Sirvi Märksõna "Cholesterol" järgi

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Low cholesterol levels in children predict impulsivity in young adulthood
(2019) Tomson-Johanson, Katrin; Kaart, Tanel; Kiivet, Raul-Allan; Veidebaum, Toomas; Harro, Jaanus
Objective: Severe behavioural issues such as impulsive action and suicide have since long been associated with low levels of cholesterol. While it is known that cholesterol plays a role in neural development and hence low levels of serum lipids could have long-term effects on behaviour, there are no longitudinal studies showing association of serum lipids levels with impulsivity. We aimed to examine the prognostic properties of serum lipid levels during childhood and adolescence on measures of impulsivity during early adulthood in a representative birth cohort sample. Methods: We have investigated whether serum lipid levels measured at 9, 15, 18 and 25 years of age have an association with impulsivity in 25 years old young adults. This analysis was based on data of the birth cohort representative samples of the Estonian Children Personality Behaviour and Health Study (original n=1238). Impulsivity was self-reported with the Adaptive and Maladaptive Impulsivity Scale. Results: Total and LDL cholesterol measured in 9, 15 and 18 years old boys predicted Disinhibition and Thoughtlessness in 25 years old young adults. High scores of Disinhibition were associated with low total and LDL cholesterol levels in males but, while less consistently, with high total and LDL cholesterol levels in females. Cross-sectional analysis did not result in systematic outcomes. Conclusions: Serum lipid levels could have an impact on development of maladaptive impulsivity starting from an early age. This effect of cholesterol continues throughout adolescence into young adulthood.
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Ranking and characterization of established BMI and lipid associated loci as candidates for gene-environment interactions
(2017) Shungin, Dmitry; Deng, Wei Q.; Varga, Tibor V.; Luan, Jian'an; Mihailov, Evelin; Metspalu, Andres; GIANT Consortium; Morris, Andrew P.; Forouhi, Nita G.; Lindgren, Cecilia; Magnusson, Patrik K. E.; Pedersen, Nancy L.; Hallmans, Göran; Chu, Audrey Y.; Justice, Anne E.; Graff, Mariaelisa; Winkler, Thomas W.; Rose, Lynda M.; Langenberg, Claudia; Cupples, L. Adrienne; Kilpeläinen, Tuomas O.; Scott, Robert A.; Mägi, Reedik; Paré, Guillaume; Franks, Paul W.; Ridker, Paul M.; Wareham, Nicholas J.; Ong, Ken K.; Loos, Ruth J. F.; Chasman, Daniel I.; Ingelsson, Erik
Phenotypic variance heterogeneity across genotypes at a single nucleotide polymorphism (SNP) may reflect underlying gene-environment (G×E) or gene-gene interactions. We modeled variance heterogeneity for blood lipids and BMI in up to 44,211 participants and investigated relationships between variance effects (Pv), G×E interaction effects (with smoking and physical activity), and marginal genetic effects (Pm). Correlations between Pv and Pm were stronger for SNPs with established marginal effects (Spearman’s ρ = 0.401 for triglycerides, and ρ = 0.236 for BMI) compared to all SNPs. When Pv and Pm were compared for all pruned SNPs, only BMI was statistically significant (Spearman’s ρ = 0.010). Overall, SNPs with established marginal effects were overrepresented in the nominally significant part of the Pv distribution (Pbinomial <0.05). SNPs from the top 1% of the Pm distribution for BMI had more significant Pv values (PMann–Whitney = 1.46×10−5), and the odds ratio of SNPs with nominally significant (<0.05) Pm and Pv was 1.33 (95% CI: 1.12, 1.57) for BMI. Moreover, BMI SNPs with nominally significant G×E interaction P-values (Pint<0.05) were enriched with nominally significant Pv values (Pbinomial = 8.63×10−9 and 8.52×10−7 for SNP × smoking and SNP × physical activity, respectively). We conclude that some loci with strong marginal effects may be good candidates for G×E, and variance-based prioritization can be used to identify them.