Evidence map›Paper›PMID 30218074›Full record

ArticleNature communications2018

Extremely rare variants reveal patterns of germline mutation rate heterogeneity in humans.

Jedidiah Carlson, Adam E Locke, Matthew Flickinger, Matthew Zawistowski, Shawn Levy, Richard M Myers, Michael Boehnke, Hyun Min Kang, Laura J Scott, Jun Z Li and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 1 pooled it
–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

94 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Effect of methylation on genome mutability in cattle.Genetics, selection, evolution : GSE · 2026
    Article
  4. Extended sequence context shapes mutational bias inProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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  12. Methylation-associated mutagenesis underlies variation in the mutation spectrum across eukaryotes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. De novo rates of aProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  18. Article
  19. Article
  20. Review

34 more citing papers are in PubMed but not listed here.

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

12 authors.

Jedidiah CarlsonDepartment of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA.
Adam E LockeMcDonnell Genome Institute & Department of Medicine, Washington University, St. Louis, MO, 63108, USA.ORCID http://orcid.org/0000-0001-6227-198X
Matthew FlickingerDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA.
Matthew ZawistowskiDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-3005-083X
Shawn LevyHudsonAlpha Institute for Biotechnology, Huntsville, AL, 35806, USA.ORCID http://orcid.org/0000-0002-1369-5740
Richard M MyersHudsonAlpha Institute for Biotechnology, Huntsville, AL, 35806, USA.
Michael BoehnkeDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-6442-7754
Hyun Min KangDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA.
Laura J ScottDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA.
Jun Z LiDepartment of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, 48109, USA. junzli@med.umich.edu.
Sebastian ZöllnerDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA. szoellne@umich.edu.
BRIDGES Consortium

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Genomic Psychiatry CohortR01MH085548 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PATO, CARLOS N, PATO, MICHELE T · 2008 to 2012
$16.3M
Whole Genome Sequencing for Schizophrenia and Bipolar Disorder in the GPCU01MH105653 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2014 to 2018
$2.8M
Computational Efficient Statistical Tools for Analyzing Substance Dependence Sequencing DataR01DA043501 · NIDA · UNIVERSITY OF FLORIDA · PI LU, QING · 2017 to 2021
$2.1M
1/2-Whole Genome and Exome Sequencing for Bipolar DisorderR01MH094145 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2011 to 2013
$2.0M
High-resolution map of human germline mutation patterns and inference of mutagenic mechanismsR01GM118928 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LI, JUN, ZOELLNER, SEBASTIAN · 2016 to 2019
$1.2M
Methods and Software for High-dimensional Risk Prediction ResearchR01LM012848 · NLM · UNIVERSITY OF FLORIDA · PI LU, QING · 2018 to 2021
$1.2M
NHGRI NIH HHS T32 HG000040NIDA NIH HHS R01 DA043501NIDDK NIH HHS P30 DK020572NIGMS NIH HHS R01 GM118928NIMH NIH HHS R01 MH085548NIMH NIH HHS R01 MH094145NIMH NIH HHS U01 MH105653NLM NIH HHS R01 LM012848U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01GM118928U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01MH094145U.S. Department of Health & Human Services | National Institutes of Health (NIH) T32HG00040U.S. Department of Health & Human Services | National Institutes of Health (NIH) U01MH105653
6 · The paper itself

Abstract

A detailed understanding of the genome-wide variability of single-nucleotide germline mutation rates is essential to studying human genome evolution. Here, we use ~36 million singleton variants from 3560 whole-genome sequences to infer fine-scale patterns of mutation rate heterogeneity. Mutability is jointly affected by adjacent nucleotide context and diverse genomic features of the surrounding region, including histone modifications, replication timing, and recombination rate, sometimes suggesting specific mutagenic mechanisms. Remarkably, GC content, DNase hypersensitivity, CpG islands, and H3K36 trimethylation are associated with both increased and decreased mutation rates depending on nucleotide context. We validate these estimated effects in an independent dataset of ~46,000 de novo mutations, and confirm our estimates are more accurate than previously published results based on ancestrally older variants without considering genomic features. Our results thus provide the most refined portrait to date of the factors contributing to genome-wide variability of the human germline mutation rate.

Indexed as

Evolution, MolecularGenetic VariationMutation RateBase CompositionCpG IslandsCytosineDeoxyribonucleasesDNA MethylationGenome, HumanGerm-Line MutationGuanineHistone CodeHumansPolymorphism, Single NucleotideCytosineDeoxyribonucleasesGuanine

Identifiers

PMID30218074
PMCPMC6138700

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.