Evidence map›Paper›PMID 42765509›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2026

Investigating the Association of Genetic Markers, Previously Identified by Genome-Wide Association Studies, With ACL Rupture in Multiple Cohorts.

Caryn Phipson, Mary-Jessica N Laguette, Paweł Cieszczyk, Krzysztof Ficek, Charlotte K Häger, Eva-Lena Stattin, Kjell G Nilsson, Julian A Feller, Oren Tirosh, Alison V September and 1 more

Abstract read
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 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

11 authors.

Caryn PhipsonHealth through Physical Activity, Lifestyle and Sport Research Center (HPALS), Division of Physiological Sciences, Department of Human Biology, University of Cape Town, Cape Town, South Africa.
Mary-Jessica N LaguetteHealth through Physical Activity, Lifestyle and Sport Research Center (HPALS), Division of Physiological Sciences, Department of Human Biology, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0001-9979-117X
Paweł CieszczykFaculty of Physical Education, Gdańsk University of Physical Education and Sport, Gdańsk, Poland.
Krzysztof FicekFaculty of Physiotherapy, Jerzy Kukuczka Academy of Physical Education in Katowice, Katowice, Poland.
Charlotte K HägerDepartment of Community Medicine and Rehabilitation, Umeå University, Umeå, Sweden.ORCID https://orcid.org/0000-0002-0366-4609
Eva-Lena StattinDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Kjell G NilssonDepartment of Diagnostics and Intervention, Umeå University, Umeå, Sweden.ORCID https://orcid.org/0000-0002-8818-3408
Julian A FellerOrthoSport Victoria Research Unit, Epworth Healthcare, Victoria, Australia.ORCID https://orcid.org/0000-0002-5737-4519
Oren TiroshRMIT University, Melbourne, Australia.
Alison V SeptemberHealth through Physical Activity, Lifestyle and Sport Research Center (HPALS), Division of Physiological Sciences, Department of Human Biology, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-0950-286X
Malcolm CollinsHealth through Physical Activity, Lifestyle and Sport Research Center (HPALS), Division of Physiological Sciences, Department of Human Biology, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-2564-0480

Funding

South African Medical Research Council
6 · The paper itself

Abstract

Several direct-to-consumer genetic tests claim to predict susceptibility to anterior cruciate ligament (ACL) rupture. Although not independently replicated, polymorphisms identified in a genome-wide association study-rs144051132 (T > A), rs186727643 (C > T), and/or rs188099931 (A > G)-have been incorporated into commercial tests to estimate cruciate ligament injury risk. This study aimed to evaluate whether these polymorphisms are associated with ACL rupture across multiple populations. We genotyped 906 clinically diagnosed ACL rupture cases, including 498 non-contact mechanism of injury ruptures (ACL-NC), and 679 controls (CON) from four European ancestry cohorts and a South African mixed-ancestry cohort. No significant differences were observed in genotype distributions between cases and controls in either the European cohorts (rs144051132 CON: 99.3% TT, 0.7% TA; ACL: 99.0% TT, 1.0% TA; rs186727643 CON: 100.0% CC; ACL: 99.9% CC, 0.1% CT or rs188099931 CON: 99.8% AA, 0.2% AG; ACL: 99.4% AA, 0.6% AG) or the mixed-ancestry cohort (rs144051132 CON: 99.0% TT, 1.0% TA; ACL: 97.9% TT, 2.1% TA; rs186727643 CON: 97.1% CC, 2.9% CT; ACL: 94.8% CC, 5.2% CT or rs188099931 CON: 99.0% AA, 1.0% AG; ACL: 100.0% AA). These polymorphisms were not associated with ACL rupture in the studied populations. The study was adequately powered to detect the larger effects previously reported but underpowered to detect the smaller effect reported for rs188099931. These results, as well as the rarity of the minor alleles, do not support the clinical validity of these polymorphisms as markers of ACL rupture risk.

Indexed as

Anterior Cruciate Ligament InjuriesAdultCohort StudiesFemaleGenetic MarkersGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMalePolymorphism, Single NucleotideRuptureSouthern African PeopleWhite PeopleYoung AdultGenetic Markersanterior cruciate ligamentgenetic markersgenetic testinggenome‐wide association studypolymorphism

Identifiers

PMID42765509
PMCPMC13591651

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.