Literature DB >> 34737425

Genome-wide association analyses highlight etiological differences underlying newly defined subtypes of diabetes.

Dina Mansour Aly1, Om Prakash Dwivedi2, Rashmi B Prasad1, Annemari Käräjämäki3,4, Rebecka Hjort5, Manonanthini Thangam1, Mikael Åkerlund1, Anubha Mahajan6,7, Miriam S Udler8,9,10, Jose C Florez8,9,10, Mark I McCarthy11,12,13,7, Julia Brosnan14, Olle Melander1, Sofia Carlsson5, Ola Hansson1,2, Tiinamaija Tuomi1,2,15,16, Leif Groop1,2, Emma Ahlqvist17.   

Abstract

Type 2 diabetes has been reproducibly clustered into five subtypes with different disease progression and risk of complications; however, etiological differences are unknown. We used genome-wide association and genetic risk score (GRS) analysis to compare the underlying genetic drivers. Individuals from the Swedish ANDIS (All New Diabetics In Scania) study were compared to individuals without diabetes; the Finnish DIREVA (Diabetes register in Vasa) and Botnia studies were used for replication. We show that subtypes differ with regard to family history of diabetes and association with GRS for diabetes-related traits. The severe insulin-resistant subtype was uniquely associated with GRS for fasting insulin but not with variants in the TCF7L2 locus or GRS reflecting insulin secretion. Further, an SNP (rs10824307) near LRMDA was uniquely associated with mild obesity-related diabetes. Therefore, we conclude that the subtypes have partially distinct genetic backgrounds indicating etiological differences.
© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.

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Year:  2021        PMID: 34737425     DOI: 10.1038/s41588-021-00948-2

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  16 in total

1.  Common genetic variation associated with Mendelian disease severity revealed through cryptic phenotype analysis.

Authors:  David R Blair; Thomas J Hoffmann; Joseph T Shieh
Journal:  Nat Commun       Date:  2022-06-27       Impact factor: 17.694

2.  Novel Subgroups of Type 2 Diabetes Display Different Epigenetic Patterns That Associate With Future Diabetic Complications.

Authors:  Silja Schrader; Alexander Perfilyev; Emma Ahlqvist; Leif Groop; Allan Vaag; Mats Martinell; Sonia García-Calzón; Charlotte Ling
Journal:  Diabetes Care       Date:  2022-07-07       Impact factor: 17.152

3.  Data-driven type 2 diabetes patient clusters predict metabolic surgery outcomes.

Authors:  Jason Flannick
Journal:  Lancet Diabetes Endocrinol       Date:  2022-02-08       Impact factor: 44.867

4.  Genome-wide discovery for diabetes-dependent triglycerides-associated loci.

Authors:  Margaret Sunitha Selvaraj; Kaavya Paruchuri; Sara Haidermota; Rachel Bernardo; Stephen S Rich; Gina M Peloso; Pradeep Natarajan
Journal:  PLoS One       Date:  2022-10-21       Impact factor: 3.752

5.  Characterisation of type 2 diabetes subgroups and their association with ethnicity and clinical outcomes: a UK real-world data study using the East London Database.

Authors:  Rohini Mathur; Sally A Hull; Sam Hodgson; Sarah Finer
Journal:  Br J Gen Pract       Date:  2022-05-26       Impact factor: 6.302

6.  Integrating polygenic risk scores in the prediction of type 2 diabetes risk and subtypes in British Pakistanis and Bangladeshis: A population-based cohort study.

Authors:  Sam Hodgson; Qin Qin Huang; Neneh Sallah; Chris J Griffiths; William G Newman; Richard C Trembath; John Wright; R Thomas Lumbers; Karoline Kuchenbaecker; David A van Heel; Rohini Mathur; Hilary C Martin; Sarah Finer
Journal:  PLoS Med       Date:  2022-05-19       Impact factor: 11.613

Review 7.  Stem Cell-Derived β Cells: A Versatile Research Platform to Interrogate the Genetic Basis of β Cell Dysfunction.

Authors:  Alberto Bartolomé
Journal:  Int J Mol Sci       Date:  2022-01-02       Impact factor: 5.923

8.  Type 2 Diabetes Partitioned Polygenic Scores Associate With Disease Outcomes in 454,193 Individuals Across 13 Cohorts.

Authors:  Daniel DiCorpo; Jessica LeClair; Joanne B Cole; Chloé Sarnowski; Fariba Ahmadizar; Lawrence F Bielak; Anneke Blokstra; Erwin P Bottinger; Layal Chaker; Yii-Der I Chen; Ye Chen; Paul S de Vries; Tariq Faquih; Mohsen Ghanbari; Valborg Gudmundsdottir; Xiuqing Guo; Natalie R Hasbani; Dorina Ibi; M Arfan Ikram; Maryam Kavousi; Hampton L Leonard; Aaron Leong; Josep M Mercader; Alanna C Morrison; Girish N Nadkarni; Mike A Nalls; Raymond Noordam; Michael Preuss; Jennifer A Smith; Stella Trompet; Petra Vissink; Jie Yao; Wei Zhao; Eric Boerwinkle; Mark O Goodarzi; Vilmundur Gudnason; J Wouter Jukema; Sharon L R Kardia; Ruth J F Loos; Ching-Ti Liu; Alisa K Manning; Dennis Mook-Kanamori; James S Pankow; H Susan J Picavet; Naveed Sattar; Eleanor M Simonsick; W M Monique Verschuren; Ko Willems van Dijk; Jose C Florez; Jerome I Rotter; James B Meigs; Josée Dupuis; Miriam S Udler
Journal:  Diabetes Care       Date:  2022-03-01       Impact factor: 17.152

9.  Type 2 diabetes classification: a data-driven cluster study of the Danish Centre for Strategic Research in Type 2 Diabetes (DD2) cohort.

Authors:  Diana Hedevang Christensen; Sia K Nicolaisen; Reimar W Thomsen; Allan Vaag; Emma Ahlqvist; Jacob V Stidsen; Jens Steen Nielsen; Kurt Hojlund; Michael H Olsen; Sonia García-Calzón; Charlotte Ling; Jørgen Rungby; Ivan Brandslund; Peter Vestergaard; Niels Jessen; Torben Hansen; Charlotte Brøns; Henning Beck-Nielsen; Henrik T Sørensen
Journal:  BMJ Open Diabetes Res Care       Date:  2022-04

Review 10.  Genetics of Type 2 Diabetes: Implications from Large-Scale Studies.

Authors:  Natalie DeForest; Amit R Majithia
Journal:  Curr Diab Rep       Date:  2022-03-19       Impact factor: 5.430

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