ArticleGenetic epidemiology2009
Power consequences of linkage disequilibrium variation between populations.
Article in Genetic epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Efficiency of trans-ethnic genome-wide meta-analysis and fine-mapping.European journal of human genetics : EJHG · 2012Pooled it
- Genetic variants on chromosome 1q41 influence ocular axial length and high myopia.PLoS genetics · 2012Pooled it
- Genomewide association study of HLA alloimmunization in previously pregnant blood donors.Transfusion · 2018Trial
- Identifying the Degree of Gene Reuse During Repeated Adaptation.Molecular ecology · 2025Review
- Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding program.Heredity · 2025Article
- Genome-wide mapping of quantitative trait loci in admixed populations using mixed linear model and Bayesian multiple regression analysis.Genetics, selection, evolution : GSE · 2018Article
- Malaria Host Candidate Genes Validated by Association With Current, Recent, and Historical Measures of Transmission Intensity.The Journal of infectious diseases · 2017Article
- Studying the Genetics of Complex Disease With Ancestry-Specific Human Phenotype Networks: The Case of Type 2 Diabetes in East Asian Populations.Genetic epidemiology · 2016Article
- Patterns of linkage disequilibrium of LRRK2 across different races: implications for genetic association studies.PloS one · 2013Article
- Genome-wide association study implicates NDST3 in schizophrenia and bipolar disorder.Nature communications · 2013Article
- Article
- Article
- A Bayesian approach using covariance of single nucleotide polymorphism data to detect differences in linkage disequilibrium patterns between groups of individuals.Bioinformatics (Oxford, England) · 2010Article
- Genome-wide association studies in diverse populations.Nature reviews. Genetics · 2010Review
- Methodological challenges of genome-wide association analysis in Africa.Nature reviews. Genetics · 2010Review
- Singapore Genome Variation Project: a haplotype map of three Southeast Asian populations.Genome research · 2009Article
- Genome-wide comparisons of variation in linkage disequilibrium.Genome research · 2009Article
- Host genetic and epigenetic factors in toxoplasmosis.Memorias do Instituto Oswaldo Cruz · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
We quantify the degree to which LD differences exist in the human genome and investigates the consequences that variations in patterns of LD between populations can have on the power of case-control or family-trio association studies. Although only a small proportion of SNPs show significant LD differences (0.8-5%), these can introduce artificial signals of associations and reduce the power to detect true associations in case-control designs, even when meta-analytic approaches are used to account for stratification. We show that combining trios from different populations in the presence of significant LD differences can adversely affect power even though the number of trios has increased. Our results have implications on genetic studies conducted in populations with substantial population structure and show that the use of meta-analytic approaches or family-based designs to protect Type 1 error does not prevent loss of power due to differences in LD across populations.
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.