Genetic susceptibility is an important modifier of clinical outcome and natural history of progression in Alcoholic liver disease (ALD). While the significance of ethnicity in this evolution is very clear, subtle inter-individual genetic variant(s) might be important and thus we investigated those in an Indian population. Fourteen markers were genotyped within two alcohol metabolism genes [Alcohol dehydrogenase (ADH) gene clusters (ADH1B and ADH1C) and Aldehyde dehydrogenase (ALDH2)], one microsomal ethanol oxidizing enzyme cytochrome p450 (CYP2E1) and three oxidative stress response (OSR) genes (MnSOD, GSTT1 and GSTM1) among 490 Bengali individuals (322 ALD and 168 control) from Eastern and North-Eastern India and validation was performed in a new cohort of 150 Bengali patients including 100 ALD and 50 advanced non-alcoholic steatohepatitis (NASH). Out of 14 genetic variants, carriage of 5 genotypes (rs2066701CC in ADH1B, rs1693425TT in ADH1C, rs4880TT in MnSOD and GSTT1/GSTM1 null, p-value <0.05) were noted significantly higher among ALD patients while inter or intra group gene-gene interaction analysis revealed that addition of risk genotype of any OSR gene enhanced the possibility of ALD synergistically. Multiple logistic regression analysis showed independent association of rs2066701CC, rs4880TT and GSTM1 null genotype with ALD while lower frequencies of those genotypes in advanced NASH patients further confirmed their causal relation to ALD. Thus these findings suggest that the three variants of ADH1C, MnSOD and GSTM1 can be used to identify individuals who are at high risk to develop ALD and may be helpful in proper management of Indian alcoholics.
Citation: Roy N, Dasgupta D, Mukhopadhyay I, Chatterjee A, Das K, Bhowmik P, et al. (2016) Genetic Association and Gene-Gene Interaction Reveal Genetic Variations in ADH1B, GSTM1 and MnSOD Independently Confer Risk to Alcoholic Liver Diseases in India. PLoS ONE 11(3): e0149843. https://doi.org/10.1371/journal.pone.0149843
Editor: Ranjit Ray, Saint Louis University, UNITED STATES
Received: January 7, 2016; Accepted: February 5, 2016; Published: March 3, 2016
Copyright: © 2016 Roy et al. This 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.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: This work was supported by Department of Biotechnology (DBT), New Delhi, India, through project no: BT/242/NE/TBP/2011. Neelanjana Roy was supported by Council of Scientific and Industrial Research (CSIR), Government of India. Debanjali Dasgupta has registered at the West Bengal University of Health Sciences for her PhD degree. The fund was awarded to Soma Banerjee and the project was completed in early 2015.
Competing interests: The authors have declared that no competing interests exist.
Abbreviations: ADH, Alcohol dehydrogenase; Ala, Alanine; ALC, Alcoholic control; ALD, Alcoholic Liver Diseases; ALDH, Aldehyde dehydrogenase; ALKP, Alkaline phosphatise; ALT, Alanine aminotransferase; AST, Aspartate transaminase; DCLD, Decompensated chronic liver disease; GSTT1/ GSTM1, Glutathione S- Transferases; HBsAg, Hepatitis B virus surface Antigen; HCV, Hepatitis C virus; HIV, Human immunodeficiency virus; LD, Linkage disequilibrium; MLRA, Multiple logistic regression analysis; MnSOD, Manganese superoxide dismutase; NASH, Non-alcoholic steatohepatitis; Val, Valine
Alcoholic liver disease (ALD) is one of the fast emerging common causes of chronic liver diseases across the globe. It is the clinical consequences of continuous alcohol over consumption (for e.g., >80gm/day for more than 10 years) , which includes reversible fatty liver stage to end-stage cirrhosis through steatohepatitis with or without fibrosis . Although a dose effect linkage has been documented in ALD , only 20–40% of chronic alcoholics develop alcoholic hepatitis  and 8–20% progresses to cirrhosis  implicating the role of certain host genetic factors on the development and progression of ALD. Family, twin and adoption studies have further supported the intermittent relation between genetic determinants and ALD [6–8].
The biological relevance of genetic variations in two major alcohol metabolizing genes, alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH) (particularly ALDH2) in risk of development of ALD have been extensively investigated [9–10]. Genetic polymorphisms in ADH gene, which oxidizes alcohol into less toxic acetaldehyde have exhibited significant association in few of the population based case-control studies while others did not . Similarly, case-control studies with mitochondrial ALDH, which oxidizes acetaldehyde to acetate revealed incongruous results such as ALDH2*2 allele exclusively predispose in Asians  and experiences a negative physiological response against alcohol induced tissue damage whereas in another Asian study a significantly increased risk of this genotype was observed among moderate alcohol consumers .
Alcohol functions in a myriad of pathways to damage liver in a concerted manner. Genetic variations in CYP2E1, which promotes generation of reactive oxygen species (ROS), enhances lipid peroxidation and production of reactive aldehydes with potent pro-inflammatory activities  and three enzymes namely Glutathione-S-transferases (GSTT1 and GSTM1) and Manganese superoxide dismutase (MnSOD) which counteract the actions of reactive oxygen species (ROS) deserve enormous importance in the development of ALD . Deletion polymorphism studies with GSTM1 and GSTT1 in ALD also revealed contradictory results [16–17]. Case-control studies with a variation in the codon 16 of the precursor protein of MnSOD [alanine (Ala) to valine (Val)] at the –9 amino acid position of the N-terminal signal sequence , which alters its correct transport and processing in the mitochondria showed association of Ala/Ala genotype with increased risk of liver cancer, breast cancer and prostate cancer in few population studies . Thus an assessment of the etiological components of alcohol metabolism and oxidative stress pathways and their interaction may offer an alternative in controlling this global problem.
In India, with the socio-economic transition the new population groups vulnerable to alcohol related morbidities is rising rapidly. Although a very few case control association study has been documented in ALD [17,20] from North India, the genetically diverse Indian population needs well designed study to identify the susceptible risk variants as early disease predictor. Here, we have investigated the genetic association of different genes from alcohol metabolism and oxidative stress response pathways with ALD among “Bengalis” from East and North-East region of India. Considering the complexity in ALD, gene-gene interaction was performed to enhance the accuracy for predicting the high-risk individual. Finally, logistic regression analysis was used to identify ALD specific independent risk variants that may facilitate the prediction of ALD risk group.
Materials and Methods
Selection of Cases
A total of 422 consecutive subjects, belonging to a single ethnicity (Bengali), with history of significant alcohol consumption, defined as more than 80 g/day for more than 10 years  attending the OPD and indoor of (1) School of Digestive and Liver Diseases, Institute of Post Graduate Medical Education and Research (IPGME&R), Kolkata, India (East) (ncase/KOL = 220) and (2) Agartala Medical College, Tripura, India (North-East) (ncase/NE = 202) were enrolled for this study. They were assigned to patient group as per predefined inclusion/ exclusion criteria  (Fig 1). Diagnosis of (a) cirrhosis was based on clinical and radiological parameters (portal hypertension, esophageal/gastric varices and with ascites as decompensated otherwise compensated) and (b) steatohepatitis was based on ultrasonographic evidence of fatty liver and elevated liver enzymes without histological proof of cirrhosis. Hepatocellular carcinoma (HCC) was not detected in any subject included in the study.
Selection of Controls
A total of 168 Bengali alcoholic control subjects (ALC) from two different regions (ncontrol/KOL = 98 and ncontrol/NE = 70) were enrolled having “significant” alcohol intake but no evidence of liver diseases detected either in biochemical tests (normal liver function tests) or in ultrasonography, endoscopy and/ or in transient elastography .
Exclusion criteria for case and control subjects
Subjects were excluded if they had any of the following criteria (i) HBsAg, anti-HCV or HIV sero-positivity, (ii) presence of diabetes mellitus, (iii) evidence for alternative causes for liver diseases (e.g. Wilson's disease, autoimmune and drug induced liver diseases, etc.), (iv) different ethnicity and (v) unwillingness to comply with the study protocol.
Although “Bengali” patients and controls were included from two different geographical locations, both the groups exhibited similar pattern of allelic distribution. Therefore, two groups were clubbed and articulated as single module.
Non-alcoholic steatohepatitis patients (NASH)
Histologically verified 50 NASH patients with comparable age, sex and having no other liver diseases were included in the study from Department of Hepatology, IPGME&R, Kolkata.
Institutional ethical review committee of Institute of Post Graduate Medical education and Research has approved the study (No: INST/ISE/1633). Informed written consents were collected from all participants in the study.
Sample handling and DNA Preparation
The blood specimen was drawn by venipuncture from each participant and stored in two parts–(1) 3ml blood with EDTA for isolation of genomic DNA by salting-out method , (2) 2 ml blood subjected to separate serum for biochemical assays and detection of viral markers using commercially available kits from Bayer Diagnostics, India.
Selection of genes and genetic variants
Four alcohol metabolizing genes ADH1B, ADH1C, ALDH2, CYP2E1 and three OSR pathway genes MnSOD, GSTM1, GSTT1 were selected for this study. A total of 14 SNPs (rs2066701 and rs1229984 of ADH1B; rs698, rs1789920, rs1693425 of ADH1C; rs441, rs2238151 and rs4648328 of ALDH2; rs3813867, rs2031920, rs2031921 of CYP2E1; rs4880 of MnSOD; null allele of GSTM1 and GSTT1) which were previously reported as ALD associated variants in other population were selected for this study.
The frequency distribution of allelic variants of the selected SNPs were determined by either restriction fragment length polymorphism (RFLP) (rs2066701/RsaI, rs698/SspI, rs1789920/EcoRI, rs1693425/HaeIII, rs441/HaeIII, rs2238151/HaeIII and rs4648328/RsaI) or sequencing (rs2031920, rs2031921, rs3813867 and rs4880) on ABI Prism 3100 Genetic Analyzer using Big-Dye Terminator v3.1 (Applied Biosystems). Restriction enzymes were purchased from New England Biolabs. The accuracy of the variants detected by RFLP was confirmed for each locus by sequencing of randomly selected 5% of total samples. PCR was performed using locus specific primer (S1 Table). Deletion polymorphism in GSTT1 and GSTM1 genes were determined by multiplex PCR.
All the statistical analyses were performed using SPSS (version 10.0) and R software (version 2.0). Associations between alleles/ genotypes and disease occurrence were considered ‘‘strong” and ‘‘statistically significant” where p-value is < 0.05.
(a) Allele and Genotype frequency.
Initially the quality of each genotype was tested for Hardy-Weinberg equilibrium by using Haploview software. For association analysis, allelic and genotypic frequencies were calculated by direct gene counting method. Considering the major allele in the control population as reference allele 1 and variant allele 2, the associated risk genotypes were evaluated using dominant (11+12 vs. 22), recessive (11 vs. 22) and additive (11 vs. 12 +22) genetic model. Benjamini-Hochberg multiple testing correction was employed to control false discovery rate.
(b) Gene gene interaction.
To determine the influence of more than one variant on disease risk gene-gene interaction study was done by Fishers’ exact test.
This study had explored the role of genetic variations in two primary alcohol metabolizing enzymes ADH (ADH1B and ADH1C) and ALDH (ALDH2); CYP2E1 of microsomal ethanol oxidizing system (MEOS) and three oxidative stress response pathway genes (MnSOD, GSTT1 and GSTM1).
Demographic, clinical and biochemical characteristics of study subjects
A total of 512 subjects were included in the discovery cohort of the study, out of which 490 subjects (control 168, cases 322) had achieved all inclusion criteria and included for study to sustain a homogenous clinical feature which provided the power of the study as 90%. Case and control groups were clustered differentially according to their baseline characteristics (Table 1).
Non-coding variant rs2066701 in ADH gene is strongly associated with ALD
Except rs1789920 in ADH1C, all tested variants corresponded to the Hardy-Weinberg equilibrium. Frequency of minor allele “C” (rs2066701) in ADH1B and “T” (rs1693425) in ADH1C gene was significantly low in control subjects than case (0.36 vs. 0.49 and 0.19 vs. 0.23, corrected p-values 0.04 and 0.06 respectively) (S2 Table). Hence, distribution of only ADH1B genotypes (TT/CT/CC) at rs2066701 loci was found significantly different in ALD from ALC (27/48/26 vs. 40/47/13, p-value after B-H correction = 0.004) (S3A Table). In univariate analysis higher frequencies of CC genotype at rs2066701 loci of ADH1B (p = 0.0001) and TT at rs1693425 loci of ADH1C (p = 0.013) in ALD patients had confirmed their association with increased risk of ALD with respect to TT and CC genotypes in ALC respectively (Fig 2A and S3A Table). No significant alteration in the distribution of genotypes of missense variants at rs698 loci of ADH1C; rs2238151, rs4648328 and rs441 in ALDH2 were observed while rs1229984 loci of ADH1B was monomorphic (S3B Table).
Three genotypes of anti-oxidative enzymes GSTT1/GSTM1 and MnSOD are overrepresented among ALD patients
As ethanol promotes oxidative stress by inducing ROS generation and decreasing cellular defence mechanisms, genetic variations in CYP2E1, GSTT1, GSTM1 and MnSOD were studied. Three loci of CYP2E1 were monomorphic in the studied population.
Low null allele frequency of GSTM1 and GSTT1 in ALC (S2 Table) and significantly high null genotype frequency of GSTM1 in ALD (45% and 19% vs. 29% and 12%; p = 0.004, p = 0.07 respectively) implicating strong association of GSTM1 null variant with disease (Fig 2A and S3A Table).
Again the genotype frequencies of Ala/Ala (CC), Ala/Val (CT) and Val/Val (TT) at rs4880 loci of MnSOD gene were 33.3%, 51%,16% in ALC and 27%, 46%, 27% in ALD (p = 0.015). Hence total frequency of valine allele (T) was higher among ALD (50%) than ALC (41%) indicating individuals with TT genotype are more prone to development of disease (Fig 2A and S3A Table).
Pairwise interactions between genetic variants and risk of ALD
Epistasis or gene-gene interaction is an important component of a complex multi-factorial disease. Out of 14 selected variants in ADH, ALDH, CYP2E1, MnSOD, GSTT1 and GSTM1; 5 variants were found to be significantly over represented among ALD patients. We explored all possible interactions between genotypes using a regression approach considering double non-risk genotype (11 and 12) at both the loci as reference and compared with either single risk genotype (22) at one locus or double risk genotype (22 and 22) at two loci among ALD and control subjects. Fifteen combinations with double risk genotype at 5 loci showed significant association with ALD. In ALD patients, genotype CC of rs2066701 in ADH1B and TT of rs1693425 in ADH1C significantly co-occur more with null genotype of both GSTT1 and GSTM1 (4%, 3% and 12%, 6%) compared to control (0.5%, 0% and 3%, 1%) (p<0.05) whereas only rs2066701CC co-exist with rs4880TT variant of MnSOD in ALD (7% vs 3%, p = 0.043) (Fig 2B, S4C Table) implicating that those loci might interact to increase the risk of development of ALD. In addition, co-occurrence of CC of rs2066701 in ADH1B and TT of rs1693425 of ADH1C enhanced the risk of the disease (6% in ALD vs. 2% in ALC, p = 0.032) (Fig 2B, S4A Table) although the frequency of co-exixtence was quite low. Interestingly, the co-existence of either defective variants of GSTT1 or GSTM1 or combination of each with rs4880TT of MnSOD increased the risk of ALD synergistically (p<0.05 for all) (Fig 2B, S4B Table). It is noteworthy to be mentioned that very low frequency in carriage of triple risk genotype (GSTT1, GSTM1 and MnSOD) among ALD patients (11/275, 4% only) was observed and as expected it was completely absent among control subjects (0/153) (data not shown). Taken together, the results of these analyses revealed that the null genotype of oxidative stress response gene GSTM1 and CC genotype at rs2066701 of ADH1B in combination with any other risk variant showed strong association with the increased susceptibility to ALD.
Multiple logistic regression analysis to identify the independent risk loci
No strong linkage disequilibrium (LD) was observed among 5 genetic variants identified as associated risk factor in this study (data not shown) indicating independent involvement of multiple loci with the development of ALD. To identify the independent risk factor multiple logistic regression analysis (MLRA) with all variables having p-value <0.05 in previous analysis were performed. MLRA revealed that only three variants, null genotype of GSTM1 (p = 0.005), rs4880 in MnSOD (p = 0.008) and rs2066701 in ADH1B (p = 0.01) might function as independent risk factor for the development of ALD (Table 2). Stratification of these data in a new cohort would provide more tangible clues to disease management.
Relation of rs2066701CC in ADH1B, rs4880TT of MnSOD and GSTM1 null genotype with disease severity
To determine the association of three genetic risk factors with the progression of liver diseases, ALD patients were subgrouped as steatohepatitis with liver fibrosis/ compensated cirrhosis and decompensated chronic liver disease (DCLD) or cirrhosis depending on clinical parameters as described in methods and compared with ALC. It revealed that frequencies of subjects with rs2066701CC and GSTM1 null genotype were significantly higher in both the disease groups compared to control (p<0.05) whereas rs4880 TT was significantly more only in DCLD (p = 0.01) (Fig 3, S5 Table).
High frequencies of rs2066701CC in ADH1B, rs4880TT of MnSOD and GSTM1 null genotypes were only observed in ALD not in NASH patients
Although studying the mechanism of genetic variants in the development of ALD were beyond the scope of the current study, but to further elucidate their importance, genotype frequencies at those loci were determined in a cohort of NASH patients, which was included as an independent aetiology in the development of liver diseases and compared with new cohort of ALD patients. The baseline demographic and biochemical characteristics of ALD and NAFLD cohort were shown in S6 Table. After adjustment of age, frequencies of CC genotype of rs2066701 (41% vs. 7%), TT of rs4880 (36% vs. 13%) and null GSTM1 (49% vs. 15%) were found significantly (p<0.001) higher in patients with ALD than NASH suggesting their contribution in the development of ALD (Fig 4).
Enormous socio-cultural, geographical, linguistic and biological diversities among different Indian populations provided an excellent platform for genetic study of human diseases. In this study, among 14 ALD associated genetic variants, 6 variants such as rs2066701 in ADH1B; rs1789920 and rs1693425 in ADH1C; rs4880 in MnSOD and null genotypes of GSTM1, GSTT1 were overrepresented among “Bengali” ALD patients. To our surprise, distribution patterns of genetic variants were almost similar among “Bengalis” enrolled from two geographically distinct regions implicating the least environmental influence on genetic constitution of Bengalis in NE region who were migrated from either Eastern India or Bangladesh. The regression analysis revealed that specifically GSTM1 played a significant role in the development of the disease. Carriage of GSTM1 null and rs2066701CC genotype of ADH1B were found to be associated with increased risk of progression of ALC to decompensated cirrhosis. Although few case control studies from North India have identified ALD associated markers [17,20] but to the best of our knowledge this is the first systemic study from India considering the gene-gene interaction and multiple logistic regression analysis to identify independent predictors for ALD. rs2066701CC of ADH1B, rs4880TT of MnSOD and GSTM1 null genotype were identified as independent risk factor for the development of ALD and failure to display any significant correlation in NASH has further suggested their association with ALD. Hence, those three genetic variants might be considered in combination of the traditional clinical diagnostic factors to determine the disease earlier.
Among the 7 human ADH gene loci, two class I ADH genes are quite polymorphic with three functional alleles existing for ADH1B [ADH1B*1 (Arg48Arg370), ADH1B*2 (his48Arg370) and ADH1B*3 (Arg48Cys370)], two for ADH1C genes [ADH1C*1 (Arg272Ile350) and ADH1C*2 (Gln272Val350)]. ADH1B*2 allele codes for a higher activity of the enzyme in ethanol oxidation with increased formation of acetaldehyde and ROS and is highly prevalent among neighbouring East-Asians such as Chinese, Japanese and Korean whereas it is least common among Indians [24–26]. A recent meta-analysis study showed insignificant correlation between ALD and ADH1B polymorphism . Again ADH1C*1(rs698), which encodes for alcohol metabolism enzyme with high activity, has consistently found protective in alcoholic individuals in Chinese and Korean population [27–28], but found to be associated with increased risk of ALD among North Indian alcoholics , but failed to show any association in Eastern Indian alcoholics in this study implicating a strong genetic diversity exist among different Indian populations and hence, the data is inconclusive. Interestingly, one non-coding variant of ADH1B (rs2066701) and two of ADH1C, rs1693425 (synonymous variants) and rs1789920 identified with significant association to the increased risk of ALD than ALC. Intronic variants may show association for being in linkage disequilibrium with a causal variant and also if situated at the beginning of an intron may result in alteration of the protein by affecting the splicing phenomenon of the nascent mRNA. rs1789920 which is present at the beginning of intron 2 of ADH1C may have an important role during the splicing phenomenon.
Out of nineteen putative functional genes that encodes for ALDH enzymes, ALDH2 (mitochondrial isozyme) is highly expressed in the liver and stomach and it has a very high affinity for alcohol detoxification by acetaldehyde oxidation [20,27,28]. Defective ALDH2 exhibits accelerated risk of progression of gastrointestinal cancers such as gastric cancer, esophageal cancer and colon cancer but its role in the liver, the major organ of alcohol metabolism, is still controversial [29–30]. In this study, we have genotyped three intronic polymorphic sites of ALDH2 gene (rs2238151, rs4648328 and rs441) but none of them showed sigificant association with ALD among “Bengalis” which is similar to the previous observation by Bhaskar et al with six ethnic populations from four linguistic groups in India .
Chronic alcohol intake induces the level and activity of CYP2E1 and generates acetaldehyde and free radicals to induce progression of liver diseases to cirrhosis. The 5’-flanking region of CYP2E1 gene is highly polymorphic at two non-coding loci, rs3813867 and rs2031920 [3–4]. These two loci are in complete LD (D’ = 1.0) (data not shown) and the related haplotype CYP2E1*5B is associated with higher transcription of CYP2E1. Significant association of this variant with ALD and other liver diseases has been documented in Oriental  and North Indian population  but not in Caucasians . These loci were monomorphic in Bengali population from east and NE India.
The oxidative stress generated in alcoholics is neutralized by two important enzymes, glutathione-s-transfereases (GSTT1 and GSTM1) and superoxide dismutases. Consistent with the North Indian study [17,20], null genotype of GSTM1 gene and coding variant of MnSOD (rs4880Ala) with lower enzyme activity were observed with significantly higher frequencies among ALD in this study. Association of deletion variant of GSTM1 with ALD has been observed in several studies . However, negative association of this null mutant has been also detected in few studies . GSTM1 plays critical role in liver diseases as supported by our gene-gene interaction data where cumulative effect of this null variant has been observed with GSTT1 null genotype, rs4880 of MnSOD and rs2066701 of ADH1B. Again, Alanine to Valine change in the 9th position of mitochondrial target sequence of the single mitochondrial superoxide scavanger MnSOD which alters its amphiphilic helical structure crucial for transport and processing of mitochondrial protein varies among ethnic groups. Although a controversial data is available in the literature, a very few studies documented Valine as risk factor against a large data available for Alanine as effective variant which spontaneously dismutase superoxide to peroxide and oxygen [18–19]. Increased peroxide negatively sensitizes cell to TNF-α mediated apoptosis whereas Valine variant inhibits entrance of MnSOD to inner membrane and enhances programmed cell death. Furthermore, our logistic regression analysis revealed significant association of null genotype of GSTM1 and rs4880TT of MnSOD with severity of liver diseases.
So far, we have discussed that these polymorphic changes in different associated genes either single or in combination may increase susceptibility to development of ALD. Although determination of the multitude of variants associated with a complex genetic disease is difficult but a multiple logistic regression analyis with all other significantly altered parameters emphasized that null genotype of GSTM1, rs4880TT of MnSOD and rs2066701CC of ADH1B might be independently predisposed to the development of ALD. Moreover, lower frequencies of those risk genotypes in NASH patients further provided strong evidence for their association with ALD.
In conclusion, the current study confirms that the genetic variants in ADH and two oxidative stress response genes (GSTM1 and MnSOD) are independently associated with the development of ALD among Bengali alcoholics. A genetic interaction amongst them also deserves importance in disease development. As two genotypes in oxidative stress response genes were also found in significantly higher frequencies among North Indian alcoholics, these genetic variants may serve as powerful predictor of ALD in advance and hence, these markers can be useful in the management of Indian alcoholics. Further stratification in a new cohort of patients and powerful complementary mechanistic studies to determine the physiological and pathophysiological role of those variants in liver disease development has been initiated which may help to improve diagnostic and therapeutic strategies for ALD patients.
S1 Table. Primer sequences used in PCR product analysis.
S2 Table. Allelic association of Alcohol metabolism and oxidative stress related genes with Indian ALD patients.
(a)Genotypic association of the Alcohol metabolism and oxidative stress related genes in Indian ALD patients. (b): Distribution of genotypes at different loci, which were either monomorphic or not significant in Bengali population of India.
(a)Interaction between rs2066701 of ADH1B and rs1693425 of ADH1C gene. (b): Interactions between anti-oxidative genes GSTT1, GSTM1 and rs4880 of MnSOD. (c): Inter gene interaction between ALD metabolism and oxidative stress related genes.
S5 Table. Univariate analysis of genotypes with severity of liver diseases.
This work was supported by Department of Biotechnology (DBT), New Delhi, India, through project no: BT/242/NE/TBP/2011. Neelanjana Roy was supported by Council of Scientific and Industrial Research (CSIR), Government of India. Debanjali Dasgupta has registered at the West Bengal University of Health Sciences for her PhD degree.
Conceived and designed the experiments: SB A. Chowdhury KD NR DD. Performed the experiments: NR DD S. Das A. Chatterjee. Analyzed the data: IM NR DD. Contributed reagents/materials/analysis tools: P. Bhowmik P. Basu. Wrote the paper: SB NR DD. Read manuscript carefully: SB NR DD S. Datta A. Chowdhury AKS GKD.
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