scholarly journals The International SSRI Pharmacogenomics Consortium (ISPC): a genome-wide association study of antidepressant treatment response

2015 ◽  
Vol 5 (4) ◽  
pp. e553-e553 ◽  
Author(s):  
J M Biernacka ◽  
K Sangkuhl ◽  
G Jenkins ◽  
R M Whaley ◽  
P Barman ◽  
...  

Abstract Response to treatment with selective serotonin reuptake inhibitors (SSRIs) varies considerably between patients. The International SSRI Pharmacogenomics Consortium (ISPC) was formed with the primary goal of identifying genetic variation that may contribute to response to SSRI treatment of major depressive disorder. A genome-wide association study of 4-week treatment outcomes, measured using the 17-item Hamilton Rating Scale for Depression (HRSD-17), was performed using data from 865 subjects from seven sites. The primary outcomes were percent change in HRSD-17 score and response, defined as at least 50% reduction in HRSD-17. Data from two prior studies, the Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomics Study (PGRN-AMPS) and the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, were used for replication, and a meta-analysis of the three studies was performed (N=2394). Although many top association signals in the ISPC analysis map to interesting candidate genes, none were significant at the genome-wide level and the associations were not replicated using PGRN-AMPS and STAR*D data. Top association results in the meta-analysis of response included single-nucleotide polymorphisms (SNPs) in the HPRTP4 (hypoxanthine phosphoribosyltransferase pseudogene 4)/VSTM5 (V-set and transmembrane domain containing 5) region, which approached genome-wide significance (P=5.03E−08) and SNPs 5’ upstream of the neuregulin-1 gene, NRG1 (P=1.20E−06). NRG1 is involved in many aspects of brain development, including neuronal maturation and variations in this gene have been shown to be associated with increased risk for mental disorders, particularly schizophrenia. Replication and functional studies of these findings are warranted.

Bone Reports ◽  
2016 ◽  
Vol 5 ◽  
pp. 233-242 ◽  
Author(s):  
Kira C. Taylor ◽  
Daniel S. Evans ◽  
Digna R. Velez Edwards ◽  
Todd L. Edwards ◽  
Tamar Sofer ◽  
...  

2021 ◽  
Vol 118 (11) ◽  
pp. e2004199118
Author(s):  
Marina Penova ◽  
Shuji Kawaguchi ◽  
Jun-ichirou Yasunaga ◽  
Takahisa Kawaguchi ◽  
Tomoo Sato ◽  
...  

HTLV-1–associated myelopathy (HAM/TSP) is a chronic and progressive inflammatory disease of the central nervous system. The aim of our study was to identify genetic determinants related to the onset of HAM/TSP in the Japanese population. We conducted a genome-wide association study comprising 753 HAM/TSP patients and 899 asymptomatic HTLV-1 carriers. We also performed comprehensive genotyping of HLA-A, -B, -C, -DPB1, -DQB1, and -DRB1 genes using next-generation sequencing technology for 651 HAM/TSP patients and 804 carriers. A strong association was observed in HLA class I (P = 1.54 × 10−9) and class II (P = 1.21 × 10−8) loci with HAM/TSP. Association analysis using HLA genotyping results showed that HLA-C*07:02 (P = 2.61 × 10−5), HLA-B*07:02 (P = 4.97 × 10−10), HLA-DRB1*01:01 (P = 1.15 × 10−9) and HLA-DQB1*05:01 (P = 2.30 × 10−9) were associated with disease risk, while HLA-B*40:06 (P = 3.03 × 10−5), HLA-DRB1*15:01 (P = 1.06 × 10−5) and HLA-DQB1*06:02 (P = 1.78 × 10−6) worked protectively. Logistic regression analysis identified amino acid position 7 in the G-BETA domain of HLA-DRB1 as strongly associated with HAM/TSP (P = 9.52 × 10−10); individuals homozygous for leucine had an associated increased risk of HAM/TSP (odds ratio, 9.57), and proline was protective (odds ratio, 0.65). Both associations were independent of the known risk associated with proviral load. DRB1-GB-7-Leu was not significantly associated with proviral load. We have identified DRB1-GB-7-Leu as a genetic risk factor for HAM/TSP development independent of proviral load. This suggests that the amino acid residue may serve as a specific marker to identify the risk of HAM/TSP even without knowledge of proviral load. In light of its allele frequency worldwide, this biomarker will likely prove useful in HTLV-1 endemic areas across the globe.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lawrence Shih-Hsin Wu ◽  
Ming-Chyi Huang ◽  
Cathy Shen-Jang Fann ◽  
Hsien-Yuan Lane ◽  
Chian-Jue Kuo ◽  
...  

AbstractThe search for susceptibility genes underlying the heterogeneous bipolar disorder has been inconclusive, often with irreproducible results. There is a hope that narrowing the phenotypes will increase the power of genetic analysis. Early-onset bipolar disorder is thought to be a genetically homogeneous subtype with greater symptom severity. We conducted a genome-wide association study (GWAS) for this subtype in bipolar I (BPI) disorder. Study participants included 1779 patients of Han Chinese descent with BPI disorder recruited by the Taiwan Bipolar Consortium. We conducted phenotype assessment using the Chinese version of the Schedules for Clinical Assessment in Neuropsychiatry and prepared a life chart with graphic depiction of lifetime clinical course for each of the BPI patient recruited. The assessment of onset age was based on this life chart with early onset defined as ≤20 years of age. We performed GWAS in a discovery group of 516 early-onset and 790 non-early-onset BPI patients, followed by a replication study in an independent group of 153 early-onset and 320 non-early-onset BPI patients and a meta-analysis with these two groups. The SNP rs11127876, located in the intron of CADM2, showed association with early-onset BPI in the discovery cohort (P = 7.04 × 10−8) and in the test of replication (P = 0.0354). After meta-analysis, this SNP was demonstrated to be a new genetic locus in CADM2 gene associated with early-onset BPI disorder (P = 5.19 × 10−8).


PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0130109 ◽  
Author(s):  
Giuseppe Matullo ◽  
Simonetta Guarrera ◽  
Marta Betti ◽  
Giovanni Fiorito ◽  
Daniela Ferrante ◽  
...  

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0199461 ◽  
Author(s):  
Cherif Ben Hamda ◽  
Raphael Sangeda ◽  
Liberata Mwita ◽  
Ayton Meintjes ◽  
Siana Nkya ◽  
...  

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