Beyond additive genetic effects: Explaining family resemblance in school performance across millions of pairs of Norwegian relatives

IF 9.1 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Nikolai Haahjem Eftedal, Espen Moen Eilertsen, Hans Fredrik Sunde, Thomas Haarklau Kleppestø, Eivind Ystrom, Nikolai Olavi Czajkowski
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引用次数: 0

Abstract

We investigate the hypothesis that family resemblance on school performance can be fully explained by additive genetic effects and assortative mating. Our sample consists of all schoolchildren who took Norwegian national standardized tests between 2007 and 2019 (N = 936,708). These tests measure aptitude in math and reading comprehension, and are taken the years children turn 10, 13, and 14 y old. We identify millions of pairs of relatives within our sample (82 different kinds, in total), including not only conventional biological relatives such as siblings and cousins, but also relatives-in-law, relatives through adoption, twins, and relatives connected through twins. When fitting models which assume that family resemblance arises solely from additive genetic effects and assortative mating, we find that they describe much of our data well, but that they systematically underestimate the similarity of close relatives (particularly monozygotic twins), maternal relatives, relatives-in-law, and relatives through adoption. We discuss potential explanations for these deviations, including shared-environmental effects, nonadditive genetic effects, and gene–environment interplay.
超越加性基因效应:解释数百万对挪威亲属在学校表现上的家庭相似性
我们研究了一种假设,即家庭相似性对学校表现的影响可以通过加性遗传效应和分类交配来充分解释。我们的样本包括2007年至2019年期间参加挪威国家标准化考试的所有学童(N = 936,708)。这些测试衡量的是孩子们在数学和阅读理解方面的能力,测试时间分别是10岁、13岁和14岁。我们在样本中识别了数百万对亲戚(总共82种不同的类型),不仅包括传统的生物亲戚,如兄弟姐妹和表兄弟姐妹,还包括亲戚,通过收养的亲戚,双胞胎和通过双胞胎联系的亲戚。当拟合假设家族相似性仅来自遗传效应和选择性交配的模型时,我们发现它们很好地描述了我们的大部分数据,但它们系统地低估了近亲(特别是同卵双胞胎)、母亲属、亲戚和通过收养的亲属的相似性。我们讨论了这些偏差的潜在解释,包括共享环境效应、非加性遗传效应和基因-环境相互作用。
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来源期刊
CiteScore
19.00
自引率
0.90%
发文量
3575
审稿时长
2.5 months
期刊介绍: The Proceedings of the National Academy of Sciences (PNAS), a peer-reviewed journal of the National Academy of Sciences (NAS), serves as an authoritative source for high-impact, original research across the biological, physical, and social sciences. With a global scope, the journal welcomes submissions from researchers worldwide, making it an inclusive platform for advancing scientific knowledge.
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