Literature DB >> 26915630

Incorporating a Genetic Risk Score Into Coronary Heart Disease Risk Estimates: Effect on Low-Density Lipoprotein Cholesterol Levels (the MI-GENES Clinical Trial).

Iftikhar J Kullo1, Hayan Jouni2, Erin E Austin2, Sherry-Ann Brown2, Teresa M Kruisselbrink2, Iyad N Isseh2, Raad A Haddad2, Tariq S Marroush2, Khader Shameer2, Janet E Olson2, Ulrich Broeckel2, Robert C Green2, Daniel J Schaid2, Victor M Montori2, Kent R Bailey2.   

Abstract

BACKGROUND: Whether knowledge of genetic risk for coronary heart disease (CHD) affects health-related outcomes is unknown. We investigated whether incorporating a genetic risk score (GRS) in CHD risk estimates lowers low-density lipoprotein cholesterol (LDL-C) levels. METHODS AND
RESULTS: Participants (n=203, 45-65 years of age, at intermediate risk for CHD, and not on statins) were randomly assigned to receive their 10-year probability of CHD based either on a conventional risk score (CRS) or CRS + GRS ((+)GRS). Participants in the (+)GRS group were stratified as having high or average/low GRS. Risk was disclosed by a genetic counselor followed by shared decision making regarding statin therapy with a physician. We compared the primary end point of LDL-C levels at 6 months and assessed whether any differences were attributable to changes in dietary fat intake, physical activity levels, or statin use. Participants (mean age, 59.4±5 years; 48% men; mean 10-year CHD risk, 8.5±4.1%) were allocated to receive either CRS (n=100) or (+)GRS (n=103). At the end of the study period, the (+)GRS group had a lower LDL-C than the CRS group (96.5±32.7 versus 105.9±33.3 mg/dL; P=0.04). Participants with high GRS had lower LDL-C levels (92.3±32.9 mg/dL) than CRS participants (P=0.02) but not participants with low GRS (100.9±32.2 mg/dL; P=0.18). Statins were initiated more often in the (+)GRS group than in the CRS group (39% versus 22%, P<0.01). No significant differences in dietary fat intake and physical activity levels were noted.
CONCLUSIONS: Disclosure of CHD risk estimates that incorporated genetic risk information led to lower LDL-C levels than disclosure of CHD risk based on conventional risk factors alone. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT01936675.
© 2016 American Heart Association, Inc.

Entities:  

Keywords:  coronary disease; genetic risk disclosure; genetic risk score; genomics; hydroxymethylglutaryl-CoA reductase inhibitors; polymorphism, single-nucleotide; prevention & control; randomized clinical trials

Mesh:

Substances:

Year:  2016        PMID: 26915630      PMCID: PMC4803581          DOI: 10.1161/CIRCULATIONAHA.115.020109

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  31 in total

1.  A genome-wide association study in Europeans and South Asians identifies five new loci for coronary artery disease.

Authors: 
Journal:  Nat Genet       Date:  2011-03-06       Impact factor: 38.330

2.  Genetic risk prediction and a 2-stage risk screening strategy for coronary heart disease.

Authors:  Emmi Tikkanen; Aki S Havulinna; Aarno Palotie; Veikko Salomaa; Samuli Ripatti
Journal:  Arterioscler Thromb Vasc Biol       Date:  2013-04-18       Impact factor: 8.311

3.  Primary prevention of acute coronary events with lovastatin in men and women with average cholesterol levels: results of AFCAPS/TexCAPS. Air Force/Texas Coronary Atherosclerosis Prevention Study.

Authors:  J R Downs; M Clearfield; S Weis; E Whitney; D R Shapiro; P A Beere; A Langendorfer; E A Stein; W Kruyer; A M Gotto
Journal:  JAMA       Date:  1998-05-27       Impact factor: 56.272

4.  Development and evaluation of a short instrument to estimate usual dietary intake of percentage energy from fat.

Authors:  Frances E Thompson; Douglas Midthune; Amy F Subar; Victor Kipnis; Lisa L Kahle; Arthur Schatzkin
Journal:  J Am Diet Assoc       Date:  2007-05

5.  Helping patients with type 2 diabetes mellitus make treatment decisions: statin choice randomized trial.

Authors:  Audrey J Weymiller; Victor M Montori; Lesley A Jones; Amiram Gafni; Gordon H Guyatt; Sandra C Bryant; Teresa J H Christianson; Rebecca J Mullan; Steven A Smith
Journal:  Arch Intern Med       Date:  2007-05-28

6.  Prevention of coronary heart disease with pravastatin in men with hypercholesterolemia. West of Scotland Coronary Prevention Study Group.

Authors:  J Shepherd; S M Cobbe; I Ford; C G Isles; A R Lorimer; P W MacFarlane; J H McKillop; C J Packard
Journal:  N Engl J Med       Date:  1995-11-16       Impact factor: 91.245

7.  C-reactive protein concentration and the vascular benefits of statin therapy: an analysis of 20,536 patients in the Heart Protection Study.

Authors: 
Journal:  Lancet       Date:  2011-01-27       Impact factor: 79.321

8.  Genotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical record.

Authors:  Keyue Ding; Kent R Bailey; Iftikhar J Kullo
Journal:  BMC Cardiovasc Disord       Date:  2011-11-03       Impact factor: 2.298

9.  Design of a randomized controlled trial of disclosing genomic risk of coronary heart disease: the Myocardial Infarction Genes (MI-GENES) study.

Authors:  Iftikhar J Kullo; Hayan Jouni; Janet E Olson; Victor M Montori; Kent R Bailey
Journal:  BMC Med Genomics       Date:  2015-08-15       Impact factor: 3.063

10.  A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease.

Authors:  Majid Nikpay; Anuj Goel; Hong-Hee Won; Leanne M Hall; Christina Willenborg; Stavroula Kanoni; Danish Saleheen; Theodosios Kyriakou; Christopher P Nelson; Jemma C Hopewell; Thomas R Webb; Lingyao Zeng; Abbas Dehghan; Maris Alver; Sebastian M Armasu; Kirsi Auro; Andrew Bjonnes; Daniel I Chasman; Shufeng Chen; Ian Ford; Nora Franceschini; Christian Gieger; Christopher Grace; Stefan Gustafsson; Jie Huang; Shih-Jen Hwang; Yun Kyoung Kim; Marcus E Kleber; King Wai Lau; Xiangfeng Lu; Yingchang Lu; Leo-Pekka Lyytikäinen; Evelin Mihailov; Alanna C Morrison; Natalia Pervjakova; Liming Qu; Lynda M Rose; Elias Salfati; Richa Saxena; Markus Scholz; Albert V Smith; Emmi Tikkanen; Andre Uitterlinden; Xueli Yang; Weihua Zhang; Wei Zhao; Mariza de Andrade; Paul S de Vries; Natalie R van Zuydam; Sonia S Anand; Lars Bertram; Frank Beutner; George Dedoussis; Philippe Frossard; Dominique Gauguier; Alison H Goodall; Omri Gottesman; Marc Haber; Bok-Ghee Han; Jianfeng Huang; Shapour Jalilzadeh; Thorsten Kessler; Inke R König; Lars Lannfelt; Wolfgang Lieb; Lars Lind; Cecilia M Lindgren; Marja-Liisa Lokki; Patrik K Magnusson; Nadeem H Mallick; Narinder Mehra; Thomas Meitinger; Fazal-Ur-Rehman Memon; Andrew P Morris; Markku S Nieminen; Nancy L Pedersen; Annette Peters; Loukianos S Rallidis; Asif Rasheed; Maria Samuel; Svati H Shah; Juha Sinisalo; Kathleen E Stirrups; Stella Trompet; Laiyuan Wang; Khan S Zaman; Diego Ardissino; Eric Boerwinkle; Ingrid B Borecki; Erwin P Bottinger; Julie E Buring; John C Chambers; Rory Collins; L Adrienne Cupples; John Danesh; Ilja Demuth; Roberto Elosua; Stephen E Epstein; Tõnu Esko; Mary F Feitosa; Oscar H Franco; Maria Grazia Franzosi; Christopher B Granger; Dongfeng Gu; Vilmundur Gudnason; Alistair S Hall; Anders Hamsten; Tamara B Harris; Stanley L Hazen; Christian Hengstenberg; Albert Hofman; Erik Ingelsson; Carlos Iribarren; J Wouter Jukema; Pekka J Karhunen; Bong-Jo Kim; Jaspal S Kooner; Iftikhar J Kullo; Terho Lehtimäki; Ruth J F Loos; Olle Melander; Andres Metspalu; Winfried März; Colin N Palmer; Markus Perola; Thomas Quertermous; Daniel J Rader; Paul M Ridker; Samuli Ripatti; Robert Roberts; Veikko Salomaa; Dharambir K Sanghera; Stephen M Schwartz; Udo Seedorf; Alexandre F Stewart; David J Stott; Joachim Thiery; Pierre A Zalloua; Christopher J O'Donnell; Muredach P Reilly; Themistocles L Assimes; John R Thompson; Jeanette Erdmann; Robert Clarke; Hugh Watkins; Sekar Kathiresan; Ruth McPherson; Panos Deloukas; Heribert Schunkert; Nilesh J Samani; Martin Farrall
Journal:  Nat Genet       Date:  2015-09-07       Impact factor: 38.330

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  81 in total

1.  Effect of Disclosing Genetic Risk for Coronary Heart Disease on Information Seeking and Sharing: The MI-GENES Study (Myocardial Infarction Genes).

Authors:  Sherry-Ann N Brown; Hayan Jouni; Tariq S Marroush; Iftikhar J Kullo
Journal:  Circ Cardiovasc Genet       Date:  2017-08

Review 2.  Polygenic Scores to Assess Atherosclerotic Cardiovascular Disease Risk: Clinical Perspectives and Basic Implications.

Authors:  Krishna G Aragam; Pradeep Natarajan
Journal:  Circ Res       Date:  2020-04-23       Impact factor: 17.367

3.  Reducing Cardiovascular Risk Using Genomic Information in the Era of Precision Medicine.

Authors:  Pradeep Natarajan; Christopher J O'Donnell
Journal:  Circulation       Date:  2016-02-25       Impact factor: 29.690

4.  Healthcare provider education to support integration of pharmacogenomics in practice: the eMERGE Network experience.

Authors:  Carolyn R Rohrer Vitek; Noura S Abul-Husn; John J Connolly; Andrea L Hartzler; Terrie Kitchner; Josh F Peterson; Luke V Rasmussen; Maureen E Smith; Sarah Stallings; Marc S Williams; Wendy A Wolf; Cynthia A Prows
Journal:  Pharmacogenomics       Date:  2017-06-22       Impact factor: 2.533

Review 5.  Genome-Wide Association Studies of Coronary Artery Disease: Recent Progress and Challenges Ahead.

Authors:  Shoa L Clarke; Themistocles L Assimes
Journal:  Curr Atheroscler Rep       Date:  2018-07-18       Impact factor: 5.113

Review 6.  Importance of Genetic Studies of Cardiometabolic Disease in Diverse Populations.

Authors:  Lindsay Fernández-Rhodes; Kristin L Young; Adam G Lilly; Laura M Raffield; Heather M Highland; Genevieve L Wojcik; Cary Agler; Shelly-Ann M Love; Samson Okello; Lauren E Petty; Mariaelisa Graff; Jennifer E Below; Kimon Divaris; Kari E North
Journal:  Circ Res       Date:  2020-06-04       Impact factor: 17.367

Review 7.  Clinical use of current polygenic risk scores may exacerbate health disparities.

Authors:  Alicia R Martin; Masahiro Kanai; Yoichiro Kamatani; Yukinori Okada; Benjamin M Neale; Mark J Daly
Journal:  Nat Genet       Date:  2019-03-29       Impact factor: 38.330

8.  Disclosing Genetic Risk for Coronary Heart Disease: Attitudes Toward Personal Information in Health Records.

Authors:  Sherry-Ann Brown; Hayan Jouni; Tariq S Marroush; Iftikhar J Kullo
Journal:  Am J Prev Med       Date:  2017-01-03       Impact factor: 5.043

Review 9.  Predicting Polygenic Risk of Psychiatric Disorders.

Authors:  Alicia R Martin; Mark J Daly; Elise B Robinson; Steven E Hyman; Benjamin M Neale
Journal:  Biol Psychiatry       Date:  2018-12-28       Impact factor: 13.382

Review 10.  Recent Advances in Human Genetics and Epigenetics of Adiposity: Pathway to Precision Medicine?

Authors:  Tove Fall; Michael Mendelson; Elizabeth K Speliotes
Journal:  Gastroenterology       Date:  2017-02-15       Impact factor: 22.682

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