ATOM: a powerful gene-based association test by combining optimally weighted markers | Zendy

Mingyao Li | Zendy; Kai Wang | Zendy; Struan F.A. Grant | Zendy; Hákon Hákonarson | Zendy; Chun Li | Zendy

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ATOM: a powerful gene-based association test by combining optimally weighted markers

Author(s) -

Mingyao Li,

Kai Wang,

Struan F.A. Grant,

Hákon Hákonarson,

Chun Li

Publication year - 2008

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btn641

Subject(s) - international hapmap project , linkage disequilibrium , genetic association , quantitative trait locus , genome wide association study , genetics , single nucleotide polymorphism , biology , computational biology , trait , association mapping , locus (genetics) , candidate gene , multiple comparisons problem , gene , computer science , genotype , statistics , mathematics , programming language

Large-scale candidate-gene and genome-wide association studies genotype multiple SNPs within or surrounding a gene, including both tag and functional SNPs. The immense amount of data generated in these studies poses new challenges to analysis. One particularly challenging yet important question is how to best use all genetic information to test whether a gene or a region is associated with the trait of interest.

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