Evidence map›Paper›PMID 28526729›Full record

ArticleG3 (Bethesda, Md.)2017

Phased Genotyping-by-Sequencing Enhances Analysis of Genetic Diversity and Reveals Divergent Copy Number Variants in Maize.

Heather Manching, Subhajit Sengupta, Keith R Hopper, Shawn W Polson, Yuan Ji, Randall J Wisser

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Genotyping by Sequencing Advancements in Barley.Frontiers in plant science · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Modeling copy number variation in the genomic prediction of maize hybrids.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019
    Article
  9. Review
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Heather ManchingDepartment of Plant and Soil Sciences, University of Delaware, Newark, Delaware 19716.
Subhajit SenguptaProgram of Computational Genomics and Medicine, North Shore University Health System, Evanston, Illinois 60201.
Keith R HopperBeneficial Insect Introductions Research Unit, United States Department of Agriculture, Agricultural Research Service, Newark, Delaware 19713.
Shawn W PolsonCenter for Bioinformatics and Computational Biology, Delaware Biotechnology Institute, University of Delaware, Newark, Delaware 19711.
Yuan JiProgram of Computational Genomics and Medicine, North Shore University Health System, Evanston, Illinois 60201.
Randall J WisserDepartment of Plant and Soil Sciences, University of Delaware, Newark, Delaware 19716 rjw@udel.edu.
NorthShore University HealthSystem · USUniversity of Delaware · USBiotechnology Institute · USUnited States Department of Agriculture · US

Funding

Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in DelawareP20GM103446 · NIGMS · UNIVERSITY OF DELAWARE · PI MELINDA K DUNCAN · 2012 to 2026
$67.2M
Bayesian models for cancer prognosis by integrating diverse types of dataR01CA132897 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI JI, YUAN, MUELLER, PETER · 2008 to 2019
$2.1M
NCI NIH HHS R01 CA132897NIGMS NIH HHS P20 GM103446
6 · The paper itself

Abstract

High-throughput sequencing (HTS) of reduced representation genomic libraries has ushered in an era of genotyping-by-sequencing (GBS), where genome-wide genotype data can be obtained for nearly any species. However, there remains a need for imputation-free GBS methods for genotyping large samples taken from heterogeneous populations of heterozygous individuals. This requires that a number of issues encountered with GBS be considered, including the sequencing of nonoverlapping sets of loci across multiple GBS libraries, a common missing data problem that results in low call rates for markers per individual, and a tendency for applicability only in inbred line samples with sufficient linkage disequilibrium for accurate imputation. We addressed these issues while developing and validating a new, comprehensive platform for GBS. This study supports the notion that GBS can be tailored to particular aims, and using

Indexed as

Gene DosageGenetic LociGenetic VariationLinkage DisequilibriumGenome-Wide Association StudyZea mayscopy number variantGBShaplotypeimputationmaizephasing

Identifiers

PMID28526729
PMCPMC5499125
OpenAlexW2616551715

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.