| Title |
Multiplex analysis of genetic polymorphisms within UGT1A9, a gene involved in phase II of Δ9-THC metabolism
|
|---|---|
| Published in |
International Journal of Legal Medicine, September 2018
|
| DOI | 10.1007/s00414-018-1919-0 |
| Pubmed ID | |
| Authors |
Julia Sophie Schneider, Angela Gasse, Marianne Schürenkamp, Ursula Sibbing, Sabrina Banken, Heidi Pfeiffer, Jennifer Schürenkamp, Marielle Vennemann |
| Abstract |
We present a novel multiplex assay for the simultaneous detection of 12 polymorphisms within the UGT1A9 sequence, which codes for enzymes involved in phase II biotransformation. The assay combines a multiplexed amplification step with single-base extension sequencing. The method described here is fast, cost-effective, and easy-to-use, combining the relevant features of screening methods for research and diagnostics in pharmacogenetics. To validate the assay, we tested reproducibility and sensitivity and analysed allele frequencies of 110 Caucasian individuals. Furthermore, we describe combining genetic information of individuals consuming Cannabis sativa products with respective plasma concentrations of a metabolite. |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 4 | 24% |
| United States | 2 | 12% |
| Unknown | 11 | 65% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 17% |
| Student > Master | 4 | 17% |
| Other | 3 | 13% |
| Professor | 2 | 8% |
| Researcher | 2 | 8% |
| Other | 3 | 13% |
| Unknown | 6 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 17% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Agricultural and Biological Sciences | 3 | 13% |
| Economics, Econometrics and Finance | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Other | 3 | 13% |
| Unknown | 7 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 13 February 2019.
All research outputs
#3,152,182
of 24,513,158 outputs
Outputs from International Journal of Legal Medicine
#131
of 2,185 outputs
Outputs of similar age
#62,132
of 340,078 outputs
Outputs of similar age from International Journal of Legal Medicine
#3
of 56 outputs
Altmetric has tracked 24,513,158 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,185 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 94% of its peers.
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We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.