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D C Shields

Publications and source records attributed to D C Shields.

At least 73 records · Page 4Linked to original sources

A genetic defect in 5,10 methylenetetrahydrofolate reductase in neural tube defects.

It is now well-established that folic acid, taken peri-conceptionally, can reduce the risk of neural tube defects (NTDs). Recent work has demonstrated that an abnormality of homocysteine metabolism is a critical factor. The gene for 5,10 methylenetetrahydrofolate reductase, an enzyme important in homocysteine metabolism, was studied in relation to NTDs. To determine the frequency of the allele for the thermolabile form of the reductase, DNA samples were collected from people with NTDs, parents of people with NTDs, and normal controls. Of 82 people with NTDs, 15 (18.3%) were homozygous for the abnormal, thermolabile allele. This was significantly higher (p = 0.01) than the rate of 6.1% in the control population (odds ratio 3.47, 95% CI 1.28-9.41). This is the first specific genetic abnormality to be identified in NTDs. It explains the association between some NTDs and elevated homocysteine, given that the reductase is important in homocysteine metabolism. It also explains how folic acid supplementation prevents some NTDs, by overcoming a partial block in the conversion of 5,10 methylenetetrahydrofolate to 5 methyltetrahydrofolate. Genetic screening could identify women who will require folic acid supplements to reduce their risk of having a child with an NTD.

Case-Control Studies↗

Family studies of non-insulin-dependent diabetes mellitus in South Indians.

Though a genetic basis for non-insulin-dependent diabetes mellitus (NIDDM) is clear, the likely mode of inheritance is not known. The segregation of NIDDM was studied in 64 nuclear South Indian pedigrees (449 individuals) ascertained through an affected proband having both parents and more than 1 sibling alive and available for oral glucose tolerance testing. A high proportion of parents were found to be of abnormal glucose tolerance [89 of 128 (70%) diabetic and 11 of 128 (9%) impaired]. Complex segregation analysis was performed using (1) POINTER which implements the mixed model and distinguishes major gene, multifactorial and non-transmitted environmental contributions to affection and (2) COMDS which implements an oligogenic model with major gene, modifier gene and environmental contributions to a) affection and b) diathesis (an ordered polychotomy amongst non-affected family members, based on 2-h plasma glucose level). Using POINTER, there was no formal support for a major gene and the most parsimonious solutions were achieved with multifactorial models. Using COMDS, we found i) significant improvements in models when information on glucose levels in nondiabetic family members (diathesis) was included, ii) support for segregation of a diallelic gene as well as background familial resemblance, and iii) under the best-supported model, this diallelic locus featured incomplete dominance (d = 0.8) and a disease-predisposing allele frequency of 14%. In South Indians, segregation of NIDDM is inadequately described by simple major gene models: more complex models provide more satisfactory descriptions. This finding, if applicable in other populations, has important implications for the search for diabetes-susceptibility genes.

Blood Glucose↗

Segregation analysis of NIDDM in Caucasian families.

Non-insulin-dependent diabetes mellitus (NIDDM) has a substantial genetic component, but the mode of inheritance and the molecular basis are unknown. We have undertaken segregation analysis of NIDDM after studying 247 subjects in 59 Caucasian nuclear pedigrees ascertained without regard to family history of the disorder. The analyses were performed using POINTER and COMDS, which are computer programs which apply statistical models to the data. POINTER analysis was performed defining the phenotype as a presence or absence of hyperglycaemia. Among single locus hypothesis, the analyses rejected a recessive model and favoured a dominant model, but could not statistically show that this fitted better than a mixed model (a single locus against a polygenic background) or a polygenic model. COMDS analysis assumed a continuum of hyperglycaemia from normality to NIDDM, classified family members into a series of diathesis classes with increasing plasma glucose levels and compared the distribution with that found by screening the normal population. This analysis improved the likelihood of a dominant single locus model and suggested a gene frequency of 7.4%. It raised the possibility of a second locus, but cannot identify or exclude a polygenic model. In conclusion, two types of segregation analyses rejected a recessive model and favoured a dominant model of inheritance, although they could not statistically show that this fitted better than the polygenic model. The results raised the possibility of a common dominant gene with incomplete penetrance, but genetic analysis of NIDDM needs to take into account the likelihood of polygenic inheritance with genetic heterogeneity.

Adult↗

Segregation analysis of complex phenotypes: an application to schizophrenia and auditory P300 latency.

Traditional models of the genetic transmission of human diseases have often assumed that the phenotype is a simple dichotomous trait, which is unrealistic for many psychiatric conditions, and may result in loss of valuable information. We describe a new model for complex phenotypes, implemented in the program COMDS, which subclassifies normal and affected individuals into polychotomies correlated with the underlying genetic liability to the disorder. The model is applied to 18 Scottish pedigrees ascertained for schizophrenia, in which auditory P300 latency had been measured as a possible correlate of the genetic predisposition to schizophrenia. The results suggest that there may be a major locus for schizophrenia, but that there are also other familial determinants, possibly a second modifier locus. In addition, the results indicate that auditory P300 latency may be a useful measure of the genetic predisposition to schizophrenia among asymptomatic relatives, although the relationship between P300 latency and the degree of genetic predisposition in clinical cases was not significant, presumably because other factors are operating on P300 latency. Because of the possible selection biases in this sample, there is a need to replicate these findings in systematically ascertained pedigrees.

Discriminant Analysis↗

Combined segregation and linkage analysis of Graves disease with a thyroid autoantibody diathesis.

Combined segregation and linkage analysis is a powerful technique for modeling linkage to diseases whose etiology is more complex than the effect of a well-described single genetic locus and for investigating the influence of single genes on various aspects of the disease phenotype. Graves disease is familial and is associated with human leukocyte antigen (HLA) allele DR3. Probands with Graves disease, as well as close relatives, have raised levels of thyroid autoantibodies. This phenotypic information additional to affection status may be considered by the computer program COMDS for combined segregation and linkage analysis, when normals are classified into diathesis classes of increasing thyroid autoantibody titer. The ordinal model considers the cumulative odds of lying in successive classes, and a single additional parameter is introduced for each gene modeled. Distributional assumptions are avoided by providing estimates of the population frequencies of each class. Evidence for linkage was increased by considering the thyroid autoantibody diathesis and by testing two-locus models. The analysis revealed evidence for linkage to HLA-DR when the strong coupling of the linked locus to allele DR3 was considered (lod score of 6.6). Linkage analysis of the residual variation revealed no evidence of linkage to Gm, but a suggestion of linkage to Km.

Adolescent↗

Integration of gene maps: chromosome 1.

A composite map of 177 loci has been constructed in two steps. The first combined pairwise logarithm-of-odds scores on 127 loci into a comprehensive genetic map. Then this map was projected onto the physical map through cytogenetic assignments, and the small amount of physical data was interpolated for an additional 50 loci each of which had been assigned to an interval of less than 10 megabases. The resulting composite map is on the physical scale with a resolution of 1.5 megabases. In the future these methods may be used to incorporate locations from linkage, contigs, radiation hybrids, restriction fragments, and somatic cell maps. Dense, reliable, and well-documented maps are essential for long-range sequencing and to localize and clone disease genes.

Animals↗

A family with X-linked deafness showing linkage to the proximal Xq region of the X chromosome.

Linkage analysis has been carried out in a family with severe congenital sensorineural deafness with a structural abnormality of the inner ear. Recombinations show the gene responsible for deafness in this family to lie between the loci DXS255 (Xp11.22) and DXS94 (Xq22). Close linkage was found to locus DXS159 (cpX289) in Xq12, with a LOD score of 3.155 and 0 recombination. This location is consistent with other linkage studies of X-linked deafness.

Chromosome Mapping↗

The CEPH consortium linkage map of human chromosome 2.

This paper describes the Centre d'Etude du Polymorphisme Humain (CEPH) consortium linkage map of chromosome 2. The map contains 36 loci defined by genotyping generated from the CEPH family DNAs. A total of 73 different markers were typed by 14 contributing laboratories; of these, 36 loci are ordered on the map with likelihood support of at least 1000:1. Markers are placed along the length of the chromosome but no markers were available to anchor the map at either telomere or the centromere. Multilocus linkage analysis has produced male, female, and sex-averaged maps extending for 261, 430, and 328 cM, respectively. The sex-averaged map contains five intervals greater than 15 cM and the mean genetic distance between the 36 uniquely placed loci is 9.1 cM.

Chromosome Mapping↗

GCWIND: a microcomputer program for identifying open reading frames according to codon positional G+C content.

GCWIND is a microcomputer (IBM-PC compatible) program for the identification of protein-coding open reading frames. The program is similar to the FRAME program, but the latter has only been implemented for a specialized graphics package. The base compositions (%G+C) for each of the three possible reading phases through the DNA sequence are displayed separately, together with the positions of potential translation initiation and termination codons (on the leading and complementary strands), to provide an immediate representation of those regions within the sequence that have coding potential.

Codon↗

Algorithms for a location database.

The algorithms that drive the ldb location database are described. The program captures data on genetic and physical maps and combines information from different sources into a summary map. To assure portability it was developed in Fortran on a SUN SPARCStation under Unix. The algorithms, which combine rule-based seriation with a minimum deviance bootstrap, allow investigators and chromosome committees to produce a composite location in Mb that integrates partial maps. The program and manual are now available from the authors.

Algorithms↗

Error filtration, interference, and the human linkage map.

Typing error is a major problem in constructing human linkage maps, leading to incorrect orders and inflating map lengths. An error filter is incorporated into multiple pairwise analysis that corrects for inflation of map lengths and improves recovery of the correct order. Multipoint mapping is more sensitive to error, but when its output is adjusted for both error and interference, map lengths are no longer inflated in proportion to the number of loci and are close to those obtained by multiple pairwise analysis.

Algorithms↗

Genetic epidemiology of complex phenotypes.

A theory is given for complex phenotypes represented by an ordered polychotomy separately for affected (as severity) and for normals (as diathesis), with consideration of history, ascertainment, sampling frames, and phenotype systems. Nonrandom selection of probands by severity is permitted. Both probit and logistic models are developed in a form compatible with segregation and/or linkage analysis. Probabilities are set out in detail in the Appendix. This approach avoids problems that have been encountered with quantitative traits and correlated phenotypes, although using this information.

Genetics, Population↗

Switches in species-specific codon preferences: the influence of mutation biases.

A model of synonymous codon usage is developed in which the most frequent codons are selectively advantageous because of their coadaptation with tRNA abundances. Random drift opposes the progress of this coevolution by pushing codon frequencies in the direction of the frequency that would result from mutation in the absence of selection. It is predicted that, within a certain range, an increased mutation bias away from an advantageous codon has little influence on its usage in highly expressed genes. However, a subsequent small increase in mutation bias over a critical range leads to a large reduction in the frequency of the codon. The switch in preference from one synonym to another is a sharp transition, with no stable intermediate state in which neither codon is advantageous. Codon usage patterns were compared among three related bacterial species of differing genomic G & C contents, Escherichia coli, Serratia marcescens, and Proteus vulgaris. It was found that although changes in mutation biases do not always result in switches in codon preferences, some switches have occurred in the direction of species-specific mutation biases. Fluctuating mutation biases may therefore be the main cause of differences between species in their codon preferences.

Amino Acids↗

Chromosomal location and evolutionary rate variation in enterobacterial genes.

The basal rate of DNA sequence evolution in enterobacteria, as seen in the extent of divergence between Escherichia coli and Salmonella typhimurium, varies greatly among genes, even when only "silent" sites are considered. The degree of divergence is clearly related to the level of gene expression, reflecting constraints on synonymous codon choice. However, where this constraint is weak, among genes not expressed at high levels, divergence is also related to the chromosomal location of the gene; it appears that genes furthest away from oriC, the origin of replication, have a mutation rate approximately two times that of genes near oriC.

Bias↗

Evidence that mutation patterns vary among Drosophila transposable elements.

In Drosophila melanogaster, codon usage in the open reading frames (ORFs) of transposable elements (TEs) differs greatly from that in other ORFs. In addition, while the ORFs from a single element are similar, there is considerable variation among elements. In the TE ORFs there are no indications of selection for the codons prevalent in the other D. melanogaster genes, but rather codon usage can be succinctly summarized in terms of the base composition at silent sites. We suggest that the particular silent site base composition of each TE is determined by an individual pattern of mutation. In many of the TEs there is an ORF encoding a protein with homology to reverse transcriptase; the amino acid sequences of these are quite divergent, and so it is possible that each of these incorporates certain mismatched bases at different frequencies during replication.

Animals↗

Codon usage patterns in Escherichia coli, Bacillus subtilis, Saccharomyces cerevisiae, Schizosaccharomyces pombe, Drosophila melanogaster and Homo sapiens; a review of the considerable within-species diversity.

The genetic code is degenerate, but alternative synonymous codons are generally not used with equal frequency. Since the pioneering work of Grantham's group it has been apparent that genes from one species often share similarities in codon frequency; under the "genome hypothesis" there is a species-specific pattern to codon usage. However, it has become clear that in most species there are also considerable differences among genes. Multivariate analyses have revealed that in each species so far examined there is a single major trend in codon usage among genes, usually from highly biased to more nearly even usage of synonymous codons. Thus, to represent the codon usage pattern of an organism it is not sufficient to sum over all genes as this conceals the underlying heterogeneity. Rather, it is necessary to describe the trend among genes seen in that species. We illustrate these trends for six species where codon usage has been examined in detail, by presenting the pooled codon usage for the 10% of genes at either end of the major trend. Closely-related organisms have similar patterns of codon usage, and so the six species in Table 1 are representative of wider groups. For example, with respect to codon usage, Salmonella typhimurium closely resembles E. coli, while all mammalian species so far examined (principally mouse, rat and cow) largely resemble humans.

Amino Acids↗