ArticlePloS one2015
Population genomic analysis of 962 whole genome sequences of humans reveals natural selection in non-coding regions.
Article in PloS one, 2015. 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.
- Integrative Genomics Refines Tissues, Candidate Genes and Putative Regulatory Links Involved in the Humic Adaptation of Keystone Freshwater Fish.Molecular ecology · 2025Article
- Evolutionary genetics of skin pigmentation in African populations.Human molecular genetics · 2021Review
- Genomic landscape of the signals of positive natural selection in populations of Northern Eurasia: A view from Northern Russia.PloS one · 2020Article
- Fitness Landscape of the Fission Yeast Genome.Molecular biology and evolution · 2019Article
- Genetic Diversity on the Sex Chromosomes.Genome biology and evolution · 2018Review
- Patterns of shared signatures of recent positive selection across human populations.Nature ecology & evolution · 2018Article
- Sheep genome functional annotation reveals proximal regulatory elements contributed to the evolution of modern breeds.Nature communications · 2018Article
- Practical Approaches for Whole-Genome Sequence Analysis of Heart- and Blood-Related Traits.American journal of human genetics · 2017Article
- A hybrid computational strategy to address WGS variant analysis in >5000 samples.BMC bioinformatics · 2016Article
- Explorations to improve the completeness of exome sequencing.BMC medical genomics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
Abstract
Whole genome analysis in large samples from a single population is needed to provide adequate power to assess relative strengths of natural selection across different functional components of the genome. In this study, we analyzed next-generation sequencing data from 962 European Americans, and found that as expected approximately 60% of the top 1% of positive selection signals lie in intergenic regions, 33% in intronic regions, and slightly over 1% in coding regions. Several detailed functional annotation categories in intergenic regions showed statistically significant enrichment in positively selected loci when compared to the null distribution of the genomic span of ENCODE categories. There was a significant enrichment of purifying selection signals detected in enhancers, transcription factor binding sites, microRNAs and target sites, but not on lincRNA or piRNAs, suggesting different evolutionary constraints for these domains. Loci in "repressed or low activity regions" and loci near or overlapping the transcription start site were the most significantly over-represented annotations among the top 1% of signals for positive selection.
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.