Genetic risk analysis for an individual according to the theory of programmed onset, illustrated by lung and liver cancers.

OBJECTIVE: To investigate cancer association in the genome and the genetic risk of death from major cancers according to the theory of programmed onset for an individual. METHODS: Alleles of 15 randomly selected short tandem repeat (STR) loci, including D6S1043, D12S391, CSF1PO, D7S820, D2S1338, D3S1358, vWA, FGA, D8S1179, D21S11, D18S51, D5S818, D13S317, D16S539 and D19S433, were determined in 50 patients with lung cancer and 50 patients with liver cancer. The onset age of patients with and without the alleles was compared with Cox regression. Frequencies of significant alleles from Cox regression between the cancer group and control population were analysed through logistic regression for cross-validation. The death probability in an individual carrying two or one of two cancer-related alleles or not carrying two cancer-related alleles was calculated with outcomes of case-control studies translated into the results of the cohort studies. RESULTS: It was confirmed that D18S51-20 was a lung cancer-related allele and that D21S11-30.2 and D6S1043-18 were liver cancer-related alleles. Probabilities of death from lung or liver cancers ranged from 0.115 to 0.395, respectively, for those who carry and/or do not carry D18S51-20, D21S11-30.2, D6S1043-18. CONCLUSIONS: A more efficient method could be devised for genetic risk analysis according to the theory of programmed onset. The analysis of the CODIS-STR loci (STR loci listed in the US combined DNA indexing system) as genetic markers may provide an efficient and reliable approach to estimate an individual's genetic predisposition.

Screening of longevity-associated genes based on a comparison between dead and surviving populations.

AIM: To investigate longevity-associated genes based on a comparison between dead and surviving populations. METHODS: A total of 71 cases of dead individuals were treated as the death group, and healthy volunteers who were matched with the dead individuals based on sex and age were recruited as the survival group. Alleles of 13 CODIS STR loci were determined using the AmpFLSTR Profiler Plus PCR Amplification Kit. The cross-validation was performed based on differences between the two groups in both frequency values and ages. RESULTS: The frequency value of the D18S51-17 alleles was significantly higher in the dead group than in the survival group (p<0.05), and the frequency value of the D2S1338-18 allele was statistically lower in the dead group than in the survival group (p<0.05). The mean age of the subjects with the D2S1338-18 allele was also significantly higher than that of the subjects without D2S1338-18, and no significant difference was observed with respect to the other three alleles. CONCLUSIONS: The results suggest that D2S1338-18 is associated with longevity.