Key points are not available for this paper at this time.
BACKGROUND: Some persons are genetically resistant to obesity, but only a few studies have evaluated thinness genes for preventing obesity. We aimed to investigate the association of polygenic variants with being underweight and their interaction with the lifestyles of middle-aged and elderly persons and identify potential new genetic approaches for managing body weight. METHODS: . A genome-wide association study was run to identify thinness-related single nucleotide polymorphisms (SNPs) after adjustment for compound factors using Gplink. The generalised multifactor dimensionality reduction program was used to identify the genetic variants with SNP-SNP interactions. The polygenic risk score (PRS) was calculated by summing up the number of risk alleles in each SNP and classifying them into low-, medium- and high-PRS. RESULTS: The best model included the ANK2ᵣs7656666, CASTᵣs28042, SLC1A3ᵣs928431867, CHST12ᵣs2906173, ALOX5ᵣs1051713, RGS6ᵣs17180754, ST8SIA5ᵣs79491311 and DCCᵣs35721894 alleles. The participants with high-PRS had a lower BMI (p < 0. 0001) than those with low-PRS and were 3. 834 (2. 58-5. 70) times more likely to be underweight after multivariate adjustment (p < 0. 001). The selected SNPs were correlated with each other and highly expressed in brain-related genes. The genes with minor alleles of CASTᵣs28042 and CHST12ᵣs2906173 exhibited a higher expression frequency in brain-related tissues. PRS had significant interactions with protein, sodium, indigestible carbohydrates, calcium intake and exercise (p < 0. 05), influencing the underweight state. People with a high-PRS were more underweight than those with low-PRS under high protein, sodium, high calcium, low indigestible carbohydrate intake and low exercise by 3. 75, 3. 88, 7. 05, 3. 18 and 3. 80 times, respectively (p < 0. 0001). CONCLUSIONS: In conclusion, adults having a high-PRS were significantly correlated with being underweight, especially in combination with a particular nutritional status. These results show the potential for thinness genes to be applied to personalised nutrition for preventing obesity through targeted gene therapy.
Zhou et al. (Thu,) studied this question.