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R Whittall

Publications and source records attributed to R Whittall.

8 recordsLinked to original sources
PubMed2007

Common adiponectin gene variants show different effects on risk of cardiovascular disease and type 2 diabetes in European subjects.

Alterations in the secretion of adipokines may explain the link between obesity, type 2 diabetes (T2DM) and coronary artery disease (CAD). These conditions have been associated with variation in the adiponectin gene, although evidence for this relationship has been variable, with differences found even in similar samples. This study aims to clarify these inconsistencies by determining the impact of identified adiponectin gene (ADIPOQ) variants (-11391G>A,-1377C>G[promoter] and +45T>G[exon 2] and +276G>T[intron 2]) on the prospective risk of CAD and T2DM in healthy men, and on adverse metabolic markers, in myocardial infarct survivors and controls from different parts of Europe. The hazard ratio for cardiovascular disease varied across the -11391GG/GA/AA(p = 0.03) and -11371CC/CG/GG(p = 0.05) genotypes only. In contrast, only the +45T>G variant (3.80[1.76-8.24]) was associated with T2DM, while two haplotypes GCTT/GCGG (p < 0.05) and +276G>T(p = 0.01) increased risk in interaction with obesity. The variants were associated with a number of biomarkers in Southern but not Northern Europe (p = 0.01), despite no significant differences in allele or haplotype frequencies (p > 0.44). A risk haplotype could not be identified in either sample. Adiponectin gene variants are hence currently poor markers for the development of T2DM and CAD. Their influence on risk depends significantly on interactions that are not currently understood with either genetic variation elsewhere or the environment of the sample studied.

Adiponectin↗
PubMed1997

Single-strand conformation polymorphism analysis with high throughput modifications, and its use in mutation detection in familial hypercholesterolemia. The IFCC Scientific Division: Committee on Molecular Biology Techniques.

The identification of the specific mutation causing an inherited disease in a patient is the framework for the development of a rationale for therapy and of DNA-based tests for screening relatives. We present here a review of the single-strand conformational polymorphism (SSCP) method, which allows DNA fragments that have been amplified with specific primers and PCR to be scanned rapidly for any sequence variation. The general principles of the method are described, as are the major factors that must be considered in developing an optimal SSCP strategy, namely length of the PCR fragment and the temperature of the gel run. Options for sample denaturing gel characteristics and detection of DNA fragments are discussed. In addition, several modifications are presented that have been developed for high-throughput mutational analysis. The application of these techniques to screen for mutations in the LDL receptor gene in patients with familial hypercholesterolemia are described.

DNA↗
PubMed1997

Single-strand conformation polymorphism analysis with high throughput modifications, and its use in mutation detection in familial hypercholesterolemia. International Federation of Clinical Chemistry Scientific Division: Committee on Molecular Biology Techniques.

The identification of the specific mutation causing an inherited disease in a patient is the framework for the development of a rationale for therapy and of DNA-based tests for screening relatives. We present here a review of the single-strand conformational polymorphism (SSCP) method, which allows DNA fragments that have been amplified with specific primers and PCR to be scanned rapidly for any sequence variation. The general principles of the method are described, as are the major factors that must be considered in developing an optimal SSCP strategy, namely the length of the PCR fragment and the temperature of the gel run. Options for sample denaturing gel characteristics and detection of DNA fragments are discussed. In addition, several modifications are presented that have been developed for high-throughput mutational analysis. The application of these techniques to screen for mutations in the LDL receptor gene in patients with familial hypercholesterolemia are described.

DNA↗
PubMed1995

Utilities for high throughput use of the single strand conformational polymorphism method: screening of 791 patients with familial hypercholesterolaemia for mutations in exon 3 of the low density lipoprotein receptor gene.

We have modified several aspects of the single strand conformational polymorphism (SSCP) method to increase the speed with which the technique can be used for mutation detection. The methods attain high resolution of small mobility differences using long (30 cm) gels and use a modified polymerase reaction to maximise detection sensitivity using a minimised quantity of 32P. By using custom cut "sharktooth" combs (4.5 mm between teeth) as the slot formers, commercially available multichannel pipettes (9 mm tip to tip) can be used to load eight or 12 samples at a time from standard microtitre plates. PCR products that have been prepared and radiolabelled using simplified protocols are loaded on to the gel, and after a precalculated time of electrophoresis another set of samples can be loaded, either with combs moved across 2.25 mm or onto the same gel tracks. The run conditions are calculated so that there is no overlap between the bands produced by the two loadings, thus doubling the amount of information that can be gained from one gel. A computer program has been developed to solve equations to determine suitable timings for repetitive loadings. Finally, a modification of the gel pouring system is described so that two gels can be poured between three standard glass plates, with both gels run simultaneously. Of the order of 1000 PCR reactions can be prepared and analysed in 24 man hours using five 40 cm x 30 cm gel tanks. The application of these techniques is described to detect SSCPs in exon 3 of the low density lipoprotein receptor (LDLR) gene in 791 patients with familial hypercholesterolaemia (FH). Eight different SSCP patterns were seen, one of which was caused by the previously described E80K mutation, which was present in 11 patients (1.4%). In total, 32 patients (4%) were identified with exon 3 mutations.

Alleles↗
PubMed1987

Whole-body protein turnover in adult hemodialysis patients as measured by 13C-leucine.

Muscle wasting may occur in patients with chronic renal failure (CRF). To determine whether this is due to a decrease in the synthesis or an increase in the breakdown of muscle protein, we evaluated postabsorptive whole-body protein breakdown, oxidation, and synthesis rates at steady state during a primed, continuous infusion of 13C-leucine. This was done in seven subjects on chronic maintenance hemodialysis (MHD) and in seven normal control subjects. The protein breakdown rate in MHD was not different from that in controls (103 +/- 19 and 106 +/- 19 mumol leucine.kg-1.h-1, respectively). In MHD, however, the protein oxidation rate was 43% greater than that in controls (20 +/- 6 and 14 +/- 4 mumol leucine.kg-1.h-1, p less than 0.05), whereas net protein synthesis was less (p less than 0.05). Reduced net synthesis and increased oxidation rates of protein in the postabsorptive state may therefore contribute to the muscle-wasting syndrome in patients with CRF.

Adult↗
PubMed1981

There are approximately 20 actin gene in the human genome.

By three different lines of evidence there are approximately 20 copies of actin genes in the human genome. Firstly, the rate of hybridisation of a mouse actin probe to human DNA indicates that there are a minimum of 20 complementary copies of the actin sequence per genome. Secondly, this probe hybridises to 17-20 bands in Southern blots of restriction enzyme digests of total human DNA. Most of these bands hybridise with both 3' and 5' fragments of the cDNA and are therefore likely to contain the entire gene sequence. Thirdly, we have picked 12 actin recombinants from a genomic library, and at the level of restriction enzymes mapping these represent nine different genes. Probability calculations indicate that these recombinants were picked from a pool of at least 20 different genes.

Actins↗