ArticleAmerican journal of human genetics2004
Linkage analysis of a complex disease through use of admixed populations.
Article in American journal of human genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00005268 (Family Blood Pressure Program - GenNet Network), which is not on this map. Cited by 45 papers, 2 of them syntheses that pooled it.
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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.
Family Blood Pressure Program - GenNet Network
Who cites it
45 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
- Admixture mapping reveals the association between Native American ancestry at 3q13.11 and reduced risk of Alzheimer's disease in Caribbean Hispanics.Alzheimer's research & therapy · 2021Article
- PAMAM: Power analysis in multiancestry admixture mapping.Genetic epidemiology · 2019Article
- A comprehensive survey of models for dissecting local ancestry deconvolution in human genome.Briefings in bioinformatics · 2019Article
- Population structure in Argentina.PloS one · 2018Article
- Article
- Modeling Continuous Admixture Using Admixture-Induced Linkage Disequilibrium.Scientific reports · 2017Article
- Article
- Detecting hybridization using ancient DNA.Molecular ecology · 2016Review
- A Generalized Sequential Bonferroni Procedure for GWAS in Admixed Populations Incorporating Admixture Mapping Information into Association Tests.Human heredity · 2015Article
- The role of local ancestry adjustment in association studies using admixed populations.Genetic epidemiology · 2014Article
- Trans-ethnic genome-wide association studies: advantages and challenges of mapping in diverse populations.Genome medicine · 2014Article
- Inferring ancestry from population genomic data and its applications.Frontiers in genetics · 2014Review
- Generalized admixture mapping for complex traits.G3 (Bethesda, Md.) · 2013Article
- Admixture mapping of coronary artery calcified plaque in African Americans with type 2 diabetes mellitus.Circulation. Cardiovascular genetics · 2013Article
- MaCH-admix: genotype imputation for admixed populations.Genetic epidemiology · 2013Article
- De novo inference of stratification and local admixture in sequencing studies.BMC bioinformatics · 2013Article
- Human population admixture in Asia.Genomics & informatics · 2012Article
- Fast and accurate inference of local ancestry in Latino populations.Bioinformatics (Oxford, England) · 2012Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Linkage disequilibrium arising from the recent admixture of genetically distinct populations can be potentially useful in mapping genes for complex diseases. McKeigue has proposed a method that conditions on parental admixture to detect linkage. We show that this method tests for linkage only under specific assumptions, such as equal admixture in the parental generation and admixture that occurs in a single generation. In practice, these assumptions are unlikely to hold for natural populations, resulting in an inflation of the type I error rate when testing for linkage by this method. In this article, we generalize McKeigue's approach of testing for linkage to allow two different admixture models: (1) intermixture admixture and (2) continuous gene flow. We calculate the sample size required for a genomewide search by this method under different disease models: multiplicative, additive, recessive, and dominant. Our results show that the sample size required to obtain 90% power to detect a putative mutant allele at a genomewide significance level of 5% can usually be achieved in practice if informative markers are available at a density of 2 cM.
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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.