Health Determinants - Interaction
between health determinants
Recently, many studies have been published on
the role of genetics in specific population health risk issues particularly
identifying polymorphism in genes that could substantially alter
the risk, for example, N-acetyltransferase 2 (NAT 2) slow acetylator
phenotype increasing the risk of bladder cancer and the glutationne
S-transferase µ1 (GSTM1) deficiency increasing lung cancer
risk. Various reports have identified genetic-environment interactions including
an increased lung cancer risk due to passive smoking in women who were GSTM1-deficient.
Mutations in BRCA1 or BRCA2 contribute to breast cancer and ovarian incidence.
Therefore, the identification of genetically susceptible population subgroups
at which risk management strategies need to be targeted will definitely help
in identifying gene-environment interactions.
It is now well-recognized that environmental determinants of risk interact
with social and
genetic determinants. For example, synergistic interactions between asbestos
and tobacco smoke and between radon and tobacco smoke have been clearly demonstrated
in epidemiological studies of lung cancer risks in miners, raising questions
about health risks in non-occupational groups exposed to these agents. Genetic
susceptibility to environmental carcinogens has also been established, with the
risk of radiation induced cancer of the eye greatly enhanced in individuals carrying
the retinoblastoma gene. Complex mixtures of environmental contaminants, such
as mixtures of pollutants in ambient air associated with cardio-respiratory morbidity
and mortality, also present opportunities for interaction among the components
of the mixture. For example, gene-diet interactions such as the adiponectin gene
polymorphism (+10211T - G) may contribute to insulin resistance and diabetes
and can be exaggerated when higher glycemic loads are consumed.
Social and environmental factors often interact in determining
population health risks: social circumstances influence personal exposures to
occupational and environmental hazards through education. This is then reinforced
if the resulting ill-health leads to loss of income and resulting decline in
social status. Similarly, associations between genetic and socio-economic factors
are known: physical stature increases with social class and with upward social
mobility, such that social circumstances limit the realization of the individual’s
genetic potential. We therefore need to exploit health risk science to clarify
the manner in which genetic, cultural and social circumstances interact to determine
population health risks, both to enhance our ability to characterize disease
risk, and to identify the optimal points for intervention.
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