ArticleFrontiers in genetics2019
Genomic Diversity Evaluation of
Article in Frontiers in genetics, 2019. 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.
- Harnessing Genomic Information for Identifying the Geographic Origin of Five North American Tree Species in Trade.Evolutionary applications · 2026Article
- Exon disruptive variants in Populus trichocarpa associated with wood properties exhibit distinct gene expression patterns.The plant genome · 2025Article
- Reassessing the genetic variability of Tectona grandis through high-throughput genotyping: Insights on its narrow genetic base.PloS one · 2023Article
- Advanced Breeding for Biotic Stress Resistance in Poplar.Plants (Basel, Switzerland) · 2022Review
- Review
- Review
- Resequencing and SNP discovery of Amur ide (Leuciscus waleckii) provides insights into local adaptations to extreme environments.Scientific reports · 2021Article
- The population genomics of adaptive loss of function.Heredity · 2021Review
- Genomic basis of white pine blister rust quantitative disease resistance and its relationship with qualitative resistance.The Plant journal : for cell and molecular biology · 2020Article
- Modern Strategies to Assess and Breed Forest Tree Adaptation to Changing Climate.Frontiers in plant science · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies are powerful tools to elucidate the genome-to-phenome relationship. In order to explain most of the observed heritability of a phenotypic trait, a sufficient number of individuals and a large set of genetic variants must be examined. The development of high-throughput technologies and cost-efficient resequencing of complete genomes have enabled the genome-wide identification of genetic variation at large scale. As such, almost all existing genetic variation becomes available, and it is now possible to identify rare genetic variants in a population sample. Rare genetic variants that were usually filtered out in most genetic association studies are the most numerous genetic variations across genomes and hold great potential to explain a significant part of the missing heritability observed in association studies. Rare genetic variants must be identified with high confidence, as they can easily be confounded with sequencing errors. In this study, we used a pre-filtered data set of 1,014 pure
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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.