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

  • Jerry Z. Zhang
  • , Lacey W. Heinsberg
  • , Mohanraj Krishnan
  • , Nicola L. Hawley
  • , Tanya J. Major
  • , Jenna C. Carlson
  • , Jennie Harré Hindmarsh
  • , Huti Watson
  • , Muhammad Qasim
  • , Lisa K. Stamp
  • , Nicola Dalbeth
  • , Rinki Murphy
  • , Guangyun Sun
  • , Hong Cheng
  • , Take Naseri
  • , Muagututi'a S. Reupena
  • , Erin E. Kershaw
  • , Ranjan Deka
  • , Stephen T. McGarvey
  • , Ryan L. Minster
  • Tony R. Merriman, Daniel E. Weeks

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

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 (log10 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 < log10BF < 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 log10BFs. 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.

Original languageEnglish (US)
Pages (from-to)105-118
Number of pages14
JournalGenetic Epidemiology
Volume47
Issue number1
DOIs
StatePublished - Feb 2023

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Genetics(clinical)

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