Evidence map›Paper›PMID 36472573›Full record

ArticleGigaScience2022

Open-source benchmarking of IBD segment detection methods for biobank-scale cohorts.

Kecong Tang, Ardalan Naseri, Yuan Wei, Shaojie Zhang, Degui Zhi

Erratum issuedAbstract read
In one paragraph

Article in GigaScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

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

17 citing papers in PubMed.

  1. HiFiMAP: High-resolution fast identity-by-descent mapping test.medRxiv : the preprint server for health sciences · 2026
    Article
  2. A Benchmark of Modern Statistical Phasing Methods.bioRxiv : the preprint server for biology · 2026
    Article
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  8. SPANature communications · 2025
    Article
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  11. Fast and accurate local ancestry inference with Recomb-Mix.bioRxiv : the preprint server for biology · 2024
    Article
  12. Article
  13. Estimating evolutionary and demographic parameters via ARG-derived IBD.bioRxiv : the preprint server for biology · 2024
    Article
  14. Article
  15. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kecong TangDepartment of Computer Science, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0002-8713-2959
Ardalan NaseriSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0002-2747-2193
Yuan WeiDepartment of Computer Science, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0001-7787-9891
Shaojie ZhangDepartment of Computer Science, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0002-4051-5549
Degui ZhiSchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0001-7754-1890

Funding

Scalable methods for identity by descentR01HG010086 · NHGRI · YALE UNIVERSITY · PI Shaojie Zhang, Degui Zhi · 2018 to 2026
$4.9M
Genome Informatics For Biobank-scale DataR56HG011509 · NHGRI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHANG, SHAOJIE, ZHI, DEGUI · 2021 to 2021
$616k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHGRI NIH HHS R01 HG010086NHGRI NIH HHS R56 HG011509
6 · The paper itself

Abstract

In the recent biobank era of genetics, the problem of identical-by-descent (IBD) segment detection received renewed interest, as IBD segments in large cohorts offer unprecedented opportunities in the study of population and genealogical history, as well as genetic association of long haplotypes. While a new generation of efficient methods for IBD segment detection becomes available, direct comparison of these methods is difficult: existing benchmarks were often evaluated in different datasets, with some not openly accessible; methods benchmarked were run under suboptimal parameters; and benchmark performance metrics were not defined consistently. Here, we developed a comprehensive and completely open-source evaluation of the power, accuracy, and resource consumption of these IBD segment detection methods using realistic population genetic simulations with various settings. Our results pave the road for fair evaluation of IBD segment detection methods and provide an practical guide for users.

Indexed as

Biological Specimen BanksHumansbenchmarkingbiobank-scale dataIBD segment detection toolsidentical-by-descent

Identifiers

PMID36472573
PMCPMC9724555

What OpenQuestion holds

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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.