ReviewCirculation research2020
Importance of Genetic Studies of Cardiometabolic Disease in Diverse Populations.
Review in Circulation research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Mediterranean diet as a strategy for preserving kidney function in patients with coronary heart disease with type 2 diabetes and obesity: a secondary analysis of CORDIOPREV randomized controlled trial.Nutrition & diabetes · 2024Trial
- Genetic European Ancestry and Incident Diabetes in Black Individuals: Insights From the SPRINT Trial.Circulation. Genomic and precision medicine · 2022Trial
- Asia at the Epicenter of the Global Cardiometabolic Shift.JACC. Asia · 2026Review
- Genetic and Genomic Testing in Cardiovascular Disease: A Policy Statement From the American Heart Association.Circulation · 2025Review
- Multiomics reveal key inflammatory drivers of severe obesity: IL4R, LILRA5, and OSM.Cell genomics · 2025Article
- Precision medicine in colorectal cancer: genomics profiling and targeted treatment.Frontiers in pharmacology · 2025Review
- Advancing the communication of genetic risk for cardiometabolic diseases: a critical interpretive synthesis.BMC medicine · 2023Article
- Maternal androgen excess increases the risk of metabolic syndrome in female offspring in their later life: A long-term population-based follow-up study.Archives of gynecology and obstetrics · 2023Article
- Ethical, legal, and social implications of genetic risk prediction for multifactorial disease: a narrative review identifying concerns about interpretation and use of polygenic scores.Journal of community genetics · 2023Article
- Beyond borders: A commentary on the benefit of promoting immigrant populations in genome-wide association studies.HGG advances · 2023Review
- At the intersection of trust and mistrust: A qualitative analysis of motivators and barriers to research participation at a safety-net hospital.Health expectations : an international journal of public participation in health care and health policy · 2023Article
- Interactions Between Genetic Risk and Diet Influencing Risk of Incident Female Gout: Discovery and Replication Analysis of Four Prospective Cohorts.Arthritis & rheumatology (Hoboken, N.J.) · 2023Article
- Cardiometabolic multimorbidity and incident dementia: the Swedish twin registry.European heart journal · 2023Article
- Article
- Identification of 969 protein quantitative trait loci in an African American population with kidney disease attributed to hypertension.Kidney international · 2022Article
- Maternal hyperandrogenism is associated with a higher risk of type 2 diabetes mellitus and overweight in adolescent and adult female offspring: a long-term population-based follow-up study.Journal of endocrinological investigation · 2022Article
- American Heart Association's Life's Simple 7: Lifestyle Recommendations, Polygenic Risk, and Lifetime Risk of Coronary Heart Disease.Circulation · 2022Article
- Recommendations for Statistical Reporting in Cardiovascular Medicine: A Special Report From the American Heart Association.Circulation · 2021Review
- Ensuring that biomedical AI benefits diverse populations.EBioMedicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
Genome-wide association studies have revolutionized our understanding of the genetic underpinnings of cardiometabolic disease. Yet, the inadequate representation of individuals of diverse ancestral backgrounds in these studies may undercut their ultimate potential for both public health and precision medicine. The goal of this review is to describe the imperativeness of studying the populations who are most affected by cardiometabolic disease, to the aim of better understanding the genetic underpinnings of the disease. We support this premise by describing the current variation in the global burden of cardiometabolic disease and emphasize the importance of building a globally and ancestrally representative genetics evidence base for the identification of population-specific variants, fine-mapping, and polygenic risk score estimation. We discuss the important ethical, legal, and social implications of increasing ancestral diversity in genetic studies of cardiometabolic disease and the challenges that arise from the (1) lack of diversity in current reference populations and available analytic samples and the (2) unequal generation of health-associated genomic data and their prediction accuracies. Despite these challenges, we conclude that additional, unprecedented opportunities lie ahead for public health genomics and the realization of precision medicine, provided that the gap in diversity can be systematically addressed. Achieving this goal will require concerted efforts by social, academic, professional and regulatory stakeholders and communities, and these efforts must be based on principles of equity and social justice.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.