HAPRAP: a haplotype-based iterative method for statistical fine mapping using GWAS summary statistics

MOTIVATION: Fine mapping is a widely used approach for identifying the causal variant(s) at disease-associated loci. Standard methods (e.g. multiple regression) require individual level genotypes. Recent fine mapping methods using summary-level data require the pairwise correlation coefficients ([Fo...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Bioinformatics
Päätekijät: Zheng, Jie, Rodriguez, Santiago, Laurin, Charles, Baird, Denis, Trela-Larsen, Lea, Erzurumluoglu, Mesut A, Zheng, Yi, White, Jon, Giambartolomei, Claudia, Zabaneh, Delilah, Morris, Richard, Kumari, Meena, Casas, Juan P, Hingorani, Aroon D, Evans, David M, Gaunt, Tom R, Day, Ian N M
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Oxford University Press 2017
Aiheet:
Original Papers
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC5544112/
https://ncbi.nlm.nih.gov/pubmed/27591082
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw565
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