Evidence map›Paper›PMID 41478957›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Whole Genomic Amplification for Detecting Single-Gene Variants Causing Inherited Disease.

Tania Rojas-Pérez, Miguel Ángel Alcántara-Ortigoza, Ariadna González-Del-Ángel, Felipe Camargo-Díaz, Esther López-Bayghen

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Tania Rojas-PérezLaboratorio de Investigación y Diagnóstico Molecular, Instituto de Infertilidad y Genética México SC, INGENES, México City, Mexico.
Miguel Ángel Alcántara-OrtigozaLaboratorio de Biología Molecular, Torre de Investigación. Instituto Nacional de Pediatría, México City, Mexico.
Ariadna González-Del-ÁngelLaboratorio de Biología Molecular, Torre de Investigación. Instituto Nacional de Pediatría, México City, Mexico.
Felipe Camargo-DíazLaboratorio de Investigación y Diagnóstico Molecular, Instituto de Infertilidad y Genética México SC, INGENES, México City, Mexico.
Esther López-BayghenDepartamento de Toxicología, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav), México City, Mexico. ebayghen@cinvestav.mx.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The whole genome amplification (WGA) allows new clinical applications with minimal genetic material, such as in the genetic diagnosis of Mendelian diseases in embryos before implantation (Preimplantation Genetic Test for Mendelian Abnormalities, PGT-M). This approach allows couples to avoid the transmission of Mendelian disease by undergoing assisted reproduction treatment through in vitro fertilization (IVF). First, Preimplantation Genetic Testing for Aneuploidy (PGT-A) is used to identify chromosomal aneuploidies in IVF-generated embryos. Then, or in parallel, euploid embryos can be screened for specific diseases caused by variants in a single gene to achieve the conception of offspring free of a specific monogenic disease.Here, we detail the WGA preparation and two downstream usages: (1) preparation of PCR fragments for Sanger sequencing, exemplifying the diseases we detected for healthy embryo selection and transfer in IVF, and (2) detection of chromosome Y for embryo sex diagnosis.

Indexed as

Genetic Diseases, InbornGenetic TestingNucleic Acid Amplification TechniquesPreimplantation DiagnosisAneuploidyChromosomes, Human, YFemaleFertilization in VitroHumansMalePolymerase Chain ReactionPregnancyAmplificationEmbryoGenomeIn vitro fertilizationMonogenic diseasePGT-APGT-MWGA

Identifiers

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Registered trials

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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.