ArticleJournal of genetics2015
Comparative analyses of genetic risk prediction methods reveal extreme diversity of genetic predisposition to nonalcoholic fatty liver disease (NAFLD) among ethnic populations of India.
Article in Journal of genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 14 citations in OpenAlex.
- Unveiling metabolic dysfunction-associated fatty liver disease: Knowledge gaps and attitudes among Lebanese university students.PloS one · 2024Article
- A small supernumerary marker chromosome resulting in mosaic partial tetrasomy 4q26-q31.21 in a foetus with multiple congenital malformations.Journal of genetics · 2019Article
- Non-alcoholic Fatty Liver Disease in South Asians: A Review of the Literature.Journal of clinical and translational hepatology · 2017Review
- Analogy between non-alcoholic steatohepatitis (NASH) and hypertension: a stepwise patient-tailored approach for NASH treatment.Annals of gastroenterologyReview
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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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