ArticleThe Lancet regional health. Southeast Asia2023
Genetic variants associated with spontaneous preterm birth in women from India: a prospective cohort study.
Article in The Lancet regional health. Southeast Asia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Layers in the sand: The genetic imprint of migration, culture, and Indus craft in the Thar Desert.HGG advances · 2026Article
- Maternal Genetic Variants and Gestational Duration: A Replication Study in a Japanese Cohort.Journal of clinical medicine · 2026Article
- Deciphering mechanisms leading to preterm birth through post-GWAS integration of multi-omics data.iScience · 2025Article
- Barrier genes are associated with preterm birth.Frontiers in medicine · 2025Article
- Review
- Recent Advances in Genomic Studies of Gestational Duration and Preterm Birth.Clinics in perinatology · 2024Review
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
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Abstract
Background: Despite having the highest number of preterm births globally, no genomic study on preterm birth was previously published from India or other South-Asian countries. Methods: We conducted a genome-wide association (GWA) study of spontaneous preterm birth (sPTB) on 6211 women from India. We used a novel resampling procedure to identify the associated single nucleotide polymorphisms (SNPs) followed by haplotype association analysis and imputation. Findings: We found that 512 maternal SNPs were associated with sPTB ( Interpretation: This is the first study from South Asia on the genome-wide identification of maternal SNPs associated with sPTB. These SNPs are known to alter the expression of genes associated with major pathways in sPTB viz. inflammation, apoptosis, cervical ripening, telomere maintenance, selenocysteine biosynthesis, myometrial contraction, and innate immunity. From a public health perspective, the trans-ethnic association of four SNPs identified in our study may help to stratify women with risk of sPTB in most populations. Funding: Department of Biotechnology (India), Grand Challenges India - All Children Thriving Program and Biotechnology Industry Research Assistance Council (BIRAC).
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