Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Single-nucleotide variant proportion in genes: a new concept to explore major depression based on DNA sequencing data|
|Citation:||Journal of Human Genetics, 2017; 62(5):577-580|
|Publisher:||Nature Publishing Group|
|Chenglong Yu, Bernhard T Baune, Julio Licinio and Ma-Li Wong|
|Abstract:||Major depressive disorder (MDD) is a common psychiatric illness with significant medical and socioeconomic impact. Genetic factors are likely to play important roles in the development of this condition. DNA sequencing technology has the ability to identify all private genetic mutations and provides new channels for studying the biology of MDD. In this proof-of-concept study we proposed a novel concept, single-nucleotide variant proportion (SNVP), to investigate MDD based on whole-genome sequencing (WGS) data. Our SNVP-based approach can be used to test newly found candidate genes as a complement to genome-wide genotyping analysis. Furthermore, we performed cluster analysis for MDD patients and ethnically matched healthy controls, and found that clusters based on SNVP may predict MDD diagnosis. Our results suggest that SNVP may be used as a potential biomarker associated with major depression. Our methodology could be a valuable predictive/diagnostic tool as one can test whether a new subject falls within or close to an existing MDD cluster. Advances in this study design have the potential to personalized treatments and could include the ability to diagnose patients based on their full or part DNA sequencing data.|
|Keywords:||Humans; Genetic Predisposition to Disease; Depressive Disorder, Major; Polymorphism, Single Nucleotide; High-Throughput Nucleotide Sequencing|
|Rights:||© 2017 The Japan Society of Human Genetics All rights reserved|
|Appears in Collections:||Genetics publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.