Title |
Cost-efficient high-throughput HLA typing by MiSeq amplicon sequencing
|
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Published in |
BMC Genomics, January 2014
|
DOI | 10.1186/1471-2164-15-63 |
Pubmed ID | |
Authors |
Vinzenz Lange, Irina Böhme, Jan Hofmann, Kathrin Lang, Jürgen Sauter, Bianca Schöne, Patrick Paul, Viviane Albrecht, Johanna M Andreas, Daniel M Baier, Jochen Nething, Ulf Ehninger, Carmen Schwarzelt, Julia Pingel, Gerhard Ehninger, Alexander H Schmidt |
Abstract |
A close match of the HLA alleles between donor and recipient is an important prerequisite for successful unrelated hematopoietic stem cell transplantation. To increase the chances of finding an unrelated donor, registries recruit many hundred thousands of volunteers each year. Many registries with limited resources have had to find a trade-off between cost and resolution and extent of typing for newly recruited donors in the past. Therefore, we have taken advantage of recent improvements in NGS to develop a workflow for low-cost, high-resolution HLA typing. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 40% |
Montenegro | 1 | 10% |
Belgium | 1 | 10% |
Nigeria | 1 | 10% |
Sweden | 1 | 10% |
Unknown | 2 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 8 | 80% |
Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Members of the public | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 2% |
Germany | 2 | <1% |
United Kingdom | 2 | <1% |
Brazil | 2 | <1% |
Italy | 2 | <1% |
United Arab Emirates | 1 | <1% |
France | 1 | <1% |
Sweden | 1 | <1% |
South Africa | 1 | <1% |
Other | 9 | 3% |
Unknown | 294 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 94 | 29% |
Student > Ph. D. Student | 39 | 12% |
Student > Master | 33 | 10% |
Other | 27 | 8% |
Student > Bachelor | 23 | 7% |
Other | 65 | 20% |
Unknown | 41 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 134 | 42% |
Biochemistry, Genetics and Molecular Biology | 63 | 20% |
Medicine and Dentistry | 18 | 6% |
Immunology and Microbiology | 17 | 5% |
Environmental Science | 8 | 2% |
Other | 23 | 7% |
Unknown | 59 | 18% |