ArticleEuropean journal of human genetics : EJHG2009
Predicting human height by Victorian and genomic methods.
Article in European journal of human genetics : EJHG, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed.
- Trial
- Forensic skeletal and molecular anthropology face to face: Combining expertise for identification of human remains.Annals of the New York Academy of Sciences · 2025Review
- Accurate Prediction of Children's Target Height from Their Mid-Parental Height.Children (Basel, Switzerland) · 2024Article
- Assessing the prediction of type 2 diabetes risk using polygenic and clinical risk scores in South Asian study populations.Therapeutic advances in endocrinology and metabolism · 2023Article
- Capturing additional genetic risk from family history for improved polygenic risk prediction.Communications biology · 2022Article
- Review
- The limits of normal approximation for adult height.European journal of human genetics : EJHG · 2021Article
- Article
- Predicting adult height from DNA variants in a European-Asian admixed population.International journal of legal medicine · 2019Article
- A generalized model for combining dependent SNP-level summary statistics and its extensions to statistics of other levels.Scientific reports · 2019Article
- Predictive accuracy of combined genetic and environmental risk scores.Genetic epidemiology · 2018Article
- Using a system of differential equations that models cattle growth to uncover the genetic basis of complex traits.Journal of applied genetics · 2017Article
- Automated Phenotyping Indicates Pupal Size inG3 (Bethesda, Md.) · 2017Article
- Using information of relatives in genomic prediction to apply effective stratified medicine.Scientific reports · 2017Article
- Estimation of genomic prediction accuracy from reference populations with varying degrees of relationship.PloS one · 2017Article
- Validating genetic markers of response to recombinant human growth hormone in children with growth hormone deficiency and Turner syndrome: the PREDICT validation study.European journal of endocrinology · 2016Article
- Effect of summer daylight exposure and genetic background on growth in growth hormone-deficient children.The pharmacogenomics journal · 2016Article
- 'Omics' biomarkers associated with chronic low back pain: protocol of a retrospective longitudinal study.BMJ open · 2016Observational
- Predicting quantitative traits from genome and phenome with near perfect accuracy.Nature communications · 2016Article
- Polygenic Epidemiology.Genetic epidemiology · 2016Review
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Authors and funding
12 authors.
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Abstract
In the Victorian era, Sir Francis Galton showed that 'when dealing with the transmission of stature from parents to children, the average height of the two parents, ... is all we need care to know about them' (1886). One hundred and twenty-two years after Galton's work was published, 54 loci showing strong statistical evidence for association to human height were described, providing us with potential genomic means of human height prediction. In a population-based study of 5748 people, we find that a 54-loci genomic profile explained 4-6% of the sex- and age-adjusted height variance, and had limited ability to discriminate tall/short people, as characterized by the area under the receiver-operating characteristic curve (AUC). In a family-based study of 550 people, with both parents having height measurements, we find that the Galtonian mid-parental prediction method explained 40% of the sex- and age-adjusted height variance, and showed high discriminative accuracy. We have also explored how much variance a genomic profile should explain to reach certain AUC values. For highly heritable traits such as height, we conclude that in applications in which parental phenotypic information is available (eg, medicine), the Victorian Galton's method will long stay unsurpassed, in terms of both discriminative accuracy and costs. For less heritable traits, and in situations in which parental information is not available (eg, forensics), genomic methods may provide an alternative, given that the variants determining an essential proportion of the trait's variation can be identified.
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