The overarching goal of this proposal is to produce a single deliverable: VAAST+, which will provide innovative and improved solutions for three major bottlenecks in analyses of personal genomes data: variant prioritization, risk assessment and disease-gene finding. Better variant prioritization and risk assessment will aid diagnostic laboratories and clinicians seeking to interpret the impact of rare variants discovered in the course of routine genetic testing;whereas a better tool for disease-gene finding will empower researchers seeking to employ whole-genome and exome sequences to identify novel genes and disease-causing alleles responsible for rare and common diseases. VAAST+ will leverage the VAAST platform, which was developed with support from an NHGRI Grand Opportunity Grant entitled Tool for annotation and analyses of human whole-genome sequence variation data. Doing so will allow us to rapidly implement VAAST+ and distribute it to the research community.

Public Health Relevance

Whole-genome and exome sequencing, as well as sequence?based clinical diagnostics are increasingly uncovering rare and novel variants that may or may not impact patient health. The overarching goal of this proposal is to produce a single deliverable: VAAST+, which will provide basic researchers, clinical diagnostics laboratories and clinical geneticists with the means to rapidly identify and characterize disease-causing variants;thus bringing sequence data one step closer to the bed-side. VAAST+ will do so by providing innovative solutions to the three principal bottlenecks in healthcare-focused genome analyses today: variant prioritization, risk assessment, and disease-gene finding.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
1R01GM104390-01
Application #
8431204
Study Section
Special Emphasis Panel (ZGM1-GDB-7 (CP))
Program Officer
Krasnewich, Donna M
Project Start
2013-09-01
Project End
2017-08-31
Budget Start
2013-09-01
Budget End
2014-08-31
Support Year
1
Fiscal Year
2013
Total Cost
$516,603
Indirect Cost
$146,146
Name
University of Utah
Department
Genetics
Type
Schools of Medicine
DUNS #
009095365
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
Flygare, Steven; Hernandez, Edgar Javier; Phan, Lon et al. (2018) The VAAST Variant Prioritizer (VVP): ultrafast, easy to use whole genome variant prioritization tool. BMC Bioinformatics 19:57
Yu, Yao; Hu, Hao; Bohlender, Ryan J et al. (2018) XPAT: a toolkit to conduct cross-platform association studies with heterogeneous sequencing datasets. Nucleic Acids Res 46:e32
Chen, Jiun-Sheng; Hu, Fulan; Kugathasan, Subra et al. (2018) Targeted Gene Sequencing in Children with Crohn's Disease and Their Parents: Implications for Missing Heritability. G3 (Bethesda) 8:2881-2888
Al-Agha, Abdulmoein Eid; Ahmed, Ihab Abdulhamed; Nuebel, Esther et al. (2018) Primary Ovarian Insufficiency and Azoospermia in Carriers of a Homozygous PSMC3IP Stop Gain Mutation. J Clin Endocrinol Metab 103:555-563
Vickrey, Anna I; Bruders, Rebecca; Kronenberg, Zev et al. (2018) Introgression of regulatory alleles and a missense coding mutation drive plumage pattern diversity in the rock pigeon. Elife 7:
Yu, Yao; Hu, Hao; Chen, Jiun-Sheng et al. (2018) Integrated case-control and somatic-germline interaction analyses of melanoma susceptibility genes. Biochim Biophys Acta Mol Basis Dis 1864:2247-2254
Cone, Kelsey R; Kronenberg, Zev N; Yandell, Mark et al. (2017) Emergence of a Viral RNA Polymerase Variant during Gene Copy Number Amplification Promotes Rapid Evolution of Vaccinia Virus. J Virol 91:
Majoros, William H; Campbell, Michael S; Holt, Carson et al. (2017) High-throughput interpretation of gene structure changes in human and nonhuman resequencing data, using ACE. Bioinformatics 33:1437-1446
Feusier, Julie; Witherspoon, David J; Scott Watkins, W et al. (2017) Discovery of rare, diagnostic AluYb8/9 elements in diverse human populations. Mob DNA 8:9
Eilbeck, Karen; Quinlan, Aaron; Yandell, Mark (2017) Settling the score: variant prioritization and Mendelian disease. Nat Rev Genet 18:599-612

Showing the most recent 10 out of 38 publications