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Year Number of Results
1983 1
2006 1
2007 2
2008 2
2012 1
2013 1
2014 4
2015 2
2016 1
2017 3
2018 3
2019 3
2020 2
2021 8
2022 4
2024 0

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34 results

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Page 1
Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease.
Sandholm N, Cole JB, Nair V, Sheng X, Liu H, Ahlqvist E, van Zuydam N, Dahlström EH, Fermin D, Smyth LJ, Salem RM, Forsblom C, Valo E, Harjutsalo V, Brennan EP, McKay GJ, Andrews D, Doyle R, Looker HC, Nelson RG, Palmer C, McKnight AJ, Godson C, Maxwell AP, Groop L, McCarthy MI, Kretzler M, Susztak K, Hirschhorn JN, Florez JC, Groop PH; GENIE Consortium. Sandholm N, et al. Diabetologia. 2022 Sep;65(9):1495-1509. doi: 10.1007/s00125-022-05735-0. Epub 2022 Jun 28. Diabetologia. 2022. PMID: 35763030 Free PMC article.
RESULTS: The meta-analysis identified a novel intronic variant (rs72831309) in the TENM2 gene associated with a lower risk of the combined chronic kidney disease (eGFR<60 ml/min per 1.73 m(2)) and DKD (microalbuminuria or worse) phenotype (p=9.810(-9); although not with …
RESULTS: The meta-analysis identified a novel intronic variant (rs72831309) in the TENM2 gene associated with a lower risk of the combined c …
Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease.
Smyth LJ, Dahlström EH, Syreeni A, Kerr K, Kilner J, Doyle R, Brennan E, Nair V, Fermin D, Nelson RG, Looker HC, Wooster C, Andrews D, Anderson K, McKay GJ, Cole JB, Salem RM, Conlon PJ, Kretzler M, Hirschhorn JN, Sadlier D, Godson C, Florez JC; GENIE consortium; Forsblom C, Maxwell AP, Groop PH, Sandholm N, McKnight AJ. Smyth LJ, et al. Nat Commun. 2022 Dec 22;13(1):7891. doi: 10.1038/s41467-022-34963-6. Nat Commun. 2022. PMID: 36550108 Free PMC article.
Genome-Wide Association Study of Peripheral Artery Disease.
van Zuydam NR, Stiby A, Abdalla M, Austin E, Dahlström EH, McLachlan S, Vlachopoulou E, Ahlqvist E, Di Liao C, Sandholm N, Forsblom C, Mahajan A, Robertson NR, Rayner NW, Lindholm E, Sinisalo J, Perola M, Kallio M, Weiss E, Price J, Paterson A, Klein B, Salomaa V, Palmer CNA, Groop PH, Groop L, McCarthy MI, de Andrade M, Morris AP, Hopewell JC, Colhoun HM, Kullo IJ; GoLEAD Consortium, SUMMIT Consortium†. van Zuydam NR, et al. Circ Genom Precis Med. 2021 Oct;14(5):e002862. doi: 10.1161/CIRCGEN.119.002862. Epub 2021 Oct 4. Circ Genom Precis Med. 2021. PMID: 34601942 Free PMC article.
Genetic factors affect the susceptibility to bacterial infections in diabetes.
Simonsen JR, Käräjämäki A, Antikainen AA, Toppila I, Ahlqvist E, Prasad R, Mansour-Aly D, Harjutsalo V, Järvinen A, Tuomi T, Groop L, Forsblom C, Groop PH, Sandholm N, Lehto M. Simonsen JR, et al. Sci Rep. 2021 May 4;11(1):9464. doi: 10.1038/s41598-021-88273-w. Sci Rep. 2021. PMID: 33947878 Free PMC article.
Biomarker panels associated with progression of renal disease in type 1 diabetes.
Colombo M, Valo E, McGurnaghan SJ, Sandholm N, Blackbourn LAK, Dalton RN, Dunger D, Groop PH, McKeigue PM, Forsblom C, Colhoun HM; FinnDiane Study Group and the Scottish Diabetes Research Network (SDRN) Type 1 Bioresource Collaboration. Colombo M, et al. Diabetologia. 2019 Sep;62(9):1616-1627. doi: 10.1007/s00125-019-4915-0. Epub 2019 Jun 20. Diabetologia. 2019. PMID: 31222504 Free PMC article.
METHODS: We considered 859 individuals recruited from the Scottish Diabetes Research Network Type 1 Bioresource (SDRNT1BIO) and 315 individuals from the Finnish Diabetic Nephropathy (FinnDiane) study. All had an entry eGFR between 30 and 75 ml min(-1)[1.73 m](-2), with tho …
METHODS: We considered 859 individuals recruited from the Scottish Diabetes Research Network Type 1 Bioresource (SDRNT1BIO) and 315 individu …
Sphingomyelin and progression of renal and coronary heart disease in individuals with type 1 diabetes.
Pongrac Barlovic D, Harjutsalo V, Sandholm N, Forsblom C, Groop PH; FinnDiane Study Group. Pongrac Barlovic D, et al. Diabetologia. 2020 Sep;63(9):1847-1856. doi: 10.1007/s00125-020-05201-9. Epub 2020 Jun 20. Diabetologia. 2020. PMID: 32564139 Free PMC article.
RESULTS: During a median (IQR) 10.7 (6.4, 13.5) years of follow-up, sphingomyelin was independently associated with the fastest eGFR decline (lowest 25%; median [IQR] for eGFR change: <-4.4 [-6.8, -3.1] ml min(-1) [1.73 m(-2)] year(-1)), even after adjustment for classi …
RESULTS: During a median (IQR) 10.7 (6.4, 13.5) years of follow-up, sphingomyelin was independently associated with the fastest eGFR decline …
The Relationship Between Body Fat Distribution and Nonalcoholic Fatty Liver in Adults With Type 1 Diabetes.
Parente EB, Dahlström EH, Harjutsalo V, Inkeri J, Mutter S, Forsblom C, Sandholm N, Gordin D, Groop PH; FinnDiane Study Group. Parente EB, et al. Diabetes Care. 2021 Jul;44(7):1706-1713. doi: 10.2337/dc20-3175. Epub 2021 May 24. Diabetes Care. 2021. PMID: 34031143
The WHtR cutoff of 0.5 showed the highest sensitivity (86%) and specificity (55%), whereas the BMI of 26.6 kg/m(2) showed 79% sensitivity and 57% specificity. CONCLUSIONS: Visceral adipose tissue is associated with NAFL in adults with type 1 diabetes, and WHtR may be consi …
The WHtR cutoff of 0.5 showed the highest sensitivity (86%) and specificity (55%), whereas the BMI of 26.6 kg/m(2) showed 79% sensiti …
Dietary carbohydrate intake and cardio-metabolic risk factors in type 1 diabetes.
Ahola AJ, Forsblom C, Harjutsalo V, Groop PH; FinnDiane Study Group. Ahola AJ, et al. Diabetes Res Clin Pract. 2019 Sep;155:107818. doi: 10.1016/j.diabres.2019.107818. Epub 2019 Aug 16. Diabetes Res Clin Pract. 2019. PMID: 31425769
LCD adherence (n = 69) was associated with lower BMI (25.6 vs. 27.8 kg/m(2), p = 0.030), lower variability of blood glucose measurements (0.38 vs. 0.45 mmol/l, p = 0.030), and lower diastolic blood pressure (74 vs. 79 mmHg, p = 0.048). ...
LCD adherence (n = 69) was associated with lower BMI (25.6 vs. 27.8 kg/m(2), p = 0.030), lower variability of blood glucose measureme …
34 results