0.015) and less delayed bone age (BA) before GH treatment (P = 0.026) predicted monogenic FSS. In children with BA delayed less than 0.4 years and with shorter parent's heights ≤-2.4 SD, monogenic FSS was revealed in 13/16 (81%) cases. To conclude, in FSS children treated with GH, a monogenic etiology is frequent, and gene variants affecting the growth plate are the most common. Shorter parent's height and BA are clinical predictors of monogenic FSS.

• Klíčová slova
• GH treatment, familial short stature, growth plate disorders, next-generation sequencing, predictors of monogenic short stature,
• Publikační typ
• časopisecké články MeSH