Name
Title | ||
|---|---|---|
Mendelian randomisation analysis of clustered causal effects of body mass on cardiometabolic biomarkers. |
Abstract | ||
|---|---|---|
The methods discussed represent a useful scientific tool, although they assume the validity of conditions that are (at best) only partially verifiable. This paper provides a rigorous account of such conditions. The results of our analysis provide a proof-of-concept illustration of the potential usefulness of Mendelian Randomisation in genomic biobank studies aiming to dissect the molecular causes of disease, and to identify candidate pharmacological targets. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12859-018-2178-2 | BMC Bioinformatics |
Keywords | Field | DocType |
Cardiovascular disease,Causal inference,Egger regression,Metabolomics,Multiple instrumental variables,Weighted median estimator | Causal inference,Disease,Observational study,Biology,Mendelian inheritance,Body mass index,Metabolomics,Obesity,Bioinformatics,Metabolic syndrome | Journal |
Volume | Issue | ISSN |
19-S | 7 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Susana Conde | 1 | 0 | 0.34 |
| Xiaoguang Xu | 2 | 0 | 0.34 |
| Hui Guo | 3 | 3 | 1.21 |
| Markus Perola | 4 | 0 | 0.34 |
| Teresa Fazia | 5 | 0 | 0.34 |
| Luisa Bernardinelli | 6 | 0 | 0.34 |
| Carlo Berzuini | 7 | 0 | 0.34 |