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15.1. Analysis of overlapping genetic association in type 1 and type 2 diabetes

Inshaw Jamie RJ , Sidore Carlo , Cucca Francesco , Stefana M Irina , Crouch Daniel JM , McCarthy Mark I , Mahajan Anubha , Todd John A

Diabetologia. 2021 Jun;64(6):13421347. 10.1007/s00125-021-05428-0. https://pubmed.ncbi.nlm.nih.gov/33830302/By studying data from very large-scale genome-wide association studies (GWAS) in European ancestry individuals, the authors compared genetic signals that confer risk of type 1 (T1DM) and type 2 diabetes (T2DM). Only 5 signals ...

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ey0018.12-14 | Lipids | ESPEYB18

12.14. Effects of apolipoprotein B on the lifespan and risks of major disease including type 2 diabetes: a mendelian randomization analysis using outcomes in first-degree relatives

Richardson Tom G , Wang Qin , Sanderson Eleanor , Mahajan Anubha , McCarthy Mark I , Frayling Timothy M , Ala-Korpela Mika , Sniderman Allan , Smith George Davey , Holmes Michael V

Lancet Healthy Longevity 2021 10.1016/S2666-7568(21)00086-6.In brief: Using a multivariable Mendelian randomization approach, genetic data on lipoprotein lipid levels and disease outcomes indicated that higher Apolipoprotein B (ApoB) levels increase the risks of coronary heart disease, stroke and T2DM, and shorten longevity. ApoB is emerging as a more sensitive measure of disease r...

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ey0019.15-4 | Diabetes | ESPEYB19

15.4. Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study

A Wesolowska-Andersen , CA Brorsson , R Bizzotto , A Mari , A Tura , R Koivula , A Mahajan , A Vinuela , JF Tajes , S Sharma , M Haid , C Prehn , A Artati , MG Hong , PB Musholt , A Kurbasic , F De Masi , K Tsirigos , HK Pedersen , V Gudmundsdottir , CE Thomas , K Banasik , C Jennison , A Jones , G Kennedy , J Bell , L Thomas , G Frost , H Thomsen , K Allin , TH Hansen , H Vestergaard , T Hansen , F Rutters , P Elders , L t'Hart , A Bonnefond , M Canouil , S Brage , T Kokkola , A Heggie , D McEvoy , A Hattersley , T McDonald , H Teare , M Ridderstrale , M Walker , I Forgie , GN Giordano , P Froguel , I Pavo , H Ruetten , O Pedersen , E Dermitzakis , PW Franks , JM Schwenk , J Adamski , E Pearson , MI McCarthy , S Brunak , Consortium ID

Cell Rep Med. 2022;3(1):100477. doi: 10.1016/j.xcrm.2021.100477. PubMed ID: 35106505Brief summary: To explore clinical heterogeneity, this study analyzed baseline visit data on 726 adults with newly diagnosed Type 2 diabetes (T2D) adults and identified in 4 distinct profiles (clusters of phenotypes), which predicted differences in subsequent disease progression and anti-diabetic treatments...

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ESPE Yearbook of Paediatric Endocrinology

15.1. Analysis of overlapping genetic association in type 1 and type 2 diabetes

12.14. Effects of apolipoprotein B on the lifespan and risks of major disease including type 2 diabetes: a mendelian randomization analysis using outcomes in first-degree relatives

15.4. Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals: An IMI DIRECT study

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