Biotic factors would include the availability of food organisms and the presence of biological specificity, competitors, predators, and parasites.
Pollution, stress, physical and mental abuse, diet, exposure to toxins, pathogens, radiation and chemicals found in almost all[quantify] personal-care products and household cleaners are common environmental factors that determine a large segment of non-hereditary disease.
[citation needed] If a disease process is concluded to be the result of a combination of genetic and environmental factor influences, its etiological origin can be referred to as having a multifactorial pattern.
[16] In his 2005 article, Wild stated, "At its most complete, the exposome encompasses life-course environmental exposures (including lifestyle factors), from the prenatal period onwards."
The concept was first proposed to draw attention to the need for better and more complete environmental exposure data for causal research, in order to balance the investment in genetics.
For complex disorders, specific genetic causes appear to account for only 10-30% of the disease incidence, but there has been no standard or systematic way to measure the influence of environmental exposures.
[25] The HELIX project at the Barcelona-based Centre for Research in Environmental Epidemiology was launched around 2014, and aimed to develop an early-life exposome.
[13] A second project, Exposomics, based at Imperial College London, launched in 2012, aimed to use smartphones utilising GPS and environmental sensors to assess exposures.
[25][26] In late 2013, a major initiative called the "Health and Environment-Wide Associations based on Large Scale population Surveys" or HEALS, began.
[27] In December 2011, the US National Academy of Sciences hosted a meeting entitled "Emerging Technologies for Measuring Individual Exposomes.
In tropical deforestation for instance, the main driver is economic opportunities that come the extraction of these resources and the conversion of this land to crop or rangelands.
[citation needed] An example of how socioeconomic drivers affect climate change can be seen in the soy bean trading between Brazil and China.
For instance, an increase in the development for soy bean croplands in Brazil means there needs to be more and more land made available for this resource.
For instance, African countries are converting savanna's into cropland and this all stems from the socioeconomic driver of wanting to develop biofuels.
The main concept to take away from this is the idea that everything is connected and that our roles and choices as humans have major driving forces that impact our world in numerous ways.