Complex Phenotypes and the Use of Polygenic Scores to Investigate Gene × Environment Interactions for Substance Use

Author(s):  
Michael Windle

The chapter suggests the need of a “second-generation” candidate gene approach to adapt to first-generation limitations and to strengthen efforts to study GE interactions. The sample sizes associated with many phenotypes and areas of study in the literature (e.g., clinical trials, neuroimaging studies) are unlikely to yield sample sizes in the area of GWA and NGS studies (i.e., 200,000-300,000 participants). However, by building upon prior limitations in the candidate gene literature, using findings from GWA and NGS studies and meta-analyses, using multiple methods of analyses (e.g., gene expression analysis; methylation analysis), and using theory and prior substantive research to guide hypothesis testing, progress can be made on G X E interactions for complex phenotypes. Several illustrative path models were provided in this chapter to provide a visual frame for how we have approached G X E interactions in the past, and how, going forward, we might proceed to investigate multiple polygenic by multiple environmental models. This level of complexity may be necessary to advance the field to address the many exciting research questions of interest, as well as the challenges that confront us as we attempt to move this knowledge from discovery to practice.

2019 ◽  
Author(s):  
Frank D Mann ◽  
Andrey A Shabalin ◽  
Anna R Docherty ◽  
Robert F Krueger

AbstractBackgroundWhen a randomized experimental study is not possible, Mendelian randomization studies use genetic variants or polygenic scores as instrumental variables to control for gene-environment correlation while estimating the association between an exposure and outcome. Polygenic scores have become increasingly potent predictors of their respective phenotypes, satisfying the relevance criteria of an instrumental variable. Evidence for pleiotropy, however, casts doubt on whether the exclusion criteria of an instrumental variable is likely to hold for polygenic scores of complex phenotypes, and a number of methods have been developed to adjust for pleiotropy in Mendelian randomization studies.MethodUsing multiple polygenic scores and path analysis we implement an extension of genetic instrumental variable regression, genetic path analysis, and use it to test whether educational attainment is associated with two health-related outcomes in adulthood, body mass index and smoking initiation, while estimating and controlling for both gene-environment correlations and pleiotropy.ResultsGenetic path analysis provides compelling evidence for a complex set of gene-environment transactions that undergird the relations between educational attainment and health-related outcomes in adulthood. Importantly, results are consistent with education having a protective effect on body mass index and smoking initiation, even after controlling for gene-environment correlations and pleiotropy.ConclusionsThe proposed method is capable of addressing the exclusion criteria for a sound instrumental variable and, consequently, has the potential to help advance Mendelian randomization studies of complex phenotypes.


Neurology ◽  
2010 ◽  
Vol 74 (6) ◽  
pp. 502-506 ◽  
Author(s):  
S. J. Kolb ◽  
P. J. Snyder ◽  
E. J. Poi ◽  
E. A. Renard ◽  
A. Bartlett ◽  
...  

Genetics ◽  
2002 ◽  
Vol 162 (3) ◽  
pp. 1423-1434
Author(s):  
Cristina M Menéndez ◽  
Enrique Ritter ◽  
Ralf Schäfer-Pregl ◽  
Birgit Walkemeier ◽  
Alexandra Kalde ◽  
...  

Abstract A candidate gene approach has been used as a first step to identify the molecular basis of quantitative trait variation in potato. Sugar content of tubers upon cold storage was the model trait chosen because the metabolic pathways involved in starch and sugar metabolism are well known and many of the genes have been cloned. Tubers of two F1 populations of diploid potato grown in six environments were evaluated for sugar content after cold storage. The populations were genotyped with RFLP, AFLP, and candidate gene markers. QTL analysis revealed that QTL for glucose, fructose, and sucrose content were located on all potato chromosomes. Most QTL for glucose content mapped to the same positions as QTL for fructose content. QTL explaining >10% of the variability for reducing sugars were located on linkage groups I, III, VII, VIII, IX, and XI. QTL consistent across populations and/or environments were identified. QTL were linked to genes encoding invertase, sucrose synthase 3, sucrose phosphate synthase, ADP-glucose pyrophosphorylase, sucrose transporter 1, and a putative sucrose sensor. The results suggest that allelic variants of enzymes operating in carbohydrate metabolic pathways contribute to the genetic variation in cold sweetening.


Author(s):  
Jorge Duconge ◽  
Ednalise Santiago ◽  
Dagmar F. Hernandez‐Suarez ◽  
Mariangeli Moneró ◽  
Andrés López‐Reyes ◽  
...  

PLoS Medicine ◽  
2007 ◽  
Vol 4 (12) ◽  
pp. e358 ◽  
Author(s):  
Fina A. S Kurreeman ◽  
Leonid Padyukov ◽  
Rute B Marques ◽  
Steven J Schrodi ◽  
Maria Seddighzadeh ◽  
...  

1990 ◽  
Vol 157 (3) ◽  
pp. 433-436 ◽  
Author(s):  
Pinkhas Sirota ◽  
Moshe Frydman ◽  
Lea Sirota

Five index patients and three of their first-degree relatives were affected both by schizophrenia and Marfan syndrome. Since the association appears statistically significant, the possibility of linkage disequilibrium between adjacent genes or a cytogenetic abnormality causing both disorders is suggested. These hypotheses are testable and hold promise in attempting to map the ‘schizophrenia susceptibility gene’ by the candidate-gene approach.


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