Literature DB >> 25846882

Comparative analyses of genetic risk prediction methods reveal extreme diversity of genetic predisposition to nonalcoholic fatty liver disease (NAFLD) among ethnic populations of India.

Ankita Chatterjee1, Analabha Basu, Abhijit Chowdhury, Kausik Das, Neeta Sarkar-Roy, Partha P Majumder, Priyadarshi Basu.   

Abstract

Nonalcoholic fatty liver disease (NAFLD) is a distinct pathologic condition characterized by a disease spectrum ranging from simple steatosis to steato-hepatitis, cirrhosis and hepatocellular carcinoma. Prevalence of NAFLD varies in different ethnic groups, ranging from 12% in Chinese to 45% in Hispanics. Among Indian populations, the diversity in prevalence is high, ranging from 9% in rural populations to 32% in urban populations, with geographic differences as well. Here, we wished to find out if this difference is reflected in their genetic makeup. To date, several candidate genes and a few genomewide association studies (GWAS) have been carried out, and many associations between single nucleotide polymorphisms (SNPs) and NAFLD have been observed. In this study, the risk allele frequencies (RAFs) of NAFLD-associated SNPs in 20 Indian ethnic populations (376 individuals) were analysed. We used two different measures for calculating genetic risk scores and compared their performance. The correlation of additive risk scores of NAFLD for three Hapmap populations with their weighted mean prevalence was found to be high (R(2) = 0.93). Later we used this method to compare NAFLD risk among ethnic Indian populations. Based on our observation, the Indian caste populations have high risk scores compared to Caucasians, who are often used as surrogate and similar to Indian caste population in disease gene association studies, and is significantly higher than the Indian tribal populations.

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Year:  2015        PMID: 25846882     DOI: 10.1007/s12041-015-0494-0

Source DB:  PubMed          Journal:  J Genet        ISSN: 0022-1333            Impact factor:   1.166


  32 in total

1.  Genomic structures and population histories of linguistically distinct tribal groups of India.

Authors:  S Roychoudhury; S Roy; A Basu; R Banerjee; H Vishwanathan; M V Usha Rani; S K Sil; M Mitra; P P Majumder
Journal:  Hum Genet       Date:  2001-09       Impact factor: 4.132

2.  Ethnic India: a genomic view, with special reference to peopling and structure.

Authors:  Analabha Basu; Namita Mukherjee; Sangita Roy; Sanghamitra Sengupta; Sanat Banerjee; Madan Chakraborty; Badal Dey; Monami Roy; Bidyut Roy; Nitai P Bhattacharyya; Susanta Roychoudhury; Partha P Majumder
Journal:  Genome Res       Date:  2003-10       Impact factor: 9.043

3.  The structure of common genetic variation in United States populations.

Authors:  Stephen L Guthery; Benjamin A Salisbury; Manish S Pungliya; J Claiborne Stephens; Michael Bamshad
Journal:  Am J Hum Genet       Date:  2007-10-16       Impact factor: 11.025

4.  A case-control study on insulin resistance, metabolic co-variates & prediction score in non-alcoholic fatty liver disease.

Authors:  S Bajaj; P Nigam; A Luthra; R M Pandey; D Kondal; S P Bhatt; J S Wasir; A Misra
Journal:  Indian J Med Res       Date:  2009-03       Impact factor: 2.375

5.  The theory of genetic distance and evolution of human races.

Authors:  M Nei
Journal:  Jinrui Idengaku Zasshi       Date:  1978-12

6.  Fatty liver and the metabolic syndrome among Shanghai adults.

Authors:  Jian-Gao Fan; June Zhu; Xing-Jian Li; Lan Chen; Yuan-San Lu; Lui Li; Fei Dai; Feng Li; Shi-Yao Chen
Journal:  J Gastroenterol Hepatol       Date:  2005-12       Impact factor: 4.029

7.  Nonobese population in a developing country has a high prevalence of nonalcoholic fatty liver and significant liver disease.

Authors:  Kausik Das; Kshaunish Das; Partha S Mukherjee; Alip Ghosh; Sumantra Ghosh; Asit R Mridha; Tapan Dhibar; Bhaskar Bhattacharya; Dilip Bhattacharya; Byomkesh Manna; Gopal K Dhali; Amal Santra; Abhijit Chowdhury
Journal:  Hepatology       Date:  2010-05       Impact factor: 17.425

8.  Prevalence of non-alcoholic fatty liver disease in urban south Indians in relation to different grades of glucose intolerance and metabolic syndrome.

Authors:  V Mohan; S Farooq; M Deepa; R Ravikumar; C S Pitchumoni
Journal:  Diabetes Res Clin Pract       Date:  2009-01-24       Impact factor: 5.602

9.  Adaptations to climate-mediated selective pressures in humans.

Authors:  Angela M Hancock; David B Witonsky; Gorka Alkorta-Aranburu; Cynthia M Beall; Amha Gebremedhin; Rem Sukernik; Gerd Utermann; Jonathan K Pritchard; Graham Coop; Anna Di Rienzo
Journal:  PLoS Genet       Date:  2011-04-21       Impact factor: 5.917

10.  Differential susceptibility to hypertension is due to selection during the out-of-Africa expansion.

Authors:  J Hunter Young; Yen-Pei C Chang; James Dae-Ok Kim; Jean-Paul Chretien; Michael J Klag; Michael A Levine; Christopher B Ruff; Nae-Yuh Wang; Aravinda Chakravarti
Journal:  PLoS Genet       Date:  2005-12-30       Impact factor: 5.917

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  3 in total

1.  A small supernumerary marker chromosome resulting in mosaic partial tetrasomy 4q26-q31.21 in a foetus with multiple congenital malformations.

Authors:  Zhi-Tao Zhang; Wen-Xu Qi; Cai-Xia Liu; Shao-Wei Yin; Yan Zhao; Jesse Li-Ling; Yuan Lv
Journal:  J Genet       Date:  2019-03       Impact factor: 1.166

Review 2.  Non-alcoholic Fatty Liver Disease in South Asians: A Review of the Literature.

Authors:  Sital Singh; Gabriela N Kuftinec; Souvik Sarkar
Journal:  J Clin Transl Hepatol       Date:  2017-02-07

Review 3.  Analogy between non-alcoholic steatohepatitis (NASH) and hypertension: a stepwise patient-tailored approach for NASH treatment.

Authors:  Yaron Ilan
Journal:  Ann Gastroenterol       Date:  2018-03-15
  3 in total

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