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Genetic and environmental components of family history in type 2 diabetes

Overview of attention for article published in Human Genetics, December 2014
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Title
Genetic and environmental components of family history in type 2 diabetes
Published in
Human Genetics, December 2014
DOI 10.1007/s00439-014-1519-0
Pubmed ID
Authors

Marilyn C. Cornelis, Noah Zaitlen, Frank B. Hu, Peter Kraft, Alkes L. Price

Abstract

Family history of diabetes is a major risk factor for type 2 diabetes (T2D), but whether this association derives from shared genetic or environmental factors is unclear. To address this question, we developed a statistical framework that models four components of variance, including known and unknown genetic and environmental factors, using a liability threshold model. Focusing on parental history, we simulated case-control studies with two first-degree relatives for each individual, assuming 50 % genetic similarity and a range of values of environmental similarity. By comparing the association of parental history with T2D in our simulations to case-control studies of T2D nested in the Nurses' Health Study and Health Professionals Follow-up Study, we estimate that first-degree relatives have a correlation of 23 % (95 % CI 15-27 %) in their environmental contribution to T2D liability and that this shared environment is responsible for 32 % (95 % CI 24-36 %) of the association between parental history and T2D, with the remainder due to shared genetics. Estimates are robust to varying model parameter values and our framework can be extended to different definitions of family history. In conclusion, we find that the association between parental history and T2D derives from predominately genetic but also environmental effects.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Ph. D. Student 6 11%
Student > Bachelor 6 11%
Student > Doctoral Student 5 9%
Student > Master 5 9%
Other 10 18%
Unknown 14 25%
Readers by discipline Count As %
Medicine and Dentistry 14 25%
Nursing and Health Professions 7 13%
Biochemistry, Genetics and Molecular Biology 4 7%
Agricultural and Biological Sciences 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 7 13%
Unknown 17 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 December 2014.
All research outputs
#20,247,117
of 22,775,504 outputs
Outputs from Human Genetics
#2,815
of 2,952 outputs
Outputs of similar age
#295,489
of 352,738 outputs
Outputs of similar age from Human Genetics
#8
of 12 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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