ArticleGenetic epidemiology2020
Transethnic meta-analysis of metabolic syndrome in a multiethnic study.
Article in Genetic epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Transethnic meta-analysis of exome-wide variants identifies new loci associated with male-specific metabolic syndrome.Genes & genomics · 2022Pooled it
- Multi-ethnic GWAS and fine-mapping of glycaemic traits identify novel loci in the PAGE Study.Diabetologia · 2022Pooled it
- Multivariate genomic analysis of 5 million people elucidates the genetic architecture of shared components of the metabolic syndrome.Nature genetics · 2024Article
- A method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data.Nature communications · 2023Article
- Genome-wide association analysis of metabolic syndrome quantitative traits in the GENNID multiethnic family study.Diabetology & metabolic syndrome · 2021Article
- Systematic Review of Genomic Associations with Blood Pressure and Hypertension in Populations with African-Ancestry.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Genome-wide association studies (GWAS) have been used to establish thousands of genetic associations across numerous phenotypes. To improve the power of GWAS and generalize associations across ethnic groups, transethnic meta-analysis methods are used to combine the results of several GWAS from diverse ancestries. The goal of this study is to identify genetic associations for eight quantitative metabolic syndrome (MetS) traits through a meta-analysis across four ethnic groups. Traits were measured in the GENetics of Noninsulin dependent Diabetes Mellitus (GENNID) Study which consists of African-American (families = 73, individuals = 288), European-American (families = 79, individuals = 519), Japanese-American (families = 17, individuals = 132), and Mexican-American (families = 113, individuals = 610) samples. Genome-wide association results from these four ethnic groups were combined using four meta-analysis methods: fixed effects, random effects, TransMeta, and MR-MEGA. We provide an empirical comparison of the four meta-analysis methods from the GENNID results, discuss which types of loci (characterized by allelic heterogeneity) appear to be better detected by each of the four meta-analysis methods in the GENNID Study, and validate our results using previous genetic discoveries. We specifically compare the two transethnic methods, TransMeta and MR-MEGA, and discuss how each transethnic method's framework relates to the types of loci best detected by each method.
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Registered trials
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.