Multi-omic and multi-species meta-analyses of nicotine consumption

Citation

Palmer, Rohan H. C.; Benca-Bachman, Chelsie E.; Huggett, Spencer B.; Bubier, Jason A.; McGeary, John E.; Ramgiri, Nikhil; Srijeyanthan, Jenani; Yang, Jingjing; Visscher, Peter M.; & Yang, Jian, et al. (2021). Multi-omic and multi-species meta-analyses of nicotine consumption. Translational Psychiatry. vol. 11 (1) pp. 98

Abstract

Cross-species translational approaches to human genomic analyses are lacking. The present study uses an integrative framework to investigate how genes associated with nicotine use in model organisms contribute to the genetic architecture of human tobacco consumption. First, we created a model organism geneset by collecting results from five animal models of nicotine exposure (RNA expression changes in brain) and then tested the relevance of these genes and flanking genetic variation using genetic data from human cigarettes per day (UK BioBank N = 123,844; all European Ancestry). We tested three hypotheses: (1) DNA variation in, or around, the ‘model organism geneset’ will contribute to the heritability to human tobacco consumption, (2) that the model organism genes will be enriched for genes associated with human tobacco consumption, and (3) that a polygenic score based off our model organism geneset will predict tobacco consumption in the AddHealth sample (N = 1667; all European Ancestry). Our results suggested that: (1) model organism genes accounted for ~5–36% of the observed SNP-heritability in human tobacco consumption (enrichment: 1.60–31.45), (2) model organism genes, but not negative control genes, were enriched for the gene-based associations (MAGMA, H-MAGMA, SMultiXcan) for human cigarettes per day, and (3) polygenic scores based on our model organism geneset predicted cigarettes per day in an independent sample. Altogether, these findings highlight the advantages of using multiple species evidence to isolate genetic factors to better understand the etiological complexity of tobacco and other nicotine consumption.

URL

https://doi.org/10.1038/s41398-021-01231-y

Keyword(s)

addiction

Reference Type

Journal Article

Journal Title

Translational Psychiatry

Author(s)

Palmer, Rohan H. C.
Benca-Bachman, Chelsie E.
Huggett, Spencer B.
Bubier, Jason A.
McGeary, John E.
Ramgiri, Nikhil
Srijeyanthan, Jenani
Yang, Jingjing
Visscher, Peter M.
Yang, Jian
Knopik, Valerie S.
Chesler, Elissa J.

Year Published

2021

Volume Number

11

Issue Number

1

Pages

98

ISSN/ISBN

2158-3188

DOI

10.1038/s41398-021-01231-y

Reference ID

5893