Meta-analysis of over 8,000 individuals from Hawai‘i and Samoa for genetic associations to cardiometabolic phenotypes
9 affiliations
- 1Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, United States of America
- 2Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, California, United States of America
- 3Department of Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
- 4Department of Biostatistics and Health Data Science, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
- 5Ministry of Health, Apia, Samoa
- 6Department of Epidemiology, Brown University, Providence, Rhode Island, United States of America
- 7Oceania University of Medicine, Apia, Samoa
- 8Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, United States of America
- 9Population Sciences in the Pacific Program, Cancer Center, University of Hawaiʻi, Honolulu, Hawai‘i, United States of America
Abstract
Although genome-wide association studies (GWAS) now routinely reveal genetic associations and biological insights in millions of individuals, underrepresentation of global populations, such as those from Polynesia, continue to persist. These exclusions, often driven by logistical challenges and lack of data, prevent systematic identification of population-enriched associations, such as the association of the missense variant at the CREBRF locus to BMI and type 2 diabetes discovered commonly occurring in Polynesian populations due to its rarity in global populations. Armed with the recently updated TOPMed imputation panel that could benefit studies in diverse populations that previously had poorer imputation performance, we performed the first GWAS of Native Hawaiians and Samoans, the largest to date of Polynesian-ancestry populations (combined N up to 8,461) to identify population-enriched associations for 13 adiposity and cardiometabolic traits available across both cohorts: BMI, fasting glucose, fasting insulin, HDL, height, hip circumference, HOMA-IR, LDL, T2D, total cholesterol, triglycerides, waist circumference, and waist-hip ratio. We found 25 trait-loci associations that met genome-wide significance: 20 previously reported or known associations and 5 putatively new associations via meta-analysis. In particular, with improved statistical power, we were able to confirm the previously suggestive association between the missense CREBRF variant with fasting glucose levels. The remaining 4 potentially novel loci-trait associations for BMI, LDL, and waist-hip ratio, however, were not replicated in All-of-Us. The lack of Polynesian-enriched findings outside of the CREBRF locus informs the bounds of the effect sizes or frequencies of any enriched variants and suggests that further expansion of cohort sizes from this region of the world and improved imputation references specific to these populations are needed to identify more population-enriched associations. Author summary: Understudied populations, like those from the Pacific Islands, are often excluded from large-scale human genetic studies due to small cohort sizes and unique study considerations, resulting in a growing disparity of benefits compared to well-studied groups. Although Polynesian-ancestry individuals remain underrepresented, recent updates to publicly available genomic resources such as one provided by the TOPMed initiative provide a renewed potential to map Polynesian-enriched variants for association with complex traits. We leveraged these resources to conduct the largest GWAS in Polynesian-ancestry individuals to date in up to 8,461 individuals, combining Native Hawaiian and Samoan cohorts for the first time. Across 13 adiposity and cardiometabolic traits, we identified 775 significant variant-trait associations at 25 loci, including five putative and 20 previously established loci-trait associations. Notably, we illustrated the effects of the Polynesian-enriched CREBRF missense variant on multiple traits but failed to replicate four other potentially novel associations for BMI, LDL, and waist-hip ratio. Our results help define the realistic bounds of associations disproportionately impacting these populations and underscore the need for further increased representation to identify more population-enriched genetic risk factors.
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BibTeX
@article{dinh2026metaanalysis,
title = {{Meta-analysis of over 8,000 individuals from Hawai‘i and Samoa for genetic associations to cardiometabolic phenotypes}},
author = {Bryan L. Dinh and Xinran Wang and Xin Sheng and Peggy Wan and Amit Kumar Srivastava and Take Naseri and Satupa‘itea Viali and The Samoan Obesity, Lifestyle and Genetic Adaptations (OLaGA) Study Group and Lynne R. Wilkens and Loïc Le Marchand and Christopher A. Haiman and Daniel E. Weeks and Charleston W. K. Chiang and Jenna C. Carlson},
journal = {PLOS Genetics},
year = {2026},
month = oct,
doi = {10.1371/journal.pgen.1012342},
url = {https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1012342},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Meta-analysis of over 8,000 individuals from Hawai‘i and Samoa for genetic associations to cardiometabolic phenotypes
AU - Bryan L. Dinh
AU - Xinran Wang
AU - Xin Sheng
AU - Peggy Wan
AU - Amit Kumar Srivastava
AU - Take Naseri
AU - Satupa‘itea Viali
AU - The Samoan Obesity, Lifestyle and Genetic Adaptations (OLaGA) Study Group
AU - Lynne R. Wilkens
AU - Loïc Le Marchand
AU - Christopher A. Haiman
AU - Daniel E. Weeks
AU - Charleston W. K. Chiang
AU - Jenna C. Carlson
PY - 2026
DA - 2026/10/21
JO - PLOS Genetics
DO - 10.1371/journal.pgen.1012342
UR - https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1012342
AB - Although genome-wide association studies (GWAS) now routinely reveal genetic associations and biological insights in millions of individuals, underrepresentation of global populations, such as those from Polynesia, continue to persist. These exclusions, often driven by logistical challenges and lack of data, prevent systematic identification of population-enriched associations, such as the association of the missense variant at the CREBRF locus to BMI and type 2 diabetes discovered commonly occurring in Polynesian populations due to its rarity in global populations. Armed with the recently updated TOPMed imputation panel that could benefit studies in diverse populations that previously had poorer imputation performance, we performed the first GWAS of Native Hawaiians and Samoans, the largest to date of Polynesian-ancestry populations (combined N up to 8,461) to identify population-enriched associations for 13 adiposity and cardiometabolic traits available across both cohorts: BMI, fasting glucose, fasting insulin, HDL, height, hip circumference, HOMA-IR, LDL, T2D, total cholesterol, triglycerides, waist circumference, and waist-hip ratio. We found 25 trait-loci associations that met genome-wide significance: 20 previously reported or known associations and 5 putatively new associations via meta-analysis. In particular, with improved statistical power, we were able to confirm the previously suggestive association between the missense CREBRF variant with fasting glucose levels. The remaining 4 potentially novel loci-trait associations for BMI, LDL, and waist-hip ratio, however, were not replicated in All-of-Us. The lack of Polynesian-enriched findings outside of the CREBRF locus informs the bounds of the effect sizes or frequencies of any enriched variants and suggests that further expansion of cohort sizes from this region of the world and improved imputation references specific to these populations are needed to identify more population-enriched associations. Author summary: Understudied populations, like those from the Pacific Islands, are often excluded from large-scale human genetic studies due to small cohort sizes and unique study considerations, resulting in a growing disparity of benefits compared to well-studied groups. Although Polynesian-ancestry individuals remain underrepresented, recent updates to publicly available genomic resources such as one provided by the TOPMed initiative provide a renewed potential to map Polynesian-enriched variants for association with complex traits. We leveraged these resources to conduct the largest GWAS in Polynesian-ancestry individuals to date in up to 8,461 individuals, combining Native Hawaiian and Samoan cohorts for the first time. Across 13 adiposity and cardiometabolic traits, we identified 775 significant variant-trait associations at 25 loci, including five putative and 20 previously established loci-trait associations. Notably, we illustrated the effects of the Polynesian-enriched CREBRF missense variant on multiple traits but failed to replicate four other potentially novel associations for BMI, LDL, and waist-hip ratio. Our results help define the realistic bounds of associations disproportionately impacting these populations and underscore the need for further increased representation to identify more population-enriched genetic risk factors.
SN - 1553-7404
SN - 1553-7390
ER -