ReviewFrontiers in genetics2021
An Overview of Strategies for Detecting Genotype-Phenotype Associations Across Ancestrally Diverse Populations.
Review in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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
11 citing papers in PubMed.
- Modelling Acral Melanoma in Admixed Brazilians Uncovers Genomic Drivers and Targetable Pathways.medRxiv : the preprint server for health sciences · 2025Article
- The Relative Roles of Selection and Drift in the Chaffinch Radiation (Aves:Ecology and evolution · 2025Article
- Influence ofCanadian journal of psychiatry. Revue canadienne de psychiatrie · 2024Article
- The Inclusion of Underrepresented Populations in Cardiovascular Genetics and Epidemiology.Journal of cardiovascular development and disease · 2024Review
- A Polygenic Risk Score for Predicting Racial and Genetic Susceptibility to Prurigo Nodularis.The Journal of investigative dermatology · 2023Article
- Genetic determinants of Biofilm formation of Helicobacter pylori using whole-genome sequencing.BMC microbiology · 2023Article
- Impact of cross-ancestry genetic architecture on GWASs in admixed populations.American journal of human genetics · 2023Article
- Rye: genetic ancestry inference at biobank scale.Nucleic acids research · 2023Article
- Limitations of principal components in quantitative genetic association models for human studies.eLife · 2023Article
- Impact of cross-ancestry genetic architecture on GWAS in admixed populations.bioRxiv : the preprint server for biology · 2023Article
- Effects of CYP2C19 and CYP2D6 gene variants on escitalopram and aripiprazole treatment outcome and serum levels: results from the CAN-BIND 1 study.Translational psychiatry · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Genome-wide association studies (GWAS) have been very successful at identifying genetic variants influencing a large number of traits. Although the great majority of these studies have been performed in European-descent individuals, it has been recognised that including populations with differing ancestries enhances the potential for identifying causal SNPs due to their differing patterns of linkage disequilibrium. However, when individuals from distinct ethnicities are included in a GWAS, it is necessary to implement a number of control steps to ensure that the identified associations are real genotype-phenotype relationships. In this Review, we discuss the analyses that are required when performing multi-ethnic studies, including methods for determining ancestry at the global and local level for sample exclusion, controlling for ancestry in association testing, and post-GWAS interrogation methods such as genomic control and meta-analysis. We hope that this overview provides a primer for those researchers interested in including distinct populations in their studies.
Indexed as
Identifiers
What OpenQuestion holds
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.