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...
| Main Authors: | , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
Springer US
2018
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| _version_ | 1826289232250929152 |
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| author | Wittemans, L Lotta, L Langenberg, C |
| author_facet | Wittemans, L Lotta, L Langenberg, C |
| author_sort | Wittemans, L |
| collection | OXFORD |
| description | <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 genetic discoveries have shaped our understanding of the causal role of factors associated with T2D. <strong>Recent Findings</strong> Genetic discoveries have led to the identification of novel potential aetiological factors of T2D, including the protective role of peripheral fat storage capacity and specific metabolic pathways, such as the branched-chain amino acid breakdown. Consideration of specific genetic mechanisms contributing to overall lipid levels has suggested that distinct physiological processes influencing lipid levels may influence diabetes risk differentially. Genetic approaches have also been used to investigate the role of T2D and related metabolic traits as causal risk factors for other disease outcomes, such as cancer, but comprehensive studies are lacking. <strong>Summary</strong> Genome-wide association studies of T2D and metabolic traits coupled with high-throughput molecular phenotyping and in-depth characterisation and follow-up of individual loci have provided better understanding of aetiological factors contributing to T2D. |
| first_indexed | 2024-03-07T02:25:45Z |
| format | Journal article |
| id | oxford-uuid:a5881b1c-5235-45c6-92d6-f200fee642c6 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T02:25:45Z |
| publishDate | 2018 |
| publisher | Springer US |
| record_format | dspace |
| spelling | oxford-uuid:a5881b1c-5235-45c6-92d6-f200fee642c62022-03-27T02:41:06ZPrioritising risk factors for type 2 diabetes: causal inference through genetic approachesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a5881b1c-5235-45c6-92d6-f200fee642c6EnglishSymplectic Elements at OxfordSpringer US2018Wittemans, LLotta, LLangenberg, C<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 genetic discoveries have shaped our understanding of the causal role of factors associated with T2D. <strong>Recent Findings</strong> Genetic discoveries have led to the identification of novel potential aetiological factors of T2D, including the protective role of peripheral fat storage capacity and specific metabolic pathways, such as the branched-chain amino acid breakdown. Consideration of specific genetic mechanisms contributing to overall lipid levels has suggested that distinct physiological processes influencing lipid levels may influence diabetes risk differentially. Genetic approaches have also been used to investigate the role of T2D and related metabolic traits as causal risk factors for other disease outcomes, such as cancer, but comprehensive studies are lacking. <strong>Summary</strong> Genome-wide association studies of T2D and metabolic traits coupled with high-throughput molecular phenotyping and in-depth characterisation and follow-up of individual loci have provided better understanding of aetiological factors contributing to T2D. |
| spellingShingle | Wittemans, L Lotta, L Langenberg, C Prioritising risk factors for type 2 diabetes: causal inference through genetic approaches |
| title | Prioritising risk factors for type 2 diabetes: causal inference through genetic approaches |
| title_full | Prioritising risk factors for type 2 diabetes: causal inference through genetic approaches |
| title_fullStr | Prioritising risk factors for type 2 diabetes: causal inference through genetic approaches |
| title_full_unstemmed | Prioritising risk factors for type 2 diabetes: causal inference through genetic approaches |
| title_short | Prioritising risk factors for type 2 diabetes: causal inference through genetic approaches |
| title_sort | prioritising risk factors for type 2 diabetes causal inference through genetic approaches |
| work_keys_str_mv | AT wittemansl prioritisingriskfactorsfortype2diabetescausalinferencethroughgeneticapproaches AT lottal prioritisingriskfactorsfortype2diabetescausalinferencethroughgeneticapproaches AT langenbergc prioritisingriskfactorsfortype2diabetescausalinferencethroughgeneticapproaches |