A Confidence Set Inference Method for Identifying SNPs That Regulate Quantitative Phenotypes | Zendy

Charalampos Papachristou | Zendy; Shili Lin | Zendy

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A Confidence Set Inference Method for Identifying SNPs That Regulate Quantitative Phenotypes

Author(s) -

Charalampos Papachristou,

Shili Lin

Publication year - 2012

Publication title -

human heredity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.423

H-Index - 62

eISSN - 1423-0062

pISSN - 0001-5652

DOI - 10.1159/000339178

Subject(s) - single nucleotide polymorphism , genetic association , confidence interval , inference , genome wide association study , framingham heart study , biology , computational biology , genetics , computer science , statistics , framingham risk score , mathematics , genotype , medicine , gene , artificial intelligence , disease , pathology

We introduce a family-based confidence set inference (CSI) method that can be used in preliminary genome-wide association studies to obtain confidence sets of SNPs that contribute a specific percentage to the additive genetic variance of quantitative traits.

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