The human leukocyte antigen (HLA) or tissue types are the products of a rapidly developing field of knowledge within the last 20 years. In the early stages of the research many investigators suspected the existence of a complex series of transplantation antigens, but it was widely believed that these antigens would not be well-defined even in this century. Yet in the last two decades as many as 124 different HLA antigens determined by at least 7 very closely linked genes located on the short arm of chromosome 6 have been identified and subsequently agreed upon by an international nomenclature committee. 1 Extensive international collaboration fueled by the potential clinical application of these antigens to clinical transplantation has advanced the field rapidly. There were nine inter national histocompatibility workshops held during this period. Although iden tification of HLA antigens was of primary clinical importance in transplantation 2 and of great basic interest in human genetics and anthropology, a rather un expected bonus has been the determination that HLA antigens are associated with disease susceptibility to a greater extent than any other known genetic marker in man. In the past, many genetic polymorphisms have been suspected to be associated with diseases. The most extensively studied markers are blood groups, enzymes, and serum proteins. A comprehensive account of published studies, totalling approximately 1,000, of these markers is available in a book by Mourant et al."

/pdf/hla-and-disease-associations-2avwi49ugx.pdf

HLA and disease associations

We studied the cumulative incidence, concordance rate and heritability for diabetes mellitus in a nationwide cohort of 13,888 Finnish twin pairs of the same sex. The twins were born before 1958 and both co-twins were alive in 1967. Data on diabetes were derived through computerized record linkage from death certificates, the National Hospital Discharge Register and the National Drug Register. Records were reviewed in order to assign a diagnostic category to the 738 diabetic patients identified. Of these patients 109 had Type 1 (insulin-dependent) diabetes, 505 Type 2 (non-insulin-dependent) diabetes, 46 gestational diabetes, 24 secondary diabetes, 38 impaired glucose tolerance and 16 remained unclassified. The cumulative incidence of diabetes was 1.4 % in men and 1.3 % in women aged 28–59 years and 9.3 % and 7.0 % in men and women aged 60 years and over, respectively. The cumulative incidence did not differ between monozygotic and dizygotic twins. The concordance rate for Type 1 diabetes was higher among monozygotic (23 % probandwise and 13 % pairwise) than dizygotic twins (5 % probandwise and 3 % pairwise). The probandwise and pairwise concordance rates for Type 2 diabetes were 34% and 20% among monozygotic tiwns and 16% and 9 % in dizygotic twins, respectively. Heritability for Type 1 diabetes was greater than that for Type 2 where both genetic and environmental effects seemed to play a significant role.

https://link.springer.com/content/pdf/10.1007/BF02221682.pdf

Concordance for Type 1 (insulin-dependent) and Type 2 (non-insulin-dependent) diabetes mellitus in a population-based cohort of twins in Finland

/pdf/the-lancet-commission-on-lessons-for-the-future-from-the-3b11rs1e.pdf

The Lancet Commission on lessons for the future from the COVID-19 pandemic

One hundred seventy-two members from 27 randomly selected multiple case Caucasian families of patients with insulin-dependent diabetes mellitus (IDDM) were studied at the DNA level to ascertain the reliability of codon 57 of the HLA-DQ beta-chain gene as a disease protection/susceptibility marker. The analysis was carried out by polymerase chain reaction amplification of DNA encoding the first domain of the DQ beta chain and by dot blot analysis of the amplified material with allele-specific oligonucleotide probes. One hundred twenty-three randomly selected healthy Caucasian donors were also tested. The results demonstrated that haplotypes carrying an aspartic acid in position 57 (Asp-57) of their DQ beta chain were significantly increased in frequency among nondiabetic haplotypes (23/38), while non-Asp-57 haplotypes were significantly increased in frequency among diabetic haplotypes (65/69). Ninety-six percent of the diabetic probands in our study were homozygous non-Asp/non-Asp as compared to 19.5% of healthy unrelated controls. This conferred a relative risk of 107 (chi 2 = 54.97; P = 0.00003) for non-Asp-57 homozygous individuals. Even though the inheritance and genetic features of IDDM are complex and are not necessarily fully explained by DQ beta chain polymorphism, this approach is much more sensitive than HLA serolog in assessing risk for IDDM.

Aspartic acid at position 57 of the HLA-DQ beta chain protects against type I diabetes: a family study.

Nearly 70 registries from more than 40 countries have collected and published incidence data of childhood Type 1 (insulin-dependent) diabetes mellitus up to the end of the 1980s. The majority of incidence data comes from regions of high incidence i. e. from Europe and North American. All these published data facilitate the descriptive comparison of incidence and variation of the occurrence of Type 1 diabetes roughly throughout the northern hemisphere. The aim of this paper is to review and compare the most recent epidemiology data on the incidence of Type 1 diabetes among children under the age of 15 years. A clear difference in incidence appeared between northern and southern hemisphere with no countries below the equator having an incidence greater than 15.0 per 100,000. In contrast above the equator the disease is common. Between continents the variation in incidence showed that the lowest incidences were found in Asia, followed by Oceania (Australia and New Zealand), South and North America, and the highest rates were in Europe. The incidence varied from 0.6 per 100,000 in Korea and Mexico to 35.3 per 100,000 in Finland showing prominent worldwide variation in incidence of Type 1 diabetes. The largest intracontinental variation in incidence appeared in Europe, varying from the highest in Finland to the lowest (4.6 per 100,000)_in northern Greece. The highest incidence in the world was in northern Europe, but within the continent scale there were some striking exceptions from the overall level of incidence. In Iceland, the northern-most island nation in Europe, the incidence is only one-half of that in Norway and Sweden and one-third of that in Finland. In contrast, in Sardinia in southern Europe the Type 1 diabetes incidence is virtually the same as in Finland, three times higher than overall incidence in Europe. Large variation was also seen in small “pockets” of countries, particularly in the Baltic sea region. The worldwide variation in incidence reflects the distribution of ethnic populations and demonstrates the importance of the differential genetic susceptibility between populations.

A review of the recent epidemiological data on the worldwide incidence of type 1 (insulin dependent) diabetes mellitus

HLA-DR and MT1, MT2, MT3 genotypes have been investigated in 123 Type 1 (insulin-dependent) diabetic subjects and their families. Ninety-eight percent of probands possessed either DR3 (relative risk = 5.0), or DR4 (relative risk = 6.8) or both antigens (relative risk = 14.3), emphasizing the strong association of the disease with these two antigens. Almost 51% of the probands were DR3, DR4 heterozygotes. The DR antigen combinations of the parents leading to DR3, DR4 heterozygous and to DR3 and DR4 homozygous offspring were analysed. There was a marked increase in DR3, DR4 heterozygosity, but no increase in homozygosity for these antigens compared with the expected frequencies. These results are compatible with the existence of two susceptibility genes operating at a locus or at loci closely linked to that of HLA-DR. There was a striking reduction of DR7 (relative risk = 0.1) and only five probands possessed DR2 (relative risk = 0.1). In each case, the other inherited allele was DR3 or DR4. Linkage disequilibrium between B7 and DR2 was much lower in the haplotypes of the probands than in the 'non-diabetic' parental haplotype. In contrast, the association of BW62 with DR4 was more pronounced in the haplotypes of the probands. There was no increase in recombination frequency in these families and no strong effect of HLA-DR on age of onset could be demonstrated. There was a significant shift towards DR identity compared with identity for the whole HLA haplotype (A, B, C and DR) in both healthy and diabetic siblings (p less than 0.025).

/pdf/the-genetic-susceptibility-to-type-1-insulin-dependent-351ca6dbvs.pdf

The genetic susceptibility to type 1 (insulin-dependent) diabetes: analysis of the HLA-DR association.

This article examines the risk of type I (insulin-dependent) diabetes in siblings of affected children, in relation to HLA genotypes. The 288 available siblings of 160 diabetic probands were grouped according to the number of HLA haplotypes in common with their probands. HLA-identical siblings (both haplotypes in common) have an approximately 100 times greater risk of developing the disease than that in the general population, and this risk is significantly higher than that in haplo-identical siblings (one haplotype in common) P = 0.008). Thus, in Northern European populations, some 30% of HLA-identical siblings are expected to be diabetic by the age of 30 yr. The risk in nonidentical siblings (neither haplotype in common) is not significantly increased. These findings carry implications for genetic counseling and research.

Can Future Type I Diabetes Be Predicted? A Study in Families of Affected Children

Summary Hodgkin’s disease (HD) is the most common non-acquired immunodeficiency syndrome (AIDS)-defining malignancy in human immunodeficiency virus (HIV)-infected patients. We analysed the outcome of patients with HIVassociated HD (HIV-HD) with respect to the use and efficacy of highly active antiretroviral therapy (HAART) and other prognostic factors. To evaluate the effects of several variables on overall survival (OS), Kaplan–Meier statistics and extended Cox regression analysis were performed. Response to HAART was used as a time-dependent variable and was defined as an increase of >0AE1 · 10 9 CD4 cells/l and/or at least one viral load <500 copies/ml during the first 2 years following diagnosis of HIV-HD. Fifty-seven patients with HIV-HD diagnosed between 1990 and 2002 were included in the study. In the Cox model, the only factors independently associated with OS were HAART response [relative hazard (RH) 0AE19; 95% confidence interval (CI) 0AE06–0AE60], complete remission (RH 0AE30, 95% CI 0AE13–0AE72), and age 645 years (RH 0AE23; 95% CI 0AE09–0AE60). Median survival time in patients without HAART response was 18AE6 months, whereas the median survival time in patients with HAART response was not reached (89% OS at 24 months). In this cohort, a significant improvement in survival was found in patients with HIV-HD who responded to HAART.

Strong impact of highly active antiretroviral therapy on survival in patients with human immunodeficiency virus-associated

A new look at hla genetics with particular reference to type-1 diabetes

5 The genetic susceptibility to type I (insulin-dependent) diabetes mellitus

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Eva Wolf

Author Tools

Chat about Author