Evidence map›Paper›PMID 42729299›Full record

ArticleFrontiers in medicine2026

Genomic risk profiling in advanced maternal age: a Tamil Nadu prenatal study.

Sujithra Appavu, Aruni Wilson Santhosh Kumar, Mukinkumar Sonai, Vinoth Appavu

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Article in Frontiers in medicine, 2026. 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

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sujithra AppavuDepartment of Biotechnology, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.
Aruni Wilson Santhosh KumarAmity University, Mumbai, Maharashtra, India.
Mukinkumar SonaiDepartment of Biologics, Life Cell International Private Ltd., Chennai, Tamil Nadu, India.
Vinoth AppavuDepartment of Emergency Medicine, Thanjavur Medical College, Thanjavur, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Advanced maternal age (AMA; > = 35 years) is associated with increased fetal chromosomal risk and is an important indication for invasive prenatal diagnosis. This study evaluates karyotyping and chromosomal microarray analysis (CMA) findings among AMA pregnancies in Tamil Nadu, India. Methods: In this prospective observational study, 2,200 pregnant women aged ≥35 years who underwent amniocentesis between July 2020 and June 2021 were enrolled. Conventional karyotyping was performed in all cases. CMA was performed as a reflex or complementary test when predefined clinical or cytogenetic criteria were present, including ultrasound abnormalities, high-risk screening/NIPT results, abnormal or uncertain karyotype findings, prior adverse pregnancy history suggestive of genetic etiology, parental chromosomal abnormalities, or patient request after counseling. Results: Numerical chromosomal abnormalities were detected in 76/2200 cases (3.5%), and structural abnormalities were detected in 9/2200 cases (0.4%). The total abnormal cytogenetic yield was therefore 85/2200 cases (3.9%) when numerical and structural abnormalities were considered together. Age-stratified analysis showed an increasing trend in chromosomal abnormalities with advancing maternal age, reaching 10.4% in women aged > = 43 years. Cases with additional clinical indications showed higher abnormality rates than simple AMA. CMA was performed in selected cases and contributed to characterization of clinically relevant genomic abnormalities, supporting its role in indicated high-risk AMA pregnancies. Conclusion: The Tamil Nadu cohort provides regional evidence on age-stratified cytogenetic risk in AMA pregnancies and supports the use of clearly defined criteria for integrating CMA with conventional karyotyping in prenatal diagnosis.

Indexed as

advanced maternal ageaneuploidychromosomal microarraygenetic abnormalitiesIndiakaryotypingprenatal diagnosis

Identifiers

PMID42729299
PMCPMC13561931

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