| Title |
The genetics of multiple sclerosis: review of current and emerging candidates
|
|---|---|
| Published in |
The Application of Clinical Genetics, August 2013
|
| DOI | 10.2147/tacg.s29107 |
| Pubmed ID | |
| Authors |
Maider Muñoz-Culla, Haritz Irizar, David Otaegui |
| Abstract |
Multiple sclerosis (MS) is a complex disease in which environmental, genetic, and epigenetic factors determine the risk of developing the disease. The human leukocyte antigen region is the strongest susceptibility locus linked to MS, but it does not explain the whole heritability of the disease. To find other non-human leukocyte antigen loci associated with the disease, high-throughput genotyping, sequencing, and gene-expression studies have been performed, producing a valuable quantity of information. An overview of the genomic and expression studies is provided in this review, as well as microRNA-expression studies, highlighting the importance of combining all the layers of information in order to elucidate the causes or pathological mechanisms occurring in the disease. Genetics in MS is a promising field that is presumably going to be very productive in the next decade understanding the cross talk between all the factors contributing to the development of MS. |
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 % |
|---|---|---|
| Montenegro | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 2% |
| United Kingdom | 2 | 1% |
| Germany | 1 | <1% |
| Ireland | 1 | <1% |
| Sweden | 1 | <1% |
| Portugal | 1 | <1% |
| China | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 151 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 19% |
| Student > Master | 29 | 18% |
| Student > Bachelor | 28 | 17% |
| Researcher | 16 | 10% |
| Student > Doctoral Student | 10 | 6% |
| Other | 27 | 17% |
| Unknown | 22 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 41 | 25% |
| Agricultural and Biological Sciences | 35 | 22% |
| Biochemistry, Genetics and Molecular Biology | 28 | 17% |
| Neuroscience | 12 | 7% |
| Nursing and Health Professions | 5 | 3% |
| Other | 11 | 7% |
| Unknown | 30 | 19% |
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 18 May 2018.
All research outputs
#16,305,401
of 25,748,735 outputs
Outputs from The Application of Clinical Genetics
#1
of 1 outputs
Outputs of similar age
#122,738
of 210,995 outputs
Outputs of similar age from The Application of Clinical Genetics
#1
of 1 outputs
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