Evidence map›Paper›PMID 42856920›Full record

ReviewFrontiers in systems biology2026

Decoding endurance performance: integrative genomic and epigenetic insights into the molecular basis of athletic adaptation.

Arij El Haddouchi, Amina Marrouh, Souad Kartti, Elmostafa El Fahime, Saber Boutayeb, Younes Chagar, Christophe Baudot, Lahcen Belyamani, Rachid Eljaoudi, Taoufiq Dakka

Abstract readReview
In one paragraph

Review in Frontiers in systems biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Arij El HaddouchiInterdisciplinary Laboratory of Biotechnology and Health, Mohammed VI Higher Institute of Biosciences and Biotechnology, Mohammed VI University of Sciences and Health (UM6SS), Casablanca, Morocco.
Amina MarrouhMohammed VI University of Sciences and Health, Morocco - UM6SS, Casablanca, Morocco.
Souad KarttiMohammed VI University of Sciences and Health, Morocco - UM6SS, Casablanca, Morocco.
Elmostafa El FahimeMohammed VI University of Sciences and Health, Morocco - UM6SS, Casablanca, Morocco.
Saber BoutayebMohammed VI University of Sciences and Health, Morocco - UM6SS, Casablanca, Morocco.
Younes ChagarSports and Health Unit, Mohammed VI Foundation of Science and Health (FM6SS), Rabat, Morocco.
Christophe BaudotSports and Health Unit, Mohammed VI Foundation of Science and Health (FM6SS), Rabat, Morocco.
Lahcen BelyamaniMohammed VI University of Sciences and Health, Morocco - UM6SS, Casablanca, Morocco.
Rachid EljaoudiMohammed VI University of Sciences and Health, Morocco - UM6SS, Casablanca, Morocco.
Taoufiq DakkaMohammed VI University of Sciences and Health, Morocco - UM6SS, Casablanca, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Applied genomics in sports performance has rapidly evolved into a multidisciplinary field aimed at elucidating the biological determinants of complex athletic traits, particularly endurance. Endurance performance represents a highly polygenic and multifactorial phenotype, shaped by the dynamic interplay between genetic predisposition and training-induced adaptations. This review provides a comprehensive synthesis of evidence from candidate gene studies, genome-wide association studies (GWAS), and meta-analyses to identify genetic variants consistently associated with endurance-related phenotypes. GWAS and candidate gene approaches have identified over 44 polymorphisms relevant to endurance-oriented sports, with

Indexed as

athletesendurance athlete statusepigeneticsgenetic variantsMicroRNAs

Identifiers

PMID42856920
PMCPMC13650432

What OpenQuestion holds

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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.