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1.
Kempe-Teufel, D. et al.: A polygenic risk score of lipolysis-increasing alleles determines visceral fat mass and proinsulin conversion. J. Clin. Endocrinol. Metab. 104, 1090-1098 (2019)
2.
Linder, K. et al.: Dietary niacin intake predicts the decrease of liver fat content during a lifestyle intervention. Sci. Rep. 9:1303 (2019)
3.
Kantartzis, K. et al.: Effects of resveratrol supplementation on liver fat content in overweight and insulin-resistant subjects: A randomized, double-blind, placebo-controlled clinical trial. Diabetes Obes. Metab. 20, 1793-1797 (2018)
4.
Lutz, S.Z. et al.: Single nucleotide polymorphisms in the G-protein coupled receptor kinase 5 (GRK5) gene are associated with plasma LDL-cholesterol levels in humans. Sci. Rep. 8:7745 (2018)
5.
Fehlert, E. et al.: Genetic determination of body fat distribution and the attributive influence on metabolism. Obesity 25, 1277-1283 (2017)
6.
Kantartzis, K. et al.: An extended fatty liver index to predict non-alcoholic fatty liver disease. Diabetes Metab. 43, 229-239 (2017)
7.
Stefan, N. ; Schick, F. & Häring, H.-U.: Causes, characteristics, and consequences of metabolically unhealthy normal weight in humans. Cell Metab. 26, 292-300 (2017)
8.
Wagner, R. et al.: The protective effect of human renal sinus fat on glomerular cells is reversed by the hepatokine fetuin-A. Sci. Rep. 7:2261 (2017)
9.
Böhm, A. et al.: TGFβ contributes to impaired exercise response by suppression of mitochondrial key regulators in skeletal muscle. Diabetes 65, 2849-2861 (2016)
10.
Lutz, S.Z. et al.: Genetic variation in the 11β-hydroxysteroid-dehydrogenase 1 gene determines NAFLD and visceral obesity. J. Clin. Endocrinol. Metab. 101, 4743-4751 (2016)
11.
Machicao, F. et al.: Glucose-raising polymorphisms in the human clock gene Cryptochrome 2 (CRY2) affect hepatic lipid content. PLoS ONE 11:e0145563 (2016)
12.
Mauch, L.* ; Steidle, G.* ; Machann, J. ; Yang, B.* & Schick, F.*: A fully automatic reference deconvolution strategy to increase the accuracy of in vivo lipid signal quantification. Magn. Reson. Med. 75, 1391-1401 (2016)
13.
Randrianarisoa, E. et al.: Relationship of serum trimethylamine n-oxide (TMAO) levels with early atherosclerosis in humans. Sci. Rep. 6:26745 (2016)
14.
Stefan, N. ; Fritsche, A. ; Schick, F. & Häring, H.-U.: Phenotypes of prediabetes and stratification of cardiometabolic risk. Lancet Diabet. Endocrinol. 4, 789-798 (2016)
15.
Bongers, M.N.* et al.: Lebervolumen, Leberfettanteil und Körpergewicht im Verlauf einer Lebensstilinterventionsstudie : Eine Analyse mit quantitativen MR-basierten Methoden. Radiologe 55, 323-328 (2015)
16.
Kächele, M.* et al.: Variation in the phosphoinositide 3-kinase gamma gene affects plasma HDL-cholesterol without modification of metabolic or inflammatory markers. PLoS ONE 10, DOI: 10.1371/journal.pone.0144494 (2015)
17.
Stefan, N. et al.: A high-risk phenotype associates with reduced improvement in glycaemia during a lifestyle intervention in prediabetes. Diabetologia 58, 2877-2884 (2015)
18.
Wagner, R. et al.: SNP x SNP interactions in the VPS13C/C2CD4A/C2CD4B locus modulate diabetes risk. Diabetologia 58, S142 (2015)
19.
Linder, K. et al.: Relationships of body composition and liver fat content with insulin resistance in obesity-matched adolescents and adults. Obesity 13, 733-748 (2014)
20.
Lutz, S.Z. et al.: Common genetic variation in the human CTF1 locus, encoding cardiotrophin-1, determines insulin sensitivity. PLoS ONE 9:e100391 (2014)