U.S. flag An official website of the United States government.
Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

i

Genetic epidemiology of infectious diseases in humans: design of population-based studies.

Supporting Files Public Domain
File Language:
English


Details

  • Alternative Title:
    Emerg Infect Dis
  • Personal Author:
  • Description:
    The spread and clinical manifestations of an infection in human populations depend on a variety of factors, among them host genetics. Familial linkage studies used in genetic epidemiology to identify host genes test for nonrandom segregation of a trait with a few candidate chromosomal regions or any regions in the genome (genomewide search). When a clear major gene model can be inferred and reliable epidemiologic information is collected (e.g., in schistosomiasis), parametric linkage studies are used. When the genetic model cannot be defined (e.g., in leprosy and malaria), nonparametric linkage studies (e.g., sibling-pair studies) are recommended. Once evidence of linkage is obtained, the gene can be identified by polymorphisms strongly associated with the trait. When the tested polymorphism is in strong linkage disequilibrium with the disease allele or is the disease allele itself (e.g., in HIV infection and malaria), association studies can directly identify the disease gene. Finally, the role of the detected polymorphism in causing the trait is validated by functional studies.
  • Subjects:
  • Source:
    Emerg Infect Dis. 4(4):593-603.
  • Document Type:
  • Volume:
    4
  • Issue:
    4
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:694730e56c8765543f8c391b4608a5f3c0aa0b852d5233dde79574cca4a8ed41
  • Download URL:
  • File Type:
    Filetype[PDF - 105.85 KB ]
File Language:
English
ON THIS PAGE

CDC STACKS serves as an archival repository of CDC-published products including scientific findings, journal articles, guidelines, recommendations, or other public health information authored or co-authored by CDC or funded partners.

As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.