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      Salivary amylase gene (AMY1) copy number variation has only a minor correlation with body composition in Chinese adults

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          Abstract

          <p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="first" dir="auto" id="d3218023e101">According to the WHO, about 39% of the global adult population were overweight or obese in 2016. Obesity has high heritability, with more than 1000 variants so far identified. There have been reports indicating that salivary amylase gene (AMY1) copy number was one of these variants, yet its association with obesity remains controversial. </p>

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          Most cited references21

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          Abdominal obesity and metabolic syndrome.

          Metabolic syndrome is associated with abdominal obesity, blood lipid disorders, inflammation, insulin resistance or full-blown diabetes, and increased risk of developing cardiovascular disease. Proposed criteria for identifying patients with metabolic syndrome have contributed greatly to preventive medicine, but the value of metabolic syndrome as a scientific concept remains controversial. The presence of metabolic syndrome alone cannot predict global cardiovascular disease risk. But abdominal obesity - the most prevalent manifestation of metabolic syndrome - is a marker of 'dysfunctional adipose tissue', and is of central importance in clinical diagnosis. Better risk assessment algorithms are needed to quantify diabetes and cardiovascular disease risk on a global scale.
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            Diet and the evolution of human amylase gene copy number variation.

            Starch consumption is a prominent characteristic of agricultural societies and hunter-gatherers in arid environments. In contrast, rainforest and circum-arctic hunter-gatherers and some pastoralists consume much less starch. This behavioral variation raises the possibility that different selective pressures have acted on amylase, the enzyme responsible for starch hydrolysis. We found that copy number of the salivary amylase gene (AMY1) is correlated positively with salivary amylase protein level and that individuals from populations with high-starch diets have, on average, more AMY1 copies than those with traditionally low-starch diets. Comparisons with other loci in a subset of these populations suggest that the extent of AMY1 copy number differentiation is highly unusual. This example of positive selection on a copy number-variable gene is, to our knowledge, one of the first discovered in the human genome. Higher AMY1 copy numbers and protein levels probably improve the digestion of starchy foods and may buffer against the fitness-reducing effects of intestinal disease.
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              Obesity Statistics.

              Obesity is a chronic disease that is strongly associated with an increase in mortality and morbidity including, certain types of cancer, cardiovascular disease, disability, diabetes mellitus, hypertension, osteoarthritis, and stroke. In adults, overweight is defined as a body mass index (BMI) of 25 kg/m(2) to 29 kg/m(2) and obesity as a BMI of greater than 30 kg/m(2). If current trends continue, it is estimated that, by the year 2030, 38% of the world's adult population will be overweight and another 20% obese. Significant global health strategies must reduce the morbidity and mortality associated with the obesity epidemic.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Genes & Genomics
                Genes Genom
                Springer Science and Business Media LLC
                1976-9571
                2092-9293
                July 2023
                April 12 2023
                July 2023
                : 45
                : 7
                : 935-943
                Article
                10.1007/s13258-023-01381-x
                37043131
                2d0f75ac-d460-42cc-bbf7-f3053665e9c2
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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