Biomedical subjects

Justin P Rubio

Publications and source records attributed to Justin P Rubio.

6 recordsLinked to original sources

PubMed2006

On the utility of data from the International HapMap Project for Australian association studies.

We compare patterns of linkage disequilibrium (LD) for 633 SNPs in two regions between samples collected in two Australian states and HapMap samples collected from Utah residents of Northern and Western (NW) European ancestry (CEU). Patterns of LD in the Australian and HapMap samples are similar, and tag SNPs chosen using HapMap genotypes perform almost as well on Australian samples as tags chosen using Australian genotypes.

Europe↗

PubMed2005

Detecting genome wide haplotype sharing using SNP or microsatellite haplotype data.

Genome wide association studies using high throughput technology are already being conducted despite the significant hurdles that need to be overcome (Nat Rev Genet 6:95-108, 2005; Nat Rev Genet 6:109-118, 2005). Methods for detecting haplotype association signals in genome wide haplotype datasets are as yet very limited. Much methodological research has already been devoted to linkage disequilibrium (LD) fine mapping where the focus is the identification of the disease locus rather than the detection of a disease signal. Applications of these approaches to genome wide scanning are limited by the strong model assumptions of the sharing process, which lead to computational complexity. We describe a new algorithm for the initial identification of disease susceptibility loci in genome wide haplotype association studies. Excess sharing of ancestral haplotypes, which indicates the presence of a disease locus, is detected with a simple, easy to interpret, chi2 based statistic. The method allows genome wide scanning for qualitative traits within reasonable computational timeframes and can serve as a first pass analysis prior to the usage of likelihood based methods, providing candidate regions and inferred susceptibility haplotypes. Our method makes no assumptions regarding the population history or the pattern of background LD. Statistical significance is evaluated with permutation tests. The method is illustrated on simulated and real data where it is applied to simple (cystic fibrosis) and complex disease (multiple sclerosis) examples. The statistic has low type I error and greater power to map disease loci over conventional single marker tests for low to moderate levels of LD.

Algorithms↗

PubMed2005

Identifying nineteenth century genealogical links from genotypes.

We have developed a likelihood method to identify moderately distant genealogical relationships from genomewide scan data. The aim is to compare the genotypes of many pairs of people and identify those pairs most likely to be related to one another. We have tested the algorithm using the genotypes of 170 Tasmanians with multiple sclerosis recruited into a haplotype association study. It is estimated from genealogical records that approximately 65% of Tasmania's current population of 470,000 are direct descendants of the 13,000 female founders living in this island state of Australia in the mid-nineteenth century. All cases and four to five relatives of each case have been genotyped with microsatellite markers at a genomewide average density of 4 cM. Previous genealogical research has identified 51 pairwise relationships linking 56 of the 170 cases. Testing the likelihood calculation on these known relative pairs, we have good power to identify relationships up to degree eight (e.g. third cousins once removed). Applying the algorithm to all other pairs of cases, we have identified a further 61 putative relative pairs, with an estimated false discovery rate of 10%. The power to identify genealogical links should increase when the new, denser sets of SNP markers are used. Except in populations where there is a searchable electronic database containing virtually all genealogical links in the past six generations, the algorithm should be a useful aid for genealogists working on gene-mapping projects, both linkage studies and association studies.

Algorithms↗

PubMed2005

Multiple sclerosis: a haplotype association study.

Results are presented from a genomewide haplotype association study on multiple sclerosis (MS) cases from Tasmania, an island state of Australia. Cases were ascertained on strict clinical and radiological grounds and on the fact that they had at least one grandparent born in the state. This enriched for early settler chromosomes among present day Tasmanians with MS and increased the chances of finding common haplotype sharing at disease predisposition loci in distant relatives sharing common ancestral haplotypes. Four-to-five close relatives were also collected for each of 170 cases and 105 population-based controls. All were genotyped at a 5cM resolution, haplotypes reconstructed and sharing estimated using an empirical approach based on sorting haplotypes to find the most common at each locus and then generating a test statistic for excess sharing in the cases based on permutation testing. Five initial loci were found where there was an excess sharing in the cases. These were fine-mapped with 10-12 additional markers. Only loci on chromosomes 6 and 10 remained after fine mapping. These loci demonstrate an increase in sharing of multi-marker haplotypes in MS cases compared to both population control transmitted haplotypes and case non-transmitted haplotypes.

Haplotypes↗

PubMed2004

Extended haplotype analysis in the HLA complex reveals an increased frequency of the HFE-C282Y mutation in individuals with multiple sclerosis.

In order to resolve a multiple sclerosis (MS) susceptibility locus that we had identified in earlier work at the telomeric end of the HLA complex, we genotyped another 34 microsatellite markers (47 in total) across the class I/extended class I region in 166 Tasmanian MS case and 104 control families (D6S299-D6S265). Extended MS susceptibility haplotypes, up to 9 Mb in length, were observed in 11% of MS cases and 4% of controls. Direct comparison of the telomerically extended portion of the MS susceptibility haplotype in HFE-Cys282Tyr (C282Y)-homozygous haemochromatosis patients identified a common ancestry for this genomic segment, which translated into an increased frequency of the C282Y allele in 489 MS cases from Tasmania and Victoria (10.2%) compared with controls (6.7%). Six C282Y homozygotes (1.2%), a three-fold increased rate over the general population, and 88 heterozygotes (18%) were identified. One C282Y-homozygous female was identified who had MS and was being treated for symptoms of iron overload. Interestingly, for 71 Victorian MS cases not of north western European (NWE) ancestry, a DR15-independent reduction in the frequency of the C282Y allele was observed, supporting the theory of a NWE origin for the C282Y-variant of the DR15 ancestral haplotype (C282Y-HLA-A*0301-B*0702-DRB1*1501-DQB1*0602). The results of linkage disequilibrium (LD) and log linear modelling analyses suggest that C282Y is increased in MS cases of NWE ancestry because it is in LD with the ancestral DR15 susceptibility haplotype (7.1) and that it does not play an independent role in predisposition to MS. However, our findings provide the impetus for further investigations into the role of iron metabolism in the severity of MS.

DNA Primers↗

PubMed2002

Genetic dissection of the human leukocyte antigen region by use of haplotypes of Tasmanians with multiple sclerosis.

Association of multiple sclerosis (MS) with the human leukocyte antigen (HLA) class II haplotype DRB1*1501-DQB1*0602 is the most consistently replicated finding of genetic studies of the disease. However, the high level of linkage disequilibrium (LD) in the HLA region has hindered the identification of other loci that single-marker tests for association are unlikely to resolve. In order to address this issue, we generated haplotypes spanning 14.754 Mb (5 cM) across the entire HLA region. The haplotypes, which were inferred by genotyping relatives of 152 patients with MS and 105 unaffected control subjects of Tasmanian ancestry, define a genomic segment from D6S276 to D6S291, including 13 microsatellite markers integrated with allele-typing data for DRB1 and DQB1. Association to the DRB1*1501-DQB1*0602 haplotype was replicated. In addition, we found that the class I/extended class I region, defined by a genomic segment of approximately 400 kb between MOGCA and D6S265, harbors genes that independently increase risk of, or provide protection from, MS. Log-linear modeling analysis of constituent haplotypes that represent genomic regions containing class I (MOGCA-D6S265), class III (TNFa-TNFd-D6S273), and class II (DRB1-DQB1) genes indicated that having class I and class II susceptibility variants on the same haplotype provides an additive effect on risk. Moreover, we found no evidence for a disease locus in the class III region defined by a 150-kb genomic segment containing the TNF locus and 14 other genes. A global overview of LD performed using GOLD identified two discrete blocks of LD in the HLA region that correspond well with previous findings. We propose that the analysis of haplotypes, by use of the types of approaches outlined in the present article, should make it possible to more accurately define the contribution of the HLA to MS.

Alleles↗