A spectral approach integrating functional genomic annotations for coding and noncoding variants

被引：0

作者：

Iuliana Ionita-Laza

Kenneth McCallum

Bin Xu

Joseph D Buxbaum

机构：

[1] Columbia University,Department of Biostatistics

[2] Columbia University,Department of Psychiatry

[3] Seaver Autism Center for Research and Treatment,Department of Psychiatry

[4] Icahn School of Medicine at Mount Sinai,Department of Genetics and Genomic Sciences

[5] Icahn School of Medicine at Mount Sinai,Department of Neuroscience

[6] Icahn School of Medicine at Mount Sinai,undefined

[7] Icahn School of Medicine at Mount Sinai,undefined

[8] Mindich Child Health and Development Institute,undefined

[9] Icahn School of Medicine at Mount Sinai,undefined

来源：

Nature Genetics | 2016年 / 48卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Iuliana Ionita-Laza, Kenneth McCallum and colleagues developed an unsupervised statistical approach, Eigen, that integrates different functional annotations into a single measure of functional importance for coding and noncoding variants. Their meta-score can outperform the recently proposed CADD score and can be applied to fine-mapping studies.

引用

页码：214 / 220

页数：6

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