Evidence map›Paper›PMID 31152070›Full record

ArticleGenetics2019

HaploBlocker: Creation of Subgroup-Specific Haplotype Blocks and Libraries.

Torsten Pook, Martin Schlather, Gustavo de Los Campos, Manfred Mayer, Chris Carolin Schoen, Henner Simianer

Abstract readEvaluation Study
In one paragraph

Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Genetic dissection of grain yield and correlated proxy traits under suboptimal conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  9. On ARGs, pedigrees, and genetic relatedness matrices.bioRxiv : the preprint server for biology · 2025
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  11. A novel tomato interspecific (Horticulture research · 2024
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  15. Genomic prediction with haplotype blocks in wheat.Frontiers in plant science · 2023
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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

6 authors.

Torsten PookDepartment of Animal Sciences, Animal Breeding and Genetics Group, University of Goettingen, 37075, Germany torsten.pook@uni-goettingen.de.ORCID 0000-0001-7874-8500
Martin SchlatherCenter for Integrated Breeding Research, University of Goettingen, 37075, Germany.
Gustavo de Los CamposDepartments of Epidemiology and Biostatistics and Statistics and Probability, Institute for Quantitative Health Science and Engineering, Michigan State University, Michigan 48824.ORCID 0000-0001-5692-7129
Manfred MayerPlant Breeding, Technical University of Munich School of Life Sciences Weihenstephan, 85354 Freising, Germany.ORCID 0000-0003-2687-8316
Chris Carolin SchoenPlant Breeding, Technical University of Munich School of Life Sciences Weihenstephan, 85354 Freising, Germany.
Henner SimianerDepartment of Animal Sciences, Animal Breeding and Genetics Group, University of Goettingen, 37075, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of haplotype blocks has been shown to be useful in genetics. Fields of application range from the detection of regions under positive selection to statistical methods that make use of dimension reduction. We propose a novel approach ("HaploBlocker") for defining and inferring haplotype blocks that focuses on linkage instead of the commonly used population-wide measures of linkage disequilibrium. We define a haplotype block as a sequence of genetic markers that has a predefined minimum frequency in the population, and only haplotypes with a similar sequence of markers are considered to carry that block, effectively screening a dataset for group-wise identity-by-descent. From these haplotype blocks, we construct a haplotype library that represents a large proportion of genetic variability with a limited number of blocks. Our method is implemented in the associated R-package HaploBlocker, and provides flexibility not only to optimize the structure of the obtained haplotype library for subsequent analyses, but also to handle datasets of different marker density and genetic diversity. By using haplotype blocks instead of single nucleotide polymorphisms (SNPs), local epistatic interactions can be naturally modeled, and the reduced number of parameters enables a wide variety of new methods for further genomic analyses such as genomic prediction and the detection of selection signatures. We illustrate our methodology with a dataset comprising 501 doubled haploid lines in a European maize landrace genotyped at 501,124 SNPs. With the suggested approach, we identified 2991 haplotype blocks with an average length of 2685 SNPs that together represent 94% of the dataset.

Indexed as

Gene LibraryHaplotypesAlgorithmsAnimalsComputational BiologyDatasets as TopicGenetic LinkageGenetic MarkersHumansModels, GeneticPolymorphism, Single NucleotideZea maysGenetic Markershaplotype blockshaplotype librariesidentity-by-descentpopulation geneticsR-packageselection signatures

Identifiers

PMID31152070
PMCPMC6707469

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Registered trials

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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.