This proposal focuses on creation of a sequencing core for the Undiagnosed Disease Program (UDP) as well as comparison of the utility of genome-wide sequencing (GWS; also known as whole genome sequencing) versus Whole Exome Sequencing (WES) for the identification of causal variants. Illumina and the Medical College of Wisconsin (MCW) have worked together to advance genomic sequencing into clinical medicine; this proposal is joint between these entities. All of the necessary components for the UDP sequencing core are functional at MCW and Illumina and required capacity and turnaround are met. Both groups have championed GWS as opposed to WES for genetic discovery leading to the second focus; comparison of GWS and WES for diagnostic success. MCW uses both WES and GWS; along with obvious advantages in detecting non protein coding variants, we find significantly better coverage of actionable genes with GWS, and a higher diagnostic success rate. We thus propose to conduct GWS for all participants enrolled in the UDP creating the opportunity to compare utility of WES versus GWS. With an integrated team and using innovative lab and bioinformatics techniques we propose to test the hypothesis that GWS will produce at least 25% more diagnoses than WES.
Aim 1 will generate clinical grade GWS for all UDP cases sequenced and perform read mapping and variant calling. Sharing of the data generated and the methods developed will enable the UDP network to directly compare diagnostic use of WES and GWS.
Aim 2 will undertake clinical grade tertiary analysis of the data using our clinically validated analysis platform; we will also provide clinical interpretation and report generation for all cases requested. These will be produced using our existing clinical methodology and tools.
Aim 2 will also support dissemination of the methodology and offer tertiary analysis and clinical interpretation to all UDN sites.
Aim 3 will confirm the NextGen sequencing results using Sanger and, through gathering of this data, determine whether this step will be necessary in the future. We envision that all of the laboratory operations, methodologies, and tools developed will be made available and will be suited for cloning in additional currently non network hospitals and large clinics. Relevance: This application is highly relevant in that it seeks to establish MCW as the sequencing core for the UDP. In addition to meeting this goal, the application seeks to extend the UDN benefit by determining whether application of GWS as compared to WES provides a diagnostic advantage.

Public Health Relevance

The Undiagnosed Disease Network (UDN) consists of four components: 1) The NIH Undiagnosed Disease Program, 2) A Coordinating Center, 3) Up to six clinical sites and 4) the Sequencing Core (SC). The Medical College of Wisconsin and Illumina are partnering to create the SC and deliver clinical grade GWS for all 3,300 of the study participants, increasing the chances of making a diagnosis by at least 25% over using only exome sequencing. Using our end-to-end clinical workflow (clinical laboratory, clinical analysis platform and fully- interpreted clinical reports), we impact patient care immediately.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project--Cooperative Agreements (U01)
Project #
7U01HG007943-02
Application #
9126113
Study Section
Special Emphasis Panel (ZHG1-HGR-P (M1))
Program Officer
Wise, Anastasia Leigh
Project Start
2015-09-01
Project End
2018-08-31
Budget Start
2015-09-01
Budget End
2016-08-31
Support Year
2
Fiscal Year
2015
Total Cost
$694,966
Indirect Cost
$125,400
Name
Hudson-Alpha Institute for Biotechnology
Department
Type
DUNS #
780007410
City
Huntsville
State
AL
Country
United States
Zip Code
35806
Splinter, Kimberly; Adams, David R; Bacino, Carlos A et al. (2018) Effect of Genetic Diagnosis on Patients with Previously Undiagnosed Disease. N Engl J Med 379:2131-2139
Walley, Nicole M; Pena, Loren D M; Hooper, Stephen R et al. (2018) Characteristics of undiagnosed diseases network applicants: implications for referring providers. BMC Health Serv Res 18:652
Pena, Loren D M; Jiang, Yong-Hui; Schoch, Kelly et al. (2018) Looking beyond the exome: a phenotype-first approach to molecular diagnostic resolution in rare and undiagnosed diseases. Genet Med 20:464-469
Prokop, Jeremy W; Lazar, Jozef; Crapitto, Gabrielle et al. (2017) Molecular modeling in the age of clinical genomics, the enterprise of the next generation. J Mol Model 23:75
Shashi, Vandana; Pena, Loren D M; Kim, Katherine et al. (2017) De Novo Truncating Variants in ASXL2 Are Associated with a Unique and Recognizable Clinical Phenotype. Am J Hum Genet 100:179
Spillmann, Rebecca C; McConkie-Rosell, Allyn; Pena, Loren et al. (2017) A window into living with an undiagnosed disease: illness narratives from the Undiagnosed Diseases Network. Orphanet J Rare Dis 12:71
Chao, Hsiao-Tuan; Davids, Mariska; Burke, Elizabeth et al. (2017) A Syndromic Neurodevelopmental Disorder Caused by De Novo Variants in EBF3. Am J Hum Genet 100:128-137
Ramoni, Rachel B; Mulvihill, John J; Adams, David R et al. (2017) The Undiagnosed Diseases Network: Accelerating Discovery about Health and Disease. Am J Hum Genet 100:185-192
Wang, Julia; Al-Ouran, Rami; Hu, Yanhui et al. (2017) MARRVEL: Integration of Human and Model Organism Genetic Resources to Facilitate Functional Annotation of the Human Genome. Am J Hum Genet 100:843-853
Manolio, Teri A; Fowler, Douglas M; Starita, Lea M et al. (2017) Bedside Back to Bench: Building Bridges between Basic and Clinical Genomic Research. Cell 169:6-12

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