Multivariate analysis of a missense variant in CREBRF reveals associations with measures of adiposity in people of Polynesian ancestries. Issue 1 (9th November 2022)

• Record Type: Journal Article
• Authors: Zhang, Jerry Z.; Heinsberg, Lacey W.; Krishnan, Mohanraj; Hawley, Nicola L.; Major, Tanya J.; Carlson, Jenna C.; Harré Hindmarsh, Jennie; Watson, Huti; Qasim, Muhammad; Stamp, Lisa K.; Dalbeth, Nicola; Murphy, Rinki; Sun, Guangyun; Cheng, Hong; Naseri, Take; Reupena, Muagututi'a S.; Kershaw, Erin E.; Deka, Ranjan; McGarvey, Stephen T.; Minster, Ryan L.; Merriman, Tony R.; Weeks, Daniel E.
• Is Part Of: Genetic epidemiology. Volume 47:Issue 1(2023)
• Page Start: 105
• Page End: 118
• Publication Date: 2022-11-09
• Subjects: Bayesian association analyses -- Bayesian network analyses -- Māori -- Pacific Islander -- Samoan; Genetic epidemiology -- Periodicals; Heredity -- Periodicals; Medical geography -- Periodicals; 614
• DOI: 10.1002/gepi.22508
• Languages: English
• ISSNs: 0741-0395

Abstract

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 < log10 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 log10 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.