seXY: a tool for sex inference from genotype arrays | Zendy

David C. Qian | Zendy; Jonathan A. Busam | Zendy; Xiangjun Xiao | Zendy; Tracy A. O’Mara | Zendy; Rosalind A. Eeles | Zendy; Fredrick R. Schumacher | Zendy; Catherine M. Phelan | Zendy; Christopher I. Amos | Zendy

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seXY: a tool for sex inference from genotype arrays

Author(s) -

David C. Qian,

Jonathan A. Busam,

Xiangjun Xiao,

Tracy A. O’Mara,

Rosalind A. Eeles,

Fredrick R. Schumacher,

Catherine M. Phelan,

Christopher I. Amos

Publication year - 2016

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/btw696

Subject(s) - genome wide association study , concordance , inference , loss of heterozygosity , genotype , biology , chromosome , logistic regression , computational biology , computer science , genetics , artificial intelligence , single nucleotide polymorphism , machine learning , gene , allele

Checking concordance between reported sex and genotype-inferred sex is a crucial quality control measure in genome-wide association studies (GWAS). However, limited insights exist regarding the true accuracy of software that infer sex from genotype array data.

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