ReviewHuman heredity2008
Review and evaluation of methods correcting for population stratification with a focus on underlying statistical principles.
Review in Human heredity, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Unlocking the genetic code: a comprehensive Genome-Wide association study and gene set enrichment analysis of cell-mediated immunity in chickens.BMC genomics · 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
- Genome-Wide Association Studies of Chemotherapeutic Toxicities: Genomics of Inequality.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017Review
- Genetic psychophysiology: advances, problems, and future directions.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2014Review
- A statistical framework for testing the causal effects of fetal drive.Frontiers in genetics · 2014Article
- Gene-environment interactions in genome-wide association studies: current approaches and new directions.Journal of child psychology and psychiatry, and allied disciplines · 2013Review
- SNPranker 2.0: a gene-centric data mining tool for diseases associated SNP prioritization in GWAS.BMC bioinformatics · 2013Article
- Rare and low frequency variant stratification in the UK population: description and impact on association tests.PloS one · 2012Article
- The utility of mitochondrial and y chromosome phylogenetic data to improve correction for population stratification.Frontiers in genetics · 2012Article
- European American stratification in ovarian cancer case control data: the utility of genome-wide data for inferring ancestry.PloS one · 2012Article
- Capitalizing on admixture in genome-wide association studies: a two-stage testing procedure and application to height in African-Americans.Frontiers in genetics · 2011Article
- An improved delta-centralization method for population stratification.Human heredity · 2011Article
- Common variation in vitamin D pathway genes predicts circulating 25-hydroxyvitamin D Levels among African Americans.PloS one · 2011Article
- Replication of GWAS "Hits" by Race for Breast and Prostate Cancers in European Americans and African Americans.Frontiers in genetics · 2011Article
- Mapping of disease-associated variants in admixed populations.Genome biology · 2011Review
- Principal-component analysis for assessment of population stratification in mitochondrial medical genetics.American journal of human genetics · 2010Article
- Genome-wide association studies in diverse populations.Nature reviews. Genetics · 2010Review
- Genetics in psychiatry: common variant association studies.Molecular autism · 2010Article
- A propensity score approach to correction for bias due to population stratification using genetic and non-genetic factors.Genetic epidemiology · 2009Article
- Article
Corrections and comments
- Commented on by
Authors and funding
6 authors.
Funding
Abstract
When two or more populations have been separated by geographic or cultural boundaries for many generations, drift, spontaneous mutations, differential selection pressures and other factors may lead to allele frequency differences among populations. If these 'parental' populations subsequently come together and begin inter-mating, disequilibrium among linked markers may span a greater genetic distance than it typically does among populations under panmixia [see glossary]. This extended disequilibrium can make association studies highly effective and more economical than disequilibrium mapping in panmictic populations since less marker loci are needed to detect regions of the genome that harbor phenotype-influencing loci. However, under some circumstances, this process of intermating (as well as other processes) can produce disequilibrium between pairs of unlinked loci and thus create the possibility of confounding or spurious associations due to this population stratification. Accordingly, researchers are advised to employ valid statistical tests for linkage disequilibrium mapping allowing conduct of genetic association studies that control for such confounding. Many recent papers have addressed this need. We provide a comprehensive review of advances made in recent years in correcting for population stratification and then evaluate and synthesize these methods based on statistical principles such as (1) randomization, (2) conditioning on sufficient statistics, and (3) identifying whether the method is based on testing the genotype-phenotype covariance (conditional upon familial information) and/or testing departures of the marginal distribution from the expected genotypic frequencies.
Indexed as
Identifiers
What Socratic 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 Socratic graph.