4.4 Article

TP53 gene polymorphism: Importance to cancer, ethnicity and birth weight in a Brazilian cohort

Journal

JOURNAL OF BIOSCIENCES
Volume 36, Issue 5, Pages 823-831

Publisher

INDIAN ACAD SCIENCES
DOI: 10.1007/s12038-011-9147-5

Keywords

Arg72Pro; birth cohort; molecular epidemiology; p53; SNP

Categories

Funding

  1. World Health Organization (Department of Child and Adolescent Health)
  2. Welcome Trusts
  3. International Development Research Center (Canada)
  4. Brazilian CNPq
  5. FAPERGS
  6. Overseas Development Administration (United Kingdom)
  7. United Nations Development Fund for Women
  8. National Program for Centers of Excellence (Brazil)
  9. National Research Council (Brazil)
  10. Ministry of Health (Brazil)
  11. CAPES

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Arg72Pro SNP of p53 has been associated with many types of cancer as well as with survival and longevity. We evaluated the Arg72Pro SNP frequencies of a Brazilian birth cohort and their association with current, demographic and birth epidemiological parameters available. In 1982, all hospital births of Pelotas, southern Brazil, were identified and studied prospectively. In 2004-5, blood samples were collected and DNA extracted. PCR-RFLP was used to genotype the Arg72Pro SNP in 3794 individual samples of the Brazil birth cohort and DNA sequencing was performed to confirm the genotypes. The genotype distribution, which was in Hardy-Weinberg equilibrium, showed a predominance of the arginine amino acid with a frequency of 46.9% Arg/Arg, 42.2% Arg/Pro and 10.9% Pro/Pro. The allele frequency was 0.68 of Arginine and 0.32 of Proline. The Arg72Pro SNP genotype and allelic frequency were related to skin colour where proline amino acid was observed more among black subjects, while arginine amino acid was observed more among white subjects. The individuals without family history of cancer and those with low birth weight were associated with arginine amino acid. The Arg72Pro SNP was strongly associated with important epidemiological variables confirming that genetic profiles on cohort studies can improve our understanding of the susceptibility of diseases and its risk factors.

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