Literature DB >> 30354344

Genotype-Based Recall Studies in Complex Cardiometabolic Traits.

Paul W Franks1,2,3,4, Nicholas J Timpson5.   

Abstract

In genotype-based recall (GBR) studies, people (or their biological samples) who carry genotypes of special interest for a given hypothesis test are recalled from a larger cohort (or biobank) for more detailed investigations. There are several GBR study designs that offer a range of powerful options to elucidate (1) genotype-phenotype associations (by increasing the efficiency of genetic association studies, thereby allowing bespoke phenotyping in relatively small cohorts), (2) the effects of environmental exposures (within the Mendelian randomization framework), and (3) gene-treatment interactions (within the setting of GBR interventional trials). In this review, we overview the literature on GBR studies as applied to cardiometabolic health outcomes. We also review the GBR approaches used to date and outline new methods and study designs that might enhance the utility of GBR-focused studies. Specifically, we highlight how GBR methods have the potential to augment randomized controlled trials, providing an alternative application for the now increasingly accepted Mendelian randomization methods usually applied to large-scale population-based data sets. Further to this, we consider how functional and basic science approaches alongside GBR designs offer intellectually intriguing and potentially powerful ways to explore the implications of alterations to specific (and potentially druggable) biological pathways.

Entities:  

Keywords:  clinical trial; environmental exposure; genetic association studies; random allocation; research design

Mesh:

Year:  2018        PMID: 30354344      PMCID: PMC6813040          DOI: 10.1161/CIRCGEN.118.001947

Source DB:  PubMed          Journal:  Circ Genom Precis Med        ISSN: 2574-8300


  48 in total

1.  Role of melanocortin signalling in the preference for dietary macronutrients in human beings.

Authors:  Agatha van der Klaauw; Julia Keogh; Elana Henning; Cheryl Stephenson; Victoria M Trowse; Paul Fletcher; Sadaf Farooqi
Journal:  Lancet       Date:  2015-02-26       Impact factor: 79.321

2.  The in vivo effects of the Pro12Ala PPARgamma2 polymorphism on adipose tissue NEFA metabolism: the first use of the Oxford Biobank.

Authors:  G D Tan; M J Neville; E Liverani; S M Humphreys; J M Currie; L Dennis; B A Fielding; F Karpe
Journal:  Diabetologia       Date:  2005-12-17       Impact factor: 10.122

3.  Evidence for gene-nutrient interaction at the PPARgamma locus.

Authors:  J Luan; P O Browne; A H Harding; D J Halsall; S O'Rahilly; V K Chatterjee; N J Wareham
Journal:  Diabetes       Date:  2001-03       Impact factor: 9.461

4.  Genotype-based treatment of type 2 diabetes with an α2A-adrenergic receptor antagonist.

Authors:  Yunzhao Tang; Annika S Axelsson; Peter Spégel; Lotta E Andersson; Hindrik Mulder; Leif C Groop; Erik Renström; Anders H Rosengren
Journal:  Sci Transl Med       Date:  2014-10-08       Impact factor: 17.956

5.  High endogenous salivary amylase activity is associated with improved glycemic homeostasis following starch ingestion in adults.

Authors:  Abigail L Mandel; Paul A S Breslin
Journal:  J Nutr       Date:  2012-04-04       Impact factor: 4.798

6.  Postprandial plasma ApoB-48 levels are influenced by a polymorphism in the promoter of the microsomal triglyceride transfer protein gene.

Authors:  Björn Lundahl; Anders Hamsten; Fredrik Karpe
Journal:  Arterioscler Thromb Vasc Biol       Date:  2002-02-01       Impact factor: 8.311

7.  Functional characterisation of ADIPOQ variants using individuals recruited by genotype.

Authors:  Benjamin P Lee; Henry O Lloyd-Laney; Jonathan M Locke; Laura J McCulloch; Bridget Knight; Hanieh Yaghootkar; Giles Cory; Katarina Kos; Timothy M Frayling; Lorna W Harries
Journal:  Mol Cell Endocrinol       Date:  2016-03-17       Impact factor: 4.102

8.  Gene × environment interactions in obesity: the state of the evidence.

Authors:  Shafqat Ahmad; Tibor V Varga; Paul W Franks
Journal:  Hum Hered       Date:  2013-09-27       Impact factor: 0.444

9.  A framework for the investigation of pleiotropy in two-sample summary data Mendelian randomization.

Authors:  Jack Bowden; Fabiola Del Greco M; Cosetta Minelli; George Davey Smith; Nuala Sheehan; John Thompson
Journal:  Stat Med       Date:  2017-01-23       Impact factor: 2.373

10.  Genetic variation in the multidrug and toxin extrusion 1 transporter protein influences the glucose-lowering effect of metformin in patients with diabetes: a preliminary study.

Authors:  Matthijs L Becker; Loes E Visser; Ron H N van Schaik; Albert Hofman; André G Uitterlinden; Bruno H Ch Stricker
Journal:  Diabetes       Date:  2009-02-19       Impact factor: 9.461

View more
  2 in total

Review 1.  Ethical, legal and social/societal implications (ELSI) of recall-by-genotype (RbG) and genotype-driven-research (GDR) approaches: a scoping review.

Authors:  Katharina Tschigg; Luca Consoli; Roberta Biasiotto; Deborah Mascalzoni
Journal:  Eur J Hum Genet       Date:  2022-06-15       Impact factor: 5.351

Review 2.  Next-generation epidemiology: the role of high-resolution molecular phenotyping in diabetes research.

Authors:  Paul W Franks; Hugo Pomares-Millan
Journal:  Diabetologia       Date:  2020-08-25       Impact factor: 10.122

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.