Prioritising risk factors for type 2 diabetes: causal inference through genetic approaches

Prioritising risk factors for type 2 diabetes: causal inference through genetic approaches

<strong>Purpose of the Review</strong> Causality has been demonstrated for few of the many putative risk factors for type 2 diabetes (T2D) emerging from observational epidemiology. Genetic approaches are increasingly being used to infer causality, and in this review, we discuss how genet...

Fuld beskrivelse

Bibliografiske detaljer
Main Authors:	Wittemans, L, Lotta, L, Langenberg, C
Format:	Journal article
Sprog:	English
Udgivet:	Springer US 2018

Lignende værker

Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments.
af: Jingshu Wang, et al.
Udgivet: (2021-06-01)

Genetic causal inference between amblyopia and perinatal factors
af: Ju-Yeun Lee, et al.
Udgivet: (2022-10-01)

Algorithmic Approaches to Nonparametric Causal Inference
af: Cohen, Peter L.
Udgivet: (2022)

Association of genetically enhanced lipoprotein lipase-mediated lipolysis and low-density lipoprotein cholesterol-lowering alleles with risk of coronary disease and type 2 diabetes
af: Lotta, L, et al.
Udgivet: (2018)

Assessing the causal association of glycine with risk of cardio-metabolic diseases
af: Wittemans, L, et al.
Udgivet: (2019)

Causal discovery approach with reinforcement learning for risk factors of type II diabetes mellitus
af: Xiu-E. Gao, et al.
Udgivet: (2023-07-01)

Inference of Causal Relationships Between Genetic Risk Factors for Cardiometabolic Phenotypes and Female‐Specific Health Conditions
af: Brenda Xiao, et al.
Udgivet: (2023-03-01)

Association of genetically enhanced lipoprotein lipase–mediated lipolysis and low-density lipoprotein cholesterol–lowering alleles with risk of coronary disease and type 2 diabetes
af: Lotta, LA, et al.
Udgivet: (2018)

Prioritising Prosecutions is the Wrong Approach
af: Kate D’Adamo
Udgivet: (2016-05-01)

Commentary: Mendelian randomization-inspired causal inference in the absence of genetic data
af: Zuccolo, L, et al.
Udgivet: (2016)

Prioritised Learning in Snowdrift-Type Games
af: Maria Kleshnina, et al.
Udgivet: (2020-11-01)

Inference in conditioned dynamics through causality restoration
af: Alfredo Braunstein, et al.
Udgivet: (2023-05-01)

Correction to: Inference of Causal Relationships Between Genetic Risk Factors for Cardiometabolic Phenotypes and Female‐Specific Health Conditions
Udgivet: (2024-03-01)

Causal inference
af: Richard Shoemaker
Udgivet: (2014-04-01)

Causal inference
af: Richard Shoemaker
Udgivet: (2014-04-01)

Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models
af: Mi Jin Noh, et al.
Udgivet: (2025-01-01)

An approach to nonparametric inference on the causal dose–response function
af: Hudson Aaron, et al.
Udgivet: (2024-12-01)

Prioritising CVD prevention therapy - absolute risk versus individual risk factors.
af: Doust, J, et al.
Udgivet: (2012)

Intelligent Agents and Causal Inference: Enhancing Decision-Making through Causal Reasoning
af: Jairo Iván Vélez Bedoya, et al.
Udgivet: (2024-04-01)

Genetics of Pulmonary Pressure and Right Ventricle Stress Identify Diabetes as a Causal Risk Factor
af: Minoo Bagheri, et al.
Udgivet: (2023-08-01)

Atypical development of causal inference in autism inferred through a neurocomputational model
af: Melissa Monti, et al.
Udgivet: (2023-10-01)

Causal Inference of Genetic Variants and Genes in Amyotrophic Lateral Sclerosis
af: Siyu Pan, et al.
Udgivet: (2022-06-01)

Genetic evidence for the causal association between type 1 diabetes and the risk of polycystic ovary syndrome
af: Shuwen Chen, et al.
Udgivet: (2023-11-01)

Causal Inference for Everyone
af: Iavor Bojinov, et al.
Udgivet: (2024-01-01)

Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function
af: William R Reay, et al.
Udgivet: (2021-03-01)

Shared polygenic risk and causal inferences in Parkinson's disease
af: Rui-Qi Zhang, et al.
Udgivet: (2022-09-01)

Inferring Causal Factors of Core Affect Dynamics on Social Participation through the Lens of the Observer
af: Alessandro D’Amelio, et al.
Udgivet: (2023-03-01)

Intuitive Theories as Grammars for Causal Inference
af: Tenenbaum, Joshua B., et al.
Udgivet: (2021)

Marginal causal flows for validation and inference
af: de Vassimon Manela, D, et al.
Udgivet: (2025)

Messy Measurement: Approaches to Causal Inference With Unobserved Variables
af: Markovich, Zachary
Udgivet: (2024)

Inferring causal genes at type 2 diabetes GWAS loci through chromosome interactions in islet cells [version 2; peer review: 2 approved]
af: Jason M. Torres, et al.
Udgivet: (2023-08-01)

Comparison of prioritisation strategies for selecting subjects with apparent type 1 diabetes for MODY gene sequencing
af: Owen, K, et al.
Udgivet: (2007)

Causal associations between cardiorespiratory fitness and type 2 diabetes
af: Lina Cai, et al.
Udgivet: (2023-07-01)

Genetic association and causal inference between lung function and venous thromboembolism
af: Qiaoyun Zhang, et al.
Udgivet: (2023-01-01)

Improving Causal Inference and Attribute Prediction Through Visual Information
af: Chau, Eileen
Udgivet: (2024)

Controlling human causal inference through in silico task design
af: Jee Hang Lee, et al.
Udgivet: (2024-02-01)

Mendelian randomization analyses in ocular disease: a powerful approach to causal inference with human genetic data
af: Jiaxin Li, et al.
Udgivet: (2022-12-01)

The genetics of falling susceptibility and identification of causal risk factors
af: Matt C. Smith, et al.
Udgivet: (2023-11-01)

Inferring cell-type-specific causal gene regulatory networks during human neurogenesis
af: Nil Aygün, et al.
Udgivet: (2023-05-01)

Risk prioritisation in the process of product development in biotechnology companies
af: Diailison Teixeira De Carvalho, et al.
Udgivet: (2016-11-01)