ReviewFrontiers in genetics2016
Population Genomics and the Statistical Values of Race: An Interdisciplinary Perspective on the Biological Classification of Human Populations and Implications for Clinical Genetic Epidemiological Research.
Review in Frontiers in genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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
25 citing papers in PubMed.
- Functional Role of Single-Nucleotide Polymorphisms on IFNG and IFNGR1 in Humans with Cardiovascular Disease.International journal of molecular sciences · 2025Article
- Role and Use of Race in Artificial Intelligence and Machine Learning Models Related to Health.Journal of medical Internet research · 2025Article
- Using RAD-seq to identify and differentiate the medicinal herb Scrophularia ningpoensis and its adulterants.BMC genomics · 2025Article
- Identifying Frequently Endorsed Benefits and Barriers to Breast Cancer Screening for African-Born Women in the NYC Metropolitan Area: a Pilot Study.Journal of racial and ethnic health disparities · 2025Article
- Differences in Ancestry and Presence of Gastric Precursor Lesions in Individuals With Young- and Average-Onset Gastric Cancer.Cancer medicine · 2024Article
- Development and Application of Genetic Ancestry Reconstruction Methods to Study Diversity of Patient-Derived Models in the NCI PDXNet Consortium.Cancer research communications · 2024Article
- WWAD: the most comprehensive small molecule World Wide Approved Drug database of therapeutics.Frontiers in pharmacology · 2024Article
- Implications of a Race Term in GFR Estimates Used to Predict AKI After Coronary Intervention.JACC. Cardiovascular interventions · 2023Article
- Interstitial Lung Disease and Sarcoidosis.Clinics in chest medicine · 2023Review
- Race does matter: venous thromboembolism in trauma patients with isolated severe pelvic fractures.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2023Article
- Science, Society, and Dismantling Racism.Health equity · 2023Article
- A global view of hypertensive disorders and diabetes mellitus during pregnancy.Nature reviews. Endocrinology · 2022Review
- Review
- From Evolutionary History to the Concepts of Race and Ancestry: Shifting Our Perspective in Clinical Research.Biological psychiatry · 2022Article
- Confronting Racism in All Forms of Pain Research: A Shared Commitment for Engagement, Diversity, and Dissemination.The journal of pain · 2022Article
- Association between race and maladaptive concentric left ventricular hypertrophy in American-style football athletes.British journal of sports medicine · 2022Article
- Removing Race from Kidney Disease Diagnosis.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2022Article
- The Need for Shared Nomenclature on Racism and Related Terminology in Psychology.Perspectives on psychological science : a journal of the Association for Psychological Science · 2021Article
- Racism and mental health and the role of mental health professionals.European psychiatry : the journal of the Association of European Psychiatrists · 2021Article
- The Case for Health Reparations.Frontiers in public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The biological status and biomedical significance of the concept of race as applied to humans continue to be contentious issues despite the use of advanced statistical and clustering methods to determine continental ancestry. It is thus imperative for researchers to understand the limitations as well as potential uses of the concept of race in biology and biomedicine. This paper deals with the theoretical assumptions behind cluster analysis in human population genomics. Adopting an interdisciplinary approach, it demonstrates that the hypothesis that attributes the clustering of human populations to "frictional" effects of landform barriers at continental boundaries is empirically incoherent. It then contrasts the scientific status of the "cluster" and "cline" constructs in human population genomics, and shows how cluster may be instrumentally produced. It also shows how statistical values of race vindicate Darwin's argument that race is evolutionarily meaningless. Finally, the paper explains why, due to spatiotemporal parameters, evolutionary forces, and socio-cultural factors influencing population structure, continental ancestry may be pragmatically relevant to global and public health genomics. Overall, this work demonstrates that, from a biological systematic and evolutionary taxonomical perspective, human races/continental groups or clusters have no natural meaning or objective biological reality. In fact, the utility of racial categorizations in research and in clinics can be explained by spatiotemporal parameters, socio-cultural factors, and evolutionary forces affecting disease causation and treatment response.
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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 OpenQuestion graph.