Evidence map›Paper›PMID 42681306›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Leveraging Identity-by-Descent for Disease Gene Discovery.

Lyndal Henden

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Lyndal HendenMacquarie Medical School, Faculty of Medicine Health and Human Sciences, Macquarie University, Sydney, Australia. lyndal.henden@mq.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic regions inherited from a common ancestor are said to be identical-by-descent (IBD). These IBD regions, or segments, can be leveraged to aid in the discovery of disease-associated genetic variation in the absence of large cohorts or pedigrees. In this approach, genetic relatedness is established between affected individuals through the detection of IBD segments. Shared segments that segregate with the disease across individuals can then be prioritized as candidate regions for causal or risk variant discovery, offering a targeted strategy for investigating the genetic basis of diseases. This chapter presents a practical workflow for performing IBD analysis for disease mapping in small-to-medium-sized cohorts using a simulated genomic dataset.

Indexed as

Computational BiologyGenetic Predisposition to DiseaseGenomicsChromosome MappingGenome-Wide Association StudyHumansPedigreePolymorphism, Single NucleotideBioinformaticsDisease gene mappingGenomicsIdentical-by-descentSingle nucleotide polymorphisms

Identifiers

PMID42681306

What OpenQuestion holds

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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.