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A series of articles on
Race and ethnicity
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Social
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Race and health refers to the relationship between health conditions and racial populations. Although this relationship can vary depending on the definitions used, race is generally used in the context of health research as a fluid concept to group populations of people according to various factors that include but are not limited to ancestry, social identity, visible phenotype, and genetic makeup.[1] Determinants of health include environmental, social, and genetic factors.[2]

Defining Race[3]Edit

There are various paradigms used to discuss race, including biological and social views. Definitions have changed throughout history to yield a modern understanding of race that is complex and fluid. Moreover, there is no one definition that stands, as there are many competing and interlocking ways to look at race.[4] The terms race, genetic population, ethnicity, geographic population, and ancestry are used interchangeably in everyday discourse involving race.

Biological definitions of race encompass Essentialist and Anti-Essentialist views. The scientific community does not universally accept a single definition of race. Essentialism is a mode of thought that uses scientific data to argue that racial groups are genetically distinct populations. Essentialists describe “races as groups of people who share certain innate, inherited biological traits, aka use of biological evidence to demonstrate racial differences.”[5] As its counterpart, Anti-essentialism uses biological evidence to demonstrate that “race groupings do not reflect patterns of human biological variation, countering essentialist claims to the contrary.”[6]

Social definitions are commonly constructionist. Racial groups are “constructed” from differing historical, political, and economic contexts, rather than corresponding to inherited, biological variations. Proponents of the constructionist view claim that biological definitions have been used to justify racism in the past and still have the potential to be used to encourage racist thinking in the future.[7]

Social views also better explain the ambiguity of racial definitions. An individual may self-identify as one race based on one set of determinants (e.g., phenotype, culture, ancestry) while society may ascribe the person otherwise based on external forces and discrete racial standards. Dominant racial conceptions influence how individuals label both themselves and others within society.[8] Modern human populations are becoming more difficult to define within traditional racial boundaries due to racial admixture. Most scientific studies, applications, and government documents ask individuals to self-identify race from a limited assortment of common racial categories.[9] The conflict between self-identification and societal ascription further complicates biomedical research and public health policies. However complex its sociological roots, race has very real biological ramifications; the intersection of race, science, and society permeates everyday life and influences human health via genetics, access to medical care, diagnosis, and treatment.

Race and DiseaseEdit

There is a myriad of factors that affect health disparities between racial groups. Among these are genetic factors within racial populations, cultural mores, and social and environmental factors.

Health disparities, which include variations in life expectancy and prevalence of disease, due to the differences in health conditions across various ethnic populations that can be attributed to inequalities in living environment and access to healthcare may also play a role.

Single gene disordersEdit

See also: genetic disorder

There are many single gene genetic disorders that differ in frequency between different populations due to the region, though many assume it to be solely based on race. Examples include:

  • Sickle-cell anemia, most prevalent in populations with sub-Saharan African ancestry but also common among Latin-American, Indian, and Saudi Arab populations, as well as those of Mediterranean regions such as Turkey, Greece, and Italy[10][11]
  • Thalassemia, most prevalent in populations having Mediterranean ancestry, to the point that the disease's name is derived from Greek thalasson, "sea"

Multifactorial polygenic diseasesEdit

The table below shows many diseases which differ in frequency between different populations. However, complex diseases are affected by multiple factors, both genetic and environmental. There is controversy over the extent to which some of these conditions are heritable, and ongoing research aims to identify the genetic loci that are linked to these diseases.

“Risk is the probability that an event will occur. In epidemiology, it is most often used to express the probability that a particular outcome will occur following a particular exposure.”[13][14] Different populations are labelled “high-risk” or “low-risk” groups for various diseases due to the probability of that particular population being more exposed to certain risk factors. Beyond genetic factors, history and culture, as well as current environmental and social conditions, influence a certain population’s exposure to some factors that makes it statistically more probable to contract specific diseases. While this chart references biomedical literature, further information on these diseases can be found in various health journals. The groups described in the chart below are race-based, though the studies conducted are actually more specifically population-based.

Diseases that differ in frequency among different populations.[15]
Health defined group High-risk groups Low-risk groups Reference(s)
Alcoholism Native Americans, Aboriginal Australians Europeans [16][17][18][19]
Atrial fibrillation European Americans African Americans [20]
Carotid artery disease European Americans African Americans [21]
Coronary artery disease European Americans African Americans, West African men [21][22][23]
Dementia African Americans European Americans [24][25]
Focal segmental glomerulosclerosis African Americans European Americans [26]
Hepatitis C clearance European Americans African Americans [27]
HIV progression African Americans European Americans [28]
HIV vertical transmission European Americans African Americans [29]
Hypertension African Americans, West Africans Europeans [30][31]
Hypertensive heart disease African Americans European Americans [32]
Hypertensive retinopathy African Americans European Americans [33]
Intracranial haemorrhage African Americans European Americans [32]
Lupus nephritis with systemic lupus erythematosus African Americans European Americans [34]
Lung cancer African Americans European Americans [35]
Multiple sclerosis Europeans African Americans, Turkmens, Uzbeks, Native Siberians, New Zealand Maoris [36]
Myeloma African Americans European Americans [32]
Non-insulin dependent diabetes African Americans, West Africans, Peninsular Arabs, Pacific Islanders and Native Americans European Americans, Europeans [21][37][38]
Obesity African women, Native Americans, Pacific Islanders, Aboriginal Australians European Americans, Europeans, Southeast Asians [22][39][39]
Osteoporosis European Americans African Americans [40]
Pregnancy-related death African Americans European Americans [41]
Prostate cancer Africans and African Americans European Americans [42]
Renal disease, end stage Native Americans and African populations European Americans, Europeans [43][44]
Skin cancer Europeans   [45]
Stroke African Americans European Americans [32][46]
Systemic lupus erythematosus African Americans, West Africans, Native Americans Europeans [47]
Systemic sclerosis African Americans European Americans [48]

Disease progressionEdit

Groups may differ in how a disease progresses. Black men who were diagnosed with HIV generally fared worse than their white and Hispanic counterparts.[49] The percentage of men studied with very low CD4+ T-cell count, defined as less than 50 cells per microliter, at AIDS diagnosis was 24.1% for white men, 27.8% for Hispanic men, and 34.4% for Black men. Black men were also significantly less likely to be alive three years after diagnosis (80.6%) than Hispanic or white men, who had 85.2% and 84.5% survival rates, respectively. However, the reasons for these differences are not clear, and should not be understood as an essential difference between races, but rather as effects of social and environmental factors.[citation needed]

PreventionEdit

Different groups may require different preventive measures to prevent specific diseases. For example, disease prevention for melanoma, which can include proper use of sun screen and reducing the risks of sun exposure, could be targeted to groups that are much more likely to develop melanoma from sun exposure.[50]

Race-based treatmentEdit

See also: Pharmacogenomics

"Race-based medicine" is the term for medicines that are targeted at specific ethnic clusters which are shown to have a propensity for a certain disorder. The first example of this in the U.S. was when BiDil, a medication for congestive heart failure, was licensed specifically for use in American patients that self-identify as black.[51] Previous studies had shown that African American patients with congestive heart failure generally respond less effectively to traditional treatments than white patients with similar conditions.[52]

After two trials, BiDil was licensed exclusively for use in African American patients. Critics have argued that this particular licensing was unwarranted, since the trials did not in fact show that the drug was more effective in African Americans than in other groups, but merely that it was more effective in African Americans than other similar drugs. It was also only tested in African American males, but not in any other racial groups or among women. This peculiar trial and licensing procedure has prompted suggestions that the licensing was in fact used as a race-based advertising scheme.[53]

Critics are concerned that the trend of research on race-specific pharmaceutical treatments will result in inequitable access to pharmaceutical innovation and smaller minority groups may be ignored. This has led to a call for regulatory approaches to be put in place to ensure scientific validity of racial disparity in pharmacological treatment.[54]

An alternative to “race-based medicine” is personalized medicine that involves identifying genetic, genomic (i.e. genomic sequencing), and clinical information—as opposed to using race as a proxy for these data—to better predict a patient’s predisposition to certain diseases.[55]

Health disparities Edit

Health disparities refer to gaps in the quality of health and health care across racial and ethnic groups.[56] The US Health Resources and Services Administration defines health disparities as "population-specific differences in the presence of disease, health outcomes, or access to health care."[57] Health is measured through variables such as life expectancy and incidence of diseases.[58]

How researchers view race is often linked to how we address racial disparities because the national administrator of health uses these research findings to implement policies.[59]

“Seventy-nine percent of African Americans had health coverage in 2009 compared to 88 percent of white Americans.” [60]

Environmental FactorsEdit

In multiracial societies such as the United States, racial groups differ greatly in regard to social and cultural factors such as socioeconomic status, healthcare, diet, and education.[61] There is also the presence of racism which some see as a very important explaining factor.[62][63] Some argue that for many diseases racial differences would disappear if all environmental factors could be controlled for. See the article about race and health in the United States for a discussion of such factors. These factors may or may not be appropriate in other nations.

Ethnic minorities may also have specific health care needs which need to be taken into consideration by health services in order to tackle health disparities.[64] For example, Type 2 Diabetes are more prevalent in Mexicans as a result of economic development and urbanization of regions. When populations become more urban, it increases the availability of cheap sources of fat. A study done in 1995 showed that diabetes was most prevalent in India, China, and the United States as all three countries are highly urbanized. In addition, urbanization creates jobs that are less demanding as compared to non urban areas. This results in a change of lifestyle and choices of recreation that is typically responsible for the high levels of obesity and diabetes in Mexicans.

Genetic Factors[65][66]Edit

No two humans are genetically identical. Differences between individuals, even closely related individuals, are the key to techniques such as genetic fingerprinting. Versions of a trait, known as alleles, occur at different frequencies in different human populations; populations that are more geographically and ancestrally remote tend to differ more.

A phenotype is the "outward, physical manifestation" of an organism."[67] For humans, phenotypic differences are most readily seen via skin color, eye color, hair color, or height; however, any observable structure, function or behavior can be considered part of a phenotype. A genotype is the "internally coded, inheritable information" carried by all living organisms. The human genome is encoded in DNA[68]

For any trait of interest, observed differences among individuals “may be due to differences in the genes” coding for a trait or “the result of variation in environmental condition”. This variability is due to gene-environment interactions that influence genetic expression patterns and trait heritability.[69]

For humans, there is “more genetic variation among individual people than between larger racial groups.”[70] In general, an average of 85% of genetic variation exists within local populations, around 7% is between local populations within the same continent, and approximately 8% of variation occurs between large groups living on different continents.[71] Studies have found evidence of genetic differences between populations, but the distribution of genetic variants within and among human populations is impossible to describe succinctly because of the difficulty of defining a "population," the clinal nature of variation, and heterogeneity across the genome.[72] Thus, the racialization of science and medicine can lead to controversy when the term population and race are used interchangeably.

Evolutionary FactorsEdit

Genes may be under strong selection in response to local diseases. For example, people who are duffy negative tend to have higher resistance to malaria. Most Africans are duffy negative and most non-Africans are duffy positive.[73] A number of genetic diseases more prevalent in malaria-afflicted areas may provide some genetic resistance to malaria including sickle cell disease, thalassaemias, glucose-6-phosphate dehydrogenase, and possibly others.

Many theories about the origin of the cystic fibrosis have suggested that it provides a heterozygote advantage by giving resistance to diseases earlier common in Europe.

In earlier research a common theory was the "common disease-common variant" model. It argues that for common illnesses, the genetic contribution comes from the additive or multiplicative effects of gene variants that each one is common in the population. Each such gene variant is argued to cause only a small risk of disease and no single variant is enough to cause the disease. An individual must have many of these common gene variants in order for the risk of disease to be substantial.[74]

More recent research indicates that the "common disease-rare variant" may be a better explanation for many common diseases. In this model, rare but higher-risk gene variants cause common diseases. This model may be particularly relevant for diseases that reduces fertility. In contrast, for common genes associated with common disease to persist they must either have little effect during the reproductive period of life (like Alzheimer's disease) or provide some advantage in the original environment (like genes causing autoimmune diseases also providing resistance against infections). In either case varying frequencies of genes variants in different populations may be an explanation for health disparities.[74] Genetic variants associated with Alzheimer's disease, deep venous thrombosis, Crohn disease, and type 2 diabetes appear to adhere to "common disease-common variant" model.[75]

Gene flowEdit

Gene flow and admixture can also have an effect on relationships between race and race-linked disorders. Multiple sclerosis, for example, is typically associated with people of European descent, but due to admixture African Americans have elevated levels of the disorder relative to Africans.[76]

Some diseases and physiological variables vary depending upon their admixture ratios. Examples include measures of insulin functioning[77] and obesity.[78]

Gene interactions Edit

The same gene variant, or group of gene variants, may produce different effects in different populations depending on differences in the gene variants, or groups of gene variants, they interact with. One example is the rate of progression to AIDS and death in HIV–infected patients. In Caucasians and Hispanics, HHC haplotypes were associated with disease retardation, particularly a delayed progression to death. In contrast, for African Americans, possession of HHC haplotypes was associated with disease acceleration.[79]

Controversy regarding race in biomedicineEdit

There is a controversy regarding race as a method for classifying humans. Different sources argue it is purely social construct or a biological reality reflecting average genetic group differences. New interest in human biological variation has resulted in a resurgence of the use of race in biomedicine.[80]

The main impetus for this development is the possibility of improving the prevention and treatment of certain diseases by predicting hard-to-ascertain factors, such as genetically conditioned health factors, on the basis of more easily ascertained characteristics such as phenotype and racial self-identification. Since medical judgment often involves decision-making under uncertain conditions,[81] many doctors consider it useful to take race into account when treating disease because diseases and treatment responses tend to cluster by geographic ancestry.[82] The discovery that more diseases than previously thought correlate with racial identification have further sparked the interest in using race as a proxy for bio-geographical ancestry and genetic buildup.

Race in medicine is used as an approximation for more specific genetic and environmental risk factors. Race is thus partly a surrogate for environmental factors such as differences in socioeconomic status that are known to affect health. It is also an imperfect surrogate for ancestral geographic regions and differences in gene frequencies between different ancestral populations and thus differences in genes that can affect health. This can give an approximation of probability for disease or for preferred treatment, although the approximation is less than perfect.[58]

File:Sickle cell distribution.jpg
File:Malaria geographic distribution 2003.png

Taking the example of sickle-cell disease, in an emergency room, knowing the geographic origin of a patient may help a doctor doing an initial diagnosis if a patient presents with symptoms compatible with this disease. This is unreliable evidence with the disease being present in many different groups as noted above with the trait also present in some Mediterranean European populations. Definitive diagnosis comes from examining the blood of the patient. In the US, screening for sickle cell anemia is done on all newborns regardless of race.[81]

The continued use of racial categories has been criticized. Apart from the general controversy regarding race, some argue that the continued use of racial categories in health care and as risk factors could result in increased stereotyping and discrimination in society and health services.[61][83][84] On the other hand, also some of those who are critical of race as a biological concept see race as socially meaningful group that is important to study epidemiologically in order to reduce disparities.[85] For example, some racial groups are less likely than others to receive adequate treatment for osteoporosis, even after risk factors have been assessed. Since the 19th century, blacks have been thought to have thicker bones than whites have and to lose bone mass more slowly with age.[86] In a recent study, African Americans were shown to be substantially less likely to receive prescription osteoporosis medications than Caucasians. Men were also significantly less likely to be treated compared with women. This discrepancy may be due to physicians’ knowledge that, on average, African Americans are at lower risk for osteoporosis than Caucasians. It may be possible that these physicians generalize this data to high-risk African-Americans, leading them to fail to appropriately assess and manage these individuals’ osteoporosis.[87] On the other hand, some of those who are critical of race as a biological concept see race as socially meaningful group that is important to study epidemiologically in order to reduce disparities.

David Williams (1994) argued, after an examination of articles in the journal Health Services Research during the 1966-90 period, that how race was determined and defined was seldom described. At a minimum, researchers should describe if race was assessed by self-report, proxy report, extraction from records, or direct observation. Race was also often used questionable, such as an indicator of socioeconomic status.[88] Racial genetic explanations may be overemphasized, ignoring the interaction with and the role of the environment.[89]

From concepts of Race to Ethnogenetic Layering Edit

There is general agreement that a goal of health-related genetics should be to move past the weak surrogate relationships of racial health disparity and get to the root causes of health and disease. This includes research which strives to analyze human genetic variation in smaller groups than races across the world.[61]

One such method is called ethnogenetic layering. It works by focusing on geographically identified microethnic groups. For example, in the Mississippi Delta region ethnogenetic layering might include such microethnic groups as the Cajun (as a subset of European Americans), the Creole and Black groups [with African origins in Senegambia, Central Africa and Bight of Benin] (as a subset of African Americans), and Choctaw, Houmas, Chickasaw, Coushatta, Caddo, Atakapa, Karankawa and Chitimacha peoples (as subsets of Native American Indians).[90][91]

Better still may be individual genetic assessment of relevant genes.[92] As genotyping and sequencing have become more accessible and affordable, avenues for determining individual genetic makeup have opened dramatically.[93] Even when such methods become commonly available, race will continue to be important when looking at groups instead of individuals such as in epidemiologic research.[92]

Association studiesEdit

One area in which population categories can be important considerations in genetics research is in controlling for confounding between population genetic substructure, environmental exposures, and health outcomes. Association studies can produce spurious results if cases and controls have differing allele frequencies for genes that are not related to the disease being studied,[94][95] although the magnitude of its problem in genetic association studies is subject to debate.[96][97] Various techniques detect and account for population substructure,[98][99] but these methods can be difficult to apply in practice.[100]

Population genetic substructure also can aid genetic association studies. For example, populations that represent recent mixtures of separated ancestral groups can exhibit longer-range linkage disequilibrium between susceptibility alleles and genetic markers than is the case for other populations.[101][102][103][104] Genetic studies can use this disequilibrium to search for disease alleles with fewer markers than would be needed otherwise. Association studies also can take advantage of the contrasting experiences of racial or ethnic groups, including migrant groups, to search for interactions between particular alleles and environmental factors that might influence health.[105][106]

Human genome projectsEdit

The Human Genome Diversity Project has collected genetic samples from 52 indigenous populations.

See alsoEdit

United States:

General:

ReferencesEdit

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Further readingEdit

  • Appel JM (July 2009). Is all fair in biological warfare? The controversy over genetically engineered biological weapons. Journal of Medical Ethics 35 (7): 429–32.
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  • (November 2001) Genes, drugs and race. Nature Genetics 29 (3): 239–40.
  • Farrer LA, Cupples LA, Haines JL, et al. (1997). Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer Disease Meta Analysis Consortium. JAMA 278 (16): 1349–56.
  • Ferguson R, Morrissey E (August 1993). Risk factors for end-stage renal disease among minorities. Transplantation Proceedings 25 (4): 2415–20.
  • Fernández JR, Shriver MD, Beasley TM, et al. (July 2003). Association of African genetic admixture with resting metabolic rate and obesity among women. Obesity Research 11 (7): 904–11.
  • Gaines K, Burke G (1995). Ethnic differences in stroke: black-white differences in the United States population. SECORDS Investigators. Southeastern Consortium on Racial Differences in Stroke. Neuroepidemiology 14 (5): 209–39.
  • Gonzalez E, Bamshad M, Sato N, et al. (October 1999). Race-specific HIV-1 disease-modifying effects associated with CCR5 haplotypes. Proceedings of the National Academy of Sciences of the United States of America 96 (21): 12004–9.
  • Gower BA, Fernández JR, Beasley TM, Shriver MD, Goran MI (April 2003). Using genetic admixture to explain racial differences in insulin-related phenotypes. Diabetes 52 (4): 1047–51.
  • Halder I, Shriver MD (November 2003). Measuring and using admixture to study the genetics of complex diseases. Human Genomics 1 (1): 52–62.
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