A Sequence Kernel Association Test for Dichotomous Traits in Family Samples under a Generalized Linear Mixed Model | Zendy

Qi Yan | Zendy; Hemant K. Tiwari | Zendy; Nengjun Yi | Zendy; Guimin Gao | Zendy; Kui Zhang | Zendy; WanYu Lin | Zendy; XiangYang Lou | Zendy; Xiangqin Cui | Zendy; Nianjun Liu | Zendy

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A Sequence Kernel Association Test for Dichotomous Traits in Family Samples under a Generalized Linear Mixed Model

Author(s) -

Qi Yan,

Hemant K. Tiwari,

Nengjun Yi,

Guimin Gao,

Kui Zhang,

WanYu Lin,

XiangYang Lou,

Xiangqin Cui,

Nianjun Liu

Publication year - 2015

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 - 10.1159/000375409

Subject(s) - type i and type ii errors , association test , kernel (algebra) , association (psychology) , statistics , genetic association , set (abstract data type) , mathematics , sequence (biology) , kernel method , linear model , computer science , machine learning , genetics , biology , psychology , genotype , support vector machine , combinatorics , single nucleotide polymorphism , psychotherapist , gene , programming language

The existing methods for identifying multiple rare variants underlying complex diseases in family samples are underpowered. Therefore, we aim to develop a new set-based method for an association study of dichotomous traits in family samples.

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