Convex combination sequence kernel association test for rare‐variant studies

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

FFBSKAT: Fast Family-Based Sequence Kernel Association Test

The kernel machine-based regression is an efficient approach to region-based association analysis aimed at identification of rare genetic variants. However, this method is computationally complex. The running time of kernel-based association analysis becomes especially long for samples with genetic (sub) structures, thus increasing the need to develop new and effective methods, algorithms, and ...

متن کامل

Kernel-based association test.

Association mapping (i.e., linkage disequilibrium mapping) is a powerful tool for positional cloning of disease genes. We propose a kernel-based association test (KBAT), which is a composite function of "P-values of single-locus association tests" and "kernel weights related to intermarker distances and/or linkage disequilibria." The KBAT is a general form of some current test statistics. This ...

متن کامل

Rare-variant association testing for sequencing data with the sequence kernel association test.

Sequencing studies are increasingly being conducted to identify rare variants associated with complex traits. The limited power of classical single-marker association analysis for rare variants poses a central challenge in such studies. We propose the sequence kernel association test (SKAT), a supervised, flexible, computationally efficient regression method to test for association between gene...

متن کامل

Rare Variant Association Testing for Sequencing Data Using the Sequence Kernel Association Test (SKAT)

*These authors contributed equally to this work. 1 Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA 2 Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA 3 Department of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA 4 Department of Biostatistics and Center for Statisti...

متن کامل

Protein-Protein Interaction Extraction Based on Convex Combination Kernel Function

Owing to the effect of classified models was different in Protein-Protein Interaction (PPI) extraction, which was made by different single kernel functions, and only using single kernel function hardly trained the optimal classified model to extract PPI, this paper presents a strategy to find the optimal kernel function from a kernel function set. The strategy is that in the kernel function set...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Genetic Epidemiology

سال: 2020

ISSN: 0741-0395,1098-2272

DOI: 10.1002/gepi.22287