ArticleCell genomics2024
A genome-wide association study of neonatal metabolites.
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.
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Who cites it
4 citing papers in PubMed.
- Polygenic risk scores for Crohn's disease risk prediction in a Chinese population: insights from multi-ethnic genome-wide association studies.European journal of medical research · 2026Article
- Cell-free DNA as a potential alternative to genomic DNA in genetic studies.NAR genomics and bioinformatics · 2025Article
- Multi-organ metabolome biological age implicates cardiometabolic conditions and mortality risk.Nature communications · 2025Article
- Utilizing non-invasive prenatal test sequencing data for human genetic investigation.Cell genomics · 2024Article
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Authors and funding
21 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Genetic factors significantly influence the concentration of metabolites in adults. Nevertheless, the genetic influence on neonatal metabolites remains uncertain. To bridge this gap, we employed genotype imputation techniques on large-scale low-pass genome data obtained from non-invasive prenatal testing. Subsequently, we conducted association studies on a total of 75 metabolic components in neonates. The study identified 19 previously reported associations and 11 novel associations between single-nucleotide polymorphisms and metabolic components. These associations were initially found in the discovery cohort (8,744 participants) and subsequently confirmed in a replication cohort (19,041 participants). The average heritability of metabolic components was estimated to be 76.2%, with a range of 69%-78.8%. These findings offer valuable insights into the genetic architecture of neonatal metabolism.
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