Identifying rare and common disease associated variants in genomic data using Parkinson's disease as a model

Journal of Biomedical Science

Volumn 21, Issue 1, 2014, Pages

  Lin, Ying Chao ^a,b,c   Hsieh, Ai Ru ^d   Hsiao, Ching Lin ^c   Wu, Shang Jung ^c   Wang, Hui Min ^c   Lian, Ie Bin ^e   Fann, Cathy S J ^a,b,c  

^a NATIONAL YANG MING UNIVERSITY   (Taiwan)

^b INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^c INSTITUTE OF BIOMEDICAL SCIENCES   (Taiwan)

^d CHINA MEDICAL UNIVERSITY   (Taiwan)

^e NATIONAL CHANGHUA UNIVERSITY OF EDUCATION   (Taiwan)

Author keywords

Genomic data; GWAS; HAS2; Kremen1; Next generation association study; Parkinson's disease; Rare variant association; Sequencing association study; SNCA; Wnt signalling pathway

Indexed keywords

ALPHA SYNUCLEIN; HYALURONAN SYNTHASE 2; SYNTHETASE; UNCLASSIFIED DRUG;

AMINO ACID SEQUENCE; ARTICLE; DISEASE ASSOCIATION; DISEASE MARKER; GENE FREQUENCY; GENE SEQUENCE; GENETIC VARIABILITY; GENOMICS; HUMAN; NONHUMAN; PARKINSON DISEASE; WNT SIGNALING PATHWAY; CASE CONTROL STUDY; GENETIC ASSOCIATION; GENETICS; PROCEDURES; THEORETICAL MODEL;

CASE-CONTROL STUDIES; GENETIC VARIATION; GENOME-WIDE ASSOCIATION STUDY; HUMANS; MODELS, THEORETICAL; PARKINSON DISEASE;

EID: 84908457848     PISSN: 10217770     EISSN: 14230127     Source Type: Journal    
DOI: 10.1186/s12929-014-0088-9     Document Type: Article

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