SwePub
Sök i LIBRIS databas

  Extended search

id:"swepub:oai:DiVA.org:uu-502369"
 

Search: id:"swepub:oai:DiVA.org:uu-502369" > Causal factors unde...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Causal factors underlying diabetes risk informed by Mendelian randomisation analysis : evidence, opportunities and challenges

Yuan, Shuai (author)
Karolinska Institutet
Merino, Jordi (author)
Massachusetts Gen Hosp, Ctr Genom Med, Diabet Unit, Boston, MA USA.;Eli & Edythe L Broad Inst & Harvard, Programs Metab & Med & Populat Genet, Cambridge, MA USA.;Harvard Med Sch, Dept Med, Boston, MA USA.;Univ Copenhagen, Novo Nord Fdn Ctr Basic Metab Res, Fac Hlth & Med Sci, Copenhagen, Denmark.
Larsson, Susanna C. (author)
Karolinska Institutet,Uppsala universitet,Medicinsk epidemiologi,Karolinska Inst, Inst Environm Med, Unit Cardiovasc & Nutr Epidemiol, Stockholm, Sweden
Karolinska Institutet Massachusetts Gen Hosp, Ctr Genom Med, Diabet Unit, Boston, MA USA;Eli & Edythe L Broad Inst & Harvard, Programs Metab & Med & Populat Genet, Cambridge, MA USA.;Harvard Med Sch, Dept Med, Boston, MA USA.;Univ Copenhagen, Novo Nord Fdn Ctr Basic Metab Res, Fac Hlth & Med Sci, Copenhagen, Denmark. (creator_code:org_t)
2023-02-14
2023
English.
In: Diabetologia. - : Springer Nature. - 0012-186X .- 1432-0428. ; 66:5, s. 800-812
  • Research review (peer-reviewed)
Abstract Subject headings
Close  
  • Diabetes and its complications cause a heavy disease burden globally. Identifying exposures, risk factors and molecular processes causally associated with the development of diabetes can provide important evidence bases for disease prevention and spur novel therapeutic strategies. Mendelian randomisation (MR), an epidemiological approach that uses genetic instruments to infer causal associations between an exposure and an outcome, can be leveraged to complement evidence from observational and clinical studies. This narrative review aims to summarise the evidence on potential causal risk factors for diabetes by integrating published MR studies on type 1 and 2 diabetes, and to reflect on future perspectives of MR studies on diabetes. Despite the genetic influence on type 1 diabetes, few MR studies have been conducted to identify causal exposures or molecular processes leading to increased disease risk. In type 2 diabetes, MR analyses support causal associations of somatic, mental and lifestyle factors with development of the disease. These studies have also identified biomarkers, some of them derived from the gut microbiota, and molecular processes leading to increased disease risk. These studies provide valuable data to better understand disease pathophysiology and explore potential therapeutic targets. Because genetic association studies have mostly been restricted to participants of European descent, multi-ancestry cohorts are needed to examine the role of different types of physical activity, dietary components, metabolites, protein biomarkers and gut microbiome in diabetes development.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

Keyword

Causality
Diabetes
Mendelian randomisation
Review
Risk factor

Publication and Content Type

ref (subject category)
for (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Find more in SwePub

By the author/editor
Yuan, Shuai
Merino, Jordi
Larsson, Susanna ...
About the subject
MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Clinical Medicin ...
and Endocrinology an ...
MEDICAL AND HEALTH SCIENCES
MEDICAL AND HEAL ...
and Health Sciences
and Public Health Gl ...
Articles in the publication
Diabetologia
By the university
Uppsala University
Karolinska Institutet

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view