Evidence map›Paper›PMID 42180338›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Meta-analysis of over 8,000 individuals from Hawai'i and Samoa for genetic associations to cardiometabolic phenotypes.

Bryan L Dinh, Xinran Wang, Xin Sheng, Peggy Wan, Amit Kumar Srivastava, Take Naseri, Satupa'itea Viali, Lynne Wilkens, Loïc Le Marchand, Christopher Haiman and 3 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Bryan L DinhCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Xinran WangCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Xin ShengCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Peggy WanCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Amit Kumar SrivastavaDepartment of Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Take NaseriMinistry of Health, Apia, Samoa.
Satupa'itea VialiOceania University of Medicine, Samoa.
Lynne WilkensPopulation Sciences in the Pacific Program, Cancer Center, University of Hawai'i, Honolulu, Hawai'I, USA.
Loïc Le MarchandPopulation Sciences in the Pacific Program, Cancer Center, University of Hawai'i, Honolulu, Hawai'I, USA.
Christopher HaimanCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.
Daniel E WeeksDepartment of Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Charleston W K ChiangCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-0668-7865
Jenna C CarlsonDepartment of Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-5483-0833

Funding

Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
REPRODUCTIVE AND DEVELOPMENTAL TOXICOLOGY RESEARCHP30ES006096 · NIEHS · UNIVERSITY OF CINCINNATI · PI PINNEY, SUSAN MENGEL · 1992 to 2022
$35.4M
Recruitment and Data CollectionP01CA168530 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI WILKENS, LYNNE R · 2012 to 2016
$19.9M
Integrated cellular, mouse and human research on a novel missense variant influencing adiposity in SamoansR01HL093093 · NHLBI · BROWN UNIVERSITY · PI MCGARVEY, STEPHEN T. · 2009 to 2019
$8.2M
Next Generation Association Studies of Adiposity in Samoans Enhanced by a Samoan-Specific Whole Genome Sequence Reference PanelR01HL133040 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Ryan Lee Minster · 2017 to 2026
$7.5M
Leveraging the Evolutionary History to Improve Identification of Trait-Associated Alleles and Risk Stratification Models in Native HawaiiansR01HG011646 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Charleston Chiang · 2022 to 2026
$4.0M
Epidemiologic Studies of Putative Functional Variation in Multiethnic CohortU01HG007397 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2013 to 2017
$3.7M
GENOME SCAN FOR OBESITY SUSCEPTIBILITY LOCI IN SAMOANSR01DK059642 · NIDDK · BROWN UNIVERSITY · PI MCGARVEY, STEPHEN T. · 2000 to 2004
$2.6M
GENOME SCAN FOR NIDDM SUSCEPTIBILITY GENES AMONG SAMOANSR01DK055406 · NIDDK · UNIVERSITY OF CINCINNATI · PI DEKA, RANJAN · 1998 to 2002
$664k
Genomic resources and references for genetic investigation of an understudied populationF31HG012159 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DINH, BRYAN LY · 2021 to 2024
$143k
GENETICS OF CVD RISK FACTORS IN SAMOANSR01HL052611 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 1995 to 1998
–
ADIPOSITY INSULIN ELECTROLYTES AND SAMOAN BLOOD PRESSURER01AG009375 · NIA · MIRIAM HOSPITAL · PI MCGARVEY, STEPHEN T. · 1990 to 1994
–
NCI NIH HHS P01 CA168530NCI NIH HHS U01 CA164973NHGRI NIH HHS F31 HG012159NHGRI NIH HHS R01 HG011646NHGRI NIH HHS U01 HG007397NHLBI NIH HHS R01 HL052611NHLBI NIH HHS R01 HL093093NHLBI NIH HHS R01 HL133040NIA NIH HHS R01 AG009375NIDDK NIH HHS R01 DK055406NIDDK NIH HHS R01 DK059642NIEHS NIH HHS P30 ES006096
6 · The paper itself

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 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 associations newly confirmed via meta-analysis. In particular, with improved statistical power, we were able to confirm the suspected association between the missense

Identifiers

PMID42180338
PMCPMC13193156

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.