scholarly journals A Genome-Wide Pharmacogenetic Study of Growth Hormone Responsiveness

2020 ◽  
Vol 105 (10) ◽  
pp. 3203-3214 ◽  
Author(s):  
Andrew Dauber ◽  
Yan Meng ◽  
Laura Audi ◽  
Sailaja Vedantam ◽  
Benjamin Weaver ◽  
...  
Keyword(s):  
Growth Hormone ◽  
Short Stature ◽  
Large Scale ◽  
Genome Wide Association Study ◽  
Primary Analysis ◽  
Pharmacogenetic Study ◽  
Genome Wide ◽  
A Genome ◽  
Secondary Analyses ◽  
Genome Wide Significance

Abstract Context Individual patients vary in their response to growth hormone (GH). No large-scale genome-wide studies have looked for genetic predictors of GH responsiveness. Objective To identify genetic variants associated with GH responsiveness. Design Genome-wide association study (GWAS). Setting Cohorts from multiple academic centers and a clinical trial. Patients A total of 614 individuals from 5 short stature cohorts receiving GH: 297 with idiopathic short stature, 276 with isolated GH deficiency, and 65 born small for gestational age. Intervention Association of more than 2 million variants was tested. Main Outcome Measures Primary analysis: individual single nucleotide polymorphism (SNP) association with first-year change in height standard deviation scores. Secondary analyses: SNP associations in clinical subgroups adjusted for clinical variables; association of polygenic score calculated from 697 genome-wide significant height SNPs with GH responsiveness. Results No common variant associations reached genome-wide significance in the primary analysis. The strongest suggestive signals were found near the B4GALT4 and TBCE genes. After meta-analysis including replication data, signals at several loci reached or retained genome-wide significance in secondary analyses, including variants near ST3GAL6. There was no significant association with variants previously reported to be associated with GH response nor with a polygenic predicted height score. Conclusions We performed the largest GWAS of GH responsiveness to date. We identified 2 loci with a suggestive effect on GH responsiveness in our primary analysis and several genome-wide significant associations in secondary analyses that require further replication. Our results are consistent with a polygenic component to GH responsiveness, likely distinct from the genetic regulators of adult height.

scholarly journals Large-scale GWAS reveals insights into the genetic architecture of same-sex sexual behavior

Science ◽  
2019 ◽  
Vol 365 (6456) ◽  
pp. eaat7693 ◽  
Author(s):  
Andrea Ganna ◽  
Karin J. H. Verweij ◽  
Michel G. Nivard ◽  
Robert Maier ◽  
Robbee Wedow ◽  
...  
Keyword(s):  
Sexual Behavior ◽  
Genetic Architecture ◽  
Large Scale ◽  
Genome Wide Association Study ◽  
Same Sex ◽  
Genome Wide ◽  
A Genome ◽  
Number Of Sexual Partners ◽  
Opposite Sex ◽  
Males And Females

Twin and family studies have shown that same-sex sexual behavior is partly genetically influenced, but previous searches for specific genes involved have been underpowered. We performed a genome-wide association study (GWAS) on 477,522 individuals, revealing five loci significantly associated with same-sex sexual behavior. In aggregate, all tested genetic variants accounted for 8 to 25% of variation in same-sex sexual behavior, only partially overlapped between males and females, and do not allow meaningful prediction of an individual’s sexual behavior. Comparing these GWAS results with those for the proportion of same-sex to total number of sexual partners among nonheterosexuals suggests that there is no single continuum from opposite-sex to same-sex sexual behavior. Overall, our findings provide insights into the genetics underlying same-sex sexual behavior and underscore the complexity of sexuality.

scholarly journals Response to Letter to the Editor: “A Genome-Wide Pharmacogenetic Study of Growth Hormone Responsiveness”

2020 ◽  
Vol 106 (1) ◽  
pp. e409-e410
Author(s):  
Joel N Hirschhorn ◽  
Andrew Dauber ◽  
Laura Audi ◽  
Sailaja Vedantam ◽  
Michael B Ranke ◽  
...  
Keyword(s):  
Growth Hormone ◽  
Pharmacogenetic Study ◽  
Letter To The Editor ◽  
Genome Wide ◽  
A Genome ◽  
Hormone Responsiveness

scholarly journals Genomic variation across a clinical Cryptococcus population linked to disease outcome

2021 ◽  
Author(s):  
Poppy Channa Sakti Sephton-Clark ◽  
Jennifer Tenor ◽  
Dena Toffaletti ◽  
Nancy Meyers ◽  
Charles Giamberardino ◽  
...  
Keyword(s):  
Patient Outcomes ◽  
Large Scale ◽  
Genome Wide Association Study ◽  
Sugar Transport ◽  
Genomic Variation ◽  
Clinical Isolates ◽  
Genome Wide ◽  
A Genome ◽  
Gwas Approach

Cryptococcus neoformans is the causative agent of cryptococcosis, a disease with poor patient outcomes, accounting for approximately 180,000 deaths each year. Patient outcomes may be impacted by the underlying genetics of the infecting isolate, however, our current understanding of how genetic diversity contributes to clinical outcomes is limited. Here, we leverage clinical, in vitro growth and genomic data for 284 C. neoformans isolates to identify clinically relevant pathogen variants within a population of clinical isolates from patients with HIV-associated cryptococcosis in Malawi. Through a genome-wide association study (GWAS) approach, we identify variants associated with fungal burden and growth rate. We also find both small and large-scale variation, including aneuploidy, associated with alternate growth phenotypes, which may impact the course of infection. Genes impacted by these variants are involved in transcriptional regulation, signal transduction, glycolysis, sugar transport, and glycosylation. When combined with clinical data, we show that growth within the CNS is reliant upon glycolysis in an animal model, and likely impacts patient mortality, as CNS burden modulates patient outcome. Additionally, we find genes with roles in sugar transport are under selection in the majority of these clinical isolates. Further, we demonstrate that two hypothetical proteins identified by GWAS impact virulence in animal models. Our approach illustrates links between genetic variation and clinically relevant phenotypes, shedding light on survival mechanisms within the CNS and pathways involved in this persistence.

scholarly journals Architecting a distributed bioinformatics platform with iRODS and iPlant Agave API

2015 ◽  
Author(s):  
Liya Wang ◽  
Peter Van Buren ◽  
Doreen Ware
Keyword(s):  
Large Scale ◽  
Genome Wide Association Study ◽  
Data Transfer ◽  
Genomic Analysis ◽  
The Past ◽  
Large Scale Data ◽  
Genome Wide ◽  
A Genome ◽  
Bioinformatics Workflow ◽  
Scale Data

Over the past few years, cloud-based platforms have been proposed to address storage, management, and computation of large-scale data, especially in the field of genomics. However, for collaboration efforts involving multiple institutes, data transfer and management, interoperability and standardization among different platforms have imposed new challenges. This paper proposes a distributed bioinformatics platform that can leverage local clusters with remote computational clusters for genomic analysis using the unified bioinformatics workflow. The platform is built with a data server configured with iRODS, a computation cluster authenticated with iPlant Agave system, and web server to interact with the platform. A Genome-Wide Association Study workflow is integrated to validate the feasibility of the proposed approach.

scholarly journals Genetic Associations with Subjective Well-Being Also Implicate Depression and Neuroticism

2015 ◽  
Author(s):  
Aysu Okbay ◽  
Bart M. L. Baselmans ◽  
Jan-Emmanuel De Neve ◽  
Patrick Turley ◽  
Michel G. Nivard ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Genome Wide Association Study ◽  
Well Being ◽  
Genome Wide Association ◽  
Subjective Well Being ◽  
Genetic Associations ◽  
Genome Wide ◽  
A Genome ◽  
Genome Wide Significance

We conducted a genome-wide association study of subjective well-being (SWB) in 298,420 individuals. We also performed auxiliary analyses of depressive symptoms ("DS";N= 161,460) and neuroticism (N= 170,910), both of which have a substantial genetic correlation with SWB (ρ≈-0.8). We identify three SNPs associated with SWB at genome-wide significance. Two of them are significantly associated with DS in an independent sample. In our auxiliary analyses, we identify 13 additional genome-wide-significant associations: two with DS and eleven with neuroticism, including two inversion polymorphisms. Across our phenotypes, loci regulating expression in central nervous system and adrenal/pancreas tissues are enriched. The discovery of genetic loci associated with the three phenotypes we study has proven elusive; our findings illustrate the payoffs from studying them jointly.

Heritable interleukin-17F (IL17F) gene variation and overall survival (OS) in pancreatic cancer patients (pts): Results from a genome-wide association study (GWAS) in CALGB 80303

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 4531-4531
Author(s):  
F. Innocenti ◽  
K. Owzar ◽  
N. Cox ◽  
P. Evans ◽  
M. Kubo ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Genome Wide Association Study ◽  
Advanced Pancreatic Cancer ◽  
Phase Iii ◽  
Rank Test ◽  
Chromosome 15 ◽  
Heritable Variation ◽  
Primary Analysis ◽  
Genome Wide ◽  
A Genome

4531 Background: CALGB 80303 was a randomized, phase III study in 602 advanced pancreatic cancer (PC) pts treated with gemcitabine plus either bevacizumab or placebo. No difference in OS was observed between the two arms (Kindler, ASCO 2007). As part of the study, we prospectively collected germline DNA for pharmacogenetic studies, originally focusing on the association of candidate genes with OS and toxicity. We subsequently amended the study to conduct a GWAS in order to identify other associations. Methods: Germline DNA was isolated from peripheral blood on 352 pts, and was typed for more than 550,000 SNPs using the Illumina550 platform. The associations between OS and SNPs were investigated using the log-rank test. A review of the clinical data and ancestry genomic analysis identified 294 pts who were clinically eligible and determined to be genetically European, and this subset was used for the primary analysis. Results: For the analysis of OS, pts in both arms were pooled, and two SNPs were associated with OS using genome-wide criteria (p≤10–7). This included an intergenic SNP on chromosome 15 (rs7174643), and a nonsynonymous SNP in the IL17F gene ( rs763780 ) with an allelic frequency of 3.9% (H161R, p<2.7x10–8). Median OS was significantly shorter for the H/R heterozygotes (3.1 months, 95% CI 2.3–4.3, n=23), as compared to the H/H homozygotes (6.8 months, 95% CI 5.8–7.3, n=271). This association remained highly significant when the analysis was stratified by extent of disease or previous radiotherapy. There was no evidence of an interaction with bevacizumab, suggesting that this SNP is prognostic rather than predictive. Conclusions: Heritable variation in IL17F may be a prognostic marker for PC. Wildtype (161H) IL17F is a pro-inflammatory, anti-angiogenic cytokine (Starnes, J Immunol 2001). The 161R mutant IL17F antagonizes wildtype IL17F (Kawaguchi, J Allergy Clin Immunol, 2006), potentially resulting in a pro-angiogenic effect. Replication studies in PC and other solid tumors are indicated. [Table: see text]

scholarly journals Genome-Wide Natural Selection Signatures Are Linked to Genetic Risk of Modern Phenotypes in the Japanese Population

2020 ◽  
Vol 37 (5) ◽  
pp. 1306-1316 ◽  
Author(s):  
Yoshiaki Yasumizu ◽  
Saori Sakaue ◽  
Takahiro Konuma ◽  
Ken Suzuki ◽  
Koichi Matsuda ◽  
...  
Keyword(s):  
Natural Selection ◽  
Japanese Population ◽  
Large Scale ◽  
Genome Wide Association Study ◽  
Enrichment Analysis ◽  
Recent Common Ancestor ◽  
Selection Signatures ◽  
Most Recent Common Ancestor ◽  
Genome Wide ◽  
A Genome

Abstract Elucidation of natural selection signatures and relationships with phenotype spectra is important to understand adaptive evolution of modern humans. Here, we conducted a genome-wide scan of selection signatures of the Japanese population by estimating locus-specific time to the most recent common ancestor using the ascertained sequentially Markovian coalescent (ASMC), from the biobank-based large-scale genome-wide association study data of 170,882 subjects. We identified 29 genetic loci with selection signatures satisfying the genome-wide significance. The signatures were most evident at the alcohol dehydrogenase (ADH) gene cluster locus at 4q23 (PASMC = 2.2 × 10−36), followed by relatively strong selection at the FAM96A (15q22), MYOF (10q23), 13q21, GRIA2 (4q32), and ASAP2 (2p25) loci (PASMC &lt; 1.0 × 10−10). The additional analysis interrogating extended haplotypes (integrated haplotype score) showed robust concordance of the detected signatures, contributing to fine-mapping of the genes, and provided allelic directional insights into selection pressure (e.g., positive selection for ADH1B-Arg48His and HLA-DPB1*04:01). The phenome-wide selection enrichment analysis with the trait-associated variants identified a variety of the modern human phenotypes involved in the adaptation of Japanese. We observed population-specific evidence of enrichment with the alcohol-related phenotypes, anthropometric and biochemical clinical measurements, and immune-related diseases, differently from the findings in Europeans using the UK Biobank resource. Our study demonstrated population-specific features of the selection signatures in Japanese, highlighting a value of the natural selection study using the nation-wide biobank-scale genome and phenotype data.

scholarly journals JASS: command line and web interface for the joint analysis of GWAS results

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Hanna Julienne ◽  
Pierre Lechat ◽  
Vincent Guillemot ◽  
Carla Lasry ◽  
Chunzi Yao ◽  
...  
Keyword(s):  
Genetic Variants ◽  
Large Scale ◽  
Genome Wide Association Study ◽  
Real Data ◽  
Joint Analysis ◽  
Summary Statistics ◽  
Web Interface ◽  
Multiple Phenotypes ◽  
Genome Wide ◽  
Secondary Analyses

Abstract Genome-wide association study (GWAS) has been the driving force for identifying association between genetic variants and human phenotypes. Thousands of GWAS summary statistics covering a broad range of human traits and diseases are now publicly available. These GWAS have proven their utility for a range of secondary analyses, including in particular the joint analysis of multiple phenotypes to identify new associated genetic variants. However, although several methods have been proposed, there are very few large-scale applications published so far because of challenges in implementing these methods on real data. Here, we present JASS (Joint Analysis of Summary Statistics), a polyvalent Python package that addresses this need. Our package incorporates recently developed joint tests such as the omnibus approach and various weighted sum of Z-score tests while solving all practical and computational barriers for large-scale multivariate analysis of GWAS summary statistics. This includes data cleaning and harmonization tools, an efficient algorithm for fast derivation of joint statistics, an optimized data management process and a web interface for exploration purposes. Both benchmark analyses and real data applications demonstrated the robustness and strong potential of JASS for the detection of new associated genetic variants. Our package is freely available at https://gitlab.pasteur.fr/statistical-genetics/jass.

scholarly journals Genome-Wide Significance for PCLO as a Gene for Major Depressive Disorder

2017 ◽  
Vol 20 (4) ◽  
pp. 267-270 ◽  
Author(s):  
Hamdi Mbarek ◽  
Yuri Milaneschi ◽  
Jouke-Jan Hottenga ◽  
Lannie Ligthart ◽  
Eco J. C. de Geus ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Genome Wide Association Study ◽  
Major Depressive ◽  
Significance Level ◽  
Functional Studies ◽  
Genome Wide ◽  
A Genome ◽  
Genome Wide Significance

In 2009, the first genome-wide association study (GWAS) for major depressive disorder (MDD) highlighted an association with PCLO locus on chromosome 7, although not reaching genome-wide significance level. In the present study, we revisited the original GWAS after increasing the overall sample size and the number of interrogated SNPs. In an analysis comparing 1,942 cases with lifetime diagnosis of MDD and 4,565 controls, PCLO showed a genome-wide significant association with MDD at SNP (rs2715157, p = 2.91 × 10−8) and gene-based (p = 1.48 × 10−7) level. Our results confirm the potential role of the PCLO gene in MDD, which is worth further replication and functional studies.

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