Evaluation of a whole‐exome sequencing pipeline and benchmarking of causal germline variant prioritizers
Abstract Most causal variants of Mendelian diseases are exonic. Whole‐exome sequencing (WES) has become the diagnostic gold standard, but causative variant prioritization constitutes a bottleneck. Here we assessed an in‐house sample‐to‐sequence pipeline and benchmarked free prioritization tools for germline causal variants from WES data. WES of 61 unselected patients with a known genetic disease cause was obtained. Variant prioritizations were performed by diverse tools and recorded to obtain a diagnostic yield when the causal variant was present in the first, fifth, and 10th top rankings. A fraction of causal variants was not captured by WES (8.2%) or did not pass the quality control criteria (13.1%). Most of the applications inspected were unavailable or had technical limitations, leaving nine tools for complete evaluation. Exomiser performed best in the top first rankings, while LIRICAL led in the top fifth rankings. Based on the more conservative top 10th rankings, Xrare had the highest diagnostic yield, followed by a three‐way tie among Exomiser, LIRICAL, and PhenIX, then followed by AMELIE, TAPES, Phen‐Gen, AIVar, and VarNote‐PAT. Xrare, Exomiser, LIRICAL, and PhenIX are the most efficient options for variant prioritization in real patient WES data..
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:43 |
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| Enthalten in: |
Human mutation - 43(2022), 12, Seite 2010-2020 |
| Beteiligte Personen: |
Tosco‐Herrera, Eva [VerfasserIn] |
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| BKL: |
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| Anmerkungen: |
© 2022 Wiley Periodicals LLC. |
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| Umfang: |
11 |
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| doi: |
10.1002/humu.24459 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Abstract Most causal variants of Mendelian diseases are exonic. Whole‐exome sequencing (WES) has become the diagnostic gold standard, but causative variant prioritization constitutes a bottleneck. Here we assessed an in‐house sample‐to‐sequence pipeline and benchmarked free prioritization tools for germline causal variants from WES data. WES of 61 unselected patients with a known genetic disease cause was obtained. Variant prioritizations were performed by diverse tools and recorded to obtain a diagnostic yield when the causal variant was present in the first, fifth, and 10th top rankings. A fraction of causal variants was not captured by WES (8.2%) or did not pass the quality control criteria (13.1%). Most of the applications inspected were unavailable or had technical limitations, leaving nine tools for complete evaluation. Exomiser performed best in the top first rankings, while LIRICAL led in the top fifth rankings. Based on the more conservative top 10th rankings, Xrare had the highest diagnostic yield, followed by a three‐way tie among Exomiser, LIRICAL, and PhenIX, then followed by AMELIE, TAPES, Phen‐Gen, AIVar, and VarNote‐PAT. Xrare, Exomiser, LIRICAL, and PhenIX are the most efficient options for variant prioritization in real patient WES data. | ||
| 700 | 1 | |a Muñoz‐Barrera, Adrián |4 aut | |
| 700 | 1 | |a Jáspez, David |4 aut | |
| 700 | 1 | |a Rubio‐Rodríguez, Luis A. |4 aut | |
| 700 | 1 | |a Mendoza‐Alvarez, Alejandro |4 aut | |
| 700 | 1 | |a Rodriguez‐Perez, Hector |4 aut | |
| 700 | 1 | |a Jou, Jonathan |4 aut | |
| 700 | 1 | |a Iñigo‐Campos, Antonio |4 aut | |
| 700 | 1 | |a Corrales, Almudena |4 aut | |
| 700 | 1 | |a Ciuffreda, Laura |4 aut | |
| 700 | 1 | |a Martinez‐Bugallo, Francisco |4 aut | |
| 700 | 1 | |a Prieto‐Morin, Carol |4 aut | |
| 700 | 1 | |a García‐Olivares, Víctor |4 aut | |
| 700 | 1 | |a González‐Montelongo, Rafaela |4 aut | |
| 700 | 1 | |a Lorenzo‐Salazar, Jose Miguel |4 aut | |
| 700 | 1 | |a Marcelino‐Rodriguez, Itahisa |4 aut | |
| 700 | 1 | |a Flores, Carlos |4 aut | |
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