Evidence map›Paper›PMID 39389020›Full record

ArticleCell genomics2024

Phenome-wide association study in 25,639 pregnant Chinese women reveals loci associated with maternal comorbidities and child health.

Jintao Guo, Qiwei Guo, Taoling Zhong, Chaoqun Xu, Zhongmin Xia, Hongkun Fang, Qinwei Chen, Ying Zhou, Jieqiong Xie, Dandan Jin and 7 more

Abstract read
In one paragraph

Article in Cell genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

17 authors.

Jintao GuoUnited Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health, Xiamen University, Xiamen 361102, China; National Institute for Data Science in Health and Medicine, School of Medicine, Xiamen University, Xiamen 361102, China; Department of Hematology, School of Medicine, Xiamen University, Xiamen 361102, China; Weifang People's Hospital, Shandong Second Medical University, Shandong 261041, China.
Qiwei GuoUnited Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health, Xiamen University, Xiamen 361102, China.
Taoling ZhongNational Institute for Data Science in Health and Medicine, School of Medicine, Xiamen University, Xiamen 361102, China.
Chaoqun XuNational Institute for Data Science in Health and Medicine, School of Medicine, Xiamen University, Xiamen 361102, China.
Zhongmin XiaUnited Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health, Xiamen University, Xiamen 361102, China.
Hongkun FangNational Institute for Data Science in Health and Medicine, School of Medicine, Xiamen University, Xiamen 361102, China; Weifang People's Hospital, Shandong Second Medical University, Shandong 261041, China.
Qinwei ChenNational Institute for Data Science in Health and Medicine, School of Medicine, Xiamen University, Xiamen 361102, China; Department of Hematology, School of Medicine, Xiamen University, Xiamen 361102, China.
Ying ZhouNational Institute for Data Science in Health and Medicine, School of Medicine, Xiamen University, Xiamen 361102, China.
Jieqiong XieUnited Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health, Xiamen University, Xiamen 361102, China.
Dandan JinUnited Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health, Xiamen University, Xiamen 361102, China.
You YangBGI-Shenzhen, Shenzhen 518103, China.
Xin WuBGI-Shenzhen, Shenzhen 518103, China.
Huanhuan ZhuBGI-Shenzhen, Shenzhen 518103, China.
Ailing HourDepartment of Life Science, Fu-Jen Catholic University, Xinzhuang Dist., New Taipei City 242, Taiwan.
Xin JinBGI-Shenzhen, Shenzhen 518103, China.
Yulin ZhouUnited Diagnostic and Research Center for Clinical Genetics, Women and Children's Hospital, School of Medicine and School of Public Health, Xiamen University, Xiamen 361102, China. Electronic address: zhou_yulin@126.com.
Qiyuan LiDepartment of Pediatrics, School of Medicine, Xiamen University, Xiamen 361102, China; National Institute for Data Science in Health and Medicine, School of Medicine, Xiamen University, Xiamen 361102, China; Department of Hematology, School of Medicine, Xiamen University, Xiamen 361102, China. Electronic address: qiyuan.li@xmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenome-wide association studies (PheWAS) have been less focused on maternal diseases and maternal-newborn comorbidities, especially in the Chinese population. To enhance our understanding of the genetic basis of these related diseases, we conducted a PheWAS on 25,639 pregnant women and 14,151 newborns in the Chinese Han population using ultra-low-coverage whole-genome sequence (ulcWGS). We identified 2,883 maternal trait-associated SNPs associated with 26 phenotypes, among which 99.5% were near established genome-wide association study (GWAS) loci. Further refinement delineated these SNPs to 442 unique trait-associated loci (TALs) predicated on linkage disequilibrium R

Indexed as

Genome-Wide Association StudyPhenotypePolymorphism, Single NucleotideAdultChild HealthChinaComorbidityEast Asian PeopleFemaleHumansInfant, NewbornLinkage DisequilibriumPregnancyPregnancy ComplicationsBig Data analysiselectronic health recordgenome-wide association studyhealth informaticsmaternal-neonatal comorbiditiesnon-invasive prenatal testingphenome-wide association studyultra-low-coverage genome sequence

Identifiers

PMID39389020
PMCPMC11602594

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.