Screening and Predictive Biomarkers for Down Syndrome Through Amniotic Fluid Metabolomics
Our results underscore the potential of metabolomics approaches in identifying concise and reliable biomarker combinations that demonstrate promising screening performance in DS.
Authors
- Yeqing Jiang (ORCID: https://orcid.org/0000-0001-7558-917X)
- Juan Cao (ORCID: https://orcid.org/0000-0003-3413-6988)
- C Chen
- Danyan Zhuang
- Ying Zhou (ORCID: https://orcid.org/0000-0001-9241-1293)
- Ling Tian (ORCID: https://orcid.org/0000-0002-6670-3062)
- Lulu Yan (ORCID: https://orcid.org/0000-0003-0517-2269)
- Qiong Li (ORCID: https://orcid.org/0000-0001-9044-0074)
- Li‐Chao Zhang
- Haibo Li (ORCID: https://orcid.org/0000-0002-9309-6632)
- Yuxin Zhang (ORCID: https://orcid.org/0000-0003-1232-4099)
- Zhen Yang (ORCID: https://orcid.org/0000-0002-7011-3970)
- Shanshan Wu (ORCID: https://orcid.org/0009-0007-9695-8051)
- Xiaofan Yang (ORCID: https://orcid.org/0000-0002-0997-0973)
Institutions
- BGI Group (China) (CN)
- Ningbo University (CN)
- Fudan University (CN)
- Ningbo University Affiliated Hospital (CN)
- BGI Genomics
Publication Details
- Journal
- Prenatal Diagnosis
- Published
- 2024-10-31
- DOI
- https://doi.org/10.1002/pd.6693
- Citations
- 2
- Primary Topic
- Down syndrome and intellectual disability research
- Type
- article
- Field-Weighted Citation Impact
- 1.09