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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A collective diabetes cross in combination with a computational framework to dissect the genetics of human obesity and Type 2 diabetes
|
|---|---|
| Published in |
Human Molecular Genetics, June 2018
|
| DOI | 10.1093/hmg/ddy217 |
| Pubmed ID | |
| Authors |
Heike Vogel, Anne Kamitz, Nicole Hallahan, Sandra Lebek, Tanja Schallschmidt, Wenke Jonas, Markus Jähnert, Pascal Gottmann, Lisa Zellner, Timo Kanzleiter, Mareike Damen, Delsi Altenhofen, Ralph Burkhardt, Simone Renner, Maik Dahlhoff, Eckhard Wolf, Timo D Müller, Matthias Blüher, Hans-Georg Joost, Alexandra Chadt, Hadi Al-Hasani, Annette Schürmann |
| Abstract |
To explore the genetic determinants of obesity and type 2 diabetes (T2D), the German Center for Diabetes Research (DZD) conducted crossbreedings of the obese and diabetes-prone NZO mouse strain with four different lean strains (B6, DBA, C3H, 129P2) which vary in their susceptibility to develop T2D. Genome-wide linkage analyses localized more than 290 QTL for obesity, 190 QTL for diabetes-related traits, and 100 QTL for plasma metabolites in the outcross populations. A computational framework was developed that allowed to refine critical regions and to nominate a small number of candidate genes by integrating reciprocal haplotype mapping and transcriptome data. The efficiency of the complex procedure was demonstrated for one obesity QTL. The genomic interval of 35 Mb with 502 annotated candidate genes was narrowed down to six candidates. Accordingly, congenic mice retained the obesity phenotype due to an interval that contains three of the six candidate genes. Among these the phospholipase PLA2G4A exhibited an elevated expression in adipose tissue of obese human subjects and is therefore a critical regulator of the obesity locus. Together, our broad and complex approach demonstrates that combined- and comparative-cross analysis exhibits improved mapping resolution and represents a valid tool for the identification of disease genes. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Qatar | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 13% |
| Student > Master | 4 | 13% |
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 12 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Medicine and Dentistry | 3 | 10% |
| Agricultural and Biological Sciences | 3 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 15 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 09 November 2018.
All research outputs
#15,630,822
of 25,223,158 outputs
Outputs from Human Molecular Genetics
#6,509
of 8,277 outputs
Outputs of similar age
#187,003
of 335,675 outputs
Outputs of similar age from Human Molecular Genetics
#64
of 97 outputs
Altmetric has tracked 25,223,158 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,277 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 335,675 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.