Evidence map›Paper›PMID 42185280›Full record

ArticleNature communications2026

Benchmarking genome choice in functional genomics analyses.

Juan F Macias-Velasco, Xiaoyu Zhuo, Chad Tomlinson, Eddie A Belter, Milinn Kremitzki, Derek Albracht, Tina Lindsay, Xiaoyun Xing, Nina Tekkey, Wenjin Zhang and 10 more

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

20 authors.

Juan F Macias-VelascoDepartment of Genetics, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0000-0003-2827-4647
Xiaoyu ZhuoDepartment of Genetics, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0000-0002-1400-5609
Chad TomlinsonMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0000-0001-9905-6159
Eddie A BelterMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO, USA.
Milinn KremitzkiMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0000-0001-7980-3153
Derek AlbrachtMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO, USA.
Tina LindsayMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO, USA.
Xiaoyun XingDepartment of Genetics, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0000-0002-1045-1775
Nina TekkeyDepartment of Genetics, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0000-0002-7082-1862
Wenjin ZhangDepartment of Genetics, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0000-0002-5979-0102
John E GarzaMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0009-0002-2565-0774
Zheng XuDepartment of Genetics, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0009-0004-9891-0295
Zilan XinDepartment of Genetics, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0009-0000-5229-810X
Qichen FuDepartment of Genetics, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0000-0003-3291-3157
Heather A LawsonDepartment of Genetics, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0000-0002-3550-5485
Nathan O StitzielMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0000-0002-4963-8211
Robert S FultonMcDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO, USA.
Daofeng LiDepartment of Genetics, Washington University School of Medicine, Saint Louis, MO, USA.ORCID http://orcid.org/0000-0001-7492-3703
Human Pangenome Reference Consortium
Ting WangDepartment of Genetics, Washington University School of Medicine, Saint Louis, MO, USA. twang@wustl.edu.ORCID http://orcid.org/0000-0002-6800-242X

Funding

The WashU-UCSC-EBI Human Genome Reference Center."U41HG010972 · NHGRI · WASHINGTON UNIVERSITY · PI Ira M Hall, Heng Li · 2019 to 2026
$24.9M
ELSI Administrative Supplement - Center for Human Reference Genome DiversityU01HG010971 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI EICHLER, EVAN, JARVIS, ERICH D · 2019 to 2023
$18.4M
WashU-Northwestern Genomic Variation and Function Data and Administrative Coordinating CenterU24HG012070 · NHGRI · WASHINGTON UNIVERSITY · PI Ting Wang, Feng Yue · 2021 to 2026
$9.7M
Center for Human Genome Reference DiversityUM1HG010971 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI Robert Mullan Cook-Deegan, Evan Eichler · 2024 to 2026
$8.6M
DECODING THE IMPACT OF TRANSPOSABLE ELEMENTS ON GENE REGULATIONR01HG007175 · NHGRI · WASHINGTON UNIVERSITY · PI WANG, TING · 2014 to 2021
$2.7M
NHGRI NIH HHS R01 HG007175NHGRI NIH HHS U01 HG010971NHGRI NIH HHS U24 HG012070NHGRI NIH HHS U41 HG010972NHGRI NIH HHS UM1 HG010971U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) R01HG007175U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) U24HG012070U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) U41HG010971U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) U41HG010972
6 · The paper itself

Abstract

The human genome reference established a shared coordinate system for genome function, but it is incomplete and not fully representative of human diversity. Here, we benchmark how genome representation and corresponding analytical frameworks for each representation shape functional genomics using chromatin accessibility sequencing (ATAC-seq), RNA sequencing, whole-genome bisulfite sequencing, and chromosome conformation capture (Hi-C) data from lymphoblastoid cell lines derived from five individuals with fully phased genome assemblies. We compare results across hg38, CHM13, the draft human pangenome, and each individual's maternal and paternal assemblies. Because current pipelines and quality control conventions are tuned to hg38, several of these comparisons reflect genome representation in the context of available methods, rather than sequence alone. Individual identity accounts for 57.52-78.47% of total variance in functional estimates, whereas genome choice contributes 0.002-7.85% and sample-by-genome interactions contribute 0.63-5.43%. About 2% of biological signals are detectable only with personal assemblies. Although these effects are modest overall, some biologically important features remain inaccessible to linear references. Consistent with this, graph-based DNA methylation analysis in the human pangenome reveals a non-reference AluY5a insertion within a putative TNKS enhancer at chromosome 8p23.1 that becomes visible and hypermethylated only in the pangenome.

Indexed as

Genome, HumanGenomicsBenchmarkingCell LineChromatinDNA MethylationHumansSequence Analysis, RNAWhole Genome SequencingChromatin

Identifiers

PMID42185280
PMCPMC13389040

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

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.