Evidence map›Paper›PMID 36660495›Full record

ArticleInternational journal of molecular epidemiology and genetics2022

Pilot study: genetic distribution of AR, FGF5, SULT1A1 and CYP3A5 polymorphisms in male Mexican population with androgenetic alopecia.

Daniela Martinez-Chapoy, Francisco J Cruz-Arroyo, Francisco D Ancer-Leal, Regina A Rodriguez-Leal, Bianka D Camacho-Zamora, Daniela A Guzman-Sanchez, Nelly A Espinoza-Gonzalez, Lizeth Martinez-Jacobo, Ivan A Marino-Martinez

Open access · greenAbstract read
In one paragraph

Article in International journal of molecular epidemiology and genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 35% of its field
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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Genetic Variation inJournal of personalized medicine · 2026
    Article
  2. Review
  3. OncoTargets and therapy · 2025
    Article
  4. Review
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

9 authors at 4 institutions in 1 country.

Daniela Martinez-ChapoyOmicronLab S.A. de C.V. Monterrey, Nuevo Leon, Mexico.
Francisco J Cruz-ArroyoOmicronLab S.A. de C.V. Monterrey, Nuevo Leon, Mexico.
Francisco D Ancer-LealOmicronLab S.A. de C.V. Monterrey, Nuevo Leon, Mexico.
Regina A Rodriguez-LealOmicronLab S.A. de C.V. Monterrey, Nuevo Leon, Mexico.
Bianka D Camacho-ZamoraOmicronLab S.A. de C.V. Monterrey, Nuevo Leon, Mexico.
Daniela A Guzman-SanchezDermatology Clinic Guadalajara, Jalisco, Mexico.
Nelly A Espinoza-GonzalezCumbres Monterrey Dermatology Center Monterrey, Nuevo Leon, Mexico.
Lizeth Martinez-JacoboUniversidad Autonoma de Nuevo Leon Monterrey, Nuevo Leon, Mexico.
Ivan A Marino-MartinezUniversidad Autonoma de Nuevo Leon Monterrey, Nuevo Leon, Mexico.
University of Monterrey · MXUniversidad Autónoma de Nuevo León · MXSecretaría de Salud de Jalisco · MXUniversidad Metropolitana de Monterrey · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetics is responsible for 80% of androgenetic alopecia (AGA) predisposition. Several single nucleotide polymorphisms (SNPs) have been linked to AGA risk and the metabolism of its first-line therapies. Genotypic and allelic frequencies have not been described in Mexican individuals; therefore, the aim of this study was to describe the genetic distribution of SNPs associated with AGA predisposition and drug metabolism. Using Real Time-PCR, we genotyped SNPs rs4827528 (

Indexed as

Androgenetic alopeciadrug metabolismgenetic distributiongenotypingMexican populationpredisposition

Identifiers

PMID36660495
PMCPMC9845865
OpenAlexW4317567799

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.