SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1546-1718

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests ; volume:54 ; number:10 ; day:22 ; month:9 ; year:2022 ; pages:1466-1469 ; date:10.2022
Nature genetics ; 54, Heft 10 (22.9.2022), 1466-1469, 10.2022

Creator: Zhou, Wei
Bi, Wenjian
Zhao, Zhangchen
Dey, Kushal K.
Jagadeesh, Karthik A.
Karczewski, Konrad J.
Daly, Mark J.
Neale, Benjamin M.
Lee, Seunggeun

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41588-022-01178-w

URN: urn:nbn:de:101:1-2023010421005580450601

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:25 AM CEST

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Zhou, Wei
Bi, Wenjian
Zhao, Zhangchen
Dey, Kushal K.
Jagadeesh, Karthik A.
Karczewski, Konrad J.
Daly, Mark J.
Neale, Benjamin M.
Lee, Seunggeun
SpringerLink (Online service)

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Publisher Correction: SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests

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Publisher Correction: SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests

Transcript expression-aware annotation improves rare variant interpretation

Integration of variant annotations using deep set networks boosts rare variant association testing

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Reporting accuracy of rare event classifiers

Cross-protein transfer learning substantially improves disease variant prediction

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SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests

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Other Objects (12)

Publisher Correction: SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests

Transcript expression-aware annotation improves rare variant interpretation

Integration of variant annotations using deep set networks boosts rare variant association testing

Single-strand specific nuclease enhances accuracy of error-corrected sequencing and improves rare mutation-detection sensitivity

Cervical Trident-Shaped Neurofibroma: A Rare Variant

Rete middle cerebral artery: a rare variant

Identifying Rare Variant Associations in Admixed Populations

Progress in methods for rare variant association

Rectus sternalis muscle - a rare anatomical variant

Reporting accuracy of rare event classifiers

Cross-protein transfer learning substantially improves disease variant prediction

NARD: whole-genome reference panel of 1779 Northeast Asians improves imputation accuracy of rare and low-frequency variants

Publisher Correction: SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests

Transcript expression-aware annotation improves rare variant interpretation

Integration of variant annotations using deep set networks boosts rare variant association testing

Single-strand specific nuclease enhances accuracy of error-corrected sequencing and improves rare mutation-detection sensitivity

Cervical Trident-Shaped Neurofibroma: A Rare Variant

Rete middle cerebral artery: a rare variant

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Progress in methods for rare variant association

Rectus sternalis muscle - a rare anatomical variant

Reporting accuracy of rare event classifiers

Cross-protein transfer learning substantially improves disease variant prediction

NARD: whole-genome reference panel of 1779 Northeast Asians improves imputation accuracy of rare and low-frequency variants

Publisher Correction: SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests

Transcript expression-aware annotation improves rare variant interpretation

Integration of variant annotations using deep set networks boosts rare variant association testing

Single-strand specific nuclease enhances accuracy of error-corrected sequencing and improves rare mutation-detection sensitivity

Cervical Trident-Shaped Neurofibroma: A Rare Variant

Rete middle cerebral artery: a rare variant

Identifying Rare Variant Associations in Admixed Populations

Progress in methods for rare variant association

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Reporting accuracy of rare event classifiers

Cross-protein transfer learning substantially improves disease variant prediction

NARD: whole-genome reference panel of 1779 Northeast Asians improves imputation accuracy of rare and low-frequency variants

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