Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Pivot Concepts:
Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Target Concepts:
Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Query: UMLS:C0011849 (
diabetes
)
277,896
document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)
During the past decade, the genetics of type 1 (insulin-dependent)
diabetes mellitus
(IDDM) has been studied extensively and the disorder has become a paradigm for genetically complex diseases. Previous genome screens and studies focused on candidate genes have provided evidence for genetic linkage between polymorphic DNA markers and 15 putative IDDM susceptibility loci, designated IDDM1-
IDDM15
. We have carried out a second-generation screen of the genome for linkage and analysed the data by multipoint linkage methods. An initial panel of 212 affected sibpairs (ASPs) was genotyped for 438 markers spanning all autosomes, and an additional 467 ASPs were used for follow-up genotyping. Other than the well-established linkage with the HLA region at chromosome 6p21.3, there was only one region, located on chromosome 1q and not previously reported, where the log likelihood ratio (lod) was greater than 3. Lods between 1.0 and 1.8 were found in six other regions, three of which have been reported in other studies. Another reported region, on chromosome 6q and loosely linked to HLA, also had an elevated lod. Little or no support was found for most reported IDDM loci (lods were less than 1), despite larger sample sizes in the present study.
...
PMID:A second-generation screen of the human genome for susceptibility to insulin-dependent diabetes mellitus. 966 86
Type 1
diabetes
(T1D) is a genetically complex disorder of glucose homeostasis that results from the autoimmune destruction of the insulin-secreting cells of the pancreas. Two previous whole-genome scans for linkage to T1D in 187 and 356 families containing affected sib pairs (ASPs) yielded apparently conflicting results, despite partial overlap in the families analyzed. However, each of these studies individually lacked power to detect loci with locus-specific disease prevalence/sib-risk ratios (lambda(s)) <1.4. In the present study, a third genome scan was performed using a new collection of 225 multiplex families with T1D, and the data from all three of these genome scans were merged and analyzed jointly. The combined sample of 831 ASPs, all with both parents genotyped, provided 90% power to detect linkage for loci with lambda(s) = 1.3 at P=7.4x10(-4). Three chromosome regions were identified that showed significant evidence of linkage (P<2.2x10(-5); LOD scores >4), 6p21 (IDDM1), 11p15 (IDDM2), 16q22-q24, and four more that showed suggestive evidence (P<7.4x10(-4), LOD scores > or =2.2), 10p11 (IDDM10), 2q31 (IDDM7, IDDM12, and IDDM13), 6q21 (
IDDM15
), and 1q42. Exploratory analyses, taking into account the presence of specific high-risk HLA genotypes or affected sibs' ages at disease onset, provided evidence of linkage at several additional sites, including the putative IDDM8 locus on chromosome 6q27. Our results indicate that much of the difficulty in mapping T1D susceptibility genes results from inadequate sample sizes, and the results point to the value of future international collaborations to assemble and analyze much larger data sets for linkage in complex diseases.
...
PMID:Seven regions of the genome show evidence of linkage to type 1 diabetes in a consensus analysis of 767 multiplex families. 1150 94
There is substantial interest in the identification of genes underlying susceptibility to complex human diseases because of the potential utility of such genes in disease prediction or therapy. Type 1
diabetes
is an example of one such disorder and is presumed to arise from the effect of multiple genes and environmental factors. One identified locus has a major effect on type 1 diabetes susceptibility (IDDM1), whereas other loci have significant, yet small, individual effects (IDDM2,
IDDM15
). It is unclear whether susceptibility for type 1 diabetes arises because of the effects of loci acting independently or whether there are important interactions between loci. Although genetic tools are continuing to be developed to enable examination of candidate regions, the means to identify and narrow "true" susceptibility regions continues to be limited by the lack of statistical power resulting from inadequately sized collections of families. This report provides an evaluation of the approaches for identification of regions harboring type 1 diabetes genes, methods to identify the gene regions that interact to define the risk for type 1 diabetes, and efforts to fine-map the variants responsible.
Diabetes
2002 Dec
PMID:Challenges and strategies for investigating the genetic complexity of common human diseases. 1247 65