Rationale, Design, and the Baseline Characteristics of the RHDGen (The Genetics of Rheumatic Heart Disease) Network Study†. (22nd December 2022)

• Record Type: Journal Article
• Authors: Machipisa, Tafadzwa; Chishala, Chishala; Shaboodien, Gasnat; Zühlke, Liesl J.; Muhamed, Babu; Pandie, Shahiemah; de Vries, Jantina; Laing, Nakita; Joachim, Alexia; Daniels, Rezeen; Ntsekhe, Mpiko; Hugo-Hamman, Christopher T.; Gitura, Bernard; Ogendo, Stephen; Lwabi, Peter; Okello, Emmy; Damasceno, Albertino; Novela, Celia; Mocumbi, Ana O.; Madeira, Geoffrey; Musuku, John; Mtaja, Agnes; ElSayed, Ahmed; Alhassan, Huda H.M.; Bode-Thomas, Fidelia; Yilgwan, Christopher; Amusa, Ganiyu; Nkereuwem, Esin; Mulder, Nicola; Ramesar, Raj; Lesosky, Maia; Cordell, Heather J.; Chong, Michael; Keavney, Bernard; Paré, Guillaume; Engel, Mark E.;
• Is Part Of: Circulation. Volume 16:Number 1(2023)
• Page Start: e003641
• Publication Date: 2022-12-22
• Subjects: cardiovascular diseases -- genetics -- infections -- rheumatic heart disease; Cardiovascular system -- Diseases -- Periodicals; Cardiovascular system -- Genetics -- Periodicals; Cardiovascular Diseases -- genetics; Precision Medicine; Periodical; Fulltext; Internet Resources; Periodicals; Electronic journals; Periodicals; 616.1042
• DOI: 10.1161/CIRCGEN.121.003641
• Languages: English
• ISSNs: 2574-8300

Abstract

Abstract : Background: The genetics of rheumatic heart disease (RHDGen) Network was developed to assist the discovery and validation of genetic variations and biomarkers of risk for rheumatic heart disease (RHD) in continental Africans, as a part of the global fight to control and eradicate rheumatic fever/RHD. Thus, we describe the rationale and design of the RHDGen study, comprising participants from 8 African countries. Methods: RHDGen screened potential participants using echocardiography, thereafter enrolling RHD cases and ethnically-matched controls for whom case characteristics were documented. Biological samples were collected for conducting genetic analyses, including a discovery case-control genome-wide association study (GWAS) and a replication trio family study. Additional biological samples were also collected, and processed, for the measurement of biomarker analytes and the biomarker analyses are underway. Results: Participants were enrolled into RHDGen between December 2012 and March 2018. For GWAS, 2548 RHD cases and 2261 controls (3301 women [69%]; mean age [SD], 37 [16.3] years) were available. RHD cases were predominantly Black (66%), Admixed (24%), and other ethnicities (10%). Among RHD cases, 34% were asymptomatic, 26% had prior valve surgery, and 23% had atrial fibrillation. The trio family replication arm included 116 RHD trio probands and 232 parents. Conclusions: RHDGen presents a rare opportunity to identify relevant patterns of genetic factors and biomarkers in Africans that may be associated with differential RHD risk. Furthermore, the RHDGen Network provides a platform for further work on fully elucidating the causes and mechanisms associated with RHD susceptibility and development.