ArticleEuropean journal of human genetics : EJHG2011
Identification of regions of positive selection using Shared Genomic Segment analysis.
Article in European journal of human genetics : EJHG, 2011. 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
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
10 citing papers in PubMed, 20 citations in OpenAlex.
- Polaris: Polarization of ancestral and derived polymorphic alleles for inferences of extended haplotype homozygosity in human populations.Bioinformatics (Oxford, England) · 2025Article
- Evolutionary genetics of skin pigmentation in African populations.Human molecular genetics · 2021Review
- A Fast and Simple Method for Detecting Identity-by-Descent Segments in Large-Scale Data.American journal of human genetics · 2020Article
- Article
- Novel pedigree analysis implicates DNA repair and chromatin remodeling in multiple myeloma risk.PLoS genetics · 2018Article
- FineMAV: prioritizing candidate genetic variants driving local adaptations in human populations.Genome biology · 2018Article
- Genetic structure, divergence and admixture of Han Chinese, Japanese and Korean populations.Hereditas · 2018Article
- Molecular Population Genetics.Genetics · 2017Review
- Integrating Diverse Types of Genomic Data to Identify Genes that Underlie Adverse Pregnancy Phenotypes.PloS one · 2015Article
- Improving the accuracy and efficiency of identity-by-descent detection in population data.Genetics · 2013Article
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 at 2 institutions in 1 country.
Funding
Abstract
We applied a shared genomic segment (SGS) analysis, incorporating an error model, to identify complete, or near complete, selective sweeps in the HapMap phase II data sets. This method is based on detecting heterozygous sharing across all individuals within a population, to identify regions of sharing with at least one allele in common. We identified multiple interesting regions, many of which are concordant with positive selection regions detected by previous population genetic tests. Others are suggested to be novel regions. Our finding illustrates the utility of SGS as a method for identifying regions of selection, and some of these regions have been proposed to be candidate regions for harboring disease genes.
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.