Are Some Twins Born Elite Athletes?

TwinPare Research Published research article

What twin research reveals about genes, training, and human performance

Authors
Thomas Byman & Tobias Byman TwinPare Research
Category
Research / Health & Fitness
Language
English
Status
Published
Source status
Sources reviewed for publication
Last reviewed
2026-06-14
Reading time
10 min read
Two twin sisters running toward the finish line in different positions

Imagine two identical twins who start the same sport. They share essentially the same DNA, grow up in the same family, and perhaps get the same first coach. Yet after a few years, it is one of them who runs faster, recovers better, or earns a place on the elite team.

If the genes are so alike, why do the results not come out identical? And if one of them reaches world level — was she born to it, or was the performance created through training and opportunity?

Research offers no dramatic yes or no. Genetic differences can contribute to physical characteristics and training responses, but elite performance is a complex result of many biological and social factors. No single gene can tell us who becomes a champion.

Key takeaways

  • Physical performance is multifactorial: many genetic variants may contribute alongside training, environment, and experience.
  • There is no verified single "elite athlete gene" that can predict who reaches the top.
  • ACTN3 is sometimes simplified as the "sprinting gene", but one variant is neither necessary nor sufficient for elite performance.
  • STRUETH shows that training responses vary between individuals and training modes, but does not explain exactly why or who can become an elite athlete.
  • The primary review for this article is used within clear bounds and supported by verified training-response sources; the article makes no genetic predictions.

The myth of the born champion

We love stories of natural talents: the child who seems to understand the game immediately, or the runner who is fast before training becomes serious. Such stories make it tempting to say the winner was "born for it".

But an early advantage is not the same as a completed elite career. Access to coaching, economics, culture, motivation, injuries, recovery, and the opportunity to keep going over many years can all reshape the entire journey.

The question is therefore not just how much genes matter. It is how biological predispositions interact with everything that happens after birth.

Is there an elite athlete gene?

The cautious conclusion is no. The critical review describes physical performance as a complex, multifactorial area in which individual candidate genes have not provided a simple explanation.

Characteristics that may be relevant to sport — such as body height, build, aerobic capacity, strength, and training response — are themselves complex. Different sports also require different combinations.

Finding a genetic association with a performance measure is not the same as finding a gene that creates elite athletes. Associations may be small, population-dependent, or difficult to replicate.

ACTN3 and why genetics is not simple

ACTN3 is one of the most discussed genes in sports genetics and is sometimes labelled the "sprinting gene". That nickname is easy to remember — and easy to misinterpret.

A genetic variant may be more common in certain groups or linked to a biological sub-measure without determining who becomes an elite athlete. Elite performance requires far more characteristics than a single muscle-related mechanism.

This article therefore does not use ACTN3 to rank people, recommend sports, or predict talent. Precise variant and effect claims await additional verified primary sources and current reviews.

Why twins matter for performance research

Twin studies can help researchers estimate how variation in a performance measure is associated with genetic and environmental differences at the group level. Identical twins share essentially the same DNA sequence, while fraternal twins share on average less.

But a heritability estimate says nothing definitive about an individual's potential. It can also change between populations, ages, sexes, training environments, and ways of measuring performance.

This article therefore uses no general intervals such as "40 to 80 percent". Any such figure must be tied to a specific trait, population, and model before it can be used.

What the research actually shows

The primary candidate review supports a cautious picture: genetic factors can contribute to variation in physical performance, but candidate gene findings have been inconsistent and the field has moved toward more complex models.

The verified STRUETH studies meanwhile show that untrained twins could respond differently to resistance and endurance training. The response depended on which outcome and which training mode the researchers studied.

Together, this does not support the idea of a ready-made champion at birth. It supports the idea that both biological variation and training environment need to be part of the explanation.

What the research does not show

The sources do not show who will become an elite athlete. Nor do they show that a certain genetic profile guarantees speed, strength, endurance, or success.

They do not show that identical twins should reach the same level. Injuries, training history, psychological factors, coaching, resources, and random life events can differ even between twins.

This article gives no basis for genetic home testing, talent selection of children, or personal training advice. Such decisions require entirely different evidence and ethical review.

Two twin sisters crossing a finish line together after a race

Talent without training is only potential

Innate characteristics may influence the starting point or how easily certain things feel. But potential does not become performance on its own.

Long-term development requires the opportunity to train, competent coaching, recovery, motivation, and a body that stays healthy enough to keep going. These factors can amplify, limit, or redirect an early advantage.

That does not mean hard work always overcomes all biological differences. It means genes and training are not two opponents — performance grows from their interplay with the whole environment around the athlete.

Why the same training can produce different results

In STRUETH, participants completed separate periods of resistance and endurance training in a randomised crossover design. Researchers saw different responses depending on the individual, the training mode, and which measure was being tracked.

That is an important reminder that the same training plan does not create identical measurements in everyone. But the studies do not identify a single genetic cause of the variation.

Sleep, stress, diet, and recovery are reasonable parts of real sporting lives, but they should not be presented as direct STRUETH conclusions without specific source support.

The fun truth about elite sport

If you and your twin share nearly the same DNA but only one of you plays in the top league, the explanation is probably not that the other got the "wrong gene".

It may come down to thousands of small differences: an extra year with the right coach, an injury that never happened, a sport that fitted better, or an opportunity that happened to show up.

Genes may be part of the starting line-up. They do not play the whole match.

So are some people born elite athletes?

Some people may be born with characteristics that are favourable for a particular sport. But that is not the same as being born a finished elite athlete.

The most defensible answer is therefore: elite performance is shaped by genetic contributions, training, environment, opportunity, motivation, coaching, injury history, and recovery over time.

None of the used sources can weigh these factors precisely for any individual person or guarantee what level they can reach.

What does this mean for twins?

If you and your twin train the same sport, the results do not need to come out identical. That does not automatically mean one has better genes or the other is training wrong.

Comparisons can be fun and motivating, but they do not replace individual monitoring of goals, health, and training load. The article gives no advice about genetic testing or how anyone should train.

What is interesting is that very similar genetic starting points can still lead to different sporting journeys.

The TwinPare perspective

At TwinPare we think the question gets more fascinating when the simple answer disappears. Human beings are neither a blank slate nor a finished genetic blueprint.

Twin research can help us understand variation without reducing anyone to their DNA. It also shows why talent identification must remain humble in the face of development, opportunity, and time.

Your genes are part of your starting point. They are not a results protocol.

Source and limitations

This article uses a critical genetics review from 2016 as the candidate source and two verified STRUETH studies on training responses. The review's bibliographic metadata and cautious multifactorial direction have been verified against PubMed.

The genetic review is used only for the cautious multifactorial conclusion about performance genetics. Any more detailed ACTN3 claims or precise heritability figures require additional sources.

STRUETH supports variation in studied training responses but did not study elite athletes and cannot predict competitive success.

The sources do not support precise general heritability intervals, a single elite athlete gene, genetic talent diagnostics, or claims about named elite athletes' genetic advantages.

Source notes

The sources have been verified and editorially reviewed for this article. The limitations below show which level of conclusion the sources support.

  1. [santos-2016] The heritable path of human physical performance: from single polymorphisms to the "next generation". Cintia G. Santos; Pedro M. Pimentel-Coelho; Bruce Budowle; Rodrigo S. de Moura-Neto; Marina Dornelas-Ribeiro; Fernando A. M. S. Pompeu; Ronaldo Silva. Scandinavian Journal of Medicine & Science in Sports, 2016. Evidence type: Peer-reviewed critical narrative review of genetic contributions to physical performance; not a primary twin experiment Limitation: Bibliographic metadata and the cautious multifactorial conclusion have been verified against PubMed. The article uses this source only for bounded claims about multifactorial performance genetics, supplemented by verified STRUETH sources for training responses. The source cannot predict individual performance or demonstrate that anyone is born an elite athlete. PubMed DOI
  2. [thomas-2021] Studies of Twin Responses to Understand Exercise Therapy (STRUETH): Body Composition. Hannah J. Thomas; Christopher E. Marsh; Benjamin A. Maslen; Katrina J. Scurrah; Louise H. Naylor; Daniel J. Green. Medicine & Science in Sports & Exercise, 2021. Evidence type: Randomised crossover trial in which 84 untrained twins completed periods of endurance and resistance training Limitation: Group and individual responses depend on the study's training design, measurements, and definitions. The study does not identify a universal explanation for every difference and does not prescribe a best programme for everyone. PubMed DOI
  3. [marsh-2020] Fitness and strength responses to distinct exercise modes in twins: Studies of Twin Responses to Understand Exercise as a THerapy (STRUETH) study. Christopher E. Marsh; Hannah J. Thomas; Louise H. Naylor; Katrina J. Scurrah; Daniel J. Green. The Journal of Physiology, 2020. Evidence type: Randomised crossover trial comparing 84 untrained twins after endurance and resistance training Limitation: Response classification is influenced by chosen measures and measurement uncertainty. Results show variation between training modes and individuals but do not prove that genetics is irrelevant or that every low-responder will respond to an alternative programme. PubMed DOI
Editorial source review

This section shows how the article's key factual claims are linked to the source.

Phrasings that require caution

  • Write that genetic factors can contribute to performance-related characteristics, not that anyone is born an elite athlete.
  • Describe the ACTN3 "sprinting gene" label as a simplification and avoid variant, frequency, and effect figures until additional sources are verified.
  • Use no general heritability intervals without a specific trait, sample, and model.
  • Do not translate varying STRUETH responses into elite potential or a genetic explanation.
  • Do not claim that identical twins should reach the same level or that hard work always overcomes biological differences.
  • Do not use named elite athletes as genetic evidence without verified sources.
  • Give no advice about genetic testing, sport selection, or individualised training.
IDClaimSource supportCaution
C1 The critical review describes human physical performance as polygenic and multifactorial, not governed by a single elite athlete gene. 2016 Do not formulate individual predictions and keep the conclusion multifactorial.
C2 ACTN3 is a well-known candidate gene example but cannot alone explain or predict elite performance. 2016 Source review is not complete. Do not use "the sprinting gene" as a literal or deterministic conclusion.
C3 Twin studies can contribute population-level estimates of genetic and environmental contributions to specific performance measures. 2016 Do not translate heritability into an individual's inborn percentage or a fixed ceiling on performance.
C4 STRUETH found variation in body composition, strength, and aerobic capacity responses between individuals and training modes. 2021 , 2020 Training responses in a research design are not the same as elite potential or long-term competitive success.
C5 Training responses in STRUETH varied depending on training mode, individual, and studied outcome. 2021 , 2020 Do not claim the study proves why a particular person responds differently.
C6 Genetic contributions can influence relevant characteristics but are neither necessary nor sufficient as an explanation for elite status. 2016 Keep the conclusion multifactorial and under continued source review.
C7 This article is published with a clear boundary: the sources do not support genetic prediction, elite selection, or individual training advice. 2016 , 2021 , 2020 Keep the conclusion multifactorial and avoid deterministic language.