Search PubMed⌕ Search

Biomedical subjects

G Thomson

Publications and source records attributed to G Thomson.

At least 55 records · Page 3Linked to original sources
PubMed1999

Evolution of HLA class II molecules: Allelic and amino acid site variability across populations.

Analysis of the highly polymorphic beta1 domains of the HLA class II molecules encoded by the DRB1, DQB1, and DPB1 loci reveals contrasting levels of diversity at the allele and amino acid site levels. Statistics of allele frequency distributions, based on Watterson's homozygosity statistic F, reveal distinct evolutionary patterns for these loci in ethnically diverse samples (26 populations for DQB1 and DRB1 and 14 for DPB1). When examined over all populations, the DQB1 locus allelic variation exhibits striking balanced polymorphism (P < 10(-4)), DRB1 shows some evidence of balancing selection (P < 0.06), and while there is overall very little evidence for selection of DPB1 allele frequencies, there is a trend in the direction of balancing selection (P < 0.08). In contrast, at the amino acid level all three loci show strong evidence of balancing selection at some sites. Averaged over polymorphic amino acid sites, DQB1 and DPB1 show similar deviation from neutrality expectations, and both exhibit more balanced polymorphic amino acid sites than DRB1. Across ethnic groups, polymorphisms at many codons show evidence for balancing selection, yet data consistent with directional selection were observed at other codons. Both antigen-binding pocket- and non-pocket-forming amino acid sites show overall deviation from neutrality for all three loci. Only in the case of DRB1 was there a significant difference between pocket- and non-pocket-forming amino acid sites. Our findings indicate that balancing selection at the MHC occurs at the level of polymorphic amino acid residues, and that in many cases this selection is consistent across populations.

Alleles↗
PubMed1999

The variance for the disequilibrium coefficient in the individual Hardy-Weinberg test.

It is of interest to detect the deviation from Hardy-Weinberg proportion (HWP) for a particular heterozygote. Hernández and Weir (1989, Biometrics 45, 53-70) suggested a disequilibrium coefficient approach and proposed a 1-d.f. chi2 test. This note derives the appropriate variance under the null hypothesis for performing this individual HWP test. Examples of applying the test to human genetic disease data are presented.

Arthritis, Rheumatoid↗
PubMed1999

Content analysis and publication outcomes of projects by public health medicine registrars.

OBJECTIVE: To examine the content of the project work of public health medicine registrars in New Zealand and identify publication outcomes. METHOD: All projects submitted during 1987-97 were examined and key aspects captured on a database. Literature searches using Medline, Health Star, Index New Zealand and the NZ National Library catalogue were undertaken. RESULTS: A total of 355 registrar projects produced by 91 registrars were identified. Only 29% of these projects were associated with one or more publications that could be identified in electronic databases commonly available to New Zealanders and only 16% of them were associated with an article in the Medline-indexed literature. A possible cause for concern is the relatively small amount of project work (6% of projects) that was directly on Maori and/or Pacific Peoples' health. There also appears to be a relative lack of project work on chronic disease epidemiology and control, tobacco control and the socio-economic determinants of health. CONCLUSIONS: Given the relatively high quality of registrar project work, a publication rate of only 29% is probably suboptimal. The subject matter of registrar projects appears to infrequently address certain major areas of public health importance including Maori and Pacific Peoples' health. IMPLICATIONS: Consideration should be given to addressing these issues by those involved in public health medicine training.

Bibliometrics↗
PubMed1999

Association between type 1 diabetes age of onset and HLA among sibling pairs.

In this study, we report type 1 diabetes age-of-onset association with HLA class II (DRB1, DQB1, and DPB1) and class I (A) genes in 222 multiplex families from the Human Biological Data Interchange. Linear regression showed a small (R2 = 0.26) but significant correlation in the ages of onset among sib pairs. A strong association in age of onset between members of sib pairs was observed when the analysis was performed using contingency tables that split sibs into three age-at-onset ranges (0-10, 11-20, and 21-36 years). The association is strongest for sib pairs that share both haplotypes and is nonsignificant for sib pairs that do not share any DR-DQ haplotypes. A goodness-of-fit test revealed that DR-DQ haplotype sharing cannot account for all the association in age of onset among sib pairs. The age-of-onset distribution of DR-DQ haplotypes is affected by the DPB1 and A alleles present. The strongest associations were found with the A locus: DR3/DR4 genotype frequency decreases with age of onset in this data set only among A*0101- individuals, and A*2402 is strongly associated with younger age of onset in many DR-DQ haplotypes.

Adolescent↗
PubMed1999

The genetics of complex diseases.

Genetic factors influence virtually every human disorder, determining disease susceptibility or resistance and interactions with environmental factors. Our recent successes in the genetic mapping and identification of the molecular basis of mendelian traits have been remarkable. Now, attention is rapidly shifting to more-complex, and more-prevalent, genetic disorders and traits that involve multiple genes and environmental effects, such as cardiovascular disease, diabetes, rheumatoid arthritis and schizophrenia. Rather than being due to specific and relatively rare mutations, complex diseases and traits result principally from genetic variation that is relatively common in the general population. Unfortunately, despite extensive efforts by many groups, only a few genetic regions and genes involved in complex diseases have been identified. Completion of the human genome sequence will be a seminal accomplishment, but it will not provide an immediate solution to the genetics of complex traits.

Animals↗
PubMed1998

HLA haplotype sharing in rheumatoid arthritis sibships: risk estimates subdivided by proband genotype.

There is a well-known association between rheumatoid arthritis (RA) and HLA-DR4. Recent research has indicated that both DR4 haplotypes are important in disease predisposition (favoring a recessive mode of inheritance). Others have suggested that certain combinations of genotypes, in particular Dw4/Dw14 heterozygotes, may be more important than others. We examined the mode of inheritance of RA using data from the Arthritis and Rheumatism Council's national repository of family material [Worthington et al. (1994) Br J Rheumatol 33:970-976]. There were 85 affected sibships consisting of 77 sib pairs, 6 trios, 1 quintuplet, and 1 sextuplet. The affected sibs shared two, one, and zero parental HLA haplotypes in a ratio of 0.42:0.43:0.15, which was significantly different from random expectations (P = 0.00009). Risk estimates for RA to sibs were calculated based on an overall sibling recurrence risk of 3.9%. Risks for those sharing two, one, and zero parental HLA haplotypes were 6.5% [95% confidence interval (CI) = 5.1-7.9%], 3.3% (95% CI = 2.6-4.0%), and 2.5% (95% CI = 1.5-3.5%), respectively. We also examined the risk of RA based on the DRbeta1 genotype status of sib and proband. After excluding genotypic combinations with small numbers, the highest genotype-specific risks were seen for sibs sharing two haplotypes with either a DRbeta1*0401/DRbeta1*0404 (12.5%, 95% CI = 6.9-15.2%) or a DRbeta1*0401/DRbeta1*0408 (11.1%, 95% CI = 4.5-15.1%) proband. An independent assessment based on the AGFAP methodology confirmed the increase in risk for these genotypes, in particular for DRbeta1*0401/DRbeta1*0408. The excess being due to *0401/*0408 rather than to *0401/*0404 may explain why the Dw4/Dw14 effect is not always observed.

Alleles↗
PubMed1998

Constrained disequilibrium values and hitchhiking in a three-locus system.

Positive selection on a new mutant allele can increase the frequencies of closely linked alleles (through hitchhiking), as well as create linkage disequilibrium between them. Because this disequilibrium is induced by the selected allele, one may be able to identify loci under selection by measuring the influence of a candidate locus on pairwise disequilibrium values at nearby loci. The constrained disequilibrium values (CDV) method approaches this problem by examining differences in pairwise disequilibrium values, which have been normalized for two- and three-locus systems, respectively. We have investigated in detail the reliability of inferences based on CDV, using simulation and analytical methods. Our main results are (i) in some circumstances, CDV may not distinguish well between a selected locus and a neighboring neutral locus, but (ii) CDV seldom indicates "selection" in neutral haplotypes with moderate to large 4Nc. We conclude that, although the CDV method does not appear to precisely locate selected alleles, it can be used to screen for regions in which hitchhiking is a plausible hypothesis. We present a microsatellite data set from human chromosome 6, in which constrained disequilibrium values suggest the action of selection in a region containing the human leukocyte antigen (HLA)-A and myelin oligodendrocyte glycoprotein (MOG) loci. The connection between hitchhiking and disequilibrium has received relatively little attention, so our investigation presents opportunities to address more general issues.

Alleles↗
PubMed1997

Chromosome 19 single-locus and multilocus haplotype associations with multiple sclerosis. Evidence of a new susceptibility locus in Caucasian and Chinese patients.

CONTEXT: Susceptibility to multiple sclerosis (MS) involves a genetically complex autoimmune component. However, except for genes in the HLA system, specific susceptibility loci are unknown or unconfirmed. OBJECTIVE: To investigate several loci spanning 3 candidate regions for a role in multiple sclerosis (MS) susceptibility in 2 ethnic groups using both single-locus and haplotype analyses. The 3 regions include HLA on chromosome 6p21.3, APOE on chromosome 19ql 3.2, and MBP(myelin basic protein) on chromosome 18q23. DESIGN: Case-control association testing. SUBJECTS: A total of 120 Caucasian patients with MS and 107 unrelated control individuals from California, and 32 patients and 32 unrelated control individuals from Beijing, China. All patients with MS were diagnosed as having clinically definite disease according to published criteria. MAIN OUTCOME MEASURES: Chi2 Testing of loci and individual alleles and haplotypes. Haplotype frequencies were estimated with standard maximum likelihood methods. RESULTS: The HLA effect is due to the class II DR2 haplotype, DRB1*1501-DQA1*0102-DRB1*0602; contributions to MS susceptibility from additional DRB1-DQB1 alleles or other HLA region loci were not observed. Variation within the MBP locus on chromosome 18q23 showed no effect in MS. The distribution of haplotypes from 5 loci within the chromosome 19q13.2 region, including D19S178, D19S574, APOE, APOC2, and D19S219, differed between patient and control samples. D19S574 showed a significant effect (P=.015) in Caucasian patients with MS due to the increased frequency of a single allele (P=.002). The APOE variation, prominent in other neurological diseases, showed no influence on MS susceptibility, despite its location within the chromosome 19q13.2 region. Interaction effects between DR2 and chromosome 19q13.2 or MBP in MS susceptibility were not apparent. CONCLUSIONS: The significant chromosome 19q13.2 single-locus and multilocus haplotype associations with MS in Caucasian and Chinese patient samples indicate an effect from a nearby disease susceptibility locus. These initial observations are an encouraging step toward the description of non-HLA genetic susceptibility to MS.

Alleles↗
PubMed1997

Validation of a model describing the effects of temperature and water activity on the growth of psychrotrophic pseudomonads.

The reliability of the predictive model for the growth of psychrotrophic pseudomonads was evaluated both under controlled laboratory conditions and in industry conditions using various milks, milk-based products, meat and meat products. The validation process involved monitoring the growth of pseudomonads at various temperatures and comparing the observed generation times to those predicted by the model using bias and accuracy factors. For fluctuating temperatures bias and accuracy factors were used to compare the predicted and observed times to reach various population densities. The psychrotrophic pseudomonad model was shown to predict accurately the growth of pseudomonads in the products tested. In some instances knowledge of the lag phase duration was required to maximise the performance of the model.

Animals↗
PubMed1997

Dose titration during anti-thymocyte globulin therapy: monitoring by CD3 count or total lymphocyte count?

Anti-thymocyte globulin (ATG) is extensively used for both prophylaxis and treatment of rejection episodes in renal transplantation, but it is expensive and potentially hazardous. We report the utility of therapeutic monitoring by the readily available total lymphocyte count, compared with the more complex and expensive assay of CD3 counts by flow cytometry in eight renal transplant patients receiving ATG. Aiming for an absolute CD3 count of 0.2-0.5 x 10(9)/l, it was possible to reduce the mean daily dose of ATG from the recommended 2.5 mg/kg/d to a mean of 1.6 mg/kg/d. Analysis of simultaneously taken total lymphocyte counts showed that the same dose reductions could have been made if the target for therapeutic effect had been a total lymphocyte count of < 0.3 x 10(9)/l. Anti-rejection therapy was successful in all cases, with satisfactory graft function at 6-9 months post-therapy. Lower than recommended doses of ATG proved effective prophylaxis and treatment of renal allograft rejection, with considerable cost savings. A simple protocol may be followed titrating dose against total lymphocyte count, provided it remains below 0.3 x 10(9)/l. CD3 estimation can be reserved for those times when the total lymphocyte count rises to 0.3 x 10(9)/l or above.

Antigens, CD19↗
PubMed1997

Association mapping of disease loci, by use of a pooled DNA genomic screen.

Genomic screening to map disease loci by association requires automation, pooling of DNA samples, and 3,000-6,000 highly polymorphic, evenly spaced microsatellite markers. Case-control samples can be used in an initial screen, followed by family-based data to confirm marker associations. Association mapping is relevant to genetic studies of complex diseases in which linkage analysis may be less effective and to cases in which multigenerational data are difficult to obtain, including rare or late-onset conditions and infectious diseases. The method can also be used effectively to follow up and confirm regions identified in linkage studies or to investigate candidate disease loci. Study designs can incorporate disease heterogeneity and interaction effects by appropriate subdivision of samples before screening. Here we report use of pooled DNA amplifications-the accurate determination of marker-disease associations for both case-control and nuclear family-based data-including application of correction methods for stutter artifact and preferential amplification. These issues, combined with a discussion of both statistical power and experimental design to define the necessary requirements for detecting of disease loci while virtually eliminating false positives, suggest the feasibility and efficiency of association mapping using pooled DNA screening.

Case-Control Studies↗
PubMed1997

African-American HLA class II allele and haplotype diversity.

Molecular genetic techniques were used to type nine loci in the HLA class II region in 241 unrelated African-Americans from New York City (NYC). Several effects attributable to recent genetic admixture were evident: the number of distinct class II alleles and haplotypes was larger in the African-Americans than in people of African or European origin, the allele frequencies were more consistently even, and linkage disequilibrium was present across the entire class II region. The African-American DRB1 allele frequencies almost always fell between frequencies among samples from northern Europe and the Gambia, two possible founding populations. The exceptions are attributed to the contribution of other genetically dissimilar African groups to the African-American gene pool. DRB1 allele frequencies (specifically DRB1*1501) and some haplotypes of DRB1-DPB1 were different in our NYC and the 11th International Histocompatibility Workshop (IHW) samples of African-Americans. The high level of allele and haplotype diversity found in African-Americans has important implications for the construction of pools of unrelated potential donors for tissue transplantation.

Alleles↗
PubMed1997

Detecting disease-predisposing variants: the haplotype method.

For many HLA-associated diseases, multiple alleles-- and, in some cases, multiple loci--have been suggested as the causative agents. The haplotype method for identifying disease-predisposing amino acids in a genetic region is a stratification analysis. We show that, for each haplotype combination containing all the amino acid sites involved in the disease process, the relative frequencies of amino acid variants at sites not involved in disease but in linkage disequilibrium with the disease-predisposing sites are expected to be the same in patients and controls. The haplotype method is robust to mode of inheritance and penetrance of the disease and can be used to determine unequivocally whether all amino acid sites involved in the disease have not been identified. Using a resampling technique, we developed a statistical test that takes account of the nonindependence of the sites sampled. Further, when multiple sites in the genetic region are involved in disease, the test statistic gives a closer fit to the null expectation when some--compared with none--of the true predisposing factors are included in the haplotype analysis. Although the haplotype method cannot distinguish between very highly correlated sites in one population, ethnic comparisons may help identify the true predisposing factors. The haplotype method was applied to insulin-dependent diabetes mellitus (IDDM) HLA class II DQA1-DQB1 data from Caucasian, African, and Japanese populations. Our results indicate that the combination DQA1#52 (Arg predisposing) DQB1#57 (Asp protective), which has been proposed as an important IDDM agent, does not include all the predisposing elements. With rheumatoid arthritis HLA class II DRB1 data, the results were consistent with the shared-epitope hypothesis.

Amino Acids↗
PubMed1997

HLA class II DR-DQ amino acids and insulin-dependent diabetes mellitus: application of the haplotype method.

Insulin-dependent diabetes mellitus (IDDM) HLA class II DRB1-DQA1-DQB1 data from four populations (Norwegian, Sardinian, Mexican American, and Taiwanese) have been analyzed to detect the amino acids involved in the disease process. The combination of sites DRB1#67 and 86; DQA1#47; and DQB1#9, 26, 57, and 70 predicts the IDDM component in these four populations, when the results and criteria of the haplotype method for amino acids, developed in the companion paper in this issue of the Journal, are used. The following sites, either individually, or in various combinations, previously have been suggested as IDDM components: DRB1#57, 70, 71, and 86; DQA1#52; and DQB1#13, 45, and 57 (DQB1#13 and 45 correlates 100% with DQB1#9 and 26). We propose that DQA1#47 is a better predictor of IDDM than is the previously suggested DQA1#52, and we add DRB1#67 and DQB1#70 to the HLA DR-DQ IDDM amino acids. We do not claim to have identified all HLA DR-DQ amino acids-or highly correlated sites-involved in IDDM. The frequencies and predisposing/protective effects of the haplotypes defined by these seven sites have been compared, and the effects on IDDM are consistent across the populations. The strongest susceptible effects came from haplotypes DRB1 *0301/DQA1 *0501/ DQB1*0201 and DRB1*0401-5-7-8/DQA1*0301/ DQB1*0302. The number of strong protective haplotypes observed was larger than the number of susceptible ones; some of the predisposing haplotypes were present in only one or two populations. Although the sites under consideration do not necessarily have a functional involvement in IDDM, they should be highly associated with such sites and should prove to be useful in risk assessment.

Amino Acids↗
PubMed1996

Healing all the king's men: medical treatment at Fortress Louisbourg, 1744.

When the CMA General Council meets in Cape Breton, NS, Aug. 18-21, physicians will have an opportunity to visit the largest reconstructed colonial town in North America, which is only 40 km from the meeting site in Sydney. This article looks at the medical treatment available at the historic Fortress of Louisbourg in 1744, when it was France's Atlantic coast bastion.

Clergy↗
PubMed1996

Susceptibility to insulin-dependent diabetes mellitus maps to a locus (IDDM11) on human chromosome 14q24.3-q31.

To locate genes predisposing to insulin-dependent diabetes mellitus (IDDM), an autoimmune disorder resulting from destruction of the insulin-producing pancreatic cells, we are testing linkage of IDDM susceptibility to polymorphic markers across the genome using families with two or more IDDM children. A new susceptibility locus (IDDM11) has been localized to chromosome 14q24.3-q31 by detection of significant linkage to microsatellite D14S67, using both maximum likelihood methods (LODmax = 4.0 at Theta = 0.20) and affected sib pair (ASP) methods (P = 1 x 10(-5)). This represents the strongest reported evidence for linkage to any IDDM locus outside the HLA region. The subset of families in which affected children did not show increased sharing of HLA genes (HLA sharing </= 50%) provided most of the support for D14S67 linkage (LODmax 4.6 at Theta = 0.12; ASP P < 5 x 10(-6)). There was significant linkage heterogeneity between the HLA-defined subsets of families (P = 0.009), suggesting that IDDM11 may be an important susceptibility locus in families lacking strong HLA region predisposition.

Base Sequence↗