Table 1.
Overview of GWAS data used in MVMR
| Phenotype | Unit | Number of participants | Number of lead SNPs | Explained variance by lead SNPs | Ancestry | Consortium/cohort | Author | Year of publication | PubMed ID |
|---|---|---|---|---|---|---|---|---|---|
| Years of schooling [24] | SD (4.2 years) | 1,131,881 | 1271 | 11% | European | SSGAC | Lee et al | 2018 | 30,038,396 |
| BMI [27] | kg/m2 | 681,275 | 941 | 6% | European | GIANT | Yengo et al | 2018 | 30,124,842 |
| SBP [29] | mmHg | 775,601 | 970 | 5.7% | European | UKBB+ICBP | Evangelou et al | 2018 | 30,224,653 |
| DBP [29] | mmHg | 775,601 | 962 | 5.3% | European | UKBB+ICBP | Evangelou et al | 2018 | 30,224,653 |
| Type 2 diabetes [25] | Yes vs no |
74,124 cases 824,006 control participants |
403 | 18% | European | DIAGRAM | Mahajan et al | 2018 | 30,297,969 |
| Smoking initiation [30] | Ever vs never |
557,337 cases 674,754 control participants |
378 | 2.3% | European | GSCAN | Liu et al | 2019 | 30,643,251 |
| PA (accelerometry) [31] | SD (not further specified) | 91,105 | 5 | 0.06% | European | UKBB | Doherty et al | 2018 | 30,531,941 |
| TV watching [28] | SD (1.5 h) | 408,815 | 152 | 2.3% | European | UKBB | van de Vegte et al | 2020 | 32,317,632 |
DIAGRAM, DIAbetes Genetics Replication And Meta-analysis; GIANT, Genetic Investigation of Anthropometric Traits; GSCAN, GWAS & Sequencing Consortium of Alcohol and Nicotine use; ICBP, International Consortium for Blood Pressure; SSGAC, Social Science Genetic Association Consortium; TV, television; UKBB, UK Biobank