| Title |
From Mice to Humans
|
|---|---|
| Published in |
Current Diabetes Reports, September 2012
|
| DOI | 10.1007/s11892-012-0323-2 |
| Pubmed ID | |
| Authors |
Fiona McMurray, Lee Moir, Roger D. Cox |
| Abstract |
The genomes of many species have now been completely sequenced including human and mouse. Great progress has been made in understanding the complex genetics that underlie diabetes and obesity in human populations. One of the current challenges is the functional identification and characterization of the genes within loci that are being mapped. There are many approaches to this problem and this review outlines the valuable role that the mouse can play. We outline the mouse resources that are available to the research community, including knockouts with conditional potential for every gene, and the efforts of the International Mouse Phenotyping Consortium to attach phenotype information to these genes. We also briefly consider the potential of TALEN technology to tailor-make new mouse models of specific mutations discovered in humans. Finally, we consider the recent progress in characterizing the GWAS genes FTO, TCF7L2, CDKAL1, and SLC30A8 in engineered mouse models. |
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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 103 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 14% |
| Researcher | 12 | 11% |
| Student > Master | 5 | 5% |
| Student > Postgraduate | 4 | 4% |
| Student > Bachelor | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 60 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 23% |
| Medicine and Dentistry | 7 | 7% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Immunology and Microbiology | 2 | 2% |
| Computer Science | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 63 | 60% |
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 05 April 2023.
All research outputs
#18,306,920
of 23,524,722 outputs
Outputs from Current Diabetes Reports
#759
of 1,021 outputs
Outputs of similar age
#126,133
of 172,060 outputs
Outputs of similar age from Current Diabetes Reports
#19
of 27 outputs
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