Literature DB >> 24648440

Genetic Testing and Type 2 Diabetes Risk Awareness.

Mary de Groot1, Jennifer Wessel1,2.   

Abstract

PURPOSE: The purpose of this study was to examine the motivational, attitudinal, and behavioral predictors of interest in genetic testing (GT) in those with and without awareness of their risk for type 2 diabetes (T2DM).
METHODS: A convenience sample of adults visiting emergency departments, libraries, or an online research registry was surveyed. Responses from adults without diabetes who reported 1 or more risk factors for T2DM (eg, family history, body mass index > 25) were included in the analyses (n = 265).
RESULTS: Participants were 37 ± 11 years old, white (54%), and female (69%), with some college education (53%) and an annual income below $25 000 (44%). Approximately half (52%) expressed interest in GT for T2DM. Individuals were stratified by perceived risk for T2DM (risk aware or risk unaware). Among the risk aware, younger age (P < .04) predicted greater interest in GT. Among the risk unaware, family history of T2DM (P < .008) and preference to know genetic risk (P < .0002) predicted interest in GT. Both groups identified the need for low-cost GT.
CONCLUSIONS: GT is an increasingly available and accurate tool to predict T2DM risk for patients. In this sample, GT was a salient tool for those with and without awareness of their T2DM risk. Financial accessibility is critical to use of this tool for both groups.
© 2014 The Author(s).

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Year:  2014        PMID: 24648440      PMCID: PMC4474775          DOI: 10.1177/0145721714527643

Source DB:  PubMed          Journal:  Diabetes Educ        ISSN: 0145-7217            Impact factor:   2.140


  43 in total

1.  Refining the impact of TCF7L2 gene variants on type 2 diabetes and adaptive evolution.

Authors:  Agnar Helgason; Snaebjörn Pálsson; Gudmar Thorleifsson; Struan F A Grant; Valur Emilsson; Steinunn Gunnarsdottir; Adebowale Adeyemo; Yuanxiu Chen; Guanjie Chen; Inga Reynisdottir; Rafn Benediktsson; Anke Hinney; Torben Hansen; Gitte Andersen; Knut Borch-Johnsen; Torben Jorgensen; Helmut Schäfer; Mezbah Faruque; Ayo Doumatey; Jie Zhou; Robert L Wilensky; Muredach P Reilly; Daniel J Rader; Yu Bagger; Claus Christiansen; Gunnar Sigurdsson; Johannes Hebebrand; Oluf Pedersen; Unnur Thorsteinsdottir; Jeffrey R Gulcher; Augustine Kong; Charles Rotimi; Kári Stefánsson
Journal:  Nat Genet       Date:  2007-01-07       Impact factor: 38.330

2.  Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes.

Authors:  Struan F A Grant; Gudmar Thorleifsson; Inga Reynisdottir; Rafn Benediktsson; Andrei Manolescu; Jesus Sainz; Agnar Helgason; Hreinn Stefansson; Valur Emilsson; Anna Helgadottir; Unnur Styrkarsdottir; Kristinn P Magnusson; G Bragi Walters; Ebba Palsdottir; Thorbjorg Jonsdottir; Thorunn Gudmundsdottir; Arnaldur Gylfason; Jona Saemundsdottir; Robert L Wilensky; Muredach P Reilly; Daniel J Rader; Yu Bagger; Claus Christiansen; Vilmundur Gudnason; Gunnar Sigurdsson; Unnur Thorsteinsdottir; Jeffrey R Gulcher; Augustine Kong; Kari Stefansson
Journal:  Nat Genet       Date:  2006-01-15       Impact factor: 38.330

3.  Genetic testing for everyone.

Authors:  Helen Pearson
Journal:  Nature       Date:  2008-05-29       Impact factor: 49.962

4.  Judging the Archon Genomics X PRIZE for whole human genome sequencing.

Authors:  Larry Kedes; Edison Liu; C Victor Jongeneel; Granger Sutton
Journal:  Nat Genet       Date:  2011-03       Impact factor: 38.330

5.  Localization of a susceptibility gene for type 2 diabetes to chromosome 5q34-q35.2.

Authors:  Inga Reynisdottir; Gudmar Thorleifsson; Rafn Benediktsson; Gunnar Sigurdsson; Valur Emilsson; Anna Sigurlin Einarsdottir; Eyrun Edda Hjorleifsdottir; Gudbjorg Th Orlygsdottir; Gudrun Thora Bjornsdottir; Jona Saemundsdottir; Skarphedinn Halldorsson; Soffia Hrafnkelsdottir; Steinunn Bjorg Sigurjonsdottir; Svana Steinsdottir; Mitchell Martin; Jarema P Kochan; Brian K Rhees; Struan F A Grant; Michael L Frigge; Augustine Kong; Vilmundur Gudnason; Kari Stefansson; Jeffrey R Gulcher
Journal:  Am J Hum Genet       Date:  2003-07-08       Impact factor: 11.025

6.  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

7.  Polygenic risk, rapid childhood growth, and the development of obesity: evidence from a 4-decade longitudinal study.

Authors:  Daniel W Belsky; Terrie E Moffitt; Renate Houts; Gary G Bennett; Andrea K Biddle; James A Blumenthal; James P Evans; Honalee Harrington; Karen Sugden; Benjamin Williams; Richie Poulton; Avshalom Caspi
Journal:  Arch Pediatr Adolesc Med       Date:  2012-06-01

8.  Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study.

Authors:  Philippa J Talmud; Aroon D Hingorani; Jackie A Cooper; Michael G Marmot; Eric J Brunner; Meena Kumari; Mika Kivimäki; Steve E Humphries
Journal:  BMJ       Date:  2010-01-14

9.  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.  Economic costs of diabetes in the U.S. in 2012.

Authors: 
Journal:  Diabetes Care       Date:  2013-03-06       Impact factor: 19.112

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  1 in total

1.  A New Method to Assess Asymmetry in Fingerprints Could Be Used as an Early Indicator of Type 2 Diabetes Mellitus.

Authors:  Molly R Morris; Bjoern Ch Ludwar; Evan Swingle; Mahelet N Mamo; Jay H Shubrook
Journal:  J Diabetes Sci Technol       Date:  2016-06-28
  1 in total

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