paperKB
coga / coga-kb
Processing
Help
Sign in

Chunk #4 — Results — Multi-ancestry meta-analyses of TUD.

Source
Multi-ancestry meta-analysis of tobacco use disorder identifies 461 potential risk genes and reveals associations with multiple health outcomes.
Embedded
yes

Text

Our analyses provide corroborative support for nicotinic acetylcholine receptor genes as risk genes for smoking-related traits: CHRNA5 (rs576982, p=3.40E-19, chr. 15; this region includes rs16969968, a well-established functional missense polymorphism [D398N] in CHRNA5, p=2.47E-12), CHRNB2 (rs45490696, p=1.45E-09, chr. 1), CHRNA2 (rs2741339, p=5.21E-17, chr. 8), and CHRNA4 (rs2273500, p=2.84E-22, chr. 20). Second, we identified associations with variants in several genes that modulate dopaminergic transmission, such as the dopamine receptor D2 (DRD2: rs34632468, p=1.04E-11, and rs4936277, p=1.81E-09, chr.11), known for its relationship with dopamine and reward,34 previously associated with nicotine dependence35 and implicated in a recent large-scale GWAS of addiction;36 dopamine beta-hydroxylase (DBH: rs2007153, p=9.35E-21, and rs2519155, p=7.25E-13, chr.9), which encodes an enzyme necessary to convert dopamine to norepinephrine and has been consistently implicated in smoking behaviors;13,37 lysine demethylase 4A (KDM4A: rs489319, p=1.61E-11, chr. 1), previously found to interact with dopaminergic agents and implicated in problematic opioid use;38 phosphodiesterase 4B (PDE4B: rs7528604, p=5.68E-10, chr. 1), which has regulatory effects on dopaminergic pathways and has been implicated in GWAS of externalizing behaviors,39 smoking initiation,37,39 and general liability for addiction;36 and neural cell adhesion