ArticleMedizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V2023
Male-pattern hair loss: Comprehensive identification of the associated genes as a basis for understanding pathophysiology.
Article in Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparison of single-spin to double-spin platelet-rich plasma centrifugation methods in the treatment of androgenic alopecia: a systematic review and meta-analysis of randomized controlled trials.Frontiers in medicine · 2025Pooled it
- Article
- The Polygenic Architecture of Human Diseases Affecting the Hair Follicle.The Journal of investigative dermatology · 2026Review
- Androgenetic Alopecia in Women: A Narrative Review of Pathophysiology, Clinical Evaluation, and Treatments.American journal of clinical dermatology · 2026Review
- The Genetic Landscape of Androgenetic Alopecia: Current Knowledge and Future Perspectives.Biology · 2026Review
- Use of genetics in the prediction of success in male pattern hair loss therapy and mechanistic studies.Frontiers in pharmacology · 2026Review
- Efficacy and Safety of a Drinkable Nutraceutical in Premenopausal Women with Telogen Effluvium: A 6-Month, Randomized, Multicenter, Double-Blind, Placebo-Controlled Study.Dermatology and therapy · 2026Article
- Androgenetic alopecia.Nature reviews. Disease primers · 2025Review
- Hair Longevity-Evidence for a Multifactorial Holistic Approach to Managing Hair Aging Changes.Journal of clinical medicine · 2025Review
- Article
- Molecular monitoring of short- and long-term transcriptional effects of hair growth stimulating agents.PloS one · 2024Article
- Analysis of 72,469 UK Biobank exomes links rare variants to male-pattern hair loss.Nature communications · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Male-pattern hair loss (MPHL) is a highly heritable and prevalent condition that is characterized by progressive hair loss from the frontotemporal and vertex scalp. This androgen-dependent hair loss may commence during puberty, and up to 80 % of European men experience some degree of MPHL during their lifetime. Current treatment options for MPHL have limited efficacy, and improved understanding of the underlying biological causes is required to facilitate novel therapeutic approaches. To date, molecular genetic studies have identified 389 associated genomic regions, have implicated numerous genes in these regions, and suggested pathways that are likely to contribute to key pathophysiological mechanisms in MPHL. This review provides an overview of the current status of MPHL genetic research. We discuss the most significant achievements, current challenges, and anticipated developments in the field, as well as their potential to advance our understanding of hair (loss) biology, and to improve hair loss prediction and treatment.
Identifiers
What OpenQuestion holds
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.