Genetic sequencing strategy for the diagnosis of epidermal differentiation disorders: A cohort study

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Authors

Institutions

Publication Details

Journal
Journal of the European Academy of Dermatology and Venereology
Published
2026-05-28
DOI
https://doi.org/10.1111/jdv.70528
Primary Topic
Skin and Cellular Biology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic sequencing strategy for the diagnosis of epidermal differentiation disorders: A cohort study

Adrienne Elmorjani, Sylvain Hanein, N. Bellon, Cécile Fourrage et al.
Journal of the European Academy of Dermatology and Venereology
Skin and Cellular Biology Research
article

Genetic sequencing strategy for the diagnosis of epidermal differentiation disorders: A cohort study

Adrienne Elmorjani, Sylvain Hanein, N. Bellon, Cécile Fourrage, Fabienne Charbit‐Henrion, C. Deblock, Smail Hadj‐Rabia, and The Network FIMARAD‐MAGEC (Nord et Sud), Christine Bodemer‐Skandalis
article en

Abstract

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Journal of the European Academy of Dermatology and Venereology
Inserm (FR), Université Paris Cité (FR), Institut Necker Enfants Malades (FR), Assistance Publique – Hôpitaux de Paris (FR), Institut des Maladies Génétiques Imagine (FR)
Zero hunger
Openalex Percentile: Top 8%
Skin and Cellular Biology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.