A functional variant in <i>SLC1A3</i> influences ADHD risk by disrupting a hsa‐miR‐3171 binding site: A two‐stage association study

Huang, Xin; Zhang, Qi; Chen, Xinzhen; Gu, Xue; Wang, Min; Wu, Jing

doi:10.1111/gbb.12574

Cited by 8 publications

(9 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Classic association studies included a unique set of genes and polymorphisms selected on the basis of the results of gene prioritization studies for ADHD and/or obesity supplemented with GWAS results. Polymorphisms in the KCNIP1 (rs1541665) [64], SLC1A3 (rs1049522) [65], MTHFR (rs1801131) [66], ADRA2A (rs18005) [67] and SLC6A2 (rs5569) [68,69] genes were associated with ADHD risk, which is in line with previous reports.…”

Section: Genes and Polymorphismssupporting

confidence: 91%

Common and Unique Genetic Background between Attention-Deficit/Hyperactivity Disorder and Excessive Body Weight

Dmitrzak‐Węglarz

Paszyńska

Bilska

et al. 2021

Genes

View full text Add to dashboard Cite

Comorbidity studies show that children with ADHD have a higher risk of being overweight and obese than healthy children. This study aimed to assess the genetic alternations that differ between and are shared by ADHD and excessive body weight (EBW). The sample consisted of 743 Polish children aged between 6 and 17 years. We analyzed a unique set of genes and polymorphisms selected for ADHD and/or obesity based on gene prioritization tools. Polymorphisms in the KCNIP1, SLC1A3, MTHFR, ADRA2A, and SLC6A2 genes proved to be associated with the risk of ADHD in the studied population. The COMT gene polymorphism was one that specifically increased the risk of EBW in the ADHD group. Using the whole-exome sequencing technique, we have shown that the ADHD group contains rare and protein-truncating variants in the FBXL17, DBH, MTHFR, PCDH7, RSPH3, SPTBN1, and TNRC6C genes. In turn, variants in the ADRA2A, DYNC1H1, MAP1A, SEMA6D, and ZNF536 genes were specific for ADHD with EBW. In this way, we confirmed, at the molecular level, the existence of genes specifically predisposing to EBW in ADHD patients, which are associated with the biological pathways involved in the regulation of the reward system, intestinal microbiome, and muscle metabolism.

show abstract

Section: Genes and Polymorphismssupporting

confidence: 91%

Common and Unique Genetic Background between Attention-Deficit/Hyperactivity Disorder and Excessive Body Weight

Dmitrzak‐Węglarz

Paszyńska

Bilska

et al. 2021

Genes

View full text Add to dashboard Cite

show abstract

“…Then, we searched PubMed and Embase for researches related to these SNPs. SNPs that had been reported in previous studies [15][16][17][18][19][20][21] were preferred. Finally, a total of 15 SNPs, including SNPs in Gamma-Aminobutyric Acid Type A Receptor Subunit Alpha 2 (GABRA2; rs11503014, rs279827, rs279858, rs35496835), Gamma-Aminobutyric Acid Type A Receptor Subunit Beta 1 (GABRB1; rs6290, rs1372496, rs4627835, rs16860087), Gamma-Aminobutyric Acid Type A Receptor Subunit Gamma 2 (GABRG2; rs211037, rs11135176, rs209358), Glutamate Decarboxylase 1 (GAD1; rs3749034, rs3791878) and Solute carrier family 1 member 3 (SLC1A3; rs1049524, rs1049522), were genotyped using the Agena MassArray Analyzer 4 system (Agena, USA).…”

Section: Dna Isolation and Genotypingmentioning

confidence: 99%

The Effects of Gene Variations of GABRA2, GABRB1, GABRG2, GAD1 and SLC1A3 on Patients with Propofol During Anesthesia Induction

Zhang¹,

Zheng²,

Ma³

et al. 2021

PGPM

View full text Add to dashboard Cite

Purpose Propofol is one of the most commonly used intravenous sedatives in general anesthesia, while the individual variations of propofol are apparent. The objective of this study was to investigate the influence of genetic variations in GABAergic neurons and glutamatergic neurons on time to loss of consciousness (LOC) and the incidence of hypotension during anesthesia induction. Patients and Methods A total of 140 Chinese patients undergoing thyroid surgery or breast surgery were recruited. Genotyping of candidate genes was carried out using the Agena Bioscience MassARRAY system. Anesthesia induction was initiated with a propofol target plasma concentration (Cp) of 4.0 μg mL −1 . The LOC latency, systolic blood pressure, diastolic blood pressure, mean arterial pressure were documented. Results We found that GABRA2 rs35496835, GABRB1 rs1372496, GABRG2 rs11135176, GABRG2 rs209358, GAD1 rs3791878, SLC1A3 rs1049522 and gender were significant determinants of the patient’s LOC latency following propofol administration. GABRA2 rs11503014 was highly correlated with blood pressure reduction during anesthesia induction. Multiple linear regression analysis revealed that GABRB1 rs1372496, GABRG2 rs11135176, and SLC1A3 rs1049522 accounted for 35.3% variations in LOC latency following propofol administration. Conclusion Our findings indicate that genetic variants of GABRA2, GABRB1, GABRG2, GAD1 and SLC1A3 may have influence on propofol susceptibility, which would be an important guidance towards building clinical models that can precisely predict the efficacy of propofol with various populations before surgery.

show abstract

“…These regions contain a number of genes of putative relevance to the trait, some of which we highlight next. At the 5p13 SNP cluster, the nearest gene is SLC1A3, a brain expressed glutamate transporter which has been implicated in some behavioral phenotypes, e.g., attention deficit hyperactivity disorder, mood disorders, corticolimbic connectivity during affective regulation (Huang et al, 2019;Medina et al, 2016;Poletti et al, 2018;van Amen-Hellebrekers et al, 2016). The 10q23 SNP cluster overlaps with GRID1, which encodes a glutamate receptor channel subunit, and has also been implicated in various behavioral phenotypes (e.g., mood disorders; Fallin et al, 2005;Zhang et al, 2018) and when deleted in the mouse leads to changes in emotional and social behaviors (Yadav et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

Genome-Wide Linkage and Association Study of Childhood Gender Nonconformity in Males

et al. 2021

View full text Add to dashboard Cite

Male sexual orientation is influenced by environmental and complex genetic factors. Childhood gender nonconformity (CGN) is one of the strongest correlates of homosexuality with substantial familiality. We studied brothers in families with two or more homosexual brothers (409 concordant sibling pairs in 384 families, as well as their heterosexual brothers), who self-recalled their CGN. To map loci for CGN, we conducted a genome-wide linkage scan (GWLS) using SNP genotypes. The strongest linkage peaks, each with significant or suggestive two-point LOD scores and multipoint LOD score support, were on chromosomes 5q31 (maximum two-point LOD = 4.45), 6q12 (maximum two-point LOD = 3.64), 7q33 (maximum two-point LOD = 3.09), and 8q24 (maximum two-point LOD = 3.67), with the latter not overlapping with previously reported strongest linkage region for male sexual orientation on pericentromeric chromosome 8. Family-based association analyses were used to identify associated variants in the linkage regions, with a cluster of SNPs (minimum association p = 1.3 × 10–8) found at the 5q31 linkage peak. Genome-wide, clusters of multiple SNPs in the 10–6 to 10–8p-value range were found at chromosomes 5p13, 5q31, 7q32, 8p22, and 10q23, highlighting glutamate-related genes. This is the first reported GWLS and genome-wide association study on CGN. Further increasing genetic knowledge about CGN and its relationships to male sexual orientation should help advance our understanding of the biology of these associated traits.

show abstract

A functional variant in SLC1A3 influences ADHD risk by disrupting a hsa‐miR‐3171 binding site: A two‐stage association study

Cited by 8 publications

References 50 publications

Common and Unique Genetic Background between Attention-Deficit/Hyperactivity Disorder and Excessive Body Weight

Common and Unique Genetic Background between Attention-Deficit/Hyperactivity Disorder and Excessive Body Weight

The Effects of Gene Variations of GABRA2, GABRB1, GABRG2, GAD1 and SLC1A3 on Patients with Propofol During Anesthesia Induction

Genome-Wide Linkage and Association Study of Childhood Gender Nonconformity in Males

Contact Info

Product

Resources

About