Evidence map›Paper›PMID 42567929›Full record

ArticleNature medicine2026

Large-scale whole-genome sequencing reveals the landscape and health implications of de novo mutations.

Na Qin, Juncheng Dai, Yue Jiang, Yuan Xie, Hong Lv, Jun Zhou, Xiao Wang, Yangqian Jiang, Jiangbo Du, Yingjia Chen and 20 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature medicine, 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. Review
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

30 authors.

Na Qin *State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.
Juncheng Dai *State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.ORCID http://orcid.org/0000-0002-3909-5671
Yue Jiang *State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.
Yuan Xie *Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Hong Lv *State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.ORCID http://orcid.org/0000-0002-6624-1742
Jun ZhouDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Xiao WangDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Yangqian JiangState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.
Jiangbo DuState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.ORCID http://orcid.org/0000-0002-5717-9385
Yingjia ChenDepartment of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Xianfeng XuDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Lingmin HuDepartment of Reproduction, Changzhou Maternity and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.
Congcong ChenState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.ORCID http://orcid.org/0009-0008-0557-865X
Ziye XuDepartment of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Jiawen ZhuDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Yuhan LiuDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Yu WangDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Ci SongDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Yayun GuState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.
Tao JiangDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Bo XuState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.
Xiumei HanState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.
Yuan LinState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.ORCID http://orcid.org/0000-0001-8961-8971
Qingxia MengState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.
Xiufeng LingState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.
Hongxia MaState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.ORCID http://orcid.org/0000-0002-9821-6955
Guangfu JinState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.ORCID http://orcid.org/0000-0003-0249-5337
Cheng WangState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China. cheng_wang29@njmu.edu.cn.ORCID http://orcid.org/0000-0002-8193-9276
Hongbing ShenState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China. hbshen@njmu.edu.cn.ORCID http://orcid.org/0000-0002-2581-5906
Zhibin HuState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China. zhibin_hu@njmu.edu.cn.ORCID http://orcid.org/0000-0002-8277-5234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

De novo mutations (DNMs) are an important source of congenital diseases. With delayed parenthood and assisted reproductive technology (ART) use increasing, it is essential to elucidate how these reproductive factors influence DNMs and whether resulting mutations influence offspring health. Here we performed whole-genome sequencing of 24,030 individuals from 7,851 parent-offspring families, identifying 390,924 de novo single-nucleotide variants (dnSNVs). Paternal and maternal aging exhibited distinct mutational patterns, with maternal DNM accumulation accelerating at advanced ages. Increased paternal dnSNVs partially accounted for the association between advanced parental age and shorter gestational duration. Moreover, ART showed age-independent, procedure-specific effects: intracytoplasmic sperm injection (ICSI) and ovarian stimulation were associated with increased paternal and maternal dnSNVs, respectively, and ICSI-associated paternal dnSNVs also partially accounted for the association between ICSI and shorter gestational duration. In vitro embryo manipulation was associated with increased early post-zygotic mosaic mutations, particularly C > A substitutions linked to delayed neurocognitive development at 1 year. Collectively, these findings advance understanding of the determinants and consequences of de novo mutagenesis.

Identifiers

PMID42567929

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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.