Premature Coronary Artery Disease - Clinical and Molecular Genetic Aspects
PIHS
2 other identifiers
observational
400
1 country
1
Brief Summary
Since finishing the sequencing of the human genome in 2003, genetic research in coronary artery disease (CAD) and other complex traits have developed dramatically. Recent genome-wide association studies have identified a considerable number of common genetic variants each associated with the disease. This has led to a new understanding but also to the discovery of new therapeutical targets. However, each of the variants discovered only have minor effects on disease development and even the pooling of the variants only explains a minor percentage of the total heritability. It has been evident that rare or private mutations probably play a great role in the genetic architecture of CAD, especially among young and severely affected patients. These may only be identified by sequencing. Therefore, the investigators hypothesize, that the use of exome sequencing (the read-off of the entire protein-coding regions of the genome) and linkage analysis in families of extreme phenotype cases, will identify disease-causing genetic variants. From the West Denmark Heart Registry the investigators will enroll a minimum of 120 patients with atherosclerosis who have undergone a coronary artery revascularization procedure before the age of 40, to participate in study part 1. A pedigree analysis will be performed and cardiovascular (CVD) risk factors and current preventive treatment will be evaluated. 1. degree relatives aged 30-65 years, who are free of CAD, are invited to participate in study 2. CVD risk factors are evaluated as well as a CT coronary angiogram is performed to quantify the degree of asymptomatic coronary atherosclerosis. Families from study 1 and 2, who are considered severely affected by atherosclerosis, evaluated on a basis of family size, number of affected and severity of disease, will be selected for exome sequencing. Other relevant family members will be included as well as their CVD risk factors will be evaluated. Exome sequencing will be performed and variants found will be filtered on a basis of frequency, linkage analysis, gene position, existing knowledge and in-silico prediction tools. Possible findings will be validated by Sanger-sequencing and causality of new variants will subsequently be sought to be proven by relevant experimental studies.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Feb 2014
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 1, 2014
CompletedFirst Submitted
Initial submission to the registry
May 2, 2014
CompletedFirst Posted
Study publicly available on registry
May 26, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 1, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
February 1, 2016
CompletedMay 26, 2014
May 1, 2014
2 years
May 2, 2014
May 23, 2014
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Number of patients with very premature coronary artery disease treated according to national guidelines
Evaluated on the basis of medical history, current medication, BP-TRU-measurement and measurement of blood lipids, and other lab tests.
At least 6 months after last coronary intervention procedure
Secondary Outcomes (1)
Coronary artery lesions burden among middle-aged 1st degree relatives of patients with very premature coronary artery disease
At least 6 months after last coronary intervention procedure
Study Arms (3)
Very Premature CAD
Patients who have received a coronary intervention procedure on the basis of atherosclerosis before the age of 40
Healthy middle-aged 1st degree relatives
Healthy 1st degree relatives aged 30-65 years of patients with very premature CAD.
PCAD families
Families severely affected by premature CAD
Eligibility Criteria
Patients who has received a coronary intervention procedure at Aarhus University Hospital, Skejby (all interventions are registered in the West Denmark Heart Registry)
You may qualify if:
- Coronary intervention at Aarhus University Hospital, Skejby in the period 2006-2013
- Age \< 40 years at the time of intervention in the above mentioned period
- Intervention on the basis of atherosclerosis
- Residency in Denmark
- \> 6 months since last coronary procedure
You may not qualify if:
- Interventions on transplanted hearts
- Abuse of cocaine/amphetamine in close relation to the intervention
- st degree relatives of patients participating in study part 1.
- Age 30-65 years
- No prior diagnosis of coronary atherosclerosis on the basis of a coronary angiogram
- Obesity (BMI\>30)
- Chronic kidney disease stage 4+5
- Chronic atrial fibrillation
- Former allergic contrast reaction
- Pregnancy
- Families who are considered severely affected by atherosclerosis, evaluated on a basis of family size, number of affected and severity of disease (yet to be defined - depending on the actual cohort (pedigree analysis))
- None
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Aarhus University Hospital, Skejby
Aarhus, 8200, Denmark
Related Publications (16)
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PMID: 1485951BACKGROUNDChow CK, Pell AC, Walker A, O'Dowd C, Dominiczak AF, Pell JP. Families of patients with premature coronary heart disease: an obvious but neglected target for primary prevention. BMJ. 2007 Sep 8;335(7618):481-5. doi: 10.1136/bmj.39253.577859.BE.
PMID: 17823190BACKGROUNDMarenberg ME, Risch N, Berkman LF, Floderus B, de Faire U. Genetic susceptibility to death from coronary heart disease in a study of twins. N Engl J Med. 1994 Apr 14;330(15):1041-6. doi: 10.1056/NEJM199404143301503.
PMID: 8127331BACKGROUNDPerk J, De Backer G, Gohlke H, Graham I, Reiner Z, Verschuren M, Albus C, Benlian P, Boysen G, Cifkova R, Deaton C, Ebrahim S, Fisher M, Germano G, Hobbs R, Hoes A, Karadeniz S, Mezzani A, Prescott E, Ryden L, Scherer M, Syvanne M, Scholte op Reimer WJ, Vrints C, Wood D, Zamorano JL, Zannad F; European Association for Cardiovascular Prevention & Rehabilitation (EACPR); ESC Committee for Practice Guidelines (CPG). European Guidelines on cardiovascular disease prevention in clinical practice (version 2012). The Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of nine societies and by invited experts). Eur Heart J. 2012 Jul;33(13):1635-701. doi: 10.1093/eurheartj/ehs092. Epub 2012 May 3. No abstract available.
PMID: 22555213BACKGROUNDMortensen MB, Sivesgaard K, Jensen HK, Comuth W, Kanstrup H, Gotzsche O, May O, Bertelsen J, Falk E. Traditional SCORE-based health check fails to identify individuals who develop acute myocardial infarction. Dan Med J. 2013 May;60(5):A4629.
PMID: 23673263BACKGROUNDKessler T, Erdmann J, Schunkert H. Genetics of coronary artery disease and myocardial infarction--2013. Curr Cardiol Rep. 2013 Jun;15(6):368. doi: 10.1007/s11886-013-0368-0.
PMID: 23616109BACKGROUNDHughes MF, Saarela O, Stritzke J, Kee F, Silander K, Klopp N, Kontto J, Karvanen J, Willenborg C, Salomaa V, Virtamo J, Amouyel P, Arveiler D, Ferrieres J, Wiklund PG, Baumert J, Thorand B, Diemert P, Tregouet DA, Hengstenberg C, Peters A, Evans A, Koenig W, Erdmann J, Samani NJ, Kuulasmaa K, Schunkert H. Genetic markers enhance coronary risk prediction in men: the MORGAM prospective cohorts. PLoS One. 2012;7(7):e40922. doi: 10.1371/journal.pone.0040922. Epub 2012 Jul 25.
PMID: 22848412BACKGROUNDFrazer KA, Murray SS, Schork NJ, Topol EJ. Human genetic variation and its contribution to complex traits. Nat Rev Genet. 2009 Apr;10(4):241-51. doi: 10.1038/nrg2554.
PMID: 19293820BACKGROUNDCirulli ET, Goldstein DB. Uncovering the roles of rare variants in common disease through whole-genome sequencing. Nat Rev Genet. 2010 Jun;11(6):415-25. doi: 10.1038/nrg2779.
PMID: 20479773BACKGROUNDSanger F, Nicklen S, Coulson AR. DNA sequencing with chain-terminating inhibitors. Proc Natl Acad Sci U S A. 1977 Dec;74(12):5463-7. doi: 10.1073/pnas.74.12.5463.
PMID: 271968BACKGROUNDChoi M, Scholl UI, Ji W, Liu T, Tikhonova IR, Zumbo P, Nayir A, Bakkaloglu A, Ozen S, Sanjad S, Nelson-Williams C, Farhi A, Mane S, Lifton RP. Genetic diagnosis by whole exome capture and massively parallel DNA sequencing. Proc Natl Acad Sci U S A. 2009 Nov 10;106(45):19096-101. doi: 10.1073/pnas.0910672106. Epub 2009 Oct 27.
PMID: 19861545BACKGROUNDErdmann J, Stark K, Esslinger UB, Rumpf PM, Koesling D, de Wit C, Kaiser FJ, Braunholz D, Medack A, Fischer M, Zimmermann ME, Tennstedt S, Graf E, Eck S, Aherrahrou Z, Nahrstaedt J, Willenborg C, Bruse P, Braenne I, Nothen MM, Hofmann P, Braund PS, Mergia E, Reinhard W, Burgdorf C, Schreiber S, Balmforth AJ, Hall AS, Bertram L, Steinhagen-Thiessen E, Li SC, Marz W, Reilly M, Kathiresan S, McPherson R, Walter U; CARDIoGRAM; Ott J, Samani NJ, Strom TM, Meitinger T, Hengstenberg C, Schunkert H. Dysfunctional nitric oxide signalling increases risk of myocardial infarction. Nature. 2013 Dec 19;504(7480):432-6. doi: 10.1038/nature12722. Epub 2013 Nov 10.
PMID: 24213632BACKGROUNDBamshad MJ, Ng SB, Bigham AW, Tabor HK, Emond MJ, Nickerson DA, Shendure J. Exome sequencing as a tool for Mendelian disease gene discovery. Nat Rev Genet. 2011 Sep 27;12(11):745-55. doi: 10.1038/nrg3031.
PMID: 21946919BACKGROUNDAgatston AS, Janowitz WR, Hildner FJ, Zusmer NR, Viamonte M Jr, Detrano R. Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol. 1990 Mar 15;15(4):827-32. doi: 10.1016/0735-1097(90)90282-t.
PMID: 2407762BACKGROUNDOtt J. Analysis of Human Genetic Linkage. Third Ed. Baltimore: The John Hopkins University Press; 1999
BACKGROUNDSmith KR, Bromhead CJ, Hildebrand MS, Shearer AE, Lockhart PJ, Najmabadi H, Leventer RJ, McGillivray G, Amor DJ, Smith RJ, Bahlo M. Reducing the exome search space for mendelian diseases using genetic linkage analysis of exome genotypes. Genome Biol. 2011 Sep 14;12(9):R85. doi: 10.1186/gb-2011-12-9-r85.
PMID: 21917141BACKGROUND
Related Links
Biospecimen
2 samples of EDTA blood (4ml glass) and 1 sample of serum (4ml glass) will be retained in a biobank.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Morten K Christiansen, MD
Aarhus University Hospital Skejby
Study Design
- Study Type
- observational
- Observational Model
- FAMILY BASED
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- MD, PhD-student
Study Record Dates
First Submitted
May 2, 2014
First Posted
May 26, 2014
Study Start
February 1, 2014
Primary Completion
February 1, 2016
Study Completion
February 1, 2016
Last Updated
May 26, 2014
Record last verified: 2014-05