ReviewDong wu xue yan jiu = Zoological research2015
Population genetic studies in the genomic sequencing era.
Review in Dong wu xue yan jiu = Zoological research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Article
- Mitochondrial Haplogroup Classification of Ancient DNA Samples Using Haplotracker.BioMed research international · 2022Article
- Population Genetics of SARS-CoV-2: Disentangling Effects of Sampling Bias and Infection Clusters.Genomics, proteomics & bioinformatics · 2020Article
- A Computational Approach for Modeling the Allele Frequency Spectrum of Populations with Arbitrarily Varying Size.Genomics, proteomics & bioinformatics · 2019Article
- Draft genome of the gayal, Bos frontalis.GigaScience · 2017Article
- Accelerated evolution of constraint elements for hematophagic adaptation in mosquitoes.Dong wu xue yan jiu = Zoological research · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advances in high-throughput sequencing technologies have revolutionized the field of population genetics. Data now routinely contain genomic level polymorphism information, and the low cost of DNA sequencing enables researchers to investigate tens of thousands of subjects at a time. This provides an unprecedented opportunity to address fundamental evolutionary questions, while posing challenges on traditional population genetic theories and methods. This review provides an overview of the recent methodological developments in the field of population genetics, specifically methods used to infer ancient population history and investigate natural selection using large-sample, large-scale genetic data. Several open questions are also discussed at the end of the review.
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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.