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      Functional validation of GWAS hits for liver disease

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      Disease Models & Mechanisms
      The Company of Biologists Limited

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          Abstract

          In recent years, genome-wide association studies (GWAS) have revealed associations between single-nucleotide polymorphisms (SNPs) and many human traits, including markers of disease. However, often the functional relevance of SNPs is unknown, and there is a need to develop rapid and effective methods to prioritise gene candidates for follow-up studies. Recently, a GWAS unveiled a suite of SNPs, mapping to 42 gene loci, associated with liver disease. Here, Wolfram Goessling and colleagues utilised zebrafish to assess the importance of a subset of these candidates, selected based on the presence of zebrafish orthologues and possible links with liver biology as gleaned from database and literature searches. They show that eight candidates are likely to be important for liver homeostasis, because knockdown of these genes in zebrafish embryos impedes hepatocyte development and/or enhances susceptibility to injury. Future studies should focus on these loci to determine the molecular mechanisms underlying liver disease. Page 1271

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          Author and article information

          Journal
          Dis Model Mech
          Dis Model Mech
          dmm
          DMM
          Disease Models & Mechanisms
          The Company of Biologists Limited
          1754-8403
          1754-8411
          September 2013
          : 6
          : 5
          : 1052
          Article
          0061052
          3759324
          37da0bf9-f102-4800-8855-a4ed25a1f0c7
          Written by editorial staff. © 2013. Published by The Company of Biologists Ltd.

          This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly cited.

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          Molecular medicine
          Molecular medicine

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