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Like many other medical conditions, obesity is the result of an interplay between environmental and genetic factors. [2] [3] Studies have identified variants in several genes that may contribute to weight gain and body fat distribution, although only in a few cases are genes the primary cause of obesity.
A study presented at the Digestive Disease Week 2024 conference examined 84 people with obesity or other weight management issues in order to investigate how genetics plays a role in weight loss ...
[30] [31] The observation that genetic correlations usually mirror phenotypic correlations is known as "Cheverud's Conjecture" [32] and has been confirmed in animals [33] [34] and humans, and showed they are of similar sizes; [35] for example, in the UK Biobank, of 118 continuous human traits, only 29% of their intercorrelations have opposite ...
On average obese people have a greater energy expenditure than normal weight or thin people and actually have higher basal metabolic rates. [45] [46] This is because it takes more energy to maintain an increased body mass. [47] Obese people also underreport how much food they consume compared to those of normal weight. [48]
The dual intervention point model posits that rather than a body weight set point, there is a set range for body weight. Under this model, active compensation happens only outside of upper and lower intervention points, and for weights within the set range, environmental factors would have a strong effect on body weight since there would only ...
To support the hypothesis that core genes play a smaller than expected role, the authors describe three main observations: the heritability for complex traits is spread broadly, often uniformly, across the genome; genetic effects do not appear to be mediated by cell-type specific function; and genes in the relevant functional categories only ...
The reason is that GWAS studies identify risk-SNPs, but not risk-genes, and specification of genes is one step closer towards actionable drug targets. As a result, major GWA studies by 2011 typically included extensive eQTL analysis. [56] [57] [58] One of the strongest eQTL effects observed for a GWA-identified risk SNP is the SORT1 locus. [42]
Many of us believe we are masters of own destiny, but new research is revealing the extent to which our behavior is influenced by our genes. It’s now possible to decipher our individual genetic ...