Literature DB >> 22923658

Response to comment on: Marquez et al. Low-frequency variants in HMGA1 are not associated with type 2 diabetes risk. Diabetes 2012;61:524-530.

Philippe Froguel, Marcel Marquez, Stéphane Cauchi.   

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Year:  2012        PMID: 22923658      PMCID: PMC3425425          DOI: 10.2337/db12-0800

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


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We read with surprise and disappointment the comment in Diabetes by Brunetti et al. (1) who made unfair comments about our negative study published in the same journal (2). Therefore, we felt the necessity to provide a point-by-point response to all raised issues. In contrast to the claims by Brunetti et al. (1), we have never reported in meeting abstracts any consistent associations between HMGA1 variants and type 2 diabetes (T2D) risk when all French samples were analyzed together. Trends observed in obese subjects were not confirmed in a larger number of individuals and BMI was finally found not to influence association with T2D susceptibility (2). Therefore, the so-called “inconsistencies” between our previous abstracts and our published study are not justified and do not question our recent findings. Discrepancies in allele frequencies between our study (2) and that of Chiefari et al. (3) are unlikely to be due to different selections of control samples. In both studies, two groups of normoglycemic controls were selected, or not, based on their family history of T2D. Contrary to what was reported in Italians (3), no difference was observed between the French control group of subjects without family history of T2D and the French control group composed of individuals without specific selection criteria (c.136–14_136–13insC allele frequency: 2.82% and 2.59%, respectively) (2). In our study (2), genomic DNA was directly sequenced or genotyped for the c.136–14_136–13insC variant using the high-resolution melting (HRM) method, with an estimated concordance rate of 99%. HRM was preferred for genotyping since the genotype calling of this variant using a custom Taqman assay was not satisfying. Therefore, our results were based on accurate genotypes. Our expression study was not performed in T2D patients, contrary to what was reported by Chiefari et al. (3), given that glucose-lowering medications could bias the results. Instead, we analyzed the adipose tissue of Swedish individuals (c.136–14_136–13insC allele frequency: 3.30%) who share similar T2D genetic loci with other Europeans, including French subjects, as confirmed in previous genome-wide studies (4–9). If true, the strong functional effects reported in Italians (3) should have been observed in other Europeans carrying the c.136–14_136–13insC variant. In our large meta-analysis comprising 16,605 T2D case subjects and 46,179 control subjects of European origin, the association of the c.136–14_136–13insC variant with T2D risk was not close to significance (odds ratio = 0.95 [0.83–1.08], P = 0.44) (2) in contrast to what was suggested by Brunetti et al. (1). Replication of research findings enhances the positive predictive value of research findings being true (10). In Europeans, there is no consistent evidence showing that the c.136–14_136–13insC variant is associated with T2D risk (2). Therefore, the comments made by Brunetti et al. (1) were inappropriate since they were based on unfounded assumptions.
  10 in total

1.  A genome-wide association study identifies novel risk loci for type 2 diabetes.

Authors:  Robert Sladek; Ghislain Rocheleau; Johan Rung; Christian Dina; Lishuang Shen; David Serre; Philippe Boutin; Daniel Vincent; Alexandre Belisle; Samy Hadjadj; Beverley Balkau; Barbara Heude; Guillaume Charpentier; Thomas J Hudson; Alexandre Montpetit; Alexey V Pshezhetsky; Marc Prentki; Barry I Posner; David J Balding; David Meyre; Constantin Polychronakos; Philippe Froguel
Journal:  Nature       Date:  2007-02-11       Impact factor: 49.962

2.  Functional variants of the HMGA1 gene and type 2 diabetes mellitus.

Authors:  Eusebio Chiefari; Sinan Tanyolaç; Francesco Paonessa; Clive R Pullinger; Carmelo Capula; Stefania Iiritano; Tommaso Mazza; Michele Forlin; Alfredo Fusco; Vincent Durlach; Anne Durlach; Mary J Malloy; John P Kane; Steven W Heiner; Mirella Filocamo; Daniela P Foti; Ira D Goldfine; Antonio Brunetti
Journal:  JAMA       Date:  2011-03-02       Impact factor: 56.272

3.  Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis.

Authors:  Benjamin F Voight; Laura J Scott; Valgerdur Steinthorsdottir; Andrew P Morris; Christian Dina; Ryan P Welch; Eleftheria Zeggini; Cornelia Huth; Yurii S Aulchenko; Gudmar Thorleifsson; Laura J McCulloch; Teresa Ferreira; Harald Grallert; Najaf Amin; Guanming Wu; Cristen J Willer; Soumya Raychaudhuri; Steve A McCarroll; Claudia Langenberg; Oliver M Hofmann; Josée Dupuis; Lu Qi; Ayellet V Segrè; Mandy van Hoek; Pau Navarro; Kristin Ardlie; Beverley Balkau; Rafn Benediktsson; Amanda J Bennett; Roza Blagieva; Eric Boerwinkle; Lori L Bonnycastle; Kristina Bengtsson Boström; Bert Bravenboer; Suzannah Bumpstead; Noisël P Burtt; Guillaume Charpentier; Peter S Chines; Marilyn Cornelis; David J Couper; Gabe Crawford; Alex S F Doney; Katherine S Elliott; Amanda L Elliott; Michael R Erdos; Caroline S Fox; Christopher S Franklin; Martha Ganser; Christian Gieger; Niels Grarup; Todd Green; Simon Griffin; Christopher J Groves; Candace Guiducci; Samy Hadjadj; Neelam Hassanali; Christian Herder; Bo Isomaa; Anne U Jackson; Paul R V Johnson; Torben Jørgensen; Wen H L Kao; Norman Klopp; Augustine Kong; Peter Kraft; Johanna Kuusisto; Torsten Lauritzen; Man Li; Aloysius Lieverse; Cecilia M Lindgren; Valeriya Lyssenko; Michel Marre; Thomas Meitinger; Kristian Midthjell; Mario A Morken; Narisu Narisu; Peter Nilsson; Katharine R Owen; Felicity Payne; John R B Perry; Ann-Kristin Petersen; Carl Platou; Christine Proença; Inga Prokopenko; Wolfgang Rathmann; N William Rayner; Neil R Robertson; Ghislain Rocheleau; Michael Roden; Michael J Sampson; Richa Saxena; Beverley M Shields; Peter Shrader; Gunnar Sigurdsson; Thomas Sparsø; Klaus Strassburger; Heather M Stringham; Qi Sun; Amy J Swift; Barbara Thorand; Jean Tichet; Tiinamaija Tuomi; Rob M van Dam; Timon W van Haeften; Thijs van Herpt; Jana V van Vliet-Ostaptchouk; G Bragi Walters; Michael N Weedon; Cisca Wijmenga; Jacqueline Witteman; Richard N Bergman; Stephane Cauchi; Francis S Collins; Anna L Gloyn; Ulf Gyllensten; Torben Hansen; Winston A Hide; Graham A Hitman; Albert Hofman; David J Hunter; Kristian Hveem; Markku Laakso; Karen L Mohlke; Andrew D Morris; Colin N A Palmer; Peter P Pramstaller; Igor Rudan; Eric Sijbrands; Lincoln D Stein; Jaakko Tuomilehto; Andre Uitterlinden; Mark Walker; Nicholas J Wareham; Richard M Watanabe; Gonçalo R Abecasis; Bernhard O Boehm; Harry Campbell; Mark J Daly; Andrew T Hattersley; Frank B Hu; James B Meigs; James S Pankow; Oluf Pedersen; H-Erich Wichmann; Inês Barroso; Jose C Florez; Timothy M Frayling; Leif Groop; Rob Sladek; Unnur Thorsteinsdottir; James F Wilson; Thomas Illig; Philippe Froguel; Cornelia M van Duijn; Kari Stefansson; David Altshuler; Michael Boehnke; Mark I McCarthy
Journal:  Nat Genet       Date:  2010-07       Impact factor: 38.330

4.  Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels.

Authors:  Richa Saxena; Benjamin F Voight; Valeriya Lyssenko; Noël P Burtt; Paul I W de Bakker; Hong Chen; Jeffrey J Roix; Sekar Kathiresan; Joel N Hirschhorn; Mark J Daly; Thomas E Hughes; Leif Groop; David Altshuler; Peter Almgren; Jose C Florez; Joanne Meyer; Kristin Ardlie; Kristina Bengtsson Boström; Bo Isomaa; Guillaume Lettre; Ulf Lindblad; Helen N Lyon; Olle Melander; Christopher Newton-Cheh; Peter Nilsson; Marju Orho-Melander; Lennart Råstam; Elizabeth K Speliotes; Marja-Riitta Taskinen; Tiinamaija Tuomi; Candace Guiducci; Anna Berglund; Joyce Carlson; Lauren Gianniny; Rachel Hackett; Liselotte Hall; Johan Holmkvist; Esa Laurila; Marketa Sjögren; Maria Sterner; Aarti Surti; Margareta Svensson; Malin Svensson; Ryan Tewhey; Brendan Blumenstiel; Melissa Parkin; Matthew Defelice; Rachel Barry; Wendy Brodeur; Jody Camarata; Nancy Chia; Mary Fava; John Gibbons; Bob Handsaker; Claire Healy; Kieu Nguyen; Casey Gates; Carrie Sougnez; Diane Gage; Marcia Nizzari; Stacey B Gabriel; Gung-Wei Chirn; Qicheng Ma; Hemang Parikh; Delwood Richardson; Darrell Ricke; Shaun Purcell
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

5.  A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants.

Authors:  Laura J Scott; Karen L Mohlke; Lori L Bonnycastle; Cristen J Willer; Yun Li; William L Duren; Michael R Erdos; Heather M Stringham; Peter S Chines; Anne U Jackson; Ludmila Prokunina-Olsson; Chia-Jen Ding; Amy J Swift; Narisu Narisu; Tianle Hu; Randall Pruim; Rui Xiao; Xiao-Yi Li; Karen N Conneely; Nancy L Riebow; Andrew G Sprau; Maurine Tong; Peggy P White; Kurt N Hetrick; Michael W Barnhart; Craig W Bark; Janet L Goldstein; Lee Watkins; Fang Xiang; Jouko Saramies; Thomas A Buchanan; Richard M Watanabe; Timo T Valle; Leena Kinnunen; Gonçalo R Abecasis; Elizabeth W Pugh; Kimberly F Doheny; Richard N Bergman; Jaakko Tuomilehto; Francis S Collins; Michael Boehnke
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

6.  Low-frequency variants in HMGA1 are not associated with type 2 diabetes risk.

Authors:  Marcel Marquez; Marlène Huyvaert; John R B Perry; Richard D Pearson; Mario Falchi; Andrew P Morris; Sidonie Vivequin; Stéphane Lobbens; Loïc Yengo; Stefan Gaget; Francois Pattou; Odile Poulain-Godefroy; Guillaume Charpentier; Lena M S Carlsson; Peter Jacobson; Lars Sjöström; Olivier Lantieri; Barbara Heude; Andrew Walley; Beverley Balkau; Michel Marre; Philippe Froguel; Stéphane Cauchi
Journal:  Diabetes       Date:  2011-12-30       Impact factor: 9.461

7.  Comment on: Marquez et al. Low-frequency variants in HMGA1 are not associated with type 2 diabetes risk. Diabetes 2012;61:524-530.

Authors:  Antonio Brunetti; Eusebio Chiefari; Clive R Pullinger; Sinan Tanyolac; Daniela Foti; Vincent Durlach; Ira D Goldfine
Journal:  Diabetes       Date:  2012-05       Impact factor: 9.461

8.  Most published research findings are false-but a little replication goes a long way.

Authors:  Ramal Moonesinghe; Muin J Khoury; A Cecile J W Janssens
Journal:  PLoS Med       Date:  2007-02       Impact factor: 11.069

9.  A variant in CDKAL1 influences insulin response and risk of type 2 diabetes.

Authors:  Valgerdur Steinthorsdottir; Gudmar Thorleifsson; Inga Reynisdottir; Rafn Benediktsson; Thorbjorg Jonsdottir; G Bragi Walters; Unnur Styrkarsdottir; Solveig Gretarsdottir; Valur Emilsson; Shyamali Ghosh; Adam Baker; Steinunn Snorradottir; Hjordis Bjarnason; Maggie C Y Ng; Torben Hansen; Yu Bagger; Robert L Wilensky; Muredach P Reilly; Adebowale Adeyemo; Yuanxiu Chen; Jie Zhou; Vilmundur Gudnason; Guanjie Chen; Hanxia Huang; Kerrie Lashley; Ayo Doumatey; Wing-Yee So; Ronald C Y Ma; Gitte Andersen; Knut Borch-Johnsen; Torben Jorgensen; Jana V van Vliet-Ostaptchouk; Marten H Hofker; Cisca Wijmenga; Claus Christiansen; Daniel J Rader; Charles Rotimi; Mark Gurney; Juliana C N Chan; Oluf Pedersen; Gunnar Sigurdsson; Jeffrey R Gulcher; Unnur Thorsteinsdottir; Augustine Kong; Kari Stefansson
Journal:  Nat Genet       Date:  2007-04-26       Impact factor: 38.330

10.  Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes.

Authors:  Eleftheria Zeggini; Michael N Weedon; Cecilia M Lindgren; Timothy M Frayling; Katherine S Elliott; Hana Lango; Nicholas J Timpson; John R B Perry; Nigel W Rayner; Rachel M Freathy; Jeffrey C Barrett; Beverley Shields; Andrew P Morris; Sian Ellard; Christopher J Groves; Lorna W Harries; Jonathan L Marchini; Katharine R Owen; Beatrice Knight; Lon R Cardon; Mark Walker; Graham A Hitman; Andrew D Morris; Alex S F Doney; Mark I McCarthy; Andrew T Hattersley
Journal:  Science       Date:  2007-04-26       Impact factor: 47.728

  10 in total
  2 in total

1.  IGF2 mRNA binding protein-2 is a tumor promoter that drives cancer proliferation through its client mRNAs IGF2 and HMGA1.

Authors:  Ning Dai; Fei Ji; Jason Wright; Liliana Minichiello; Ruslan Sadreyev; Joseph Avruch
Journal:  Elife       Date:  2017-07-28       Impact factor: 8.140

2.  Lack of association of the HMGA1 IVS5-13insC variant with type 2 diabetes in an ethnically diverse hypertensive case control cohort.

Authors:  Jason H Karnes; Taimour Y Langaee; Caitrin W McDonough; Shin-Wen Chang; Miguel Ramos; James R Catlin; Octavio E Casanova; Yan Gong; Carl J Pepine; Julie A Johnson; Rhonda M Cooper-Dehoff
Journal:  J Transl Med       Date:  2013-01-09       Impact factor: 5.531

  2 in total

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