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Literature DB >> 27480368

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

Abstract

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.

Entities: Chemical Disease Gene Species

Keywords: Gene-environment interaction; Genomic data

Mesh：

Year: 2016 PMID： 27480368 PMCID： PMC5480284 DOI： 10.1016/j.ssresearch.2016.04.016

Source DB: PubMed Journal: Soc Sci Res ISSN： 0049-089X

108 in total

1. Gene-environment interactions in genome-wide association studies: a comparative study of tests applied to empirical studies of type 2 diabetes.

Authors: Marilyn C Cornelis; Eric J Tchetgen Tchetgen; Liming Liang; Lu Qi; Nilanjan Chatterjee; Frank B Hu; Peter Kraft
Journal: Am J Epidemiol Date: 2011-12-22 Impact factor: 4.897

2. Invited commentary: GE-Whiz! Ratcheting gene-environment studies up to the whole genome and the whole exposome.

Authors: Duncan C Thomas; Juan Pablo Lewinger; Cassandra E Murcray; W James Gauderman
Journal: Am J Epidemiol Date: 2011-12-22 Impact factor: 4.897

Review 3. Genome-wide association studies for common diseases and complex traits.

Authors: Joel N Hirschhorn; Mark J Daly
Journal: Nat Rev Genet Date: 2005-02 Impact factor: 53.242

4. Genetic sensitivity to peer behaviors: 5HTTLPR, smoking, and alcohol consumption.

Authors: Jonathan Daw; Michael Shanahan; Kathleen Mullan Harris; Andrew Smolen; Brett Haberstick; Jason D Boardman
Journal: J Health Soc Behav Date: 2013-01-04

5. Common SNPs explain a large proportion of the heritability for human height.

Authors: Jian Yang; Beben Benyamin; Brian P McEvoy; Scott Gordon; Anjali K Henders; Dale R Nyholt; Pamela A Madden; Andrew C Heath; Nicholas G Martin; Grant W Montgomery; Michael E Goddard; Peter M Visscher
Journal: Nat Genet Date: 2010-06-20 Impact factor: 38.330

Review 3. Every contact leaves a trace: contact with the criminal justice system, life outcomes, and the intersection with genetics.

Authors: Ryan T Motz; Peter Tanksley; Hexuan Liu; Tesfaye B Mersha; J C Barnes
Journal: Curr Opin Psychol Date: 2018-09-29

3 in total

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

1. Gene-environment interactions in genome-wide association studies: a comparative study of tests applied to empirical studies of type 2 diabetes.

2. Invited commentary: GE-Whiz! Ratcheting gene-environment studies up to the whole genome and the whole exposome.

Review 3. Genome-wide association studies for common diseases and complex traits.

4. Genetic sensitivity to peer behaviors: 5HTTLPR, smoking, and alcohol consumption.

5. Common SNPs explain a large proportion of the heritability for human height.

6. Social disadvantage, genetic sensitivity, and children's telomere length.

7. Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene.

8. Holocaust Exposure Induced Intergenerational Effects on FKBP5 Methylation.

Review 9. RNA-Seq: a revolutionary tool for transcriptomics.

10. Polygenic risk predicts obesity in both white and black young adults.

1. The Intergenerational Transmission of Early Educational Advantages: New Results Based on an Adoption Design.

2. Ethical Issues in Social Science Research Employing Big Data.

Review 3. Every contact leaves a trace: contact with the criminal justice system, life outcomes, and the intersection with genetics.