Opportunities and challenges of big data for the social sciences: The case of genomic data

被引：10

作者：

Liu, Hexuan ^{[1
,3
,4
]}

Guo, Guang ^{[1
,2
,3
]}

机构：

[1] Univ N Carolina, Dept Sociol, Chapel Hill, NC 27500 USA

[2] Univ N Carolina, Carolina Ctr Genome Sci, Chapel Hill, NC USA

[3] Univ N Carolina, Carolina Populat Ctr, Chapel Hill, NC USA

[4] Univ Cincinnati, Sch Criminal Justice, Cincinnati, OH 45221 USA

来源：

SOCIAL SCIENCE RESEARCH | 2016年 / 59卷

关键词：

Genomic data; Gene-environment interaction; GENE-ENVIRONMENT INTERACTIONS; COMMON SNPS EXPLAIN; BODY-MASS INDEX; WIDE ASSOCIATION; EDUCATIONAL-ATTAINMENT; SOCIOECONOMIC-STATUS; POLYGENIC RISK; COMPLEX TRAITS; WHOLE-GENOME; HERITABILITY;

D O I：

10.1016/j.ssresearch.2016.04.016

中图分类号：

C91 [社会学];

学科分类号：

030301 ; 1204 ;

摘要：

In this paper, we draw attention to one unique and valuable source of big data, genomic data, by demonstrating the opportunities they provide to social scientists. We discuss different types of large-scale genomic data and recent advances in statistical methods and computational infrastructure used to address challenges in managing and analyzing such data. We highlight how these data and methods can be used to benefit social science research. (C) 2016 Elsevier Inc. All rights reserved.

引用

页码：13 / 22

页数：10

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