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Title: Supporting data for "Sparse whole-genome sequencing identifies two loci for major depressive disorder"      
dateReleased:
07-15-2015
privacy:
not applicable
aggregation:
instance of dataset
dateCreated:
07-15-2015
refinement:
curated
ID:
doi:10.5524/100155
creators:
Cai, Na
Bigdeli, Tim B.
Kretzschmar, Warren
,
Song, Li
Jin, Wei
Liu, Yuan
Jiang, Tao
Lu, Yao
Yin, Ye
Xu, Xun
Reimers, Mark
Webb, Todd
Riley, Brien
Bacanu, Silviu
Peterson, Roseann E.
Zhong, Hui
Wang, Gang
Sun, Jing
Sang, Hong
Li, Yi
Zhang, Wei
Fang, Xiang
Hu, Jian
Du, Bo
Cai, Min
Deng, Hong
Li, Kan
Song, Yan
Sun, Ning
Zhang, Zhen
Tao, Ming
Xia, Jing
Rong, Han
He, Qiang
Liu, Ying
Tian, Tian
Wang, Lina
Marchini, Jonathan
Wang, Jian
Mott, Richard
Xu, Qi
Wang, Jun
Kendler, Kenneth S.
Flint, Jonathan
availability:
available
types:
sequence
description:
Major depressive disorder (MDD) is one of the most frequently encountered forms of mental illness and a leading cause of disability worldwide. However, due to the high heterogeneity of the disease, no robustly replicated genome loci have been identified. We have collected more than 12000 samples from 45 cities in China collaborated with local hospital. Most of the data were collected from 2007 to 2010 in different batches. Here, we performed low-coverage whole-genome sequencing of 5,303 Chinese women with recurrent MDD selected to reduce phenotypic heterogeneity, and 5,337 controls screened to exclude MDD. The sequencing reads were aligned to human reference genome GRCH37 and an average sequencing depth of 1.7x were achieved. Based on this dataset, we identified about 32 million SNPs and the association of them with MDD was analyzed. The availability of this big dataset will be vey helpful for the genetic studies of other complex trait in Chinese population. For the data available here are bam files storing the mapping result for each samples.
accessURL: https://doi.org/10.5524/100155
storedIn:
GigaScience Database
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
GigaDB
homePage: http://gigadb.org/
ID:
SCR:006565
name:
Giga Science Database

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