Sugar-sweetened beverage consumption may modify associations between genetic variants in the CHREBP (carbohydrate responsive element binding protein) locus and HDL-C (high-density lipoprotein cholesterol) and triglyceride concentrations

BACKGROUND: ChREBP (carbohydrate responsive element binding protein) is a transcription factor that responds to sugar consumption. Sugar-sweetened beverage (SSB) consumption and genetic variants in the CHREBP locus have separately been linked to HDL-C (high-density lipoprotein cholesterol) and triglyceride concentrations. We hypothesized that SSB consumption would modify the association between genetic variants in the CHREBP locus and dyslipidemia.METHODS: Data from 11 cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (N=63599) and the UK Biobank (N=59220) were used to quantify associations of SSB consumption, genetic variants, and their interaction on HDL-C and triglyceride concentrations using linear regression models. A total of 1606 single nucleotide polymorphisms within or near CHREBP were considered. SSB consumption was estimated from validated questionnaires, and participants were grouped by their estimated intake.RESULTS: In a meta-analysis, rs71556729 was significantly associated with higher HDL-C concentrations only among the highest SSB consumers (beta, 2.12 [95% CI, 1.16-3.07] mg/dL per allele; P<0.0001), but not significantly among the lowest SSB consumers (P=0.81; P-Diff<0.0001). Similar results were observed for 2 additional variants (rs35709627 and rs71556736). For triglyceride, rs55673514 was positively associated with triglyceride concentrations only among the highest SSB consumers (beta, 0.06 [95% CI, 0.02-0.09] In-mg/dL per allele, P=0.001) but not the lowest SSB consumers (P=0.84; P-Diff=0.0005).CONCLUSIONS: Our results identified genetic variants in the CHREBP locus that may protect against SSB-associated reductions in HDL-C and other variants that may exacerbate SSB-associated increases in triglyceride concentrations.Clinical epidemiolog

Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium

Clinical epidemiolog

The Date of Kanishka since 1960

The 1960 London Conference on the Date of Kanishka involved many leading scholars of Central and South Asian studies and had a profound impact on the field. This article examines the historiography of the central problem posed at the conference: In what year did the era of Kanishka commence? It traces the advances in evidence that led to the solution of AD 127 between 2000 and 2010. The complexity of this process is often omitted in historiographical accounts, which opens the final solution to criticism and also fails to address why the field polarised after 1960 and found it so hard to reconcile new evidence. The article suggests that the eventual solution was a result of the cumulative effect of new data. It also shows that the field as a whole arrived at a solution long before it arrived at a consensus. This suggests that the failure of new evidence to bring about a solution more quickly is a major challenge to South and Central Asian studies in the future