Literature DB >> 26996131

Functional characterisation of ADIPOQ variants using individuals recruited by genotype.

Benjamin P Lee1, Henry O Lloyd-Laney1, Jonathan M Locke1, Laura J McCulloch1, Bridget Knight1, Hanieh Yaghootkar1, Giles Cory1, Katarina Kos1, Timothy M Frayling1, Lorna W Harries2.   

Abstract

Four non-coding GWAS variants in or near the ADIPOQ gene (rs17300539, rs17366653, rs3821799 and rs56354395) together explain 4% of the variation in circulating adiponectin. The functional basis for this is unknown. We tested the effect of these variants on ADIPOQ transcription, splicing and stability respectively in adipose tissue samples from participants recruited by rs17366653 genotype. Transcripts carrying rs17300539 demonstrated a 17% increase in expression (p = 0.001). Variant rs17366653 was associated with disruption of ADIPOQ splicing leading to a 7 fold increase in levels of a non-functional transcript (p = 0.002). Transcripts carrying rs56354395 demonstrated a 59% decrease in expression (p = <0.0001). No effects of rs3821799 genotype on expression was observed. Association between variation in the ADIPOQ gene and serum adiponectin may arise from effects on mRNA transcription, splicing or stability. These studies illustrate the utility of recruit-by-genotype studies in relevant human tissues in functional interpretation of GWAS signals.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  ADIPOQ; Adiponectin; Functional studies; Genetic variation; mRNA

Mesh:

Substances:

Year:  2016        PMID: 26996131     DOI: 10.1016/j.mce.2016.03.020

Source DB:  PubMed          Journal:  Mol Cell Endocrinol        ISSN: 0303-7207            Impact factor:   4.102


  5 in total

1.  Genotype-based recall to study metabolic effects of genetic variation: a pilot study of PPARG Pro12Ala carriers.

Authors:  Prasad G Kamble; Stefan Gustafsson; Maria J Pereira; Per Lundkvist; Naomi Cook; Lars Lind; Paul W Franks; Tove Fall; Jan W Eriksson; Erik Ingelsson
Journal:  Ups J Med Sci       Date:  2018-01-05       Impact factor: 2.384

2.  Balancing scientific interests and the rights of participants in designing a recall by genotype study.

Authors:  Deborah Mascalzoni; Roberta Biasiotto; Max Borsche; Norbert Brüggemann; Alessandro De Grandi; Martin Goegele; Sara Frygner-Holm; Christine Klein; Maria Kösters; Ciara Staunton; Peter P Pramstaller; Michael Krawczak; Andrew A Hicks
Journal:  Eur J Hum Genet       Date:  2021-05-13       Impact factor: 4.246

Review 3.  Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference.

Authors:  Laura J Corbin; Vanessa Y Tan; David A Hughes; Kaitlin H Wade; Dirk S Paul; Katherine E Tansey; Frances Butcher; Frank Dudbridge; Joanna M Howson; Momodou W Jallow; Catherine John; Nathalie Kingston; Cecilia M Lindgren; Michael O'Donavan; Stephen O'Rahilly; Michael J Owen; Colin N A Palmer; Ewan R Pearson; Robert A Scott; David A van Heel; John Whittaker; Tim Frayling; Martin D Tobin; Louise V Wain; George Davey Smith; David M Evans; Fredrik Karpe; Mark I McCarthy; John Danesh; Paul W Franks; Nicholas J Timpson
Journal:  Nat Commun       Date:  2018-02-19       Impact factor: 14.919

4.  Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences.

Authors:  Cassandra N Spracklen; Apoorva K Iyengar; Swarooparani Vadlamudi; Chelsea K Raulerson; Anne U Jackson; Sarah M Brotman; Ying Wu; Maren E Cannon; James P Davis; Aaron T Crain; Kevin W Currin; Hannah J Perrin; Narisu Narisu; Heather M Stringham; Christian Fuchsberger; Adam E Locke; Ryan P Welch; Johanna K Kuusisto; Päivi Pajukanta; Laura J Scott; Yun Li; Francis S Collins; Michael Boehnke; Markku Laakso; Karen L Mohlke
Journal:  PLoS Genet       Date:  2020-09-11       Impact factor: 5.917

Review 5.  Genotype-Based Recall Studies in Complex Cardiometabolic Traits.

Authors:  Paul W Franks; Nicholas J Timpson
Journal:  Circ Genom Precis Med       Date:  2018-08
  5 in total

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