Evidence map›Paper›PMID 39829890›Full record

ArticlebioRxiv : the preprint server for biology2025

Landscape of human protein-coding somatic mutations across tissues and individuals.

Huixin Xu, Rob Bierman, Dayna Akey, Cooper Koers, Troy Comi, Claire McWhite, Joshua M Akey

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

7 authors.

Huixin XuLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton NJ. 08540, USA.ORCID 0000-0003-4098-9901
Rob BiermanLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton NJ. 08540, USA.
Dayna AkeyLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton NJ. 08540, USA.
Cooper KoersLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton NJ. 08540, USA.
Troy ComiLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton NJ. 08540, USA.
Claire McWhiteLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton NJ. 08540, USA.
Joshua M AkeyLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton NJ. 08540, USA.

Funding

Identification and interpretation of introgressed hominin DNA in modern human genomesR01GM110068 · NIGMS · UNIVERSITY OF WASHINGTON · PI AKEY, JOSHUA MICHAEL · 2014 to 2024
$2.6M
Comprehensively assessing human somatic variability and its influence on gene expU01HG007591 · NHGRI · UNIVERSITY OF WASHINGTON · PI AKEY, JOSHUA MICHAEL · 2014 to 2016
$2.3M
NHGRI NIH HHS U01 HG007591NIGMS NIH HHS R01 GM110068
6 · The paper itself

Abstract

Although somatic mutations are fundamentally important to human biology, disease, and aging, many outstanding questions remain about their rates, spectrum, and determinants in apparently healthy tissues. Here, we performed high-coverage exome sequencing on 265 samples from 14 GTEx donors sampled for a median of 17.5 tissues per donor (spanning 46 total tissues). Using a novel probabilistic method tailored to the unique structure of our data, we identified 8,470 somatic variants. We leverage our compendium of somatic mutations to quantify the burden of deleterious somatic variants among tissues and individuals, identify molecular features such as chromatin accessibility that exhibit significantly elevated somatic mutation rates, provide novel biological insights into mutational mechanisms, and infer developmental trajectories based on patterns of multi-tissue somatic mosaicism. Our data provides a high-resolution portrait of somatic mutations across genes, tissues, and individuals.

Indexed as

exomeshumansomatic mosaicismSomatic mutationsvariation

Identifiers

PMID39829890
PMCPMC11741334

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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.