ArticleHuman genetics2006
A classical likelihood based approach for admixture mapping using EM algorithm.
Article in Human genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled 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.
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
31 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Detecting fitness epistasis in recently admixed populations with genome-wide data.BMC genomics · 2020Pooled it
- Combined admixture mapping and association analysis identifies a novel blood pressure genetic locus on 5p13: contributions from the CARe consortium.Human molecular genetics · 2011Pooled it
- Large-scale admixture mapping in the All of Us Research Program improves the characterization of cross-population phenotypic differences.Nature communications · 2026Article
- Global and Local Ancestry and its Importance: A Review.Current genomics · 2024Review
- Population Stratification in Genetic Association Studies.Current protocols in human genetics · 2017Review
- Genome-wide survey in African Americans demonstrates potential epistasis of fitness in the human genome.Genetic epidemiology · 2017Article
- Calibrating Population Stratification in Association Analysis.Methods in molecular biology (Clifton, N.J.) · 2017Article
- Variants for HDL-C, LDL-C, and triglycerides identified from admixture mapping and fine-mapping analysis in African American families.Circulation. Cardiovascular genetics · 2015Article
- A Generalized Sequential Bonferroni Procedure for GWAS in Admixed Populations Incorporating Admixture Mapping Information into Association Tests.Human heredity · 2015Article
- Admixture mapping identifies a quantitative trait locus associated with FEV1/FVC in the COPDGene Study.Genetic epidemiology · 2014Article
- Admixture mapping of prostate cancer in African Americans participating in the North Carolina-Louisiana Prostate Cancer Project (PCaP).The Prostate · 2014Article
- An overview of STRUCTURE: applications, parameter settings, and supporting software.Frontiers in genetics · 2013Article
- Variants in CXADR and F2RL1 are associated with blood pressure and obesity in African-Americans in regions identified through admixture mapping.Journal of hypertension · 2012Article
- Human population admixture in Asia.Genomics & informatics · 2012Article
- Power comparison of admixture mapping and direct association analysis in genome-wide association studies.Genetic epidemiology · 2012Article
- Allowing for population stratification in association analysis.Methods in molecular biology (Clifton, N.J.) · 2012Article
- The analysis of ethnic mixtures.Methods in molecular biology (Clifton, N.J.) · 2012Article
- Adjustment for local ancestry in genetic association analysis of admixed populations.Bioinformatics (Oxford, England) · 2011Article
- Mapping of disease-associated variants in admixed populations.Genome biology · 2011Review
- Interrogating local population structure for fine mapping in genome-wide association studies.Bioinformatics (Oxford, England) · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Several disease-mapping methods have been proposed recently, which use the information generated by recent admixture of populations from historically distinct geographic origins. These methods include both classic likelihood and Bayesian approaches. In this study we directly maximize the likelihood function from the hidden Markov Model for admixture mapping using the EM algorithm, allowing for uncertainty in model parameters, such as the allele frequencies in the parental populations. We determined the robustness of the proposed method by examining the ancestral allele frequency estimate and individual marker-location specific ancestry when the data were generated by different population admixture models and no learning sample was used. The proposed method outperforms a widely used Bayesian MCMC strategy for data generated from various population admixture models. The multipoint information content for ancestry was derived based on the map provided by Smith et al. (2004) and the associated statistical power was calculated. We examined the distribution of admixture LD across the genome for both real and simulated data and established a threshold for genome wide significance applicable to admixture mapping studies. The software ADMIXPROGRAM for performing admixture mapping is available from authors.
Indexed as
Identifiers
16896924What 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.