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

Exome sequencing identifies rare variants in multiple genes in atrioventricular septal defect.

Lisa C A D'Alessandro | Saeed Al Turki | Ashok Kumar Manickaraj | Dorin Manase | Barbara J M Mulder | Lynn Bergin | Herschel C Rosenberg | Tapas Mondal | Elaine Gordon | Jane Lougheed | John Smythe | Koen Devriendt | Shoumo Bhattacharya | Hugh Watkins | Jamie Bentham | Sarah Bowdin | Matthew E Hurles | Seema Mital
Genetics in medicine : official journal of the American College of Medical Genetics | 2016

The genetic etiology of atrioventricular septal defect (AVSD) is unknown in 40% cases. Conventional sequencing and arrays have identified the etiology in only a minority of nonsyndromic individuals with AVSD.

Pubmed ID: 25996639

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: British Heart Foundation, United Kingdom
    Id: PG/07/045/22690
  • Agency: British Heart Foundation, United Kingdom
    Id: RG/10/17/28553
  • Agency: Wellcome Trust, United Kingdom
    Id: WT098051
  • Agency: Wellcome Trust, United Kingdom
    Id: 098051
  • Agency: Wellcome Trust, United Kingdom
  • Agency: Wellcome Trust, United Kingdom
    Id: 090532
  • Agency: British Heart Foundation, United Kingdom
    Id: CH/09/003/26631

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.


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

Applied Biosystems (tool)

RRID:SCR_005039

An Antibody supplier

View all literature mentions

SIFT (tool)

RRID:SCR_012813

Data analysis service to predict whether an amino acid substitution affects protein function based on sequence homology and the physical properties of amino acids. SIFT can be applied to naturally occurring nonsynonymous polymorphisms and laboratory-induced missense mutations. (entry from Genetic Analysis Software) Web service is also available.

View all literature mentions