Data mining epidemiological relationships: integration of causal analysis with published evidence

数据挖掘流行病学关系：因果分析与已发表证据的整合

• 批准号: MC_UU_00011/4
• 负责人: Tom Gaunt
• 金额: $ 169.34万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Intramural
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MC_UU_00011%2F4
• 关键词: Data; mining; epidemiological; relationships; integration

Causal inference in epidemiology focuses on identifying the risk factors that cause disease. Established approaches focus on specific risk factors that may impact on specific diseases. However, the wealth of biomedical data that now exist enable us to assess the causal relationships between a broad network of risk factors and diseases. By considering a much wider network of such relationships we will establish the relative importance of different risk factors and the potential side-effects of interventions that target those risk factors. We will also integrate biological data (eg molecular pathways, drug targets) with causal relationships to enable us to understand the molecular mechanisms that lead to disease, and identify potential pharmaceutical and public health interventions. These data and relationships will be combined in a purpose-built “graph” database and methods will be developed to mine for novel causal risk factors and potential interventions. The data that we collate for our research within this programme will have wide-reaching value to the research community. We will provide an open and accessible software platform for other researchers to search and use the various datasets we have integrated for their own research.

流行病学中的因果推断侧重于确定导致疾病的风险因素。既定的方法侧重于可能影响特定疾病的特定风险因素。然而，现有的丰富生物医学数据使我们能够评估广泛的风险因素网络与疾病之间的因果关系。通过考虑这种关系的更广泛的网络，我们将建立不同的风险因素的相对重要性和针对这些风险因素的干预措施的潜在副作用。我们还将整合生物学数据（如分子途径，药物靶点）与因果关系，使我们能够了解导致疾病的分子机制，并确定潜在的药物和公共卫生干预措施。这些数据和关系将被合并到一个专门建立的“图表”数据库中，并将开发方法来挖掘新的因果风险因素和潜在的干预措施。我们在该计划中为我们的研究整理的数据将对研究界具有广泛的价值。我们将为其他研究人员提供一个开放和可访问的软件平台，以搜索和使用我们为自己的研究整合的各种数据集。

项目成果

Kidney Function and Risk of Renal Cell Carcinoma.

• DOI: 10.1158/1055-9965.epi-23-0558
• 发表时间: 2023-11-01
• 期刊: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

A proteome-wide genetic investigation identifies several SARS-CoV-2-exploited host targets of clinical relevance.

• DOI: 10.7554/elife.69719
• 发表时间: 2021-08-17
• 期刊: eLife
• 影响因子: 7.7
• 作者: Anisul M;Shilts J;Schwartzentruber J;Hayhurst J;Buniello A;Shaikho Elhaj Mohammed E;Zheng J;Holmes M;Ochoa D;Carmona M;Maranville J;Gaunt TR;Emilsson V;Gudnason V;McDonagh EM;Wright GJ;Ghoussaini M;Dunham I
• 通讯作者: Dunham I

Peer victimisation during adolescence and its impact on wellbeing in adulthood: a prospective cohort study.

• DOI: 10.1186/s12889-021-10198-w
• 发表时间: 2021-01-15
• 期刊: BMC public health
• 影响因子: 4.5
• 作者: Armitage JM;Wang RAH;Davis OSP;Bowes L;Haworth CMA
• 通讯作者: Haworth CMA

Identifying drug targets for neurological and psychiatric disease via genetics and the brain transcriptome.

• DOI: 10.1371/journal.pgen.1009224
• 发表时间: 2021-01
• 期刊: PLoS genetics
• 影响因子: 4.5
• 作者: Baird DA;Liu JZ;Zheng J;Sieberts SK;Perumal T;Elsworth B;Richardson TG;Chen CY;Carrasquillo MM;Allen M;Reddy JS;De Jager PL;Ertekin-Taner N;Mangravite LM;Logsdon B;Estrada K;Haycock PC;Hemani G;Runz H;Smith GD;Gaunt TR;AMP-AD eQTL working group
• 通讯作者: AMP-AD eQTL working group

Inflammation-related epigenetic risk and child and adolescent mental health: A prospective study from pregnancy to middle adolescence.

• DOI: 10.1017/s0954579418000330
• 发表时间: 2018-08
• 期刊: Development and psychopathology
• 影响因子: 3.3
• 作者: Barker ED;Cecil CAM;Walton E;Houtepen LC;O'Connor TG;Danese A;Jaffee SR;Jensen SKG;Pariante C;McArdle W;Gaunt TR;Relton CL;Roberts S
• 通讯作者: Roberts S