2,467 research outputs found
Genome scanning of breast cancers by two-dimensional DNA typing.
We have recently used two-dimensional DNA typing to detect genetic alterations in breast tumours. This method, which is based on size separation in neutral gels and sequence separation in denaturing gradient gels followed by hybridisation analysis with mini- and microsatellite core probes, allows the simultaneous analysis of hundreds of allelic fragments in a very short time. Here we demonstrate the potency of this method for total genome scanning of the tumour genome by analysing a small series of breast cancers. Comparison of tumour and normal DNA from ten breast cancer patients, using two-dimensional DNA typing with four core probes, revealed a considerable number of genomic alterations. In contrast, with Southern blot analysis only a few alterations were observed using the same probes. Most of the changes observed (74%) were deletions (absence of spots in the tumour) while 20% corresponded to amplifications (spots of higher intensity in the tumour) and 5% were new spots (gains). About 10% of the genomic changes detected appeared to occur in the tumours of more than one patient
Ethnic Variation in Haplotype Structure of the Complete VDR Gene and Association with Fracture Risk
Ethnic Variation in Haplotype Structure of the Complete VDR Gene and Association with Fracture Risk
Опыт применения криохирургии в гинекологии
Приведены результаты применения низких температур для лечения ряда гинекологических заболеваний и обоснована необходимость широкого внедрения криогенного метода лечения в клиническую практику.The results of low temperature application in treatment of a number of gynecological diseases are presented, the necessity of wide introduction of cryogenic treatment into clinical practice is substantiated
Influence of Dietary Approaches to Stop Hypertension-Type Diet, Known Genetic Variants and Their Interplay on Blood Pressure in Early Childhood ABCD Study
There is limited evidence on association between adherence to the Dietary Approaches to Stop Hypertension (DASH diet) and a lower blood pressure (BP) in children. In a population-based cohort study, among 1068 Dutch children aged 5 to 7, we evaluated the association between a DASH-type diet, 29 known genetic variants incorporated in a genetic risk score, and their interaction on BP. We calculated DASH score based on the food intake data measured through a validated 71-item food frequency questionnaire. In our sample, DASH score ranged from 9 (low adherence to the DASH diet) to 33 (median=21), and genetic score ranged from 18 (low genetic risk on high BP) to 41 (median=29). After adjustment for covariates, each 10 unit increase in DASH score was associated with a lower systolic BP of 0.7 mm Hg (P=0.033). DASH score was negatively associated with hypertension (odds ratio=0.96 [0.92-0.99], P=0.044). Similarly, each SD increment in genetic score was associated with 0.5 mm Hg higher diastolic BP (P=0.002). We found a positive interaction between low DASH score and high genetic score on diastolic BP adjusted for BP risk factors (β=1.52, Pinteraction=0.019 in additive scale and β=0.03, Pinteraction=0.021 in multiplicative scale). Our findings show that adherence to the DASH-type diet, as well as a low (adult-derived) genetic risk profile for BP, is associated with lower BP in children and that the genetic basis of BP phenotypes at least partly overlaps between adults and children. In addition, we found evidence of a gene-diet interaction on BP in children
Genome-wide association studies identify multiple genetic loci influencing eyebrow color variation in Europeans
Breast-Feeding Modifies the Association of PPARγ2 Polymorphism Pro12Ala With Growth in Early Life: The Generation R Study
OBJECTIVE-We examined whether the PPARyγ2 Ala12 allele influences growth in early life and whether this association is modified by breast-feeding. RESEARCH DESIGN AND METHODS-This study was embedded in the Generation R Study, a prospective cohort study from early fetal life onward. PPARy2 was genotyped in DNA obtained from cord blood samples in 3,432 children. Information about breast-feeding was available from questionnaires. Weight, head circumference, and femur length were repeatedly measured in second and third trimesters of pregnancy, at birth, and at the ages of 1.5, 6, 11, 14, and 18 months. RESULTS-Genotype frequency distribution was 77.6% (Pro12Pro), 20.7% (Pro12Ala), and 1.7% (Ala12Ala). Growth rates in weight from second trimester of pregnancy to 18 months were higher for Pro12Ala and Ala12Ala than for Pro12Pro carriers (differences 1.11 g/week [95% CI 0.47-1.74] and 2.65 g/week [0.45-4.87], respectively). We found an interaction between genotype and breast-feeding duration (P value for interaction nths, PPARy2 Pro12Ala was not associated with growth rate. When breast-feeding duration was <2 months or 2-4 months, growth rate was higher in Ala12Ala than Pro12Pro carriers (differences 9.80 g/week [3.97-15.63] and 6.32 g/week [-1.04 to 13.68], respectively). CONCLUSIONS-The PPAR7gamma;2 Ala12 allele is associated with an increased growth rate in early life. This effect may be influenced by breast-feeding duration. Further studies should replicate these findings, identify the underlying mechanisms, and assess whether these effects persist into later life
Exercise with food withdrawal at thermoneutrality impacts fuel use, the microbiome, AMPK phosphorylation, muscle fibers, and thyroid hormone levels in rats
GRIMP: A web- and grid-based tool for high-speed analysis of large-scale genome-wide association using imputed data.
The current fast growth of genome-wide association
studies (GWAS) combined with now common computationally
expensive imputation requires the online access of large user groups to high-performance computing resources capable of analyzing rapidly and efficiently millions of genetic markers for ten thousands of individuals. Here, we present a web-based interface—called GRIMP—to run publicly available genetic software for extremely large GWAS on scalable super-computing grid infrastructures. This is of major importance for the enlargement of GWAS with the availability
of whole-genome sequence data from the 1000 Genomes Project
and for future whole-population efforts
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