ArticleClinical and translational medicine2024
Noninvasive detection of twin zygosity using genome-wide linkage disequilibrium information.
Article in Clinical and translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Noninvasive detection of twin zygosity using genome-wide linkage disequilibrium information.Clinical and translational medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Dear Editor, in this study, we propose a novel linkage disequilibrium information-based noninvasive zygosity (LDNZ) assessment method in twin pregnancies. It combines fetus-specific allele frequency analysis with LD block to reduce the number of required single nucleotide polymorphism markers and experiment costs. LDNZ method offers a noninvasive, accurate, and cost-effective solution for zygosity assessment, addressing the need for precise obstetric care in twin pregnancies.
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Registered trials
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.