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Using genome-wide complex trait analysis to quantify 'missing heritability' in Parkinson's disease.

Abstract:

Genome-wide association studies (GWASs) have been successful at identifying single-nucleotide polymorphisms (SNPs) highly associated with common traits; however, a great deal of the heritable variation associated with common traits remains unaccounted for within the genome. Genome-wide complex trait analysis (GCTA) is a statistical method that applies a linear mixed model to estimate phenotypic variance of complex traits explained by genome-wide SNPs, including those not associated with the t...

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Publisher copy:
10.1093/hmg/dds335

Authors


Keller, MF More by this author
Bettella, F More by this author
Nicolaou, N More by this author
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Journal:
Human molecular genetics
Volume:
21
Issue:
22
Pages:
4996-5009
Publication date:
2012-11-05
DOI:
EISSN:
1460-2083
ISSN:
0964-6906
URN:
uuid:c02dc967-282f-4ca0-b50b-d641cd8aee7a
Source identifiers:
359679
Local pid:
pubs:359679

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