Evidence map›Paper›PMID 41765987›Full record

ArticleJournal of human genetics2026

Two-decade trends in prenatal genetic testing in Japan.

Aiko Sasaki, Takahiro Yamada, Haruhiko Sago, Nahoko Shirato, Akihiko Sekizawa, Kenichiro Hata, Hideaki Masuzaki, Yuko Masuzawa, Toshiyuki Yamamoto, Hiroshi Yoshihashi and 8 more

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Article in Journal of human genetics, 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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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Aiko SasakiCenter for Maternal-Fetal, Neonatal and Reproductive Medicine/Center for Medical Genetics, National Center for Child Health and Development, Tokyo, Japan.ORCID http://orcid.org/0000-0003-3099-4619
Takahiro YamadaDivision of Clinical Genetics, Hokkaido University Hospital, Sapporo, Japan. taka0197@med.hokudai.ac.jp.ORCID http://orcid.org/0000-0002-5370-7873
Haruhiko SagoCenter for Maternal-Fetal, Neonatal and Reproductive Medicine/Center for Medical Genetics, National Center for Child Health and Development, Tokyo, Japan.
Nahoko ShiratoDepartment of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, Japan.
Akihiko SekizawaDepartment of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo, Japan.ORCID http://orcid.org/0000-0003-2249-1333
Kenichiro HataDepartment of Human Molecular Genetics, Gunma University Graduate School of Medicine, Maebashi, Japan.
Hideaki MasuzakiSasebo City General Hospital, Sasebo, Japan.
Yuko MasuzawaNiigata College of Nursing, Faculty of Nursing, Niigata, Japan.
Toshiyuki YamamotoInstitute of Medical Genetics, Tokyo Women's Medical University, Tokyo, Japan.ORCID http://orcid.org/0000-0002-9484-3505
Hiroshi YoshihashiDepartment of Clinical Genetics, Tokyo Metropolitan Children's Medical Center, Tokyo, Japan.
Shiro TanakaDepartment of Clinical Biostatistics/Clinical Biostatistics Course, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yuka ShibataDivision of Clinical Genetics, Hokkaido University Hospital, Sapporo, Japan.ORCID http://orcid.org/0000-0003-3752-5946
Kanako Koike FukushimaDepartment of Genetic Counseling, International University of Health and Welfare Graduate School, Tokyo, Japan.ORCID http://orcid.org/0009-0001-5882-1333
Kenjiro KosakiCenter for Medical Genetics, Keio University School of Medicine, Tokyo, Japan.
Shigehito YamadaClinical Genetics Unit, Kyoto University Hospital, Kyoto, Japan.ORCID http://orcid.org/0000-0002-8194-6927
Masakazu NishigakiDepartment of Genetic Counseling, International University of Health and Welfare Graduate School, Tokyo, Japan.ORCID http://orcid.org/0000-0001-7589-6487
Ikuo KonishiKyoto University, Kyoto, Japan.
Hidehiko MiyakeGraduate School of Humanities and Sciences, Ochanomizu University, Tokyo, Japan.ORCID http://orcid.org/0000-0001-7497-0243

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prenatal genetic testing in Japan has undergone major changes over the past 2 decades. Maternal serum screening (MSS), amniocentesis (AC), and chorionic villus sampling (CVS) have been the principal tools used to identify fetal chromosomal abnormalities. Recently, non-invasive prenatal testing (NIPT) has reshaped clinical decision-making. However, updated national-level data capturing trends in conventional prenatal testing methods are limited. We aimed to assess the current landscape of prenatal genetic testing in Japan. To update the national data, we compiled test volumes from five major high-volume laboratories that analysed prenatal genetic tests and conducted a supplemental nationwide questionnaire-based survey on ultrasound (US)-only screening between 2020 and 2023. Over this period, MSS declined from 34,887 cases in 2018 to 25,553 in 2023, AC from 16,454 in 2014 to 5620 in 2023, and CVS from 2149 in 2015 to 1167 in 2023, whereas US-only screening increased slightly to >10,000 cases annually. The chromosomal abnormality detection rate among AC cases increased from 8% during 2006-2014 to 20.0% in 2023, with trisomy 21 comprising 43.6% of the cases. During the same period, the proportion of mothers aged ≥35 years increased from 14.0% in 2003 to 30.4% in 2023, whereas the proportion of national live births decreased by 35.3%. Thus, declining test volumes cannot be attributed solely to demographic changes but also reflect the influence of NIPT uptake, improved pretest risk stratification, and changing reproductive decision-making supported by expanding genetic counselling. This study provides foundational data for future prenatal genetic testing practices and policies in Japan.

Indexed as

Genetic TestingPrenatal DiagnosisAdultAmniocentesisChorionic Villi SamplingChromosome AberrationsFemaleHumansJapanPregnancy

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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.