ArticleBMC proceedings2014
Admixture mapping analysis in the context of GWAS with GAW18 data.
Article in BMC proceedings, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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Who cites it
10 citing papers in PubMed.
- Opportunities and challenges of local ancestry in genetic association analyses.American journal of human genetics · 2025Review
- Joint multi-ancestry and admixed GWAS reveals the complex genetics behind human cranial vault shape.Nature communications · 2023Review
- Article
- Tractor uses local ancestry to enable the inclusion of admixed individuals in GWAS and to boost power.Nature genetics · 2021Article
- Inference of Ancestries and Heterozygosity Proportion and Genotype Imputation in West African Cattle Populations.Frontiers in genetics · 2021Article
- Impact of admixture and ancestry on eQTL analysis and GWAS colocalization in GTEx.Genome biology · 2020Article
- A comprehensive survey of models for dissecting local ancestry deconvolution in human genome.Briefings in bioinformatics · 2019Article
- Performance Gains in Genome-Wide Association Studies for Longitudinal Traits via Modeling Time-varied effects.Scientific reports · 2017Article
- Mapping asthma-associated variants in admixed populations.Frontiers in genetics · 2015Review
- Local and global ancestry inference and applications to genetic association analysis for admixed populations.Genetic epidemiology · 2014Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Admixture mapping is a disease-mapping strategy to identify disease susceptibility variants in an admixed population that is a result of mating between 2 historically separated populations differing in allele frequencies and disease prevalence. With the increasing availability of high-density genotyping data generated in genome-wide association studies, it is of interest to investigate how to apply admixture mapping in the context of the genome-wide association studies and how to adjust for admixture in association tests. In this study, we first evaluated 3 different local ancestry inference methods, LAMP, LAMP-LD, and MULTIMIX. Then we applied admixture mapping analysis based on estimated local ancestry. Finally, we performed association tests with adjustment for local ancestry.
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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.