2022
DOI: 10.3389/fnmol.2022.882396
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Identification of a Novel Functional Non-synonymous Single Nucleotide Polymorphism in Frizzled Class Receptor 6 Gene for Involvement in Depressive Symptoms

Abstract: Although numerous susceptibility loci for depression have been identified in recent years, their biological function and molecular mechanism remain largely unknown. By using an exome-wide association study for depressive symptoms assessed by the Center for Epidemiological Studies Depression (CES-D) score, we discovered a novel missense single nucleotide polymorphism (SNP), rs61753730 (Q152E), located in the fourth exon of the frizzled class receptor 6 gene (FZD6), which is a potential causal variant and is sig… Show more

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Cited by 3 publications
(3 citation statements)
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“…All these studies strongly demonstrated a significant role of this family in depression [17] . Very recently, we found a SNP rs61753730 located in FZD6 was linked to depression and allele specifically affected the expression of FZD6 [18] .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…All these studies strongly demonstrated a significant role of this family in depression [17] . Very recently, we found a SNP rs61753730 located in FZD6 was linked to depression and allele specifically affected the expression of FZD6 [18] .…”
Section: Discussionmentioning
confidence: 99%
“…Voleti et al showed that virus-mediated inhibition of Fzd6 in the brain resulted in depressive-like behaviors in a rodent model [17] . Very recently, we found a missense single nucleotide polymorphism (SNP) located in FZD6 associated significantly with depressive symptoms [18] , but the underlying mechanism of such an association was not addressed.…”
Section: Introductionmentioning
confidence: 99%
“…We apply the proposed method to a dataset of single nucleotide polymorphisms (SNPs) from a sample of African-American participants in the Mid-South Tobacco Case-Control study population (Jiang et al, 2019;Xu et al, 2020;Han et al, 2022) to assess genetic risk factors for nicotine dependence. The dataset is publicly available with GEO accession GSE148375.…”
Section: Real Data Example: the Mid-south Tobacco Case-control Studymentioning
confidence: 99%