Converging findings from linkage and association analyses on susceptibility genes for smoking and other addictions.
- Authors
- Yang, J; Li, M D
- Year
- 2016
- Journal
- Molecular psychiatry
- PMID
- 27166759
- DOI
- 10.1038/mp.2016.67
- PMCID
- PMC4956568
Experimental approaches to genetic studies of complex traits evolve with technological advances. How do discoveries using different approaches advance our knowledge of the genetic architecture underlying complex diseases/traits? Do most of the findings of newer techniques, such as genome-wide association study (GWAS), provide more information than older ones, for example, genome-wide linkage study? In this review, we address these issues by developing a nicotine dependence (ND) genetic susceptibility map based on the results obtained by the approaches commonly used in recent years, namely, genome-wide linkage, candidate gene association, GWAS and targeted sequencing. Converging and diverging results from these empirical approaches have elucidated a preliminary genetic architecture of this intractable psychiatric disorder and yielded new hypotheses on ND etiology. The insights we obtained by putting together results from diverse approaches can be applied to other complex diseases/traits. In sum, developing a genetic susceptibility map and keeping it updated are effective ways to keep track of what we know about a disease/trait and what the next steps may be with new approaches.
The ND genetic susceptibility map with nominated linkage peaks and candidate genes, as suggested by genome-wide linkage, hypothesis-driven candidate gene association (CAS), genome-wide association (GWAS), and targeted sequencing (next-generation sequencing; NGS) studies. Linkage peaks are marked in light gray; CAS, GWAS, and NGS results are presented as gene names at the outer, middle, and inner rings, respectively.
| # | Section | Preview |
|---|---|---|
| 40 | FUTURE DIRECTIONS | Technological advances enable the development of different experimental approaches. A genetic⦠|
| 41 | FUTURE DIRECTIONS | Although the sample size of candidate gene association studies has increased over the years⦠|
| 42 | FUTURE DIRECTIONS | However, it is important to acknowledge that the genetic liability accounted for by each of the 47β¦ |
| 43 | FUTURE DIRECTIONS | the molecular and neurobehavioral functional consequences of BDNF Met66Val polymorphism (rs6265) for⦠|
No entities extracted from this document yet.
No uploaded files.
In this knowledge base
| Title | Year | PMID |
|---|---|---|
| The genetic epidemiology of substance use disorder: A review. | 2017 | 28938182 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Debiased lasso after sample splitting for estimation and inference in high-dimensional generalized linear models. | Vazquez O et al. | β | 2025 | β |
| Comprehensive Analysis of the Gene Expression Profiles of Rat Brain Tissues under Environmental Exposure to Nicotine. | Liu W et al. | β | 2024 | β |
| Integrative analysis of genetics, epigenetics and RNA expression data reveal three susceptibility loci for smoking behavior in Chinese Han population. | Li MD et al. | β | 2024 | β |
| Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective. | Cushnie AK et al. | β | 2023 | β |
| Editorial: Rising stars in molecular psychiatry. | Yang Z et al. | β | 2023 | β |
| Single nucleotide polymorphisms rs148582811 regulates its host gene <i>ARVCF</i> expression to affect nicotine-associated hippocampus-dependent memory. | Yang Z et al. | β | 2023 | β |
| Dopamine DRD2 and DRD3 Polymorphisms Involvement in Nicotine Dependence in Patients with Treatment-Resistant Mental Disorders. | Del Casale A et al. | β | 2022 | β |
| Flourishing as a guide to intervention: a national multicenter study of general surgery residents. | Greenberg AL et al. | β | 2022 | β |
| Identification of a Novel Functional Non-synonymous Single Nucleotide Polymorphism in Frizzled Class Receptor 6 Gene for Involvement in Depressive Symptoms. | Han H et al. | β | 2022 | β |
| Investigation of the genetic effect of 56 tobacco-smoking susceptibility genes on DNA methylation and RNA expression in human brain. | Yang Z et al. | β | 2022 | β |
| Determination of shared genetic etiology and possible causal relations between tobacco smoking and depression. | Yao Y et al. | β | 2021 | β |
| Gene-based association analysis reveals involvement of LAMA5 and cell adhesion pathways in nicotine dependence in African- and European-American samples. | Fan R et al. | β | 2021 | β |
| Smoking Modifies Pancreatic Cancer Risk Loci on 2q21.3. | Mocci E et al. | β | 2021 | β |
| Dopamine beta-hydroxylase and its genetic variants in human health and disease. | Gonzalez-Lopez E et al. | β | 2020 | β |
| Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals. | Xu K et al. | β | 2020 | β |
| Nicotinic acetylcholine receptors and nicotine addiction: A brief introduction. | Wittenberg RE et al. | β | 2020 | β |
| Prediction of Smoking Behavior From Single Nucleotide Polymorphisms With Machine Learning Approaches. | Xu Y et al. | β | 2020 | β |
| Neurogenetic determinants and mechanisms of addiction to nicotine and smoked tobacco. | Sharp BM et al. | β | 2019 | β |
| Association and cis-mQTL analysis of variants in CHRNA3-A5, CHRNA7, CHRNB2, and CHRNB4 in relation to nicotine dependence in a Chinese Han population. | Liu Q et al. | β | 2018 | β |
| Association and cis-mQTL analysis of variants in serotonergic genes associated with nicotine dependence in Chinese Han smokers. | Han H et al. | β | 2018 | β |
| Molecular, Neuronal, and Behavioral Effects of Ethanol and Nicotine Interactions. | Klenowski PM et al. | β | 2018 | β |
| Towards diversity in genomics: The emergence of neurogenomics in Africa? | Quansah E et al. | β | 2018 | β |
| GRONS: a comprehensive genetic resource of nicotine and smoking. | Fang Z et al. | β | 2017 | β |
| Pleiotropy of genetic variants on obesity and smoking phenotypes: Results from the Oncoarray Project of The International Lung Cancer Consortium. | Wang T et al. | β | 2017 | β |
| Significant association of the CHRNB3-CHRNA6 gene cluster with nicotine dependence in the Chinese Han population. | Wen L et al. | β | 2017 | β |
| The genetic epidemiology of substance use disorder: A review. | Prom-Wormley EC et al. | β | 2017 | β |