Literature DB >> 30837372

Overview of genomics and post-genomics research on type 2 diabetes mellitus: Future perspectives and a framework for further studies.

Battini Mohan Reddy1, Rayabarapu Pranavchand, S A A Latheef.   

Abstract

In this review, we briefly outlined salient features of pathophysiology and results of the genetic association studies hitherto conducted on type 2 diabetes. Primarily focusing on the current status of genomic research, we briefly discussed the limited progress made during the post-genomic era and tried to identify the limitations of the post-genomic research strategies. We suggested reanalysis of the existing genomic data through advanced statistical and computational methods and recommended integrated genomics-metabolomics approaches for future studies to facilitate understanding of the gene-environment interactions in the manifestation of the disease. We also propose a framework for research that may be apt for determining the effects of urbanization and changing lifestyles in the manifestation of complex genetic disorders like type 2 diabetes in the Indian populations and offset the confounding effects of both genetic and environmental factors in the natural way.

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Year:  2019        PMID: 30837372

Source DB:  PubMed          Journal:  J Biosci        ISSN: 0250-5991            Impact factor:   1.826


  78 in total

Review 1.  Insulin: understanding its action in health and disease.

Authors:  P Sonksen; J Sonksen
Journal:  Br J Anaesth       Date:  2000-07       Impact factor: 9.166

2.  Proteomic analysis for the assessment of diabetic renal damage in humans.

Authors:  Harald Mischak; Thorsten Kaiser; Michael Walden; Meike Hillmann; Stefan Wittke; Alena Herrmann; Stefan Knueppel; Hermann Haller; Danilo Fliser
Journal:  Clin Sci (Lond)       Date:  2004-11       Impact factor: 6.124

Review 3.  Limitations of current proteomics technologies.

Authors:  Spyros Garbis; Gert Lubec; Michael Fountoulakis
Journal:  J Chromatogr A       Date:  2005-06-03       Impact factor: 4.759

4.  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

5.  Serum levels of the senescence biomarker clusterin/apolipoprotein J increase significantly in diabetes type II and during development of coronary heart disease or at myocardial infarction.

Authors:  Ioannis P Trougakos; Maria Poulakou; Marios Stathatos; Anastasia Chalikia; Andreas Melidonis; Efstathios S Gonos
Journal:  Exp Gerontol       Date:  2002 Oct-Nov       Impact factor: 4.032

6.  Association of transcription factor 7-like 2 (TCF7L2) variants with type 2 diabetes in a Finnish sample.

Authors:  Laura J Scott; Lori L Bonnycastle; Cristen J Willer; Andrew G Sprau; Anne U Jackson; Narisu Narisu; William L Duren; Peter S Chines; Heather M Stringham; Michael R Erdos; Timo T Valle; Jaakko Tuomilehto; Richard N Bergman; Karen L Mohlke; Francis S Collins; Michael Boehnke
Journal:  Diabetes       Date:  2006-09       Impact factor: 9.461

7.  Variant of transcription factor 7-like 2 (TCF7L2) gene and the risk of type 2 diabetes in large cohorts of U.S. women and men.

Authors:  Cuilin Zhang; Lu Qi; David J Hunter; James B Meigs; JoAnn E Manson; Rob M van Dam; Frank B Hu
Journal:  Diabetes       Date:  2006-09       Impact factor: 9.461

8.  Impact of diabetic nephropathy and angiotensin II receptor blockade on urinary polypeptide patterns.

Authors:  Kasper Rossing; Harald Mischak; Hans-Henrik Parving; Per K Christensen; Michael Walden; Meike Hillmann; Thorsten Kaiser
Journal:  Kidney Int       Date:  2005-07       Impact factor: 10.612

9.  Proteomic analysis of urinary protein markers for accurate prediction of diabetic kidney disorder.

Authors:  Samta Jain; Anuradha Rajput; Y Kumar; N Uppuluri; A S Arvind; U Tatu
Journal:  J Assoc Physicians India       Date:  2005-06

10.  Catalogue of soluble proteins in the human vitreous humor: comparison between diabetic retinopathy and macular hole.

Authors:  Toyofumi Nakanishi; Reiko Koyama; Tsunehiko Ikeda; Akira Shimizu
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2002-08-25       Impact factor: 3.205

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  1 in total

1.  The genetic susceptibility profile of type 2 diabetes and reflection of its possible role related to reproductive dysfunctions in the southern Indian population of Hyderabad.

Authors:  Kumuda Irgam; Battini Sriteja Reddy; Sai Gayathri Hari; Swathi Banapuram; Battini Mohan Reddy
Journal:  BMC Med Genomics       Date:  2021-11-16       Impact factor: 3.063

  1 in total

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