Title |
Genetics of vascular dementia – review from the ICVD working group
|
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Published in |
BMC Medicine, March 2017
|
DOI | 10.1186/s12916-017-0813-9 |
Pubmed ID | |
Authors |
M. Arfan Ikram, Anna Bersano, Raquel Manso-Calderón, Jian-Ping Jia, Helena Schmidt, Lefkos Middleton, Benedetta Nacmias, Saima Siddiqi, Hieab H.H. Adams |
Abstract |
Vascular dementia is a common disorder resulting in considerable morbidity and mortality. Determining the extent to which genes play a role in disease susceptibility and their pathophysiological mechanisms could improve our understanding of vascular dementia, leading to a potential translation of this knowledge to clinical practice. In this review, we discuss what is currently known about the genetics of vascular dementia. The identification of causal genes remains limited to monogenic forms of the disease, with findings for sporadic vascular dementia being less robust. However, progress in genetic research on associated phenotypes, such as cerebral small vessel disease, Alzheimer's disease, and stroke, have the potential to inform on the genetics of vascular dementia. We conclude by providing an overview of future developments in the field and how such work could impact patients and clinicians. The genetic background of vascular dementia is well established for monogenic disorders, but remains relatively obscure for the sporadic form. More work is needed for providing robust findings that might eventually lead to clinical translation. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 116 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 13% |
Student > Master | 14 | 12% |
Other | 11 | 9% |
Researcher | 11 | 9% |
Student > Bachelor | 8 | 7% |
Other | 24 | 21% |
Unknown | 33 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 33 | 28% |
Neuroscience | 21 | 18% |
Biochemistry, Genetics and Molecular Biology | 6 | 5% |
Economics, Econometrics and Finance | 2 | 2% |
Agricultural and Biological Sciences | 2 | 2% |
Other | 13 | 11% |
Unknown | 39 | 34% |