ArticleFrontiers in genetics2021
Assessing Genomic Diversity and Productivity Signatures in Dianzhong Cattle by Whole-Genome Scanning.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 13 citations in OpenAlex.
- Integrated SNP and SV Analyses Reveal Genetic Mechanisms Underlying High-Altitude Adaptation in Goats.Animals : an open access journal from MDPI · 2026Article
- Integrated selection scans and cis-eQTL analyses reveal genes and variants associated with milk quality, immunity, and adaptation in endangered Dengchuan cattle.BMC genomics · 2026Article
- Population structure, regions of homozygosity (ROH) and selection signal of two domesitic goat breeds revealed by whole-genome resequencing.BMC genomics · 2026Article
- Whole-genome resequencing reveals genetic diversity and selection signatures of Tongjiang and five goat breeds.Frontiers in veterinary science · 2025Article
- Article
- Genomic insights into genetic diversity and seed coat color change in common bean composite populations.Frontiers in plant science · 2024Article
- Identification of Heilongjiang crossbred beef cattle pedigrees and reveals functional genes related to economic traits based on whole-genome SNP data.Frontiers in genetics · 2024Article
- Insertion/Deletion (InDel) Variants within the Sheep Fat-Deposition-RelatedAnimals : an open access journal from MDPI · 2023Article
- Article
- Genome-Wide Selective Analysis of Boer Goat to Investigate the Dynamic Heredity Evolution under Different Stages.Animals : an open access journal from MDPI · 2022Article
- Genomic Diversity and Selection Signatures for Weining Cattle on the Border of Yunnan-Guizhou.Frontiers in genetics · 2022Article
- Whole-Genome Sequencing of Endangered Dengchuan Cattle Reveals Its Genomic Diversity and Selection Signatures.Frontiers in genetics · 2022Article
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 at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dianzhong cattle is a classic Chinese indigenous cattle breed with historical records dating back to 200 BC. But with its genomic differences having not been clearly elucidated, the quest for genomic characterization will be an essential step towards understanding the genomic basis of productivity and adaptation to survival under Chinese farming systems. Here we compared 10 Dianzhong cattle (four newly sequenced and six downloaded) with 29 published genomes of three underlying ancestral populations (Chinese zebu, Indian zebu, and Yanbian cattle) to characterize the genomic variations of Dianzhong cattle. Dianzhong cattle has a high nucleotide diversity (0.0034), second only to Chinese zebu. Together with analyses of linkage disequilibrium decay and runs of homozygosity, Dianzhong cattle displayed higher genomic diversity and weaker artificial selection compared with Yanbian cattle. From a selective sweep analysis by four methods (
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.