Table 1 Characteristic of studies included in the meta-analysis
Author | Year | Country | Ethnicity | Genotype methods | Source of control | NOS score | HWE |
|---|---|---|---|---|---|---|---|
Ellinghaus et al. | 2011 | Germany | Caucasian | SNPlex and TaqMan | HB | 7 | Does not know |
Ellinghaus et al. | 2011 | Germany | Caucasian | SNPlex and TaqMan | HB | 7 | Does not know |
Ellinghaus et al. | 2011 | Italy | Caucasian | SNPlex and TaqMan | HB | 7 | Does not know |
Papaemmanuil et al. (GWAS-1) | 2009 | UK | Caucasian | Illumina arrays | PB | 8 | 0.778 |
Papaemmanuil et al. (GWAS-2) | 2009 | UK | Caucasian | Illumina arrays | HB | 7 | 0.517 |
Prasad et al. | 2010 | Germany | Caucasian | Kaspar allele-specific PCR | PB | 8 | 0.233 |
Prasad et al. | 2010 | UK | Caucasian | Kaspar allele-specific PCR | HB | 7 | 0.310 |
Vijayakrishnan et al. | 2010 | Thailand | Asian | Kaspar allele-specific PCR | PB | 8 | 0.162 |
Pastorczak et al. | 2011 | Poland | Caucasian | PCR | HB | 7 | 0.454 |
Lautner-Csorba et al. | 2012 | Hungary | Caucasian | Sequenom iPlex Gold MassARRAY technology | HB | 7 | 0.508 |
Orsi et al. | 2012 | France | Caucasian | Principal component analyses (PCA) | PB | 8 | 0.472 |
Ross et al. | 2012 | USA | Caucasian | Taqman | PB | 6 | 0.091 |
Wang et al. | 2013 | China | Asian | PCR | HB | 7 | 0.147 |
Emerenciano et al. | 2014 | Brazil | Mixed | Taqman | HB | 7 | 0.135 |
Al-absi et al. | 2017 | Yemen | Asian | Fluidigm 192.24 Dynamic Array | PB | 6 | 0.149 |
Gharbi et al. | 2016 | Tunisia | Caucasian | PCR | PB | 7 | 0.700 |
Bekker-Mendez et al. | 2016 | Mexico | Mexican | Taqman | HB | 6 | 0.081 |
Bhandari et al. | 2016 | India | Asian | Taqman Illumina | PB | 7 | 0.085 |
Urayama et al. | 2017 | Japan | Asian | HumanCoreExome BeadChip | HB | 6 | Does not know |
Kreile et al. | 2016 | Latvia | Caucasian | PCR-RFLP | PB | 6 | 0.234 |