Identification of PCSK9-like human gene knockouts using metabolomics, proteomics, and whole-genome sequencing in a consanguineous population

<p dir="ltr">Natural human knockouts of genes associated with desirable outcomes, such as <i>PCSK9</i> with low levels of LDL-cholesterol, can lead to the discovery of new drug targets and treatments. Rare loss-of-function variants are more likely to be found in the homoz...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Aziz Belkadi (779313) (author)
مؤلفون آخرون: Gaurav Thareja (459188) (author), Fatemeh Abbaszadeh (13841344) (author), Ramin Badii (491543) (author), Eric Fauman (3900379) (author), Omar M.E. Albagha (18508167) (author), Karsten Suhre (67967) (author)
منشور في: 2023
الموضوعات:
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_version_ 1864513507219734528
author Aziz Belkadi (779313)
author2 Gaurav Thareja (459188)
Fatemeh Abbaszadeh (13841344)
Ramin Badii (491543)
Eric Fauman (3900379)
Omar M.E. Albagha (18508167)
Karsten Suhre (67967)
author2_role author
author
author
author
author
author
author_facet Aziz Belkadi (779313)
Gaurav Thareja (459188)
Fatemeh Abbaszadeh (13841344)
Ramin Badii (491543)
Eric Fauman (3900379)
Omar M.E. Albagha (18508167)
Karsten Suhre (67967)
author_role author
dc.creator.none.fl_str_mv Aziz Belkadi (779313)
Gaurav Thareja (459188)
Fatemeh Abbaszadeh (13841344)
Ramin Badii (491543)
Eric Fauman (3900379)
Omar M.E. Albagha (18508167)
Karsten Suhre (67967)
dc.date.none.fl_str_mv 2023-01-11T09:00:00Z
dc.identifier.none.fl_str_mv 10.1016/j.xgen.2022.100218
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Identification_of_PCSK9-like_human_gene_knockouts_using_metabolomics_proteomics_and_whole-genome_sequencing_in_a_consanguineous_population/26808559
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biological sciences
Genetics
Biomedical and clinical sciences
Medical biochemistry and metabolomics
Pharmacology and pharmaceutical sciences
human gene knockouts
metabolomicsproteomics
whole-genome sequencing
consanguineous population
drug target validation
drug target identification
dc.title.none.fl_str_mv Identification of PCSK9-like human gene knockouts using metabolomics, proteomics, and whole-genome sequencing in a consanguineous population
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">Natural human knockouts of genes associated with desirable outcomes, such as <i>PCSK9</i> with low levels of LDL-cholesterol, can lead to the discovery of new drug targets and treatments. Rare loss-of-function variants are more likely to be found in the homozygous state in consanguineous populations, and deep molecular phenotyping of blood samples from homozygous carriers can help to discriminate between silent and functional variants. Here, we combined whole-genome sequencing with proteomics and metabolomics for 2,935 individuals from the Qatar Biobank (QBB) to evaluate the power of this approach for finding genes of clinical and pharmaceutical interest. As proof-of-concept, we identified a homozygous carrier of a very rare<i> PCSK9</i> variant with extremely low circulating PCSK9 levels and low LDL. Our study demonstrates that the chances of finding such variants are about 168 times higher in QBB compared with GnomAD and emphasizes the potential of consanguineous populations for drug discovery.</p><h2>Other Information</h2><p dir="ltr">Published in: Cell Genomics<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.xgen.2022.100218" target="_blank">https://dx.doi.org/10.1016/j.xgen.2022.100218</a></p>
eu_rights_str_mv openAccess
id Manara2_f270865c67a9f3de3a5e7b11a9d06d65
identifier_str_mv 10.1016/j.xgen.2022.100218
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/26808559
publishDate 2023
repository.mail.fl_str_mv
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rights_invalid_str_mv CC BY 4.0
spelling Identification of PCSK9-like human gene knockouts using metabolomics, proteomics, and whole-genome sequencing in a consanguineous populationAziz Belkadi (779313)Gaurav Thareja (459188)Fatemeh Abbaszadeh (13841344)Ramin Badii (491543)Eric Fauman (3900379)Omar M.E. Albagha (18508167)Karsten Suhre (67967)Biological sciencesGeneticsBiomedical and clinical sciencesMedical biochemistry and metabolomicsPharmacology and pharmaceutical scienceshuman gene knockoutsmetabolomicsproteomicswhole-genome sequencingconsanguineous populationdrug target validationdrug target identification<p dir="ltr">Natural human knockouts of genes associated with desirable outcomes, such as <i>PCSK9</i> with low levels of LDL-cholesterol, can lead to the discovery of new drug targets and treatments. Rare loss-of-function variants are more likely to be found in the homozygous state in consanguineous populations, and deep molecular phenotyping of blood samples from homozygous carriers can help to discriminate between silent and functional variants. Here, we combined whole-genome sequencing with proteomics and metabolomics for 2,935 individuals from the Qatar Biobank (QBB) to evaluate the power of this approach for finding genes of clinical and pharmaceutical interest. As proof-of-concept, we identified a homozygous carrier of a very rare<i> PCSK9</i> variant with extremely low circulating PCSK9 levels and low LDL. Our study demonstrates that the chances of finding such variants are about 168 times higher in QBB compared with GnomAD and emphasizes the potential of consanguineous populations for drug discovery.</p><h2>Other Information</h2><p dir="ltr">Published in: Cell Genomics<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.xgen.2022.100218" target="_blank">https://dx.doi.org/10.1016/j.xgen.2022.100218</a></p>2023-01-11T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.xgen.2022.100218https://figshare.com/articles/journal_contribution/Identification_of_PCSK9-like_human_gene_knockouts_using_metabolomics_proteomics_and_whole-genome_sequencing_in_a_consanguineous_population/26808559CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/268085592023-01-11T09:00:00Z
spellingShingle Identification of PCSK9-like human gene knockouts using metabolomics, proteomics, and whole-genome sequencing in a consanguineous population
Aziz Belkadi (779313)
Biological sciences
Genetics
Biomedical and clinical sciences
Medical biochemistry and metabolomics
Pharmacology and pharmaceutical sciences
human gene knockouts
metabolomicsproteomics
whole-genome sequencing
consanguineous population
drug target validation
drug target identification
status_str publishedVersion
title Identification of PCSK9-like human gene knockouts using metabolomics, proteomics, and whole-genome sequencing in a consanguineous population
title_full Identification of PCSK9-like human gene knockouts using metabolomics, proteomics, and whole-genome sequencing in a consanguineous population
title_fullStr Identification of PCSK9-like human gene knockouts using metabolomics, proteomics, and whole-genome sequencing in a consanguineous population
title_full_unstemmed Identification of PCSK9-like human gene knockouts using metabolomics, proteomics, and whole-genome sequencing in a consanguineous population
title_short Identification of PCSK9-like human gene knockouts using metabolomics, proteomics, and whole-genome sequencing in a consanguineous population
title_sort Identification of PCSK9-like human gene knockouts using metabolomics, proteomics, and whole-genome sequencing in a consanguineous population
topic Biological sciences
Genetics
Biomedical and clinical sciences
Medical biochemistry and metabolomics
Pharmacology and pharmaceutical sciences
human gene knockouts
metabolomicsproteomics
whole-genome sequencing
consanguineous population
drug target validation
drug target identification