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Deciphering the genetic links between NAFLD and co-occurring conditions using a liver gene regulatory network

View ORCID ProfileSreemol Gokuladhas, View ORCID ProfileWilliam Schierding, View ORCID ProfileTayaza Fadason, View ORCID ProfileMurim Choi, View ORCID ProfileJustin M. O’Sullivan
doi: https://doi.org/10.1101/2021.12.08.471841
Sreemol Gokuladhas
1Liggins Institute, The University of Auckland, Auckland, New Zealand
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William Schierding
1Liggins Institute, The University of Auckland, Auckland, New Zealand
4The Maurice Wilkins Centre, The University of Auckland, Auckland, New Zealand
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Tayaza Fadason
1Liggins Institute, The University of Auckland, Auckland, New Zealand
4The Maurice Wilkins Centre, The University of Auckland, Auckland, New Zealand
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Murim Choi
2Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
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Justin M. O’Sullivan
1Liggins Institute, The University of Auckland, Auckland, New Zealand
3Australian Parkinson’s Mission, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
4The Maurice Wilkins Centre, The University of Auckland, Auckland, New Zealand
5MRC Lifecourse Epidemiology Unit, University of Southampton, United Kingdom
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  • For correspondence: justin.osullivan@auckland.ac.nz
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Abstract

Background & Aims Non-alcoholic fatty liver disease (NAFLD) is a multi-system metabolic disease that co-occurs with various hepatic and extra-hepatic diseases. The phenotypic manifestation of NAFLD is primarily observed in the liver. Therefore, identifying liver-specific gene regulatory interactions between variants associated with NAFLD and multimorbid conditions may help to improve our understanding of underlying shared aetiology.

Methods Here, we constructed a liver-specific gene regulatory network (LGRN) consisting of genome-wide spatially constrained expression quantitative trait loci (eQTLs) and their target genes. The LGRN was used to identify regulatory interactions involving NAFLD-associated genetic modifiers and their inter-relationships to other complex traits.

Results and Conclusions We demonstrate that MBOAT7 and IL32, which are associated with NAFLD progression, are regulated by spatially constrained eQTLs that are enriched for an association with liver enzyme levels. MBOAT7 transcript levels are also linked to eQTLs associated with cirrhosis, and other traits that commonly co-occur with NAFLD. In addition, genes that encode interacting partners of NAFLD-candidate genes within the liver-specific protein-protein interaction network were affected by eQTLs enriched for phenotypes relevant to NAFLD (e.g. IgG glycosylation patterns, OSA). Furthermore, we identified distinct gene regulatory networks formed by the NAFLD-associated eQTLs in normal versus diseased liver, consistent with the context-specificity of the eQTLs effects. Interestingly, genes targeted by NAFLD-associated eQTLs within the LGRN were also affected by eQTLs associated with NAFLD-related traits (e.g. obesity and body fat percentage). Overall, the genetic links identified between these traits expand our understanding of shared regulatory mechanisms underlying NAFLD multimorbidities.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted December 10, 2021.
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Deciphering the genetic links between NAFLD and co-occurring conditions using a liver gene regulatory network
Sreemol Gokuladhas, William Schierding, Tayaza Fadason, Murim Choi, Justin M. O’Sullivan
bioRxiv 2021.12.08.471841; doi: https://doi.org/10.1101/2021.12.08.471841
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Deciphering the genetic links between NAFLD and co-occurring conditions using a liver gene regulatory network
Sreemol Gokuladhas, William Schierding, Tayaza Fadason, Murim Choi, Justin M. O’Sullivan
bioRxiv 2021.12.08.471841; doi: https://doi.org/10.1101/2021.12.08.471841

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