Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Aug 1;330(5):432-441.
doi: 10.1001/jama.2023.11970.

Genetic Architecture of Dilated Cardiomyopathy in Individuals of African and European Ancestry

Affiliations

Genetic Architecture of Dilated Cardiomyopathy in Individuals of African and European Ancestry

Elizabeth Jordan et al. JAMA. .

Abstract

Importance: Black patients with dilated cardiomyopathy (DCM) have increased familial risk and worse outcomes than White patients, but most DCM genetic data are from White patients.

Objective: To compare the rare variant genetic architecture of DCM by genomic ancestry within a diverse population of patients with DCM.

Design: Cross-sectional study enrolling patients with DCM who self-identified as non-Hispanic Black, Hispanic, or non-Hispanic White from June 7, 2016, to March 15, 2020, at 25 US advanced heart failure programs. Variants in 36 DCM genes were adjudicated as pathogenic, likely pathogenic, or of uncertain significance.

Exposure: Presence of DCM.

Main outcomes and measures: Variants in DCM genes classified as pathogenic/likely pathogenic/uncertain significance and clinically actionable (pathogenic/likely pathogenic).

Results: A total of 505, 667, and 26 patients with DCM of predominantly African, European, or Native American genomic ancestry, respectively, were included. Compared with patients of European ancestry, a lower percentage of patients of African ancestry had clinically actionable variants (8.2% [95% CI, 5.2%-11.1%] vs 25.5% [95% CI, 21.3%-29.6%]), reflecting the lower odds of a clinically actionable variant for those with any pathogenic variant/likely pathogenic variant/variant of uncertain significance (odds ratio, 0.25 [95% CI, 0.17-0.37]). On average, patients of African ancestry had fewer clinically actionable variants in TTN (difference, -0.09 [95% CI, -0.14 to -0.05]) and other genes with predicted loss of function as a disease-causing mechanism (difference, -0.06 [95% CI, -0.11 to -0.02]). However, the number of pathogenic variants/likely pathogenic variants/variants of uncertain significance was more comparable between ancestry groups (difference, -0.07 [95% CI, -0.22 to 0.09]) due to a larger number of non-TTN non-predicted loss of function variants of uncertain significance, mostly missense, in patients of African ancestry (difference, 0.15 [95% CI, 0.00-0.30]). Published clinical case-based evidence supporting pathogenicity was less available for variants found only in patients of African ancestry (P < .001).

Conclusion and relevance: Patients of African ancestry with DCM were less likely to have clinically actionable variants in DCM genes than those of European ancestry due to differences in genetic architecture and a lack of representation of African ancestry in clinical data sets.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest Disclosures: Dr Kinnamon reported receipt of grants from the National Institutes of Health (NIH) outside the submitted work. Dr Morris reported receipt of receipt of personal fees from Acorai, Abbott, BI Lilly, Cytokinetics, Edwards Lifesciences, Novo Nordisk, and Regeneron and receipt of personal fees and grants from Ionis and Merck. Dr Stoller reported receipt of personal fees from BMS and CareDx and grants from Amgen. Dr Tang reported receipt of personal fees from Sequana Medical, Cardiol Therapeutics, Genomics, Zehna Therapeutics, Renovacor, Boston Scientific, Kiniksa Pharmaceuticals, WhiteSwell, CardiaTec Biosciences, the American Board of Internal Medicine, and Springer Nature. Dr Shah reported receipt of personal fees from Procyrion, Natera, and Merck; receipt of grants from Merck, Roche, and Abbott; and receipt of grants from the NIH outside the submitted work. Dr Wheeler reported consulting for Leal Therapeutics and provision of clinical trial support and in-kind services from BMS and clinical trial support from Pfizer. Dr Wilcox reported consultancy and/or advisory board membership for Cytokinetics, Abiomed, Abbott, and Boehringer Ingelheim. Dr Katz reported receipt of grants from Pfizer, Luitpold, AMAG Pharmaceuticals, Biocardia, and Anylam and personal fees from Salubris Biotherapeutics. Dr Pan reported receipt of personal fees from Pfizer. Dr Wang reported receipt of personal fees from BMS. Dr Judge reported receipt of personal fees from Alexion, Alleviant Medical, Cytokinetics, LEXEO, Novo Nordisk, and Pfizer. Dr Vatta reported receipt of salary/stocks from Invitae. Dr Burke reported receipt of grants from the NIH outside the submitted work. No other disclosures were reported.

Figures

Figure.
Figure.. Characteristics of Pathogenic Variants, Likely Pathogenic Variants, and Variants of Uncertain Significance Observed in DCM Probands of a Given Ancestry
Variants denoted as being from African (n = 345 variants), European (n = 521), or Native American (n = 22) ancestry were observed only in study probands from that ancestry group and not in probands from other ancestry groups. For all panels, the y-axis is the proportion of variants from a particular ancestry with a given characteristic; underlying data are shown in eTables 4 and 5 in Supplement 1. For panels A-C, bars are mutually exclusive categories; proportions in each bar sum to 1 within each ancestry. For panels D-E, each bar is the proportion of variants from an ancestry meeting at least 1 of the variant interpretation criteria that provide evidence of pathogenicity in a particular domain, as denoted by American College of Medical Genetics acronyms listed in parentheses in the key (see definitions in eTable 4 in Supplement 1). As these domains are independent, space between bars indicates that the bars do not sum to 1 within each ancestry. Variant-based criteria include those in the population frequency, null variant in gene/region, and in silico prediction domains that relate to potential deleteriousness of the variant in general. Case-based criteria include those in the segregation and case counts or reported association domains, which relate to the availability of external data showing that the variant is associated specifically with dilated cardiomyopathy (DCM). A lower proportion of variants found only in probands of African ancestry were in definitive and strong evidence DCM genes (panel A) based on ClinGen classification or had predicted loss-of-function (pLOF) consequences (panel B) relative to those found only in probands of European ancestry (post hoc P < .001 for both). As a result, a lower proportion of variants found only in probands of African ancestry were classified as pathogenic/likely pathogenic compared with those found only in probands of European ancestry (panel C; post hoc P < .001). A reduced ability to apply variant-based (panel D) or case-based (panel E) criteria in favor of pathogenicity to variants in probands of African ancestry contributed to this outcome. Compared with variants found only in European ancestry, smaller proportions of variants found in African ancestry were absent or rare in nonfounder gnomAD populations (post hoc P < .001) or had evidence for pathogenicity from case counts or reported associations (post hoc P < .001). Inferences for the predicted impact distribution in panel B were based on the predicted impact multinomial variable, which did not distinguish TTN and non-TTN pLOF variants to avoid confounding gene class with variant impact. For variant-based criteria in panel D, inferences were based on the population frequency domain, null variant in gene/region, and in silico prediction domain multinomial variables. Inferences for case-based criteria in panel E were based on the segregation domain and case counts or reported association domain multinomial variables.

Comment in

References

    1. Popejoy AB, Fullerton SM. Genomics is failing on diversity. Nature. 2016;538(7624):161-164. doi:10.1038/538161a - DOI - PMC - PubMed
    1. Peterson RE, Kuchenbaecker K, Walters RK, et al. . Genome-wide association studies in ancestrally diverse populations. Cell. 2019;179(3):589-603. doi:10.1016/j.cell.2019.08.051 - DOI - PMC - PubMed
    1. Morales J, Welter D, Bowler EH, et al. . A standardized framework for representation of ancestry data in genomics studies, with application to the NHGRI-EBI GWAS catalog. Genome Biol. 2018;19(1):21. doi:10.1186/s13059-018-1396-2 - DOI - PMC - PubMed
    1. Manrai AK, Funke BH, Rehm HL, et al. . Genetic misdiagnoses and the potential for health disparities. N Engl J Med. 2016;375(7):655-665. doi:10.1056/NEJMsa1507092 - DOI - PMC - PubMed
    1. Landry LG, Rehm HL. Association of racial/ethnic categories with the ability of genetic tests to detect a cause of cardiomyopathy. JAMA Cardiol. 2018;3(4):341-345. doi:10.1001/jamacardio.2017.5333 - DOI - PMC - PubMed

Publication types

MeSH terms

Substances

LinkOut - more resources