Genetic variants that associate with cirrhosis have pleiotropic effects on human traits

Background and AimsCirrhosis is characterized by extensive fibrosis of the liver and is a major cause of liver‐related mortality. Cirrhosis is partially heritable but genetic contributions to cirrhosis have not been systemically explored. Here, we carry out association analyses with cirrhosis in two large biobanks and determine the effects of cirrhosis associated variants on multiple human disease/traits.MethodsWe carried out a genome‐wide association analysis of cirrhosis as a diagnosis in UK BioBank (UKBB; 1088 cases vs. 407 873 controls) and then tested top‐associating loci for replication with cirrhosis in a hospital‐based cohort from the Michigan Genomics Initiative (MGI; 875 cases of cirrhosis vs. 30 346 controls). For replicating variants or variants previously associated with cirrhosis that also affected cirrhosis in UKBB or MGI, we determined single nucleotide polymorphism effects on all other diagnoses in UKBB (PheWAS), common metabolic traits/diseases and serum/plasma metabolites.ResultsUnbiased genome‐wide association study identified variants in/near PNPLA3 and HFE, and candidate variant analysis identified variants in/near TM6SF2, MBOAT7, SERPINA1, HSD17B13, STAT4 and IFNL4 that reproducibly affected cirrhosis. Most affected liver enzyme concentrations and/or aspartate transaminase‐to‐platelet ratio index. PheWAS, metabolic trait and serum/plasma metabolite association analyses revealed effects of these variants on lipid, inflammatory and other processes including new effects on many human diseases and traits.ConclusionsWe identified eight loci that reproducibly associate with population‐based cirrhosis and define their diverse effects on human diseases and traits.See Editorial on Page 281Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/153621/1/liv14321_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/153621/2/liv14321.pd

Independent markers of nonalcoholic fatty liver disease in a gentrifying population‐based Chinese cohort

BackgroundPrevalence of nonalcoholic fatty liver disease (NAFLD) is increasing in developing countries, but its causes are not known. We aimed to ascertain the prevalence and determinants of NAFLD in a new largely unmedicated population‐based cohort from the rapidly gentrifying region of Pinggu, China.MethodsWe randomized cluster sampled 4002 Pinggu residents aged 26 to 76 years. Data from 1238 men and 1928 women without significant alcohol drinking or hepatitis virus B or C infection were analysed. NAFLD was defined using a liver‐spleen ratio (L/S ratio) ≤1.1 on unenhanced abdominal computed tomography (CT) scanning.ResultsOf men and women, 26.5% and 20.1%, respectively, had NAFLD. NAFLD prevalence was highest in younger men and older women. In multivariate logistic regression models, higher body mass index, waist circumference, serum triglyceride, alanine transaminase, and haemoglobin A1c independently increased the odds of NAFLD in both men and women separately. Higher annual household income and systolic blood pressure for men and higher serum uric acid and red meat intake and lower physical activity levels for women also independently associated with higher odds of NAFLD. Individuals with L/S ratio ≤1.1 had linearly increasing rates of obesity, diabetes, and metabolic syndrome that paralleled fatty liver increase.ConclusionsNAFLD is common in a gentrifying Chinese population particularly in younger men of high socioeconomic status and older women with sedentary behaviour who eat red meat. Demographic factors add independent risk of NAFLD above traditional metabolic risk factors. A CT L/S ratio of ≤1.1 identifies individuals at high risk of metabolic disease.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149708/1/dmrr3156_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149708/2/dmrr3156.pd

Body Composition and Genetic Lipodystrophy Risk Score Associate With Nonalcoholic Fatty Liver Disease and Liver Fibrosis

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/150618/1/hep41391.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150618/2/hep41391_am.pd

Body mass index trajectories in young adulthood predict nonâ alcoholic fatty liver disease in middle age: The CARDIA cohort study

Background & AimsNonâ alcoholic fatty liver disease is an epidemic. Identifying modifiable risk factors for nonâ alcoholic fatty liver disease development is essential to design effective prevention programmes. We tested whether 25â year patterns of body mass index change are associated with midlife nonâ alcoholic fatty liver disease.MethodsIn all, 4423 participants from Coronary Artery Risk Development in Young Adults, a prospective populationâ based biracial cohort (age 18â 30), underwent body mass index measurement at baseline (1985â 1986) and 3 or more times over 25 years. At Year 25, 3115 had liver fat assessed by nonâ contrast computed tomography. Nonâ alcoholic fatty liver disease was defined as liver attenuation â ¤40 Hounsfield Units after exclusions. Latent mixture modelling identified 25â year trajectories in body mass index per cent change (%Î ) from baseline.ResultsWe identified four distinct trajectories of BMI%Î : stable (26.2% of cohort, 25â year BMI %Π = 3.1%), moderate increase (46.0%, BMI%Π = 21.7%), high increase (20.9%, BMI%Π = 41.9%) and extreme increase (6.9%, BMI%Π = 65.9%). Y25 nonâ alcoholic fatty liver disease prevalence was higher in groups with greater BMI %Î : 4.1%, 9.3%, 13.0%, and 17.6%, respectively (Pâ trend <.0001). In multivariable analyses, participants with increasing BMI%Î had increasingly greater odds of nonâ alcoholic fatty liver disease compared to the stable group: OR: 3.35 (95% CI: 2.07â 5.42), 7.80 (4.60â 13.23) and 12.68 (6.68â 24.09) for moderate, high and extreme body mass index increase, respectively. Associations were only moderately attenuated when adjusted for baseline or Y25 body mass index.ConclusionsTrajectories of weight gain during young adulthood are associated with greater nonâ alcoholic fatty liver disease prevalence in midlife independent of metabolic covariates and baseline or concurrent body mass index highlighting the importance of weight maintenance throughout adulthood as a target for primary nonâ alcoholic fatty liver disease prevention.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142937/1/liv13603.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/142937/2/liv13603_am.pd

Twentyâ fiveâ year trajectories of insulin resistance and pancreatic βâ cell response and diabetes risk in nonalcoholic fatty liver disease

Background & AimsInsulin resistance is a risk marker for nonâ alcoholic fatty liver disease, and a risk factor for liver disease progression. We assessed temporal trajectories of insulin resistance and βâ cell response to serum glucose concentration throughout adulthood and their association with diabetes risk in nonâ alcoholic fatty liver disease.MethodsThree thousand and sixty participants from Coronary Artery Risk Development in Young Adults, a prospective biâ racial cohort of adults age 18â 30 years at baseline (1985â 1986; Y0) who completed up to 5 exams over 25 years and had fasting insulin and glucose measurement were included. At Y25 (2010â 2011), nonâ alcoholic fatty liver disease was assessed by noncontrast computed tomography after exclusion of other liver fat causes. Latent mixture modelling identified 25â year trajectories in homeostatic model assessment insulin resistance and βâ cell response homeostatic model assessmentâ β.ResultsThree distinct trajectories were identified, separately, for homeostatic model assessment insulin resistance (lowâ stable [47%]; moderateâ increasing [42%]; and highâ increasing [12%]) and homeostatic model assessmentâ β (lowâ decreasing [16%]; moderateâ decreasing [63%]; and highâ decreasing [21%]). Y25 nonâ alcoholic fatty liver disease prevalence was 24.5%. Among nonâ alcoholic fatty liver disease, highâ increasing homeostatic model assessment insulin resistance (referent: lowâ stable) was associated with greater prevalent (OR 95% CI = 8.0, 2.0â 31.9) and incident (OR = 10.5, 2.6â 32.8) diabetes after multivariable adjustment including Y0 or Y25 homeostatic model assessment insulin resistance. In contrast, nonâ alcoholic fatty liver disease participants with lowâ decreasing homeostatic model assessmentâ β (referent: highâ decreasing) had the highest odds of prevalent (OR = 14.1, 3.9â 50.9) and incident (OR = 10.3, 2.7â 39.3) diabetes.ConclusionTrajectories of insulin resistance and βâ cell response during young and middle adulthood are robustly associated with diabetes risk in nonâ alcoholic fatty liver disease. Thus, how persons with nonâ alcoholic fatty liver disease develop resistance to insulin provides important information about risk of diabetes in midlife above and beyond degree of insulin resistance at the time of nonâ alcoholic fatty liver disease assessment.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146427/1/liv13747_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146427/2/liv13747.pd

Genomeâ Wide Study of Subcutaneous and Visceral Adipose Tissue Reveals Novel Sexâ Specific Adiposity Loci in Mexican Americans

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141319/1/oby22074.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/141319/2/oby22074_am.pd

The Metabochip, a Custom Genotyping Array for Genetic Studies of Metabolic, Cardiovascular, and Anthropometric Traits

PMCID: PMC3410907This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

17‐Beta Hydroxysteroid Dehydrogenase 13 Is a Hepatic Retinol Dehydrogenase Associated With Histological Features of Nonalcoholic Fatty Liver Disease

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/148371/1/hep30350.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/148371/2/hep30350_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/148371/3/hep30350-sup-0001-Supinfo.pd

Adipose Tissue Depots and Their Cross‐Sectional Associations With Circulating Biomarkers of Metabolic Regulation

Background: Visceral adipose tissue (VAT) and fatty liver differ in their associations with cardiovascular risk compared with subcutaneous adipose tissue (SAT). Several biomarkers have been linked to metabolic derangements and may contribute to the pathogenicity of fat depots. We examined the association between fat depots on multidetector computed tomography and metabolic regulatory biomarkers. Methods and Results: Participants from the Framingham Heart Study (n=1583, 47% women) underwent assessment of SAT, VAT, and liver attenuation. We measured circulating biomarkers secreted by adipose tissue or liver (adiponectin, leptin, leptin receptor, fatty acid binding protein 4, fetuin‐A, and retinol binding protein 4). Using multivariable linear regression models, we examined relations of fat depots with biomarkers. Higher levels of fat depots were positively associated with leptin and fatty acid binding protein 4 but negatively associated with adiponectin (all P<0.001). Associations with leptin receptor, fetuin‐A, and retinol binding protein 4 varied according to fat depot type or sex. When comparing the associations of SAT and VAT with biomarkers, VAT was the stronger correlate of adiponectin (β=−0.28 [women]; β=−0.30 [men]; both P<0.001), whereas SAT was the stronger correlate of leptin (β=0.62 [women]; β=0.49 [men]; both P<0.001; P<0.001 for comparing VAT versus SAT). Although fetuin‐A and retinol binding protein 4 are secreted by the liver in addition to adipose tissue, associations of liver attenuation with these biomarkers was not stronger than that of SAT or VAT. Conclusions: SAT, VAT, and liver attenuation are associated with metabolic regulatory biomarkers with differences in the associations by fat depot type and sex. These findings support the possibility of biological differences between fat depots

Insulin Resistance Exacerbates Genetic Predisposition to Nonalcoholic Fatty Liver Disease in Individuals Without Diabetes

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149741/1/hep41353.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149741/2/hep41353_am.pd