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Antigens Involved in Adaptive Immunity01:26

Antigens Involved in Adaptive Immunity

An antigen is any substance the immune system identifies as foreign and potentially harmful to the body, prompting an immune response. Antigens have two functional properties: immunogenicity and reactivity. Immunogenicity is the ability of an antigen to stimulate a specific immune response. At the same time, reactivity describes the antigen's ability to react with the cells and antibodies produced in response to it.
Complete Antigens
Complete antigens possess both immunogenicity and reactivity.

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Updated: Jun 26, 2026

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis
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Overview of the MHC fine mapping data.

W M Brown1, J Pierce, J E Hilner

  • 1Division of Public Health Sciences, Wake Forest University Health Sciences, Winston-Salem, NC, USA. wmbrown@wfubmc.edu

Diabetes, Obesity & Metabolism
|January 16, 2009
PubMed
Summary

The Type 1 Diabetes Genetics Consortium generated a database of 2300 families, including 9992 individuals, with high-quality major histocompatibility complex (MHC) single nucleotide polymorphism (SNP) and microsatellite data for genetic association studies.

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Area of Science:

  • Genetics
  • Human Genetics
  • Population Genetics

Background:

  • The Type 1 Diabetes Genetics Consortium (T1DGC) is a collaborative effort to identify genetic factors contributing to type 1 diabetes.
  • The major histocompatibility complex (MHC) region is a critical area for immune system regulation and is strongly associated with type 1 diabetes susceptibility.

Purpose of the Study:

  • To perform quality control (QC) and initial family-based association analyses on single nucleotide polymorphism (SNP) and microsatellite marker data within the MHC region.
  • To establish a high-density genotype dataset for the MHC region for future statistical genetic analyses in type 1 diabetes research.

Main Methods:

  • Utilized a random sample of blind duplicates for quality control (QC) analysis.
  • Performed comprehensive QC checks including marker yield, Hardy-Weinberg equilibrium, error rates, and allele distributions.
  • Genotyped 2325 families across nine cohorts using two 1536 SNP panels and one 66 microsatellite marker panel.

Main Results:

  • Obtained genotypes for 2325 families, comprising 9992 individuals.
  • Achieved an overall concordance rate of 99.1% (+/-0.02) in the raw SNP data.
  • Generated a dense marker dataset covering the 4 Mb MHC core region.

Conclusions:

  • The T1DGC MHC Fine Mapping project successfully created a valuable database for genetic research.
  • The resulting dataset, comprising 2300 families and dense genotyping data, is ready for statistical genetic analyses.
  • This resource will aid in fine-mapping genetic associations within the MHC region for type 1 diabetes.