Page 999 - Read Online
P. 999

Page 2 of 10                                                Kim et al. Hepatoma Res 2020;6:85  I  http://dx.doi.org/10.20517/2394-5079.2020.96

               Table 1. List of five established variants associated with NAFLD  2

               Region 1      Variant  Reported   Effect      MAF  East          Simple   NAFLD spectrum
                                            of the
                                      gene
                                            variant  European Latino  Asian  African  Steatosis  NASH  Fibrosis HCC
               chr22:43928847 rs738409  PNPLA3  I148M  0.2281  0.5493  0.3816  0.1357  +[11,22,25,26] +[22]  +[22]  +[23]
               chr19:19268740 rs58542926 TM6SF2 E167K  0.07387 0.03248 0.06969 0.03248 +[27]  +[31,32] +[30]  +[30]
               chr19:54173068 rs641738  MBOAT7 Linked to  0.4322  0.3300 0.2382  0.3338  +[33,35]  +[35]  +[35]  +[33]
                                           3’-UTR
               chr2:27508073 rs1260326  GCKR  P446L  0.5914  0.6666 0.5099 0.8670  +[8,36,38]  +[38]  +[37]
               chr4:87310241  rs72613567 HSD18B13 Alternate 0.2658  0.09614 0.3266  0.06386 +[45]  +[44,45] +[45,47]
                                           slipcing
                                           P260S
                                                                          2
               1 The region of variant was annotated using the UCSC Genome Browser (GRCh38);  MAF data was from the genome aggregation
               database browser (gnomAD, https://gnomad.broadinstitute.org/). MAF: minor allele frequency; NAFLD: non-alcoholic fatty liver
               disease; NASH: non-alcoholic steatohepatitis; HCC: hepatocellular carcinoma

               environmental factors (e.g., diet), insulin resistance, increased visceral adiposity, and genetics. Genetic
                                                                                      [3]
                                                              [1,2]
               research on NAFLD has included heritability studies , candidate gene studies , familial aggregation
                                                                 [6-8]
                     [4,5]
               studies , and genome-wide association studies (GWAS) . NAFLD heritability was initially evaluated
               through a candidate gene study. Such studies are designed to examine the association of a phenotype with
               single-nucleotide polymorphisms (SNPs) in selected genes; however, they have weak statistical power .
                                                                                                     [9]
               Following candidate gene studies, GWAS have become the default methodology for testing the associations
               between diseases (phenotypes of interest) and millions of SNPs throughout the genome. Over the recent
               years, GWAS have dramatically improved our understanding of the genetic factors related to NAFLD
                                                   [10]
               susceptibility, progression, and outcomes . GWAS have led to the identification of several variants that
               are significantly associated with NAFLD. For example, one well-known genetic risk factor for NAFLD
               is a coding variant in patatin-like phospholipase domain containing protein 3 (PNPLA3), an I-to-M
               substitution at position 148 (chr22:43928847, rs738409 C>G) . This rs738409 variant has been repeatedly
                                                                   [11]
               found to be associated with NAFLD or elevated hepatic fat content [7,8,12] . Additionally, NAFLD susceptibility
               is significantly associated with four other genes: transmembrane 6 superfamily member 2 (TM6SF2),
               membrane-bound O-acyltransferase domain containing 7 (MBOAT7), glucokinase regulator (GCKR), and
               hydroxysteroid 17β-dehydrogenase (HSD17B13) .
                                                        [9]

               This was followed by next-generation sequencing, such as whole-genome sequencing and whole-exon
               sequencing, emerging as post-GWAS era advancements in genetic research. However, unlike monogenic
               diseases, heritability in complex diseases like NAFLD is affected by thousands of common genetic variants
               and thus does not follow Mendelian inheritance. GWAS have been used to uncover thousands of genetic
               variants that influence the risks for complex human traits and diseases, and are thus more appropriate for
               elucidating the genetic factors related to NAFLD.


               In the present review, we describe the five GWAS-identified risk variants that exhibit the most well-
               established associations with NAFLD [Table 1]. We also identify and discuss genetic associations between
               NAFLD and cardiovascular diseases, and suggest potential applications of genomic data for precision
               medicine.

               PAPTATIN-LIKE PHOSPHOLIPASE DOMAIN CONTAINING PROTEIN 3
               PNPLA3 p.I148M (chr22:43928847, rs738409 C>G) was the first NAFLD-related variant identified using
                     [7]
               GWAS , and has exhibited a robust and well-replicated association with NAFLD in several studies [13-15] .
               PNPLA3 is highly expressed in the liver and adipose tissues. Its expression is regulated by insulin through
                                                               [16]
               a signaling pathway that includes LXR and SREBP-1c , and is thus increased with feeding in animal
   994   995   996   997   998   999   1000   1001   1002   1003   1004