SynthesisPloS one2017
Approaches to detect genetic effects that differ between two strata in genome-wide meta-analyses: Recommendations based on a systematic evaluation.
Synthesis in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 9 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
26 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- Multi-ancestry genome-wide association analyses provide insights into the genetic basis of Hashimoto's thyroiditis.Nature genetics · 2026Pooled it
- Genetic architecture and cross-platform validation of apolipoprotein A-IV concentrations.Genome biology · 2026Pooled it
- Genome-wide association meta-analysis of human olfactory identification discovers sex-specific and sex-differential genetic variants.Nature communications · 2025Pooled it
- Better together against genetic heterogeneity: A sex-combined joint main and interaction analysis of 290 quantitative traits in the UK Biobank.PLoS genetics · 2024Pooled it
- Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis.Genome biology · 2022Pooled it
- Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers.Nature communications · 2022Pooled it
- Differential and shared genetic effects on kidney function between diabetic and non-diabetic individuals.Communications biology · 2022Pooled it
- Meta-GWAS of PCSK9 levels detects two novel loci at APOB and TM6SF2.Human molecular genetics · 2022Pooled it
- Sex-specific and pleiotropic effects underlying kidney function identified from GWAS meta-analysis.Nature communications · 2019Pooled it
- Sugar-Sweetened Beverage Consumption May Modify Associations Between Genetic Variants in the CHREBP (Carbohydrate Responsive Element Binding Protein) Locus and HDL-C (High-Density Lipoprotein Cholesterol) and Triglyceride Concentrations.Circulation. Genomic and precision medicine · 2021Trial
- Kinship Decouple and Phenotype Selection (KDPS): a tool for phenotype-aware decoupling of related subjects.Briefings in bioinformatics · 2025Article
- Differential effects of environmental exposures on clinically relevant endophenotypes between sexes.Scientific reports · 2024Article
- Nuclear and mitochondrial genetic variants associated with mitochondrial DNA copy number.Scientific reports · 2024Article
- Review
- Genome Wide Association Studies of Variant-by-Thiazide Interaction on Lipids Identifies a Novel Low-Density Lipoprotein Cholesterol Locus.Circulation research · 2022Article
- First genome-wide association study of 99 body measures derived from 3-dimensional body scans.Genes & diseases · 2022Article
- Sex-specific genetic modifiers identified susceptibility of cold stored red blood cells to osmotic hemolysis.BMC genomics · 2022Article
- Article
- Sex Differences in the Metabolome of Alzheimer's Disease Progression.Frontiers in radiology · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Genome-wide association meta-analyses (GWAMAs) conducted separately by two strata have identified differences in genetic effects between strata, such as sex-differences for body fat distribution. However, there are several approaches to identify such differences and an uncertainty which approach to use. Assuming the availability of stratified GWAMA results, we compare various approaches to identify between-strata differences in genetic effects. We evaluate type I error and power via simulations and analytical comparisons for different scenarios of strata designs and for different types of between-strata differences. For strata of equal size, we find that the genome-wide test for difference without any filtering is the best approach to detect stratum-specific genetic effects with opposite directions, while filtering for overall association followed by the difference test is best to identify effects that are predominant in one stratum. When there is no a priori hypothesis on the type of difference, a combination of both approaches can be recommended. Some approaches violate type I error control when conducted in the same data set. For strata of unequal size, the best approach depends on whether the genetic effect is predominant in the larger or in the smaller stratum. Based on real data from GIANT (>175 000 individuals), we exemplify the impact of the approaches on the detection of sex-differences for body fat distribution (identifying up to 10 loci). Our recommendations provide tangible guidelines for future GWAMAs that aim at identifying between-strata differences. A better understanding of such effects will help pinpoint the underlying mechanisms.
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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.