Raben Timothy G, Lello Louis, Widen Erik, Hsu Stephen D H
Michigan State University, East Lansing, MI, USA.
Genomic Prediction, North Brunswick, NJ, USA.
Methods Mol Biol. 2022;2467:421-446. doi: 10.1007/978-1-0716-2205-6_15.
Decoding the genome confers the capability to predict characteristics of the organism (phenotype) from DNA (genotype). We describe the present status and future prospects of genomic prediction of complex traits in humans. Some highly heritable complex phenotypes such as height and other quantitative traits can already be predicted with reasonable accuracy from DNA alone. For many diseases, including important common conditions such as coronary artery disease, breast cancer, type I and II diabetes, individuals with outlier polygenic scores (e.g., top few percent) have been shown to have 5 or even 10 times higher risk than average. Several psychiatric conditions such as schizophrenia and autism also fall into this category. We discuss related topics such as the genetic architecture of complex traits, sibling validation of polygenic scores, and applications to adult health, in vitro fertilization (embryo selection), and genetic engineering.
解码基因组赋予了从DNA(基因型)预测生物体特征(表型)的能力。我们描述了人类复杂性状基因组预测的现状和未来前景。一些高度可遗传的复杂表型,如身高和其他数量性状,已经可以仅根据DNA以合理的准确性进行预测。对于许多疾病,包括冠状动脉疾病、乳腺癌、I型和II型糖尿病等重要的常见疾病,多基因分数处于异常值(例如,前百分之几)的个体已被证明其风险比平均水平高5倍甚至10倍。精神分裂症和自闭症等几种精神疾病也属于这一类别。我们讨论了相关主题,如复杂性状的遗传结构、多基因分数的同胞验证,以及在成人健康、体外受精(胚胎选择)和基因工程中的应用。