Title |
Meta-analysis methods for genome-wide association studies and beyond
|
---|---|
Published in |
Nature Reviews Genetics, May 2013
|
DOI | 10.1038/nrg3472 |
Pubmed ID | |
Authors |
Evangelos Evangelou, John P. A. Ioannidis |
Abstract |
Meta-analysis of genome-wide association studies (GWASs) has become a popular method for discovering genetic risk variants. Here, we overview both widely applied and newer statistical methods for GWAS meta-analysis, including issues of interpretation and assessment of sources of heterogeneity. We also discuss extensions of these meta-analysis methods to complex data. Where possible, we provide guidelines for researchers who are planning to use these methods. Furthermore, we address special issues that may arise for meta-analysis of sequencing data and rare variants. Finally, we discuss challenges and solutions surrounding the goals of making meta-analysis data publicly available and building powerful consortia. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 47% |
United Kingdom | 2 | 12% |
Netherlands | 2 | 12% |
Russia | 1 | 6% |
Mexico | 1 | 6% |
Spain | 1 | 6% |
Unknown | 2 | 12% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 10 | 59% |
Members of the public | 7 | 41% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 22 | 2% |
Germany | 8 | <1% |
United Kingdom | 7 | <1% |
France | 5 | <1% |
Belgium | 4 | <1% |
Australia | 3 | <1% |
Sweden | 2 | <1% |
Brazil | 2 | <1% |
Austria | 2 | <1% |
Other | 23 | 2% |
Unknown | 1016 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 302 | 28% |
Researcher | 229 | 21% |
Student > Master | 138 | 13% |
Student > Bachelor | 80 | 7% |
Student > Doctoral Student | 50 | 5% |
Other | 176 | 16% |
Unknown | 119 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 413 | 38% |
Biochemistry, Genetics and Molecular Biology | 193 | 18% |
Medicine and Dentistry | 126 | 12% |
Computer Science | 55 | 5% |
Mathematics | 28 | 3% |
Other | 113 | 10% |
Unknown | 166 | 15% |