Evidence map›Paper›PMID 24972110›Full record

ArticlePloS one2014

A new genotype imputation method with tolerance to high missing rate and rare variants.

Yumei Yang, Qishan Wang, Qiang Chen, Rongrong Liao, Xiangzhe Zhang, Hongjie Yang, Youmin Zheng, Zhiwu Zhang, Yuchun Pan

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Multi-omics Integrative Analysis for Incomplete Data Using WeightedJournal of agricultural, biological, and environmental statistics · 2025
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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

9 authors.

Yumei YangSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Qishan WangSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Qiang ChenSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Rongrong LiaoSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Xiangzhe ZhangSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Hongjie YangNational Animal Husbandry Services, Beijing, China.
Youmin ZhengNational Animal Husbandry Services, Beijing, China.
Zhiwu ZhangInstitute for Genomic Diversity, Cornell University, Ithaca, New York, United States of America; Department of Crop and Soil Science, Washington State University, Pullman, Washington, United States of America.
Yuchun PanSchool of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a novel algorithm, iBLUP, to impute missing genotypes by simultaneously and comprehensively using identity by descent and linkage disequilibrium information. The simulation studies showed that the algorithm exhibited drastically tolerance to high missing rate, especially for rare variants than other common imputation methods, e.g. BEAGLE and fastPHASE. At a missing rate of 70%, the accuracy of BEAGLE and fastPHASE dropped to 0.82 and 0.74 respectively while iBLUP retained an accuracy of 0.95. For minor allele, the accuracy of BEAGLE and fastPHASE decreased to -0.1 and 0.03, while iBLUP still had an accuracy of 0.61.We implemented the algorithm in a publicly available software package also named iBLUP. The application of iBLUP for processing real sequencing data in an outbred pig population was demonstrated.

Indexed as

HaplotypesSoftwareAnimalsPolymorphism, GeneticSensitivity and SpecificitySwine

Identifiers

PMID24972110
PMCPMC4074155

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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.