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Sökning: L773:0027 8424 > (2020-2024) > Systems biology ana...

Systems biology analysis of human genomes points to key pathways conferring spina bifida risk

Aguiar-Pulido, Vanessa (författare)
Weill Cornell Medicine
Wolujewicz, Paul (författare)
Weill Cornell Medicine
Martinez-Fundichely, Alexander (författare)
Weill Cornell Medicine
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Elhaik, Eran (författare)
Lund University,Lunds universitet,Molekylär cellbiologi,Biologiska institutionen,Naturvetenskapliga fakulteten,Bioinformatik,Forskargrupper vid Lunds universitet,Molecular Cell Biology,Department of Biology,Faculty of Science,Bioinformatics,Lund University Research Groups
Thareja, Gaurav (författare)
Weill Cornell Medicine, Qatar
Abdel Aleem, Alice (författare)
Weill Cornell Medicine, Qatar
Chalhoub, Nader (författare)
Weill Cornell Medicine, Qatar
Cuykendall, Tawny (författare)
Weill Cornell Medicine
Al-Zamer, Jamel (författare)
Hamad Medical Corporation
Lei, Yunping (författare)
Baylor College of Medicine
El-Bashir, Haitham (författare)
Hamad Medical Corporation
Musser, James M (författare)
Methodist Hospital Houston
Al-Kaabi, Abdulla (författare)
Weill Cornell Medicine, Qatar
Shaw, Gary M (författare)
Stanford University School of Medicine
Khurana, Ekta (författare)
Weill Cornell Medicine
Suhre, Karsten (författare)
Weill Cornell Medicine, Qatar
Mason, Christopher E (författare)
Weill Cornell Medicine
Elemento, Olivier (författare)
Weill Cornell Medicine
Finnell, Richard H (författare)
Baylor College of Medicine
Ross, M Elizabeth (författare)
Weill Cornell Medicine
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 (creator_code:org_t)
2021-12-16
2021
Engelska 10 s.
Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 1091-6490. ; 118:51
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Spina bifida (SB) is a debilitating birth defect caused by multiple gene and environment interactions. Though SB shows non-Mendelian inheritance, genetic factors contribute to an estimated 70% of cases. Nevertheless, identifying human mutations conferring SB risk is challenging due to its relative rarity, genetic heterogeneity, incomplete penetrance, and environmental influences that hamper genome-wide association studies approaches to untargeted discovery. Thus, SB genetic studies may suffer from population substructure and/or selection bias introduced by typical candidate gene searches. We report a population based, ancestry-matched whole-genome sequence analysis of SB genetic predisposition using a systems biology strategy to interrogate 298 case-control subject genomes (149 pairs). Genes that were enriched in likely gene disrupting (LGD), rare protein-coding variants were subjected to machine learning analysis to identify genes in which LGD variants occur with a different frequency in cases versus controls and so discriminate between these groups. Those genes with high discriminatory potential for SB significantly enriched pathways pertaining to carbon metabolism, inflammation, innate immunity, cytoskeletal regulation, and essential transcriptional regulation consistent with their having impact on the pathogenesis of human SB. Additionally, an interrogation of conserved noncoding sequences identified robust variant enrichment in regulatory regions of several transcription factors critical to embryonic development. This genome-wide perspective offers an effective approach to the interrogation of coding and noncoding sequence variant contributions to rare complex genetic disorders.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Medicinsk genetik (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Medical Genetics (hsv//eng)

Nyckelord

Case-Control Studies
Genetic Predisposition to Disease
Genome, Human
Genome-Wide Association Study
Humans
Spinal Dysraphism/genetics
Systems Biology
Transcription Factors/genetics

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