ID

45488

Description

Principal Investigator: Melissa Southey, PhD, The University of Melbourne, Melbourne, Australia MeSH: Breast Neoplasms https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000601 The project developed a suite of new methods (FAVR) designed to assist the shortlisting of genetic variants under a rare variant-phenotype/disease model. The methods were designed to work with commonly used massively parallel sequencing analysis pipelines, such as the GATK or ANNOVAR, and have been made publically available as a suite of software tools (https://github.com/bjpop/favr). The FAVR methods use signatures in comparator sequence alignment files to facilitate the filtering of mapping artifacts and common genetic variants, and annotation of genetic variants based on evidence of co-occurrence in individuals. As relevant, FAVR methods can also be used to filter out artifacts derived from imbalanced paired-end sequencing. Pope et al., BMC Bioinformatics, accepted Dec 2012.

Link

dbGap study = phs000601

Keywords

  1. 11/9/22 11/9/22 - Dr. med. Lucy Kessler
  2. 12/13/22 12/13/22 - Kristina Keller
Copyright Holder

Melissa Southey, PhD, The University of Melbourne, Melbourne, Australia

Uploaded on

December 13, 2022

DOI

To request one please log in.

License

Creative Commons BY 4.0

Model comments :

You can comment on the data model here. Via the speech bubbles at the itemgroups and items you can add comments to those specificially.

Itemgroup comments for :

Item comments for :

In order to download data models you must be logged in. Please log in or register for free.

dbGaP phs000601 Identifying the Genetic Explanation for Heritable Breast Cancer

Similar models

Please use this form for feedback, questions and suggestions for improvements.

Fields marked with * are required.

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

Watch Tutorial