| Title |
Genetic Counseling for Diabetes Mellitus
|
|---|---|
| Published in |
Current Genetic Medicine Reports, April 2014
|
| DOI | 10.1007/s40142-014-0039-5 |
| Pubmed ID | |
| Authors |
Stephanie A. Stein, Kristin A. Maloney, Toni I. Pollin |
| Abstract |
Most diabetes is polygenic in etiology, with (type 1 diabetes, T1DM) or without (type 2 diabetes, T2DM) an autoimmune basis. Genetic counseling for diabetes generally focuses on providing empiric risk information based on family history and/or the effects of maternal hyperglycemia on pregnancy outcome. An estimated one to five percent of diabetes is monogenic in nature, e.g., maturity onset diabetes of the young (MODY), with molecular testing and etiology-based treatment available. However, recent studies show that most monogenic diabetes is misdiagnosed as T1DM or T2DM. While efforts are underway to increase the rate of diagnosis in the diabetes clinic, genetic counselors and clinical geneticists are in a prime position to identify monogenic cases through targeted questions during a family history combined with working in conjunction with diabetes professionals to diagnose and assure proper treatment and familial risk assessment for individuals with monogenic diabetes. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 67 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 22% |
| Student > Master | 12 | 17% |
| Student > Ph. D. Student | 9 | 13% |
| Researcher | 7 | 10% |
| Other | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 14 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 32% |
| Biochemistry, Genetics and Molecular Biology | 8 | 12% |
| Nursing and Health Professions | 7 | 10% |
| Agricultural and Biological Sciences | 6 | 9% |
| Engineering | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 17 | 25% |
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 June 2017.
All research outputs
#15,302,068
of 22,757,541 outputs
Outputs from Current Genetic Medicine Reports
#66
of 115 outputs
Outputs of similar age
#133,152
of 226,135 outputs
Outputs of similar age from Current Genetic Medicine Reports
#5
of 7 outputs
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