Literature DB >> 11689527

Can inaccuracy of reported parental history of diabetes explain the maternal transmission hypothesis for diabetes?

B Thorand1, A D Liese, M H Metzger, P Reitmeir, A Schneider, H Löwel.   

Abstract

BACKGROUND: The mode of inheritance of type 2 diabetes mellitus is still under discussion. Several studies have suggested an excess maternal transmission, however, more recent studies could not always confirm these findings.
METHODS: We investigated the frequency of a maternal and paternal history of diabetes among diabetic and non-diabetic subjects and assessed the association between diabetes and a parental history of diabetes among participants of the MONICA Augsburg study. As an extension to previous studies, unknown parental status was taken into account.
RESULTS: Of the 542 diabetic probands, 25.3% reported a positive maternal history of diabetes and 10.9% reported a positive paternal history of diabetes. Among the 12,209 non-diabetic participants a positive maternal history was also more common than a positive paternal history (12.5% versus 7.1%). Conversely, an unknown paternal status was more common than an unknown maternal status in both groups (diabetic subjects: 27.9% versus 16.8%, non-diabetic subjects: 16.8% versus 8.4%). Adjusted odds ratios (OR) for the association between a parental history of diabetes and diabetes status were similar for a positive maternal (OR = 2.9, 95% CI : 2.3-3.6) and paternal history (OR = 2.8, 95% CI : 2.1-3.8) and for an unknown maternal (OR = 1.3, 95% CI : 1.0-1.8) and paternal history (OR = 1.5, 95% CI : 1.2-1.9).
CONCLUSION: Our findings do not support a strong excess maternal transmission of diabetes. Epidemiological biases and failure to account for 'don't know' responses may in part explain the previously observed predominance of a maternal history of diabetes.

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Year:  2001        PMID: 11689527     DOI: 10.1093/ije/30.5.1084

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  7 in total

1.  Mitochondrial and nuclear gene mutations in the type 2 diabetes patients of Coimbatore population.

Authors:  Viswanadha Vijaya Padma; Shobana Anitha; Elango Santhini; Duraisamy Pradeepa; Dominic Tresa; Perumal Ganesan; Periyasamy Ishwarya; Ramanathan Balamurugan; Ramanathan Balakrishnan
Journal:  Mol Cell Biochem       Date:  2010-08-22       Impact factor: 3.396

2.  Maternal family history of diabetes is associated with a reduced risk of cardiovascular disease in women with type 2 diabetes: the Fremantle Diabetes Study.

Authors:  David G Bruce; Kylie Van Minnen; Wendy A Davis; Jaspreet Mudhar; Michael Perret; Dayani P Subawickrama; Stephanie Venkitachalam; David Ravine; Timothy M E Davis
Journal:  Diabetes Care       Date:  2010-04-05       Impact factor: 19.112

3.  The effect of paternal and maternal history of diabetes mellitus on the development of gestational diabetes mellitus.

Authors:  A G Tabák; G Tamás; A Péterfalvi; Z Bosnyák; E Madarász; I Rákóczi; Z Kerényi
Journal:  J Endocrinol Invest       Date:  2009-05-15       Impact factor: 4.256

4.  Familial Clustering of Type 2 Diabetes among Omanis.

Authors:  Sawsan Al-Sinani; Mohammed Al-Shafaee; Ali Al-Mamari; Nicholas Woodhouse; Omaima Al-Shafie; Mohammed Hassan; Said Al-Yahyaee; Sulayma Albarwani; Deepali Jaju; Khamis Al-Hashmi; Mohammed Al-Abri; Syed Rizvi; Riad Bayoumi
Journal:  Oman Med J       Date:  2014-01

5.  Diabetes risk assessment in Mexicans and Mexican Americans: effects of parental history of diabetes are modified by adiposity level.

Authors:  Hector E Velasco Mondragon; R William Charlton; Tasha Peart; Ana I Burguete-Garcia; Mauricio Hernandez-Avila; Wen-Chi Hsueh
Journal:  Diabetes Care       Date:  2010-07-13       Impact factor: 19.112

6.  Data-mining analysis suggests an epigenetic pathogenesis for type 2 diabetes.

Authors:  Jonathan D Wren; Harold R Garner
Journal:  J Biomed Biotechnol       Date:  2005-06-30

7.  Maternal history of diabetes is associated with increased cardiometabolic risk in Chinese.

Authors:  C H T Tam; Y Wang; J Luan; H M Lee; A O Y Luk; G E Tutino; P C Y Tong; A P S Kong; W Y So; J C N Chan; R C W Ma
Journal:  Nutr Diabetes       Date:  2014-03-10       Impact factor: 5.097

  7 in total

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