Evidence map›Paper›PMID 39010135›Full record

ArticleHuman genomics2024

Post-implantation analysis of genomic variations in the progeny from developing fetus to birth.

Yingming Zheng, Chuanping Lin, Wen-Jing Wang, Liya Wang, Yeqing Qian, Luna Mao, Baohua Li, Lijun Lou, Yuchan Mao, Na Li and 7 more

Abstract read
In one paragraph

Article in Human genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

17 authors.

Yingming Zheng *Department of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, Zhejiang, 310006, China.
Chuanping Lin *Department of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, Zhejiang, 310006, China.
Wen-Jing Wang *BGI Research, Shenzhen, Guangdong, 518083, China.
Liya WangDepartment of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, Zhejiang, 310006, China.
Yeqing QianDepartment of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, Zhejiang, 310006, China.
Luna MaoDepartment of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, Zhejiang, 310006, China.
Baohua LiDepartment of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, Zhejiang, 310006, China.
Lijun LouAffiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang, 322100, China.
Yuchan MaoDepartment of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, Zhejiang, 310006, China.
Na LiDepartment of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, Zhejiang, 310006, China.
Jiayong ZhengDepartment of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, Zhejiang, 310006, China.
Nan JiangReproductive Medical Center, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310003, China.
Chaying HeHangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, Zhejiang, 310008, China.
Qijing WangDepartment of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, Zhejiang, 310006, China.
Qing ZhouBGI Research, Shenzhen, Guangdong, 518083, China.
Fang ChenBGI Research, Shenzhen, Guangdong, 518083, China.
Fan JinDepartment of Reproductive Endocrinology, Key Laboratory of Reproductive Genetics of National Ministry of Education, Women's Reproductive Health Laboratory of Zhejiang Province, Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Hangzhou, Zhejiang, 310006, China. jinfan@zju.edu.cn.

Funding

National Key Research and Development Program of China 2018YFC1004900National Natural Science Foundation of China 82001625National Natural Science Foundation of China 82201843
6 · The paper itself

Abstract

The analysis of genomic variations in offspring after implantation has been infrequently studied. In this study, we aim to investigate the extent of de novo mutations in humans from developing fetus to birth. Using high-depth whole-genome sequencing, 443 parent-offspring trios were studied to compare the results of de novo mutations (DNMs) between different groups. The focus was on fetuses and newborns, with DNA samples obtained from the families' blood and the aspirated embryonic tissues subjected to deep sequencing. It was observed that the average number of total DNMs in the newborns group was 56.26 (54.17-58.35), which appeared to be lower than that the multifetal reduction group, which was 76.05 (69.70-82.40) (F = 2.42, P = 0.12). However, after adjusting for parental age and maternal pre-pregnancy body mass index (BMI), significant differences were found between the two groups. The analysis was further divided into single nucleotide variants (SNVs) and insertion/deletion of a small number of bases (indels), and it was discovered that the average number of de novo SNVs associated with the multifetal reduction group and the newborn group was 49.89 (45.59-54.20) and 51.09 (49.22-52.96), respectively. No significant differences were noted between the groups (F = 1.01, P = 0.32). However, a significant difference was observed for de novo indels, with a higher average number found in the multifetal reduction group compared to the newborn group (F = 194.17, P < 0.001). The average number of de novo indels among the multifetal reduction group and the newborn group was 26.26 (23.27-29.05) and 5.17 (4.82-5.52), respectively. To conclude, it has been observed that the quantity of de novo indels in the newborns experiences a significant decrease when compared to that in the aspirated embryonic tissues (7-9 weeks). This phenomenon is evident across all genomic regions, highlighting the adverse effects of de novo indels on the fetus and emphasizing the significance of embryonic implantation and intrauterine growth in human genetic selection mechanisms.

Indexed as

FetusAdultEmbryo ImplantationFemaleFetal DevelopmentGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingHumansINDEL MutationInfant, NewbornMaleMutationPolymorphism, Single NucleotidePregnancyWhole Genome SequencingDe novo indelsNewbornsSNVWhole-genome sequencing (WGS)

Identifiers

PMID39010135
PMCPMC11247737

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