KinVis: a visualization tool to detect cryptic relatedness in genetic datasets

被引：2

作者：

Ullah, Ehsan ^{[1
]}

Aupetit, Michael ^{[1
]}

Das, Arun ^{[1
]}

Patil, Abhishek ^{[1
]}

Al Muftah, Noora ^{[2
]}

Rawi, Reda ^{[1
,3
]}

Saad, Mohamad ^{[1
]}

Bensmail, Halima ^{[1
]}

机构：

[1] Hamad Bin Khalifa Univ, Qatar Comp Res Inst, Doha, Qatar

[2] Harvard Sch Publ Hlth, Dept Computat Biol & Quantitat Genet, Boston, MA 02115 USA

[3] NIAID, Vaccine Res Ctr, NIH, 9000 Rockville Pike, Bethesda, MD 20892 USA

来源：

BIOINFORMATICS | 2019年 / 35卷 / 15期

关键词：

STRATIFICATION; ANCESTRY;

D O I：

10.1093/bioinformatics/bty1028

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Motivation It is important to characterize individual relatedness in terms of familial relationships and underlying population structure in genome-wide association studies for correct downstream analysis. The characterization of individual relatedness becomes vital if the cohort is to be used as reference panel in other studies for association tests and for identifying ethnic diversities. In this paper, we propose a kinship visualization tool to detect cryptic relatedness between subjects. We utilize multi-dimensional scaling, bar charts, heat maps and node-link visualizations to enable analysis of relatedness information.

引用

页码：2683 / 2685

页数：3

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