Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Paul Franks

Paul Franks

Principal investigator

Paul Franks

A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease

Author

  • Robert A. Scott
  • Daniel F. Freitag
  • Li Li
  • Audrey Y. Chu
  • Praveen Surendran
  • Robin Young
  • Niels Grarup
  • Alena Stancáková
  • Yuning Chen
  • Tibor V. Varga
  • Hanieh Yaghootkar
  • Jian'an Luan
  • Jing Hua Zhao
  • Sara M. Willems
  • Jennifer Wessel
  • Shuai Wang
  • Nisa Maruthur
  • Kyriaki Michailidou
  • Ailith Pirie
  • Sven J. Van Der Lee
  • Christopher Gillson
  • Ali Amin Al Olama
  • Philippe Amouyel
  • Larraitz Arriola
  • Dominique Arveiler
  • Iciar Aviles-Olmos
  • Beverley Balkau
  • Aurelio Barricarte
  • Inês Barroso
  • Sara Benlloch Garcia
  • Joshua C. Bis
  • Stefan Blankenberg
  • Michael Boehnke
  • Heiner Boeing
  • Eric Boerwinkle
  • Ingrid B. Borecki
  • Jette Bork-Jensen
  • Sarah Bowden
  • Carlos Caldas
  • Muriel Caslake
  • L. Adrienne Cupples
  • Carlos Cruchaga
  • Jacek Czajkowski
  • Marcel Den Hoed
  • Janet A. Dunn
  • Helena M. Earl
  • Georg B. Ehret
  • Ele Ferrannini
  • Jean Ferrieres
  • Thomas Foltynie
  • Ian Ford
  • Nita G. Forouhi
  • Francesco Gianfagna
  • Carlos Gonzalez
  • Sara Grioni
  • Louise Hiller
  • Jan Håkan Jansson
  • Marit E. Jørgensen
  • J. Wouter Jukema
  • Rudolf Kaaks
  • Frank Kee
  • Nicola D. Kerrison
  • Timothy J. Key
  • Jukka Kontto
  • Zsofia Kote-Jarai
  • Aldi T. Kraja
  • Kari Kuulasmaa
  • Johanna Kuusisto
  • Allan Linneberg
  • Chunyu Liu
  • Gaëlle Marenne
  • Karen L. Mohlke
  • Andrew P. Morris
  • Kenneth Muir
  • Martina Müller-Nurasyid
  • Patricia B. Munroe
  • Carmen Navarro
  • Sune F. Nielsen
  • Peter M. Nilsson
  • Børge G. Nordestgaard
  • Chris J. Packard
  • Domenico Palli
  • Salvatore Panico
  • Gina M. Peloso
  • Markus Perola
  • Annette Peters
  • Christopher J. Poole
  • J. Ramón Quirós
  • Olov Rolandsson
  • Carlotta Sacerdote
  • Veikko Salomaa
  • María José Sánchez
  • Naveed Sattar
  • Stephen J. Sharp
  • Rebecca Sims
  • Nadia Slimani
  • Jennifer A. Smith
  • Deborah J. Thompson
  • Stella Trompet
  • Rosario Tumino
  • Daphne L. Van Der A
  • Yvonne T. Van Der Schouw
  • Jarmo Virtamo
  • Mark Walker
  • Klaudia Walter
  • Jean E. Abraham
  • Laufey T. Amundadottir
  • Adam S. Butterworth
  • Jennifer L. Aponte
  • Josée Dupuis
  • Douglas F. Easton
  • Rosalind A. Eeles
  • Jeanette Erdmann
  • Paul W. Franks
  • Timothy M. Frayling
  • Torben Hansen
  • Joanna M M Howson
  • Torben Jørgensen
  • Jaspal Kooner
  • Markku Laakso
  • Mark I. McCarthy
  • James S. Pankow
  • Oluf Pedersen
  • Elio Riboli
  • Jerome I. Rotter
  • Danish Saleheen
  • Nilesh J. Samani
  • Heribert Schunkert
  • Peter Vollenweider
  • Stephen O'Rahilly
  • Panos Deloukas
  • John Danesh
  • Mark O. Goodarzi
  • Sekar Kathiresan
  • James B. Meigs
  • Margaret G. Ehm
  • Nicholas J. Wareham
  • Dawn M. Waterworth

Summary, in English

Regulatory authorities have indicated that new drugs to treat type 2 diabetes (T2D) should not be associated with an unacceptable increase in cardiovascular risk. Human genetics may be able to guide development of antidiabetic therapies by predicting cardiovascular and other health endpoints. We therefore investigated the association of variants in six genes that encode drug targets for obesity or T2D with a range of metabolic traits in up to 11, 806 individuals by targeted exome sequencing and follow-up in 39, 979 individuals by targeted genotyping, with additional in silico follow-up in consortia. We used these data to first compare associations of variants in genes encoding drug targets with the effects of pharmacological manipulation of those targets in clinical trials. We then tested the association of those variants with disease outcomes, including coronary heart disease, to predict cardiovascular safety of these agents. A low-frequency missense variant (Ala316Thr; rs10305492) in the gene encoding glucagon-like peptide-1 receptor (GLP1R), the target of GLP1R agonists, was associated with lower fasting glucose and T2D risk, consistent with GLP1R agonist therapies. The minor allele was also associated with protection against heart disease, thus providing evidence that GLP1R agonists are not likely to be associated with an unacceptable increase in cardiovascular risk. Our results provide an encouraging signal that these agents may be associated with benefit, a question currently being addressed in randomized controlled trials. Genetic variants associated with metabolic traits and multiple disease outcomes can be used to validate therapeutic targets at an early stage in the drug development process.

Department/s

  • Department of Clinical Sciences, Lund
  • Faculty of Medicine
  • EXODIAB: Excellence in Diabetes Research in Sweden
  • EpiHealth: Epidemiology for Health

Publishing year

2016-06-01

Language

English

Publication/Series

Science Translational Medicine

Volume

8

Issue

341

Document type

Journal article

Publisher

American Association for the Advancement of Science (AAAS)

Topic

  • Cardiac and Cardiovascular Systems

Status

Published

ISBN/ISSN/Other

  • ISSN: 1946-6234