NAFLD is a polygenic condition but the individual and cumulative contribution of identified genes remains to be established. To get additional insight into the genetic architecture of NAFLD, GWAS-identified GCKR, PPP1R3B, NCAN, LYPLAL1 and TM6SF2 genes were resequenced by next generation sequencing in a cohort of 218 NAFLD subjects and 227 controls, where PNPLA3 rs738409 and MBOAT7 rs641738 genotypes were also obtained. A total of 168 sequence variants were detected and 47 were annotated as functional. When all functional variants within each gene were considered, only those in TM6SF2 accumulate in NAFLD subjects compared to controls (P = 0.04). Among individual variants, rs1260326 in GCKR and rs641738 in MBOAT7 (recessive), rs58542926 in TM6SF2 and rs738409 in PNPLA3 (dominant) emerged as associated to NAFLD, with PNPLA3 rs738409 being the strongest predictor (OR 3.12, 95% CI, 1.8-5.5, P < 0.001). A 4-SNPs weighted genetic risk score value >0.28 was associated with a 3-fold increased risk of NAFLD. Interestingly, rs61756425 in PPP1R3B and rs641738 in MBOAT7 genes were predictors of NAFLD severity. Overall, TM6SF2, GCKR, PNPLA3 and MBOAT7 were confirmed to be associated with NAFLD and a score based on these genes was highly predictive of this condition. In addition, PPP1R3B and MBOAT7 might influence NAFLD severity.

Evaluation of polygenic determinants of non-alcoholic fatty liver disease (NAFLD) by a candidate genes resequencing strategy / Di Costanzo, A; Belardinilli, F; Bailetti, D; Sponziello, M; D'Erasmo, L; Polimeni, L; Baratta, F; Pastori, D; Ceci, F; Montali, A; Girelli, G; De Masi, B; Angeloni, A; Giannini, G; Del Ben, M; Angelico, F; Arca, M. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - STAMPA. - 8:(2018), p. 3702. [10.1038/s41598-018-21939-0.]

Evaluation of polygenic determinants of non-alcoholic fatty liver disease (NAFLD) by a candidate genes resequencing strategy

Di Costanzo A
Writing – Original Draft Preparation
;
Belardinilli F
Validation
;
Bailetti D
Investigation
;
Sponziello M
Validation
;
D'Erasmo L
Formal Analysis
;
Polimeni L
Investigation
;
Baratta F
Investigation
;
Pastori D
Investigation
;
Ceci F
Investigation
;
Montali A
Investigation
;
Girelli G
Writing – Review & Editing
;
De Masi B
Formal Analysis
;
Angeloni A
Writing – Review & Editing
;
Giannini G
Investigation
;
Del Ben M
Writing – Review & Editing
;
Angelico F
Writing – Review & Editing
;
Arca M
Writing – Original Draft Preparation
2018

Abstract

NAFLD is a polygenic condition but the individual and cumulative contribution of identified genes remains to be established. To get additional insight into the genetic architecture of NAFLD, GWAS-identified GCKR, PPP1R3B, NCAN, LYPLAL1 and TM6SF2 genes were resequenced by next generation sequencing in a cohort of 218 NAFLD subjects and 227 controls, where PNPLA3 rs738409 and MBOAT7 rs641738 genotypes were also obtained. A total of 168 sequence variants were detected and 47 were annotated as functional. When all functional variants within each gene were considered, only those in TM6SF2 accumulate in NAFLD subjects compared to controls (P = 0.04). Among individual variants, rs1260326 in GCKR and rs641738 in MBOAT7 (recessive), rs58542926 in TM6SF2 and rs738409 in PNPLA3 (dominant) emerged as associated to NAFLD, with PNPLA3 rs738409 being the strongest predictor (OR 3.12, 95% CI, 1.8-5.5, P < 0.001). A 4-SNPs weighted genetic risk score value >0.28 was associated with a 3-fold increased risk of NAFLD. Interestingly, rs61756425 in PPP1R3B and rs641738 in MBOAT7 genes were predictors of NAFLD severity. Overall, TM6SF2, GCKR, PNPLA3 and MBOAT7 were confirmed to be associated with NAFLD and a score based on these genes was highly predictive of this condition. In addition, PPP1R3B and MBOAT7 might influence NAFLD severity.
2018
NASH, genetics, PNPLA3
01 Pubblicazione su rivista::01a Articolo in rivista
Evaluation of polygenic determinants of non-alcoholic fatty liver disease (NAFLD) by a candidate genes resequencing strategy / Di Costanzo, A; Belardinilli, F; Bailetti, D; Sponziello, M; D'Erasmo, L; Polimeni, L; Baratta, F; Pastori, D; Ceci, F; Montali, A; Girelli, G; De Masi, B; Angeloni, A; Giannini, G; Del Ben, M; Angelico, F; Arca, M. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - STAMPA. - 8:(2018), p. 3702. [10.1038/s41598-018-21939-0.]
File allegati a questo prodotto
File Dimensione Formato  
DiCostanzo_evaluation_2018.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 1.42 MB
Formato Adobe PDF
1.42 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1081395
Citazioni
  • ???jsp.display-item.citation.pmc??? 29
  • Scopus 60
  • ???jsp.display-item.citation.isi??? 53
social impact