, Volume 52, Issue 6, pp 1056–1060

A common variant in PNPLA3, which encodes adiponutrin, is associated with liver fat content in humans

  • A. Kotronen
  • L. E. Johansson
  • L. M. Johansson
  • C. Roos
  • J. Westerbacka
  • A. Hamsten
  • R. Bergholm
  • P. Arkkila
  • J. Arola
  • T. Kiviluoto
  • R. M. Fisher
  • E. Ehrenborg
  • M. Orho-Melander
  • M. Ridderstråle
  • L. Groop
  • H. Yki-Järvinen
Short Communication



It has recently been suggested that the rs738409 G allele in PNPLA3, which encodes adiponutrin, is strongly associated with increased liver fat content in three different ethnic groups. The aims of the present study were as follows: (1) to try to replicate these findings in European individuals with quantitative measures of hepatic fat content; (2) to study whether the polymorphism influences hepatic and adipose tissue insulin sensitivity; and (3) to investigate whether PNPLA3 expression is altered in the human fatty liver.


We genotyped 291 Finnish individuals in whom liver fat had been measured using proton magnetic resonance spectroscopy. Hepatic PNPLA3 expression was measured in 32 participants. Hepatic and adipose tissue insulin sensitivities were measured using a euglycaemic–hyperinsulinaemic (insulin infusion 0.3 mU kg−1 min−1) clamp technique combined with infusion of [3-3H]glucose in 109 participants.


The rs738409 G allele in PNPLA3 was associated with increased quantitative measures of liver fat content (p = 0.011) and serum aspartate aminotransferase concentrations (p = 0.002) independently of age, sex and BMI. Fasting serum insulin and hepatic and adipose tissue insulin sensitivity were related to liver fat content independently of genotype status. PNPLA3 mRNA expression in the liver was positively related to obesity (r = 0.62, p < 0.0001) and to liver fat content (r = 0.58, p = 0.025) in participants who were not morbidly obese (BMI < 40 kg/m2).


A common variant in PNPLA3 increases the risk of hepatic steatosis in humans.


Adiponutrin Adipose tissue insulin sensitivity Gene expression Hepatic insulin sensitivity Liver enzymes Non-alcoholic fatty liver disease rs738409 



Alanine aminotransferase


Aspartate aminotransferase


Proton magnetic resonance spectroscopy


Least square difference


Single nucleotide polymorphism




Hepatic fat accumulation due to non-alcoholic causes is related to the metabolic syndrome, obesity and type 2 diabetes [1]. It is estimated that approximately 30% of the adult population in the USA has a fatty liver [2]. Non-alcoholic fatty liver may progress to non-alcoholic steatohepatitis (NASH), which significantly increases the risk of developing end-stage liver disease [1]. NASH has been predicted to become the leading cause of liver transplantation by the year 2020 [3]. Little is known about the influence of genetic factors on hepatic fat content and inflammation.

A genome-wide association scan in African-Americans, European-Americans, and Hispanic individuals participating in the Dallas Heart Study has suggested that the rs738409 single nucleotide polymorphism (SNP) in PNPLA3 (encoding the protein adiponutrin) is associated with increased liver fat content (p = 3.4 × 10−4 in European-Americans, p = 7.5 × 10−9 in African-Americans and p = 2.0 × 10−10 in Hispanics [4]). To determine whether this finding can be reproduced in Europeans, we genotyped this SNP in 291 Finnish individuals in whom liver fat content was measured using quantitative proton magnetic resonance spectroscopy (1H-MRS) as previously described [5]. In the Dallas Heart Study, the rs738409 SNP was not associated with insulin sensitivity measured indirectly using the HOMA-IR index [4]. It has been suggested that adiponutrin has both lipogenic and lipolytic properties [6], but its exact function is unknown. Nor is it known whether PNPLA3 expression is altered in the human fatty liver. We therefore examined whether expression of PNPLA3 in human liver samples correlates with liver fat content, or, as has been shown in adipose tissue [7], with obesity. We also determined whether the PNPLA3 genotype is associated with alterations of hepatic or adipose tissue insulin sensitivity in a subset of 109 participants.



A total of 291 Finnish individuals were recruited for metabolic studies using the following inclusion criteria: (1) age 20–75 years; (2) no known acute or chronic disease, based on history and physical examination and standard laboratory tests (blood counts, serum creatinine, thyroid-stimulating hormone and electrolyte concentrations) and ECG; and (3) alcohol consumption <20 g/day. Elevated liver enzymes (serum alanine aminotransferase [ALT] and aspartate aminotransferase [AST]) were not exclusion criteria. However, individuals with evidence of hepatitis B or C, autoimmune hepatitis, clinical signs or symptoms of inborn errors of metabolism or a history of use of toxins or drugs associated with liver steatosis were excluded. Eighty-three participants had type 2 diabetes.

The participants from whom a liver biopsy was available (n = 32) were either recruited from patients undergoing laparoscopic gastric bypass surgery (n = 24, three with type 2 diabetes: nine had the CC, eight the CG and five the GG genotype; genotypes of two individuals could not be analysed due to lack of ethical permission for genetic analyses) or were among those referred to a gastroenterologist due to elevated liver function tests (n = 8, two with type 2 diabetes; all with the CC genotype), which were all due to non-alcoholic fatty liver disease. However, three out of eight participants turned out to have normal liver fat content (≤5% by histology, vide infra). All participants consumed <20 g alcohol per day. Approximately one half of the liver sample was sent to a pathologist for routine histopathological assessment, while the rest was immediately frozen and stored in liquid nitrogen. The fat content of the liver biopsy specimens (per cent of hepatocytes with macrovesicular steatosis) was determined by a liver pathologist (J. Arola) in a blinded fashion. All protocols were approved by the ethics committee of the Helsinki University Central Hospital, and each participant provided written informed consent.

Liver fat content, hepatic and adipose tissue insulin sensitivity and biochemical measurements

Liver fat content was measured by 1H-MRS as previously described [8]. Insulin sensitivity was assessed by a euglycaemic–hyperinsulinaemic clamp technique combined with an infusion of [3-3H]glucose as previously described [9]. Because hepatic glucose production is more sensitive to suppression by insulin than stimulation of muscle glucose uptake, we used a low insulin infusion rate (0.3 mU kg−1 min−1) to accurately quantify interindividual variation in hepatic insulin sensitivity. These measurements were available from 109 individuals. Rates of glucose appearance and disappearance were calculated using Steele’s non-steady-state equations. Since insulin clearance is altered by a fatty liver, hepatic insulin sensitivity was calculated by dividing the per cent suppression of hepatic glucose production by the mean serum insulin concentration (pmol/l) [9]. Adipose tissue insulin sensitivity was calculated by dividing the per cent suppression of serum NEFA by insulin by the mean serum insulin concentration (pmol/l) [9]. Body composition and circulating variables were measured as previously described for these individuals [8].


Genomic DNA was extracted from whole blood. Approximately 10 ng DNA was used for genotyping with the TaqMan PCR method (Applied Biosystems, Foster City, CA, USA) according to manufacturer’s instructions. Post-PCR allelic discrimination was carried out measuring allele-specific fluorescence on an ABI Prism Sequence Detection System ABI 7900HT (Applied Biosystems). This assay is designed for the reverse strand so that the G allele corresponds to the 148Met phenotype while the gene is transcribed from the forward strand. The success rate for genotyping was >95%. The genotype was in Hardy–Weinberg equilibrium.

Hepatic mRNA expression analyses

RNA was converted to cDNA using a Quantitect Reverse Transcription kit according to the manufacturer’s recommendations (Qiagen, Düsseldorf, Germany). Levels of mRNA expression were analysed using TaqMan PNPLA3 Assay on demand (Hs00228747_m1) and the endogenous control cyclophilin A (4326316E) on the ABI 7900HT according to manufacturer’s recommendation (Applied Biosystems). Ten nanograms of cDNA was used in each reaction and all samples were run in triplicate. Data were analysed using the ΔCt method.

Statistical analyses

Non-normally distributed data were used after log10 transformation. If distributed normally, data are shown as means ± SEM, whereas non-normally distributed data are shown as median (25% percentile, 75% percentile). Hardy–Weinberg equilibrium was assessed using the χ2 test. One-way ANOVA was used to assess effects of the genotype on different variables. The least square difference (LSD) test was used for post hoc analyses. Analysis of covariance was used to adjust liver fat for age, sex and BMI. Analysis of covariance was used to compare slopes and intercepts of regression lines of the associations between insulin sensitivities and liver fat content in different genotype carriers.

Calculations were made using SPSS 15.0 for Windows (SPSS, Chicago, IL, USA) and figures using GraphPad Prism version 4.00 for Windows (GraphPad Software, San Diego, CA, USA). p < 0.05 was considered statistically significant.


Liver fat

Median liver fat content of the whole cohort was 5.95% (interquartile range 2.00–15.55%). The rs738409 G allele was associated with increased liver fat content (p = 0.011, Fig. 1a). The difference became even more significant after adjustment for age, sex and BMI (p = 0.002), and after additional adjustment for glucose tolerance status and medications (p = 0.004). There were no differences in fasting plasma glucose, fasting serum triacylglycerol (TG), HDL- and LDL-cholesterol, or total serum cholesterol concentrations between different PNPLA3 genotype carriers (Table 1).
Fig. 1

Medians and interquartile ranges of liver fat content measured by 1H-MRS (p = 0.011) (a) and serum AST (S-AST) (p = 0.002) (b) in PNPLA3 rs738409 genotypes. *p < 0.05, **p < 0.01 for LSD post hoc test. Relationships between liver fat content (log10 scale) and hepatic (c, r = −0.62, p < 0.0001) and adipose tissue (d, r = −0.71, p < 0.0001) insulin sensitivity. There were no differences in slopes and intercepts of these associations between CC (white circles, n = 62 [c] and n = 64 [d]), CG (grey circles, n = 41) and GG (black circles, n = 6 [c] and n = 7 [d]) PNPLA3 rs738409 genotype carriers

Table 1

Associations between PNPLA3 rs738409 and clinical variables


PNPLA3 rs738409








Age (years)

42 ± 1

44 ± 1

37 ± 2

Sex (female)

86 (51)

63 (60)

11 (61)

Type 2 diabetes

39 (23)

33 (31)

4 (22)

BMI (kg/m2)

30.5 ± 0.5

30.0 ± 0.6

32.2 ± 1.9

Fasting plasma glucose (mmol/l)

6.4 ± 0.2

6.5 ± 0.2

6.6 ± 0.7

Fasting serum insulin (pmol/l)

72 ± 4

70 ± 5

74 ± 14

Fasting serum TG (mmol/l)

1.82 ± 0.13

1.60 ± 0.09

1.52 ± 0.25

Fasting serum HDL-cholesterol (mmol/l)

1.35 ± 0.03

1.41 ± 0.04

1.27 ± 0.09

Fasting serum LDL-cholesterol (mmol/l)

2.93 ± 0.07

2.83 ± 0.07

3.00 ± 0.25

Total serum cholesterol (mmol/l)

5.05 ± 0.08

4.94 ± 0.08

4.82 ± 0.28

Fasting serum ALT (U/l)

41 ± 3

43 ± 3

67 ± 18

Fasting serum AST (U/l)

32 ± 2

37 ± 2*

48 ± 9**,†

Liver fat (%)

9.0 ± 0.8

10.4 ± 1.1*

14.1 ± 1.9**,†

Data are n (%) or means ± SEM

p < 0.05 for one-way ANOVA; *p < 0.05, **p < 0.01 for LSD post hoc test compared with CC genotype

The rs738409 G allele was associated with increased serum AST concentrations (p = 0.002, Fig. 1b) also after adjustment for age, sex and BMI (p = 0.002). Serum ALT concentrations also showed a tendency to be higher in rs738409 G allele carriers (p = 0.068; p = 0.056 after adjustment for age, sex and BMI).

Insulin sensitivity

There were no differences in fasting serum insulin concentrations between different PNPLA3 genotype carriers (Table 1). The slopes and intercepts of the associations between liver fat content and directly measured hepatic insulin sensitivity also did not differ significantly between different genotype carriers (Fig. 1c). This was also true for the association between adipose tissue insulin sensitivity and liver fat content (Fig. 1d).

PNPLA3 gene expression in the liver

We next analysed PNPLA3 mRNA expression in the liver of 32 individuals. BMI was closely related to PNPLA3 expression in the liver (r = 0.62, p < 0.0001). We therefore divided the participants into two groups of individuals using a cut-off of morbid obesity (BMI = 40 kg/m2). Hepatic PNPLA3 expression was positively related to liver fat content in participants with BMI <40 kg/m2 (r = 0.58, p = 0.025, n = 15), but not in those with BMI >40 kg/m2 (r = −0.30, NS, n = 17). This relationship remained significant after adjustment for age, sex and BMI (r = 0.59, p = 0.021).


Here we report that the PNPLA3 rs738409 G allele, encoding I148M, is associated with increased liver fat content independently of obesity in Europeans. Our results are similar to the very recent findings in African-Americans, European-Americans and Hispanic individuals participating in the Dallas Heart Study [4], and with a recent report showing an association between genetic variation in the same region and liver enzyme concentrations [10]. In these, as well as in the present study, liver fat content was measured using state-of-the-art methodology, which allows precise quantification of hepatic fat content. Although liver fat content is related to features of insulin resistance [5], no relationships between the rs738409 SNP and insulin resistance were observed. The result is consistent with data from the Dallas Heart Study, where liver fat but not fasting insulin was associated with the rs738409 G allele.

We found that serum AST concentrations were significantly related to the rs738409 SNP (p = 0.002), suggesting that this SNP indeed influences risk of non-alcoholic fatty liver disease. In the present study, serum ALT concentrations were almost significantly related to the rs738409 SNP (p = 0.056). In the Dallas Heart Study, the rs738409 G allele was associated with increased serum ALT concentrations in Hispanics [4].

Increased liver fat content associates with increased hepatic and adipose tissue insulin resistance in both non-diabetic individuals and type 2 diabetic patients [9]. In the present study, we found that the relationships between liver fat and directly measured hepatic and adipose tissue insulin sensitivity were uninfluenced by the rs738409 genotype (Fig. 1c, d), although these data should be interpreted with caution because the number of individuals homozygous for the rare allele was low. These results suggest that both hepatic and adipose tissue insulin sensitivities decrease with increasing liver fat content independently of the PNPLA3 rs738409 genotype. However, although the rare GG PNPLA3 genotype does not influence insulin sensitivity, it appears to increase liver fat content.

In animals, adiponutrin is primarily expressed in white and brown adipose tissues [11]. Adiponutrin levels are low in the fasting state and increase especially after high-carbohydrate feeding [12]. In humans, expression of adiponutrin in both subcutaneous and intra-abdominal adipose tissue is positively related to obesity [7] and reduced by weight loss [13]. In the present study we found, to the best of our knowledge for the first time in humans, that expression of adiponutrin is positively correlated with obesity also in the liver. Given that adiponutrin has transacetylase activity, which catalyses TG synthesis in adipocytes [6], and is upregulated by insulin [7] and carbohydrate refeeding [13], adiponutrin could have a lipogenic function in the liver. If so, one might expect expression of the gene encoding adiponutrin to correlate positively with liver fat content. This was observed in individuals who were not morbidly obese. Because it is not ethically possible to sample normal human liver, the liver biopsies were obtained from either patients referred to a gastroenterologist because of suspected non-alcoholic fatty liver disease or from obese patients undergoing laparoscopic gastric bypass operation, which is a limitation. However, 47% (15 out of 24) of the individuals had a normal liver fat content.

In conclusion, the common variant in the PNPLA3 gene increases risk of hepatic steatosis. It will be important to delineate the mechanisms by which these genetic variants influence the adiponutrin protein to exert these effects.


We acknowledge M. Urjansson, K. Sohlo, T. Mård, A.-M. Häkkinen, A. Hakkarainen, P. Pölönen (all University of Helsinki) and K. Husman (Karolinska Institutet) for excellent technical assistance; J. Halavaara, J. Kaprio, S. Mäkimattila, K. Pietiläinen, L. Ryysy, A. Seppälä-Lindroos, A. Rissanen, A. Sovijärvi, K. Teramo, M. Tiikkainen and S. Vehkavaara (all University of Helsinki) for their help with data collection; and the volunteers for their help. This study was supported by research grants from the Academy of Finland (H. Yki-Järvinen), the Sigrid Juselius Foundation (H. Yki-Järvinen), the Novo Nordisk Foundation (H. Yki-Järvinen, M. Ridderstråle), the Biomedicum Helsinki Foundation (A. Kotronen), the Paulo Foundation (A. Kotronen), the Swedish Heart-Lung Foundation (A. Hamsten, E. Ehrenborg), the Stockholm County Council (project 562183, A. Hamsten), the Wallenberg Foundation (L. Groop), a Nordic Centre of Excellence in Disease Genetics grant by the Nordic Research Councils (L. Groop), the Swedish Research Council, Region Skåne (M. Ridderstråle), the Påhlsson Foundation (M. Ridderstråle), the UMAS Foundation (M. Ridderstråle), the Swedish Diabetes foundation (M. Ridderstråle), the Craford Foundation (M. Ridderstråle), the Lundgren Foundation (M. Ridderstråle) and the Bergvall Foundation (M. Ridderstråle). This work is part of the project Hepatic and Adipose Tissue and Functions in the Metabolic Syndrome (http://www.hepadip.org), which is supported by the European Commission as an Integrated Project under the 6th Framework Programme (Contract LSHM-CT-2005-018734) (H. Yki-Järvinen).

Duality of interest

The authors declare that there is no duality of interest associated with this manuscript.

Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • A. Kotronen
    • 1
    • 2
  • L. E. Johansson
    • 3
  • L. M. Johansson
    • 3
  • C. Roos
    • 4
  • J. Westerbacka
    • 1
  • A. Hamsten
    • 5
  • R. Bergholm
    • 1
    • 2
  • P. Arkkila
    • 6
  • J. Arola
    • 7
  • T. Kiviluoto
    • 8
  • R. M. Fisher
    • 5
  • E. Ehrenborg
    • 5
  • M. Orho-Melander
    • 4
  • M. Ridderstråle
    • 3
  • L. Groop
    • 4
  • H. Yki-Järvinen
    • 1
  1. 1.Department of Medicine, Division of DiabetesUniversity of HelsinkiHelsinkiFinland
  2. 2.Minerva Medical Research InstituteHelsinkiFinland
  3. 3.Department of Clinical Sciences, Clinical ObesityUniversity Hospital Malmö, Lund UniversityMalmöSweden
  4. 4.Department of Clinical Sciences, Diabetes and EndocrinologyUniversity Hospital Malmö, Lund UniversityMalmöSweden
  5. 5.Atherosclerosis Research Unit, Department of Medicine, Center for Molecular MedicineKarolinska InstitutetStockholmSweden
  6. 6.Department of Medicine, Division of GastroenterologyUniversity of HelsinkiHelsinkiFinland
  7. 7.Department of PathologyUniversity of Helsinki and HUSLABHelsinkiFinland
  8. 8.Department of SurgeryUniversity of HelsinkiHelsinkiFinland

Personalised recommendations