Literature DB >> 22379350

Presence of evolutionary pressures or genotyping error.

Mostafa Saadat.   

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Year:  2012        PMID: 22379350      PMCID: PMC3286786          DOI: 10.3346/jkms.2012.27.3.335

Source DB:  PubMed          Journal:  J Korean Med Sci        ISSN: 1011-8934            Impact factor:   2.153


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I have read with great interest the recent study by Ryu et al., which is published in the Journal of Korean Medical Science (1). The authors investigated the possible association between genetic polymorphisms in XRCC1 at codons 194 (rs. 1799782) and 399 (rs. 25487) and the risk of papillary thyroid carcinoma in a Korean sample. They found that there was no significant association between these polymorphisms and the susceptibility to papillary thyroid carcinoma. I would like to make a few comments about the study. The authors mentioned the prevalence of genotypes among controls did not deviate from Hardy-Weinberg equilibrium (HWE) (1). However, based on data presented in Table 2 of the study of Ryu et al., I found that for the Arg399Gln polymorphism of XRCC1, there was a large difference between expected and observed frequencies for the genotypes (χ2 = 13.684, df = 1, P = 0.0002). In the presence of evolutionary pressure, or nonrandom mating, statistically significant deviation from the HWE might be observed. It should be noted that the deviation from HWE may be a sign of genotyping error (2). Although I am not familiar with population genetics of Korean populations, according to previous reports I understand that among Asian populations (including Korean population), the prevalence of the Gln399 allele is about 0.30 (3-5). But the frequency of Gln399 allele was reported 0.185 by Ryu and his coworkers (1). Based on my search, there is no study describing the association between the Arg399Gln polymorphism and evolutionary pressures among general population. Taken together, I think that the above mentioned deviation from HWE was observed because of some kind of genotyping error(s). Therefore the results of Ryu et al. (1) should be interpreted with caution. Finally, considering that these two SNPs are closely linked loci, the authors should have used one of the available software's for haplotype analysis.
  5 in total

1.  Polymorphisms of the DNA repair gene XRCC1 and lung cancer risk.

Authors:  D Ratnasinghe; S X Yao; J A Tangrea; Y L Qiao; M R Andersen; M J Barrett; C A Giffen; Y Erozan; M S Tockman; P R Taylor
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2001-02       Impact factor: 4.254

2.  XRCC1 genetic polymorphism and breast cancer risk.

Authors:  Sook-Un Kim; Sue Kyung Park; Keun-Young Yoo; Kyung-Sik Yoon; Ji Yeob Choi; Jeong-Sun Seo; Woong-Yong Park; Ju-Han Kim; Dong-Young Noh; Se-Hyun Ahn; Kuk-Jin Choe; Paul T Strickland; Ari Hirvonen; Daehee Kang
Journal:  Pharmacogenetics       Date:  2002-06

3.  A population-based case-control study of the Arg399Gln polymorphism in DNA repair gene XRCC1 and risk of breast cancer.

Authors:  Xiao-Ou Shu; Qiuyin Cai; Yu-Tang Gao; Wanqing Wen; Fan Jin; Wei Zheng
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2003-12       Impact factor: 4.254

4.  XRCC1 polymorphisms and risk of papillary thyroid carcinoma in a Korean sample.

Authors:  Ri A Ryu; Kyung Tae; Hyun Jung Min; Jin Hyeok Jeong; Seok Hyun Cho; Seung Hwan Lee; You Hern Ahn
Journal:  J Korean Med Sci       Date:  2011-07-27       Impact factor: 2.153

5.  STrengthening the REporting of Genetic Association studies (STREGA)--an extension of the STROBE statement.

Authors:  Julian Little; Julian P T Higgins; John P A Ioannidis; David Moher; France Gagnon; Erik von Elm; Muin J Khoury; Barbara Cohen; George Davey-Smith; Jeremy Grimshaw; Paul Scheet; Marta Gwinn; Robin E Williamson; Guang Yong Zou; Kim Hutchings; Candice Y Johnson; Valerie Tait; Miriam Wiens; Jean Golding; Cornelia van Duijn; John McLaughlin; Andrew Paterson; George Wells; Isabel Fortier; Matthew Freedman; Maja Zecevic; Richard King; Claire Infante-Rivard; Alex Stewart; Nick Birkett
Journal:  Eur J Clin Invest       Date:  2009-04       Impact factor: 4.686

  5 in total
  1 in total

1.  Letter to the Editor: Genetic Contributions to Childhood Obesity: Association of Candidate Gene Polymorphisms and Overweight/Obesity in Korean Preschool Children.

Authors:  Mostafa Saadat
Journal:  J Korean Med Sci       Date:  2018-02-12       Impact factor: 2.153

  1 in total

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