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全基因组多基因评分可预测整个学年的阅读表现。

Genome-Wide Polygenic Scores Predict Reading Performance Throughout the School Years.

作者信息

Selzam Saskia, Dale Philip S, Wagner Richard K, DeFries John C, Cederlöf Martin, O'Reilly Paul F, Krapohl Eva, Plomin Robert

机构信息

King's College London.

University of New Mexico.

出版信息

Sci Stud Read. 2017 Jul 4;21(4):334-349. doi: 10.1080/10888438.2017.1299152. Epub 2017 Mar 28.

Abstract

It is now possible to create individual-specific genetic scores, called genome-wide polygenic scores (GPS). We used a GPS for years of education () to predict reading performance assessed at UK National Curriculum Key Stages 1 (age 7), 2 (age 12) and 3 (age 14) and on reading tests administered at ages 7 and 12 in a UK sample of 5,825 unrelated individuals. GPS accounts for up to 5% of the variance in reading performance at age 14. GPS predictions remained significant after accounting for general cognitive ability and family socioeconomic status. Reading performance of children in the lowest and highest 12.5% of the GPS distribution differed by a mean growth in reading ability of approximately two school years. It seems certain that polygenic scores will be used to predict strengths and weaknesses in education.

摘要

现在可以创建个体特异性的基因分数,称为全基因组多基因分数(GPS)。我们使用了一个用于受教育年限的GPS来预测在英国国家课程关键阶段1(7岁)、2(12岁)和3(14岁)评估的阅读表现,以及在英国5825名无亲属关系个体的样本中7岁和12岁时进行的阅读测试。GPS在14岁时的阅读表现差异中占比高达5%。在考虑了一般认知能力和家庭社会经济地位后,GPS预测仍然显著。在GPS分布中处于最低和最高12.5%的儿童的阅读表现,在阅读能力平均增长方面相差约两个学年。多基因分数似乎肯定会被用于预测教育中的优势和劣势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b8f/5490720/03571e18ce5e/hssr_a_1299152_f0001_oc.jpg

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