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Multivariate analysis of a missense variant in CREBRF reveals associations with measures of adiposity in people of Polynesian ancestries.

Jerry Z ZhangLacey W HeinsbergMohanraj KrishnanNicola L HawleyTanya J MajorJenna Colavincenzo CarlsonJennie Harré HindmarshHuti WatsonMuhammad QasimLisa K StampNicola DalbethRinki MurphyGuangyun SunHong ChengTake NaseriMuagututi'a Sefuiva ReupenaErin E KershawRanjan DekaStephen T McGarveyRyan L MinsterTony Raymond MerrimanDaniel E Weeks
Published in: Genetic epidemiology (2022)
The minor allele of rs373863828, a missense variant in CREB3 Regulatory Factor, is associated with several cardiometabolic phenotypes in Polynesian peoples. To better understand the variant, we tested the association of rs373863828 with a panel of correlated phenotypes (body mass index [BMI], weight, height, HDL cholesterol, triglycerides, and total cholesterol) using multivariate Bayesian association and network analyses in a Samoa cohort (n = 1632), Aotearoa New Zealand cohort (n = 1419), and combined cohort (n = 2976). An expanded set of phenotypes (adding estimated fat and fat-free mass, abdominal circumference, hip circumference, and abdominal-hip ratio) was tested in the Samoa cohort (n = 1496). In the Samoa cohort, we observed significant associations (log 10 Bayes Factor [BF] ≥ 5.0) between rs373863828 and the overall phenotype panel (8.81), weight (8.30), and BMI (6.42). In the Aotearoa New Zealand cohort, we observed suggestive associations (1.5 < log 10 BF < 5) between rs373863828 and the overall phenotype panel (4.60), weight (3.27), and BMI (1.80). In the combined cohort, we observed concordant signals with larger log 10 BFs. In the Samoa-specific expanded phenotype analyses, we also observed significant associations between rs373863828 and fat mass (5.65), abdominal circumference (5.34), and hip circumference (5.09). Bayesian networks provided evidence for a direct association of rs373863828 with weight and indirect associations with height and BMI.
Keyphrases
  • body mass index
  • weight gain
  • physical activity
  • adipose tissue
  • metabolic syndrome
  • body weight
  • transcription factor
  • insulin resistance
  • intellectual disability
  • data analysis