多多基因分数预测数学,阅读和语言能力,独立于一般认知能力
Francesca Procopio1, Wangjingyi Liao2, Kaili Rimfeld3,4
1Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. francesca.procopio@kcl.ac.uk.
Molecular psychiatry
|July 31, 2024
概括
遗传因素影响特定的认知能力 (SCA) 超出一般认知能力 (g). 这项研究量化了独立于g (SCA.g) 的SCA遗传性,并使用全基因组多基因分数 (多PGS) 预测了这些能力.
科学领域:
- 行为遗传学 行为遗传学
- 认知神经科学 认知神经科学
- 心理测量 心理测量 心理测量
背景情况:
- 特定认知能力 (SCA) 与一般认知能力 (g) 有遗传相关性,这表明有共同的遗传影响.
- 了解独立于g的SCA遗传基础对于准确的基因组预测至关重要.
- 以前的研究表明,SCA和g之间存在大量的遗传重叠,因此需要方法来解开这些影响.
研究的目的:
- 使用双胞胎和DNA数据调查独立于g (SCA.g) 的数学,阅读和语言能力的遗传性.
- 评估多个全基因组多基因分数 (多个PGS) 对SCA.g的预测能力,与未对g进行校正的SCA相比.
- 提供证据,证明SCA的遗传性估计不仅仅归因于g.
主要方法:
- 利用双胞胎早期发育研究 (TEDS) 的数据,包括12岁时5000对双胞胎的认知测试结果.
- 用单变异双胞胎分析和全基因组SNP基因型计算SCA和SCA.g的遗传性.
- 从至少50个个别的PGS开发了多个PGS,并使用弹性净处罚回归来预测SCA和SCA.g.
主要成果:
- 通过双胞胎分析,SCA.g的平均遗传率估计为40% (相对于SCA的53%),通过SNP遗传率,SCA.g的平均遗传率为26% (相对于SCA的35%).
- 多个PGS解释了SCA.g的4.4%的变异,而SCA未经g校正的比例为11.1%.
- 从双胞胎,SNP和PGS数据对SCA.g的遗传概率估计支持这些能力的遗传特异性超出g.
结论:
- 特定认知能力的遗传性并不能完全由一般认知能力来解释.
- 全基因组多基因分数可以预测特定的认知能力独立于g,尽管与SCA相比精度降低.
- 鼓励对SCA和SCA进行进一步的全基因组关联研究,以改善对认知优缺点的PGS预测.
相关概念视频
Language and Cognition
340
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
340
Biological Influences on Intelligence
84
Intelligence is often thought to be linked to brain size, but the relationship is more complex than that. While brain size does correlate modestly with some abilities, like verbal skills, the connection is weaker for others, such as spatial reasoning. Other factors, like brain structure, also play crucial roles. For instance, despite Einstein's smaller-than-average brain, his parietal cortex, which is involved in spatial reasoning, was 15% wider, suggesting that neural density might matter...
84
Measures of Intelligence
7.1K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
7.1K
Reliability and Validity
12.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.7K
Binet's Contribution to Measures of Intelligence
1.3K
Alfred Binet, along with his student Théophile Simon, was tasked by the French Ministry of Education in 1904 to create a method for identifying students who struggled to learn through conventional classroom instruction. This initiative aimed to address overcrowding by placing such students in specialized schools. Binet and Simon developed an intelligence test comprising 30 tasks, ranging from simple commands, like touching one's nose or ear, to more complex tasks, such as drawing...
1.3K
Multiple Regression
3.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.0K


