Ask around and you'll hear a version of this rule almost everywhere: sons take after their mothers, daughters take after their fathers. It's the kind of thing a grandmother says with total confidence at a family gathering — but does genetics actually work that way? The short answer is no, not in the clean, one-parent-per-child way the saying implies. What actually happens is more interesting, and a little more complicated.
Height Isn't Split 50/50 Between Mom and Dad
Height is a polygenic trait, meaning it's shaped by hundreds of genes working together rather than one "height gene" passed down from a single parent. Twin-cohort research puts the heritability of adult height at roughly 80%, with the remaining share coming from nutrition, sleep, and overall health during the growing years [1]. That much is well established — for a fuller breakdown of the genetics-versus-environment split, see Can You Grow Taller Than Your Parents?.
What that 80% figure doesn't explain is which parent's genes matter more. That question sits somewhere else entirely — in how sex chromosomes work, and in a strange phenomenon called genomic imprinting.
Four Things That Shape a Child's Height
- Genomic Imprinting
- Environment
- Combined Genetics
- Sex Chromosomes
Segments represent four distinct factors, not proportions — hover or tap each one for what the research shows.
What Sex Chromosomes Actually Contribute
A common version of the "sons get it from mom" idea points to chromosomes: boys inherit one X (from their mother) and one Y (from their father), so the thinking goes that any height gene on the X chromosome must come from mom alone. It's a reasonable-sounding theory, but it doesn't hold up for the one gene on the sex chromosomes actually known to affect height.
That gene is SHOX (short stature homeobox), and it sits in what's called the pseudoautosomal region — a small segment present on both the X and Y chromosomes [2]. Because of that, SHOX isn't inherited the way typical X-linked genes are: sons and daughters both receive a working copy from each parent, not just from mom. When SHOX is missing or reduced (as in Turner syndrome), the result is a well-documented reduction in height — but that's a story about gene dosage, not about which parent it came from.
So where does the real male-female height gap come from, if not a mom-only X-linked gene? Mostly hormones and timing: boys typically enter puberty later than girls and have a longer window of growth before their plates fuse, which is the bigger driver of the average height difference between men and women.
Genomic Imprinting: When a Gene Only "Listens" to One Parent
Here's where a parent-of-origin effect on growth genuinely does exist — just not on the sex chromosomes. It's called genomic imprinting, and it means that for a specific set of genes, only the copy from one parent is active; the other parent's copy is chemically silenced.
The clearest growth-related example is IGF2 (insulin-like growth factor 2), a gene active during fetal development. Only the paternal copy of IGF2 is switched on; the maternal copy stays silent [4]. Research on imprinted genes suggests a broader pattern behind this: genes turned on by the father's copy tend to promote fetal growth, while genes turned on by the mother's copy tend to restrain it. One evolutionary theory for this — sometimes called the parental conflict hypothesis — suggests it reflects a kind of biological tug-of-war: the paternal genome "pushing" for more prenatal growth, and the maternal genome moderating it to preserve resources across future pregnancies [3].
Imprinting mostly shapes growth before birth and in early infancy, rather than final adult height directly, but it's the strongest real example of one parent's genetic contribution being singled out over the other's.
So Is There Any Truth to "Sons Look Like Dad, Daughters Look Like Mom"?
This is where the research gets genuinely mixed, and it's worth being straightforward about that rather than picking the answer that makes the best headline.
A large cohort study of more than 161,000 children found that height correlated with father's height, mother's height, and mid-parental height (the average of both parents) — but the correlation with mid-parental height was consistently the strongest of the three [5]. In other words, the best predictor isn't "mom's height" or "dad's height" in isolation; it's both together.
Separately, one often-cited 1994 analysis across the U.S., Brazil, and Ghana found that a mother's education level had a bigger association with her daughter's height, while a father's education had a bigger association with his son's height [6]. That's a real, documented pattern — but it's important to be precise about what it shows: it reflects how household resources like food and healthcare tend to get allocated by gender within a family, not a direct genetic link between a specific parent and same-sex children.
Put together, current research doesn't support "sons get their height from mom, daughters from dad" as a genetic rule. It's closer to a mix of coincidence, family resource patterns, and the fact that both parents' genes are involved for every child, regardless of sex.
What Actually Predicts a Child's Height Best?
Since mid-parental height — both parents combined — outperforms either parent alone as a predictor [5], that's the calculation worth using. Here's a quick way to estimate it using both parents' heights:
Height Predictor Calculator
Estimate a child's adult height using the mid-parental height method, and see how their current height compares to the average for their age.
This tool is for general informational purposes only and is not a medical diagnosis. Height prediction involves genetics, nutrition, sleep, and health factors this calculator cannot measure. Age-average figures shown are rounded, general-reference approximations, not exact clinical percentile data. Consult a healthcare provider for an accurate assessment of a child's growth.
See the full Height Predictor Calculator guide & FAQs →Beyond Genetics: What Still Depends on the Child
Genetics sets a likely range, not a fixed outcome. Nutrition, sleep, and physical activity during childhood and adolescence all influence how close a child actually gets to their genetic potential.
Nutrition is one of several factors that shape a child's growth.
Myth vs. Reality, At a Glance
| Common Belief | What the Research Actually Shows |
|---|---|
| Sons get their height from mom because of the X chromosome | SHOX, the main height gene on the sex chromosomes, sits in a region shared by X and Y — it comes from both parents, not just mom |
| Height is split 50/50 between mom and dad | Height is polygenic and about 80% heritable overall, but the split isn't divided evenly by parent |
| One parent's height predicts the child's height best | Mid-parental height — both parents averaged — is a stronger predictor than either parent alone |
| Daughters take after dad, sons take after mom | Evidence is mixed; documented same-sex patterns are tied more to household resource allocation than genetics |
| Genetics is the whole story | About 20% comes from environment — nutrition, sleep, and physical activity during the growing years |
Summary of the mechanisms discussed above — see each section for full detail and sources.
References
1. Silventoinen et al. (2003). Heritability of adult height. Twin Research. https://pubmed.ncbi.nlm.nih.gov/14624725/
2. National Center for Biotechnology Information. SHOX short stature homeobox [Homo sapiens]. Gene database. https://www.ncbi.nlm.nih.gov/gene/6473
3. Cordeiro et al. (2014). Relevance of genomic imprinting in intrauterine human growth. Journal of Assisted Reproduction and Genetics. https://pmc.ncbi.nlm.nih.gov/articles/PMC4171407
4. Giannoukakis et al. (1993). Parental genomic imprinting of the human IGF2 gene. Nature Genetics. https://www.nature.com/articles/ng0593-94
5. Nine Cities Survey (2015). Effect of parental height on children's height. Chinese Journal of Child Health Care. https://cjchc.xjtu.edu.cn/EN/10.11852/zgetbjzz2021-0623
6. Thomas, D. (1994). Parental resources and child height. The Journal of Human Resources, 29(4). http://www.jstor.org/stable/146131
