ArticleFrontiers in genetics2019
Considering Genetic Heterogeneity in the Association Analysis Finds Genes Associated With Nicotine Dependence.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Transcriptomic Analysis of the Human Habenula in Schizophrenia.The American journal of psychiatry · 2025Article
- Sex- and genotype-dependent nicotine plus cue-primed reinstatement is enhanced in adolescent Sprague Dawley rats containing the humanFrontiers in psychiatry · 2022Article
- Expectile Neural Networks for Genetic Data Analysis of Complex Diseases.IEEE/ACM transactions on computational biology and bioinformaticsArticle
- Functional Neural Networks for High-Dimensional Genetic Data Analysis.IEEE/ACM transactions on computational biology and bioinformaticsArticle
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
While substantial progress has been made in finding genetic variants associated with nicotine dependence (ND), a large proportion of the genetic variants remain undiscovered. The current research focuses have shifted toward uncovering rare variants, gene-gene/gene-environment interactions, and structural variations predisposing to ND, the impact of genetic heterogeneity in ND has been nevertheless paid less attention. The study of genetic heterogeneity in ND not only could enhance the power of detecting genetic variants with heterogeneous effects in the population but also improve our understanding of genetic etiology of ND. As an initial step to understand genetic heterogeneity in ND, we applied a newly developed heterogeneity weighted U (HWU) method to 26 ND-related genes, investigating heterogeneous effects of these 26 genes in ND. We found no strong evidence of genetic heterogeneity in genes such as
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