Evidence map›Paper›PMID 41605898›Full record

ArticleNature communications2026

A comprehensive tandem repeat catalog of the human genome.

Readman Chiu, Indhu-Shree Rajan-Babu, Jan M Friedman, Inanc Birol

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Readman ChiuCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-2215-5535
Indhu-Shree Rajan-BabuDepartment of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-5614-5212
Jan M FriedmanDepartment of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.
Inanc BirolCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada. inanc.birol@ubc.ca.ORCID http://orcid.org/0000-0003-0950-7839

Funding

Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) PJT-169074Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) PJT-169074, DI2-190730
6 · The paper itself

Abstract

With the increasing availability of long-read sequencing data, high-quality human genome assemblies, and software for fully characterizing tandem repeats, genome-wide genotyping of tandem repeat loci on a population scale is becoming more feasible. Such efforts not only expand our knowledge of the tandem repeat landscape in the human genome but also enhance our ability to differentiate pathogenic tandem repeat mutations from benign polymorphisms. To this end, we analyze genome datasets from 272 individuals that employ long-read sequencing technologies. Here, we report a catalog of over 5 million tandem repeat loci, many of which are previously unannotated. Some of these loci are highly polymorphic, and many of them reside within protein-coding sequences.

Indexed as

Genome, HumanTandem Repeat SequencesHumansPolymorphism, GeneticSequence Analysis, DNA

Identifiers

PMID41605898
PMCPMC12855859

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.