Abstract:
:Large genome-wide association studies (GWAS) have identified loci that are associated with complex traits and diseases, but index variants are often not causal and reside in non-coding regions of the genome. To gain a better understanding of the relevant biological mechanisms, intermediate traits such as gene expression and protein levels are increasingly being investigated because these are likely mediators between genetic variants and disease outcome. Genetic variants associated with intermediate traits, termed molecular quantitative trait loci (molQTLs), can then be used as instrumental variables in a Mendelian randomization (MR) approach to identify the causal features and mechanisms of complex traits. Challenges such as pleiotropy and the non-specificity of molQTLs remain, and further approaches and methods need to be developed.
journal_name
Trends Mol Medjournal_title
Trends in molecular medicineauthors
Neumeyer S,Hemani G,Zeggini Edoi
10.1016/j.molmed.2019.10.004subject
Has Abstractpub_date
2020-02-01 00:00:00pages
232-241issue
2eissn
1471-4914issn
1471-499Xpii
S1471-4914(19)30266-7journal_volume
26pub_type
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