Literature DB >> 29521323

Author`s Reply.

Ferit Onur Mutluer, Dilek Ural, Barış Güngör, Osman Bolca, Tolga Aksu1.   

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Year:  2018        PMID: 29521323      PMCID: PMC5864779     

Source DB:  PubMed          Journal:  Anatol J Cardiol        ISSN: 2149-2263            Impact factor:   1.596


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To the Editor, We would like to thank authors for their valuable comments on our recently published study titled “Association of Interleukin-1 Gene cluster polymorphisms with coronary slow flow phenomenon (CSFP)” (1). We cannot disagree on their comment on the association between inflammation tendency and IL-1 gene polymorphisms. We would like to clarify that there is a thin line between drawing conclusions and suggesting hypotheses, and we stay on the side of just suggesting hypotheses. The main weakness of small-sized genetic case-control studies is their lack of power to draw conclusions from the results. This is the reason why the methodology of genetic studies is moving toward genome-wide association studies (2). It would have been better if serum interleukin-1ß and interleukin-1RA levels were evaluated in our study. This is among the limitations of our study. However, it should be noted that the effects of mutations on inflammatory mechanisms might as well be simply beyond increasing and decreasing the synthesis of the gene product. Conflicting results testing the same hypothesis that these mutations have effects on the course of diseases associated with inflammation also underline this complexity. Additionally, we should emphasize that the co-occurrence of single nucleotide polymorphisms is not a rule. Associations might vary between different polymorphisms in the same gene as a result (3). Finally, screening for all defined mutations and even describing new mutations is possible with next-generation sequencing. However, with conventional methodologies, how many different mutations can be studied is a matter of time and resources (4).
  4 in total

1.  Associations between interleukin-1 and IL-1 receptor antagonist polymorphisms and susceptibility to rheumatoid arthritis: A meta-analysis.

Authors:  Y H Lee; S-C Bae
Journal:  Cell Mol Biol (Noisy-le-grand)       Date:  2015-12-26       Impact factor: 1.770

2.  Fifteen new risk loci for coronary artery disease highlight arterial-wall-specific mechanisms.

Authors:  Joanna M M Howson; Wei Zhao; Daniel R Barnes; Weang-Kee Ho; Robin Young; Dirk S Paul; Lindsay L Waite; Daniel F Freitag; Eric B Fauman; Elias L Salfati; Benjamin B Sun; John D Eicher; Andrew D Johnson; Wayne H H Sheu; Sune F Nielsen; Wei-Yu Lin; Praveen Surendran; Anders Malarstig; Jemma B Wilk; Anne Tybjærg-Hansen; Katrine L Rasmussen; Pia R Kamstrup; Panos Deloukas; Jeanette Erdmann; Sekar Kathiresan; Nilesh J Samani; Heribert Schunkert; Hugh Watkins; Ron Do; Daniel J Rader; Julie A Johnson; Stanley L Hazen; Arshed A Quyyumi; John A Spertus; Carl J Pepine; Nora Franceschini; Anne Justice; Alex P Reiner; Steven Buyske; Lucia A Hindorff; Cara L Carty; Kari E North; Charles Kooperberg; Eric Boerwinkle; Kristin Young; Mariaelisa Graff; Ulrike Peters; Devin Absher; Chao A Hsiung; Wen-Jane Lee; Kent D Taylor; Ying-Hsiang Chen; I-Te Lee; Xiuqing Guo; Ren-Hua Chung; Yi-Jen Hung; Jerome I Rotter; Jyh-Ming J Juang; Thomas Quertermous; Tzung-Dau Wang; Asif Rasheed; Philippe Frossard; Dewan S Alam; Abdulla Al Shafi Majumder; Emanuele Di Angelantonio; Rajiv Chowdhury; Yii-Der Ida Chen; Børge G Nordestgaard; Themistocles L Assimes; John Danesh; Adam S Butterworth; Danish Saleheen
Journal:  Nat Genet       Date:  2017-05-22       Impact factor: 41.307

Review 3.  What is next generation sequencing?

Authors:  Sam Behjati; Patrick S Tarpey
Journal:  Arch Dis Child Educ Pract Ed       Date:  2013-08-28       Impact factor: 1.309

4.  Association of Interleukin-1 Gene cluster polymorphisms with coronary slow flow phenomenon.

Authors:  Ferit Onur Mutluer; Dilek Ural; Barış Güngör; Osman Bolca; Tolga Aksu
Journal:  Anatol J Cardiol       Date:  2018-01       Impact factor: 1.596

  4 in total

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