The missense variant, rs373863828, in CREBRF plays a role in longitudinal changes in body mass index in Samoans

Fu, Haoyi; Hawley, Nicola L.; Carlson, Jenna C.; Russell, Emily M.; Pomer, Alysa; Cheng, Hong; Naseri, Take; Reupena, Muagututi’a Sefuiva; Deka, Ranjan; Choy, Courtney C; McGarvey, Stephen T.; Minster, Ryan L.; Weeks, Daniel E.

doi:10.1016/j.orcp.2022.04.004

Cited by 2 publications

(4 citation statements)

References 30 publications

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“…In line with our previous study of these data, the rs373863828 A allele was associated with greater increases in BMI over time [ 6 , 30 ]. In this analysis, higher BMI rate-of-change was associated with an attenuated increase in FG (i.e., FG rate-of-change closer to 0), although this relationship appeared to depend upon genotype.…”

Section: Discussionsupporting

confidence: 91%

“…We observed that the rs373863828 genotype appears to moderate the relationship between baseline BMI and increase in BMI. Among women with the AA genotype, baseline BMI was associated with a greater increase in BMI overall, compared to the AG and GG genotype individuals, as we saw in our previous study of these data [30].…”

Section: Plos Onesupporting

confidence: 71%

“…It is therefore possible that the rs373863828 genotype moderates the relationship between BMI rate-of-change and FG rate-of-change, although this study did not test this moderation formally due to small sample size. Notably, it is also possible that this relationship may also be reflecting age-, and/or hyperglycemia and insulin deficiency-related weight loss (i.e., muscle atrophy) [30][31][32][33].…”

Section: Plos Onementioning

confidence: 99%

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Associations between fasting glucose rate-of-change and the missense variant, rs373863828, in an adult Samoan cohort

Rivara,

Russell,

Carlson

et al. 2024

PLoS ONE

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Background The A allele of rs373863828 in CREB3 regulatory factor is associated with high Body Mass Index, but lower odds of type 2 diabetes. These associations have been replicated elsewhere, but to date all studies have been cross-sectional. Our aims were (1) to describe the development of type 2 diabetes and change in fasting glucose between 2010 and 2018 among a longitudinal cohort of adult Samoans without type 2 diabetes or who were not using diabetes medications at baseline, and (2) to examine associations between fasting glucose rate-of-change (mmol/L per year) and the A allele of rs373863828. Methods We describe and test differences in fasting glucose, the development of type 2 diabetes, body mass index, age, smoking status, physical activity, urbanicity of residence, and household asset scores between 2010 and 2018 among a cohort of n = 401 adult Samoans, selected to have a ~2:2:1 ratio of GG:AG: AA rs373863828 genotypes. Multivariate linear regression was used to test whether fasting glucose rate-of-change was associated with rs373863828 genotype, and other baseline variables. Results By 2018, fasting glucose and BMI significantly increased among all genotype groups, and a substantial portion of the sample developed type 2 diabetes mellitus. The A allele was associated with a lower fasting glucose rate-of-change (β = −0.05 mmol/L/year per allele, p = 0.058 among women; β = −0.004 mmol/L/year per allele, p = 0.863 among men), after accounting for baseline variables. Mean fasting glucose and mean BMI increased over an eight-year period and a substantial number of individuals developed type 2 diabetes by 2018. However, fasting glucose rate-of-change, and type 2 diabetes development was lower among females with AG and AA genotypes. Conclusions Further research is needed to understand the effect of the A allele on fasting glucose and type 2 diabetes development. Based on our observations that other risk factors increased over time, we advocate for the continued promotion for diabetes prevention and treatment programming, and the reduction of modifiable risk factors, in this setting.

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Section: Discussionsupporting

confidence: 91%

Section: Plos Onesupporting

confidence: 71%

Section: Plos Onementioning

confidence: 99%

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Associations between fasting glucose rate-of-change and the missense variant, rs373863828, in an adult Samoan cohort

Rivara,

Russell,

Carlson

et al. 2024

PLoS ONE

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“…Our study demonstrates that the Swinburn et al (1999) equations remain useful for estimating fat mass more than 20 years after their publication despite marked increases in BMI among Samoan adults over the same period (Fu et al, 2022;Lin et al, 2017). Compared to the New Zealand-based Samoans who were included in the sample used to derive Swinburn's equations, the mean BMI in our sample was greater, with differences accounted for largely by fat mass (Table 1).…”

Section: Discussionmentioning

confidence: 68%

Validity of anthropometric equation‐based estimators of fat mass in Samoan adults

Heinsberg

Hawley

Duckham

et al. 2022

American J Hum Biol

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Introduction In 1999, a set of highly accurate Polynesian‐specific equations to estimate adult body fat from non‐invasive field measures of age, sex, height, and weight (Equation 1), age, sex, height, weight, and bioelectrical impedance analysis (BIA) resistance (Equation 2), and age, sex, height, weight, and the sum of two skinfold thicknesses (Equation 3) were published. The purpose of this study was to evaluate the performance of the equation‐based estimators in a sample of Samoan adults recruited 20 years later between 2017 and 2019. Methods Age, sex, height, weight, BIA resistance, skinfold thickness, and fat mass as measured using dual energy x‐ray absorptiometry (DXA) were available for 432 Samoan adults (mean age 50.9 years, 56% female) seen in 2017/2019. We compared equation‐derived fat mass and DXA‐derived fat mass using scatterplots and Pearson correlation coefficients. We then updated the equation coefficient estimates in a training set (2/3 of the sample) and evaluated the performance of the updated equations in a testing set (the remaining 1/3 of the sample). Results Equation‐derived fat mass was strongly correlated with DXA‐derived fat mass for Equation (1) (r2 = 0.95, n = 432), Equation (2) (r2 = 0.97, n = 425), and Equation (3) (r2 = 0.95, n = 426). Updating the equation coefficient estimates resulted in mostly similar coefficients and nearly identical testing set performance for Equation (1) (r2 = 0.96, n = 153), Equation (2) (r2 = 0.98, n = 150), and Equation (3) (r2 = 0.96, n = 150). Conclusions The Polynesian‐specific body fat estimation equations remained stable despite changing social and environmental factors and marked increase in obesity prevalence in Samoa.

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The missense variant, rs373863828, in CREBRF plays a role in longitudinal changes in body mass index in Samoans

Cited by 2 publications

References 30 publications

Associations between fasting glucose rate-of-change and the missense variant, rs373863828, in an adult Samoan cohort

Associations between fasting glucose rate-of-change and the missense variant, rs373863828, in an adult Samoan cohort

Validity of anthropometric equation‐based estimators of fat mass in Samoan adults

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