Incorporating genetic data to better understand the social and environmental drivers of children's outcomes

纳入遗传数据以更好地了解儿童结果的社会和环境驱动因素

• 批准号: ES/S011021/1
• 负责人: Tim Morris
• 金额: $ 12.28万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FS011021%2F1
• 关键词: Incorporating; genetic; data; better; understand

This fellowship contains an interdisciplinary programme of quantitative research to examine the impact that home and neighbourhood environments have on children's health and social outcomes. It uses data from a Bristol based cohort of children born in the early 1990's to investigate how social factors such as geographical relocation in early life relate outcomes including mental health and cannabis use.This fellowship will investigate ways to overcome a statistical limitation common to population-based health research; that studies are often biased by underlying differences between people that are not observed (such as family history, personality differences or genetics). Novel statistical methods can be used to investigate the impact of underlying differences even where they are unmeasured, and provide an excellent tool for determining whether relationships between social factors and health may be due to potential causal factors or if they arise due to correlation structures within the data.To further understanding of the ways in which unmeasured differences between people may impacts health outcomes, I will investigate the extent to which genetic differences between individuals may underlie the associations revealed in social science research. For example, there is a genetic architecture to cannabis use that helps to explain why some people are more likely to be users than others, and it is possible that this 'hidden' genetic architecture influences the links observed between social environments and cannabis use. This fellowship will examine this and seek to further knowledge on the way in which genetics contribute towards complex health and social outcomes.

该研究金包括一个跨学科的定量研究方案，以审查家庭和邻里环境对儿童健康和社会成果的影响。它使用来自布里斯托的一组出生于1990年代初的儿童的数据来调查社会因素，如早期生活中的地理搬迁如何与包括精神健康和大麻使用在内的结果相关。研究往往会因人们之间未观察到的潜在差异（例如家族史、性格差异或遗传学）而产生偏见。新的统计方法可以用来调查潜在差异的影响，即使这些差异是无法测量的，并提供了一个很好的工具，用于确定社会因素和健康之间的关系是否可能是由于潜在的因果因素，或者它们是否是由于数据中的相关结构而产生的。我将调查个体之间的遗传差异在多大程度上可能是社会科学研究中揭示的关联的基础。例如，大麻使用的遗传结构有助于解释为什么有些人比其他人更有可能成为用户，这种“隐藏”的遗传结构可能影响社会环境和大麻使用之间的联系。该奖学金将研究这一点，并寻求进一步了解遗传学如何促进复杂的健康和社会成果。

项目成果

Investigating how the accuracy of teacher expectations of pupil performance relate to socioeconomic and genetic factors.

• DOI: 10.1038/s41598-022-11347-w
• 发表时间: 2022-05-03
• 期刊: SCIENTIFIC REPORTS
• 影响因子: 4.6
• 作者: Barry, Ciarrah-Jane Shannon;Davies, Neil M.;Morris, Tim T.
• 通讯作者: Morris, Tim T.

Can education be personalised using pupils' genetic data?

可以利用学生的基因数据实现个性化教育吗？

• DOI: 10.1101/645218
• 发表时间: 2019
• 作者: Morris T

Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses

• DOI: 10.1038/s41467-020-17117-4
• 发表时间: 2020-07-14
• 期刊: NATURE COMMUNICATIONS
• 影响因子: 16.6
• 作者: Brumpton, Ben;Sanderson, Eleanor;Davies, Neil M.
• 通讯作者: Davies, Neil M.

Polygenic Risk for Depression is Associated with the Severity and Rate of Change in Depressive Symptoms Across Adolescence

抑郁症的多基因风险与青春期抑郁症状的严重程度和变化率有关

• DOI: 10.1101/2019.12.31.19016212
• 发表时间: 2020
• 作者: Kwong A

Associations between school enjoyment at age 6 and later educational achievement: evidence from a UK cohort study

6 岁时学校享受与后来的教育成就之间的关联：来自英国队列研究的证据

• DOI: 10.31235/osf.io/e6c37
• 发表时间: 2019
• 作者: Morris T