Skip to main content
Journal of Epidemiology logoLink to Journal of Epidemiology
. 2011 Sep 5;21(5):399. doi: 10.2188/jea.JE20110072

Profile of Participants and Genotype Distributions of 108 Polymorphisms in a Cross-Sectional Study of Associations of Genotypes With Lifestyle and Clinical Factors: A Project in the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study

Kenji Wakai
PMCID: PMC3899441

In this article, we found errors in the genotype data for 5 single nucleotide polymorphisms (SNPs). We therefore corrected Tables 4 and 5 (only the revised data are presented). In addition, the main text from the last sentence of the third paragraph through the end of the fourth paragraph of the Results section should be amended as follows: “For the remaining 104 polymorphisms, the MAF varied from 0.016 (PTGS2(COX2) C-163G) to 0.479 (CETP Val405Ile (G/A)), and most of the variations were common (MAF ≥0.05 for 96 polymorphisms).

Table 4. Genotype distributions and allele frequencies of 108 selected genetic polymorphisms (corrected part only).

Gene Polymorphism rs number Genotypea na Frequency (proportion) P for
HWE
MAF

Observed Expectedb




AA Aa aa AA Aa aa XX AA Aa aa AA Aa aa
ADH1C Arg272Gln (C/T) rs1693482 CC CT TT 4027 474 15 3 0.892 0.105 0.003 0.892 0.105 0.003 0.78 0.056
ADIPOQ G276T rs1501299 GG GT TT 2353 1791 374 1 0.521 0.396 0.083 0.517 0.404 0.079 0.21 0.281
CETP Val405Ile (G/A) rs5882 GG GA AA 1254 2198 1066 1 0.278 0.486 0.236 0.271 0.499 0.230 0.089 0.479
CETP G/T rs3764261 GG GT TT 2877 1430 210 2 0.637 0.317 0.046 0.632 0.326 0.042 0.061 0.205
GCK G-30A rs1799884 GG GA AA 3056 1317 145 1 0.676 0.292 0.032 0.676 0.292 0.032 0.84 0.178

Abbreviations: HWE, Hardy-Weinberg equilibrium; MAF, minor allele frequency; SNP, single nucleotide polymorphism.

aAA, Aa, aa and XX indicate homozygotes of major alleles, heterozygotes, homozygotes of minor alleles, and samples of which genotype could not be determined, respectively.

bBased on the Hardy-Weinberg equilibrium.

Table 5. Minor allele frequencies of selected genetic polymorphisms by study area (corrected part only).

Gene Polymorphism rs number Minor allele frequency by study area Pa

Total Chiba Shizu-
oka
Okazaki ACC Taka-
shima
Kyoto Toku-
shima
Fukuoka Saga Amami
ADH1C Arg272Gln (C/T) rs1693482 0.056 0.053 0.068 0.035 0.046 0.056 0.053 0.058 0.065 0.053 0.072 0.013
ADIPOQ G276T rs1501299 0.281 0.290 0.284 0.301 0.279 0.266 0.263 0.289 0.286 0.308 0.236 0.024
CETP Val405Ile (G/A) rs5882 0.479 0.463 0.478 0.462 0.477 0.502 0.491 0.542 0.505 0.444 0.494 0.058
CETP G/T rs3764261 0.205 0.183 0.194 0.209 0.203 0.188 0.209 0.158 0.204 0.223 0.240 0.028
GCK G-30A rs1799884 0.178 0.193 0.179 0.183 0.186 0.179 0.138 0.147 0.191 0.173 0.159 0.29

Abbreviations: ACC, Aichi Cancer Center; SNP, single nucleotide polymorphism.

aP for difference among study areas.

The P value for departures from the Hardy-Weinberg equilibrium was less than 0.05 for 15 polymorphisms. However, the only genotype for which the difference between the observed and expected frequencies exceeded 3% was the SLC30A8 Arg325Trp (C/T) heterozygote. As shown in Table 5, some polymorphisms demonstrated a considerable difference in MAF among the participating cohorts; for 27 of the 108 polymorphisms, including ABCC11 Arg180Gly (T/C), there was a highly significant difference in MAF among study areas (P < 0.001).”

Furthermore, the first sentence of the third paragraph of the Discussion should read: “Of the remaining 104 polymorphisms, 15 showed departures from the Hardy-Weinberg equilibrium, with P values less than 0.05.”

The authors regret these errors.


Articles from Journal of Epidemiology are provided here courtesy of Japan Epidemiological Association

RESOURCES