Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Illuminating cancer health disparities using ethnogenetic layering (EL) and phenotype segregation network analysis (PSNA).

Journal of cancer education : the official journal of the American Association for Cancer Education - 1 Jan 2006

Jackson Fatimah L C

Abstract excerpt

BACKGROUND: Resolving cancer health disparities continues to befuddle simplistic racial models. The racial groups alluded to in biomedicine, public health, and epidemiology are often profoundly substructured. METHODS: EL and PSNA are computational assisted techniques that focus on microethnic group (MEG) substructure. RESULTS: Geographical variations in cancer may be due to differences in MEG ancestry or similar...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Ethnicity
Share to Genetic Predisposition to Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Indians, North American

Share to Neoplasms

Share to Phenotype

Share to Prejudice

Share to Racial Groups

Share to Southeastern United States

Source

Identifiers

PMID: 17020506
DOI: 10.1207/s15430154jce2101s_13

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Illuminating cancer health disparities using ethnogenetic layering (EL) and phenotype segregation network analysis (PSNA).PMID 17020506Read ↗

Ethnogenetic layering (EL): an alternative to the traditional race model in human variation and health disparity studies.Semantic proximity Read ↗

The Multiethnic Cohort: A Resource for the study of Genetic and non-Genetic Cancer Risk Across PopulationsSemantic proximity Read ↗

Systematic comparison of phenome-wide admixture mapping and genome-wide association in a diverse biobankSemantic proximity Read ↗

The Multiethnic Cohort: A Resource for the Study of Genetic and Nongenetic Cancer Risk across Populations.Semantic proximity Read ↗

Genetic confounding in health disparities researchSemantic proximity Read ↗

Human genetic variation and health: new assessment approaches based on ethnogenetic layering.Semantic proximity Read ↗

Ancestral links of Chesapeake Bay region African Americans to specific Bight of Bonny (West Africa) microethnic groups and increased frequency of aggressive breast cancer in both regions.Semantic proximity Read ↗

The Astounding Breadth of Health Disparity: Phenome-Wide Effects of Race on Disease Risk.Semantic proximity Read ↗

Family Study Designs Informed by Tumor Heterogeneity and Multi-Cancer Pleiotropies: The Power of the Utah Population Database.Semantic proximity Read ↗

Landscape of racial and ethnic health disparities in the All of Us Research ProgramSemantic proximity Read ↗

Genetic ancestry, self-reported race and ethnicity in African Americans and European Americans in the PCaP cohort.Semantic proximity Read ↗

Combating Racial Health Disparities Through Medical Education: The Need for Anthropological and Genetic Perspectives in Medical Training.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.