Evidence map›Paper›PMID 37431944›Full record

ArticleG3 (Bethesda, Md.)2023

GWLD: an R package for genome-wide linkage disequilibrium analysis.

Rong Zhang, Huaxuan Wu, Yasai Li, Zehang Huang, Zongjun Yin, Cai-Xia Yang, Zhi-Qiang Du

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2023. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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

7 authors.

Rong ZhangCollege of Animal Science, Yangtze University, Jingzhou 434025, Hubei, China.
Huaxuan WuCollege of Animal Science, Yangtze University, Jingzhou 434025, Hubei, China.
Yasai LiCollege of Animal Science, Yangtze University, Jingzhou 434025, Hubei, China.
Zehang HuangCollege of Animal Science, Yangtze University, Jingzhou 434025, Hubei, China.
Zongjun YinCollege of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, Anhui, China.
Cai-Xia YangCollege of Animal Science, Yangtze University, Jingzhou 434025, Hubei, China.
Zhi-Qiang DuCollege of Animal Science, Yangtze University, Jingzhou 434025, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Linkage disequilibrium (LD) analysis is fundamental to the investigation of the genetic architecture of complex traits (e.g. human disease, animal and plant breeding) and population structure and evolution dynamics. However, until now, studies primarily focus on LD status between genetic variants located on the same chromosome. Moreover, genome (re)sequencing produces unprecedented numbers of genetic variants, and fast LD computation becomes a challenge. Here, we have developed GWLD, a parallelized and generalized tool designed for the rapid genome-wide calculation of LD values, including conventional D/D', r2, and (reduced) mutual information (MI and RMI) measures. LD between genetic variants within and across chromosomes can be rapidly computed and visualized in either an R package or a standalone C++ software package. To evaluate the accuracy and speed of LD calculation, we conducted comparisons using 4 real datasets. Interchromosomal LD patterns observed potentially reflect levels of selection intensity across different species. Both versions of GWLD, the R package (https://github.com/Rong-Zh/GWLD/GWLD-R) and the standalone C++ software (https://github.com/Rong-Zh/GWLD/GWLD-C++), are freely available on GitHub.

Indexed as

GenomePolymorphism, Single NucleotideAnimalsGenetic LinkageHumansLinkage DisequilibriumSoftwareC++genome-wide analysislinkage disequilibriummutual informationRcpp packagereduced mutual information

Identifiers

PMID37431944
PMCPMC10468308

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.