期刊论文详细信息
BMC Cardiovascular Disorders
Clinical predictors of a positive genetic test in hypertrophic cardiomyopathy in the Brazilian population
Alexandre Costa Pereira5  Edmundo Arteaga-Fernandez3  José Eduardo Krieger5  Charles Mady3  João Marcos Bemfica Barbosa-Ferreira1  Rodrigo Pinto Pedrosa2  Aloir Queiroz de Araujo4  Murillo de Oliveira Antunes3  Rafael Ferreira Reis5  Théo Gremen Mimary de Oliveira5  Flávia Laghi Credidio5  Julia Daher Carneiro Marsiglia5 
[1] Federal University of Amazonas, Manaus, Brazil;Chagas Disease and Heart Failure Outpatient Service, PROCAPE-University of Pernambuco/UPE, Recife, Brazil;Clinical Unit of Cardiomyopathies, Heart Institute (InCor), University of São Paulo, São Paulo, Brazil;Federal University of Espírito Santo, Vitória, Brazil;Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo, São Paulo, Brazil
关键词: Screening;    Molecular;    TNNT2;    MYBPC3;    MYH7;    Genetics;   
Others  :  855268
DOI  :  10.1186/1471-2261-14-36
 received in 2013-11-29, accepted in 2014-03-10,  发布年份 2014
PDF
【 摘 要 】

Background

Hypertrophic cardiomyopathy is a genetic autosomal dominant disease characterized by left ventricular hypertrophy. The molecular diagnosis is important but still expensive. This work aimed to find clinical predictors of a positive genetic test in a Brazilian tertiary centre cohort of index cases with HCM.

Methods

In the study were included patients with HCM clinical diagnosis. For genotype x phenotype comparison we have evaluated echocardiographic, electrocardiographic, and nuclear magnetic resonance measures. All patients answered a questionnaire about familial history of HCM and/or sudden death. β-myosin heavy chain, myosin binding protein C, and troponin T genes were sequenced for genetic diagnosis.

Results

The variables related to a higher probability of a positive genetic test were familial history of HCM, higher mean heart frequency, presence of NSVT and lower age. Probabilities of having a positive molecular genetic test were calculated from the final multivariate logistic regression model and were used to identify those with a higher probability of a positive molecular diagnosis.

Conclusions

We developed an easy and fast screening method that takes into account only clinical data that can help to select the patients with a high probability of positive genetic results from molecular sequencing of Brazilian HCM patients.

【 授权许可】

   
2014 Marsiglia et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20140722032142713.pdf 328KB PDF download
42KB Image download
29KB Image download
【 图 表 】

【 参考文献 】
  • [1]Maron BJ: Hypertrophic cardiomyopathy. Lancet 1997, 350(9071):127-133.
  • [2]Richard P, Villard E, Charron P, Isnard R: The Genetic Bases of Cardiomyopathies. J Am Coll Cardiol 2006, 48(9_Suppl_A):A79-A89.
  • [3]Maron BJ, Gardin JM, Flack JM, Gidding SS, Kurosaki TT, Bild DE: Prevalence of hypertrophic cardiomyopathy in a general population of young adults. Echocardiographic analysis of 4111 subjects in the CARDIA Study. Coronary Artery Risk Development in (Young) Adults. Circulation 1995, 92(4):785-789.
  • [4]Bos JM, Towbin JA, Ackerman MJ: Diagnostic, prognostic, and therapeutic implications of genetic testing for hypertrophic cardiomyopathy. J Am Coll Cardiol 2009, 54(3):201-211.
  • [5]Ingles J, Sarina T, Yeates L, Hunt L, Macciocca I, McCormack L, Winship I, McGaughran J, Atherton J, Semsarian C: Clinical predictors of genetic testing outcomes in hypertrophic cardiomyopathy. Genet Med 2013, 15(12):972-977.
  • [6]Gruner C, Ivanov J, Care M, Williams L, Moravsky G, Yang H, Laczay B, Siminovitch K, Woo A, Rakowski H: Toronto hypertrophic cardiomyopathy genotype score for prediction of a positive genotype in hypertrophic cardiomyopathy. Circ Cardiovasc Genet 2012, 6(1):19-26.
  • [7]Henry WL, DeMaria A, Gramiak R, King DL, Kisslo JA, Popp RL, Sahn DJ, Schiller NB, Tajik A, Teichholz LE, Weyman AE: Report of the American Society of Echocardiography Committee on Nomenclature and Standards in Two-dimensional Echocardiography. Circulation 1980, 62(2):212-217.
  • [8]The National Center for Biotechnology Available from. http://www.ncbi.nlm.nih.gov/ webcite
  • [9]Kumar P, Henikoff S, Ng PC: Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nat Protoc 2009, 4(7):1073-1081.
  • [10]Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, Kondrashov AS, Sunyaev SR: A method and server for predicting damaging missense mutations. Nat Methods 2010, 7(4):248-249.
  • [11]Schwarz JM, Rodelsperger C, Schuelke M, Seelow D: MutationTaster evaluates disease-causing potential of sequence alterations. Nat Methods 2010, 7(8):575-576.
  • [12]Marsiglia JD, Credidio FL, de Oliveira TG, Reis RF, Antunes Mde O, de Araujo AQ, Pedrosa RP, Barbosa-Ferreira JM, Mady C, Krieger JE, Arteaga-Fernandez E, Pereira AC: Screening of MYH7, MYBPC3, and TNNT2 genes in Brazilian patients with hypertrophic cardiomyopathy. Am Heart J 2012, 166(4):775-782.
  • [13]Binder J, Ommen SR, Gersh BJ, Van Driest SL, Tajik AJ, Nishimura RA, Ackerman MJ: Echocardiography-guided genetic testing in hypertrophic cardiomyopathy: septal morphological features predict the presence of myofilament mutations. Mayo Clin Proc 2006, 81(4):459-467.
  • [14]Olivotto I, Girolami F, Ackerman MJ, Nistri S, Bos JM, Zachara E, Ommen SR, Theis JL, Vaubel RA, Re F, Armentano C, Poggesi C, Torricelli F, Cecchi F: Myofilament protein gene mutation screening and outcome of patients with hypertrophic cardiomyopathy. Mayo Clin Proc 2008, 83(6):630-638.
  文献评价指标  
  下载次数:46次 浏览次数:28次