Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Variants in CXCR4 associate with juvenile idiopathic arthritis susceptibility.

Terri H Finkel | Jin Li | Zhi Wei | Wei Wang | Haitao Zhang | Edward M Behrens | Emma L Reuschel | Sophie Limou | Carol Wise | Marilynn Punaro | Mara L Becker | Jane E Munro | Berit Flatø | Øystein Førre | Susan D Thompson | Carl D Langefeld | David N Glass | Joseph T Glessner | Cecilia E Kim | Edward Frackelton | Debra K Shivers | Kelly A Thomas | Rosetta M Chiavacci | Cuiping Hou | Kexiang Xu | James Snyder | Haijun Qiu | Frank Mentch | Kai Wang | Cheryl A Winkler | Benedicte A Lie | Justine A Ellis | Hakon Hakonarson
BMC medical genetics | 2016

Juvenile idiopathic arthritis (JIA) is the most common chronic rheumatic disease among children, the etiology of which involves a strong genetic component, but much of the underlying genetic determinants still remain unknown. Our aim was to identify novel genetic variants that predispose to JIA.

Pubmed ID: 27005825

Associated grants

  • Agency: PHS HHS, United States
    Id: HHSN26120080001E
  • Agency: NIAMS NIH HHS, United States
    Id: RC1 AR058606
  • Agency: NHGRI NIH HHS, United States
    Id: U01HG006830
  • Agency: NHGRI NIH HHS, United States
    Id: U01 HG008684
  • Agency: Intramural NIH HHS, United States
  • Agency: NIAMS NIH HHS, United States
    Id: RC1AR058606
  • Agency: NIAMS NIH HHS, United States
    Id: P30 AR070549
  • Agency: NICHD NIH HHS, United States
    Id: U54 HD086984
  • Agency: NIAMS NIH HHS, United States
    Id: P30 AR047363
  • Agency: NHGRI NIH HHS, United States
    Id: U01 HG006830

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


SNVer (tool)

RRID:SCR_002061

Statistical software tool for calling common and rare variants in analysis of pool or individual next-generation sequencing data. This software is optimized for analysis of whole-exome sequencing data and whole-genome sequencing data.

View all literature mentions

International HapMap Project (tool)

RRID:SCR_002846

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A multi-country collaboration among scientists and funding agencies to develop a public resource where genetic similarities and differences in human beings are identified and catalogued. Using this information, researchers will be able to find genes that affect health, disease, and individual responses to medications and environmental factors. All of the information generated by the Project will be released into the public domain. Their goal is to compare the genetic sequences of different individuals to identify chromosomal regions where genetic variants are shared. Public and private organizations in six countries are participating in the International HapMap Project. Data generated by the Project can be downloaded with minimal constraints. HapMap project related data, software, and documentation include: bulk data on genotypes, frequencies, LD data, phasing data, allocated SNPs, recombination rates and hotspots, SNP assays, Perlegen amplicons, raw data, inferred genotypes, and mitochondrial and chrY haplogroups; Generic Genome Browser software; protocols and information on assay design, genotyping and other protocols used in the project; and documentation of samples/individuals and the XML format used in the project.

View all literature mentions

GENEVAR (tool)

RRID:SCR_009201

A database and Java tool designed to integrate multiple datasets, and provides analysis and visualization of associations between sequence variation and gene expression in eQTL studies. Genevar allows researchers to investigate eQTL (expression quantitative trait loci) associations within a gene locus of interest in real time. The database and application can be installed on a standard computer in database mode and, in addition, on a server to share discoveries among affiliations or the broader community over the internet via web services protocols. (entry from Genetic Analysis Software)

View all literature mentions

BWA (tool)

RRID:SCR_010910

Software for aligning sequencing reads against large reference genome. Consists of three algorithms: BWA-backtrack, BWA-SW and BWA-MEM. First for sequence reads up to 100bp, and other two for longer sequences ranged from 70bp to 1Mbp.

View all literature mentions

MACH 1.0 (tool)

RRID:SCR_001759

A Markov Chain based software tool for haplotyping, genotype imputation and disease association analysis that can resolve long haplotypes or infer missing genotypes in samples of unrelated individuals.

View all literature mentions

ANNOVAR (tool)

RRID:SCR_012821

An efficient software tool to utilize update-to-date information to functionally annotate genetic variants detected from diverse genomes (including human genome hg18, hg19, as well as mouse, worm, fly, yeast and many others). Given a list of variants with chromosome, start position, end position, reference nucleotide and observed nucleotides, ANNOVAR can perform: 1. gene-based annotation. 2. region-based annotation. 3. filter-based annotation. 4. other functionalities. (entry from Genetic Analysis Software)

View all literature mentions

PLINK (tool)

RRID:SCR_001757

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

View all literature mentions

METAL (tool)

RRID:SCR_002013

Software application designed to facilitate meta-analysis of large datasets (such as several whole genome scans) in a convenient, rapid and memory efficient manner. (entry from Genetic Analysis Software)

View all literature mentions

Primer3 (tool)

RRID:SCR_003139

Tool used to design PCR primers from DNA sequence - often in high-throughput genomics applications. It does everything from mispriming libraries to sequence quality data to the generation of internal oligos.

View all literature mentions

MACH (tool)

RRID:SCR_009621

QTL analysis based on imputed dosages/posterior_probabilities.

View all literature mentions