Illuminating cancer health disparities using ethnogenetic layering (EL) and phenotype segregation network analysis (PSNA).
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 environmental exposures to a recognized carcinogen. Examples include breast and prostate cancers in the Chesapeake Bay region and Bight of Biafra biological ancestry, hypertension and stroke in the Carolina Coast region and Central African biological ancestry, and pancreatic cancer in the Mississippi Delta region and dietary/medicinal exposure to safrol from Sassafras albidum.
Jackson
Fatimah L C
FL
Department of Anthropology, Genomic Models Research Group, Biological Anthropology Research Laboratory, MD 20742, USA. fatimah@umd.edu
D018864:Cultural Diversity; D005006:Ethnicity / Q000706:statistics & numerical data*; D020022:Genetic Predisposition to Disease; D006801:Humans; D007198:Indians, North American / Q000706:statistics & numerical data; D008873:Mid-Atlantic Region / Q000453:epidemiology; D008922:Mississippi / Q000453:epidemiology; D009369:Neoplasms / Q000453:epidemiology / Q000208:ethnology* / Q000235:genetics*; D010641:Phenotype; D011287:Prejudice; D044469:Racial Groups / Q000706:statistics & numerical data; D015144:Southeastern United States / Q000453:epidemiology