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  1. Article ; Online: Rare copy-number variants as modulators of common disease susceptibility.

    Auwerx, Chiara / Jõeloo, Maarja / Sadler, Marie C / Tesio, Nicolò / Ojavee, Sven / Clark, Charlie J / Mägi, Reedik / Reymond, Alexandre / Kutalik, Zoltán

    Genome medicine

    2024  Volume 16, Issue 1, Page(s) 5

    Abstract: Background: Copy-number variations (CNVs) have been associated with rare and debilitating genomic disorders (GDs) but their impact on health later in life in the general population remains poorly described.: Methods: Assessing four modes of CNV ... ...

    Abstract Background: Copy-number variations (CNVs) have been associated with rare and debilitating genomic disorders (GDs) but their impact on health later in life in the general population remains poorly described.
    Methods: Assessing four modes of CNV action, we performed genome-wide association scans (GWASs) between the copy-number of CNV-proxy probes and 60 curated ICD-10 based clinical diagnoses in 331,522 unrelated white British UK Biobank (UKBB) participants with replication in the Estonian Biobank.
    Results: We identified 73 signals involving 40 diseases, all of which indicating that CNVs increased disease risk and caused earlier onset. We estimated that 16% of these associations are indirect, acting by increasing body mass index (BMI). Signals mapped to 45 unique, non-overlapping regions, nine of which being linked to known GDs. Number and identity of genes affected by CNVs modulated their pathogenicity, with many associations being supported by colocalization with both common and rare single-nucleotide variant association signals. Dissection of association signals provided insights into the epidemiology of known gene-disease pairs (e.g., deletions in BRCA1 and LDLR increased risk for ovarian cancer and ischemic heart disease, respectively), clarified dosage mechanisms of action (e.g., both increased and decreased dosage of 17q12 impacted renal health), and identified putative causal genes (e.g., ABCC6 for kidney stones). Characterization of the pleiotropic pathological consequences of recurrent CNVs at 15q13, 16p13.11, 16p12.2, and 22q11.2 in adulthood indicated variable expressivity of these regions and the involvement of multiple genes. Finally, we show that while the total burden of rare CNVs-and especially deletions-strongly associated with disease risk, it only accounted for ~ 0.02% of the UKBB disease burden. These associations are mainly driven by CNVs at known GD CNV regions, whose pleiotropic effect on common diseases was broader than anticipated by our CNV-GWAS.
    Conclusions: Our results shed light on the prominent role of rare CNVs in determining common disease susceptibility within the general population and provide actionable insights for anticipating later-onset comorbidities in carriers of recurrent CNVs.
    MeSH term(s) Humans ; Disease Susceptibility ; Genome-Wide Association Study ; Body Mass Index ; Genomics
    Language English
    Publishing date 2024-01-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2484394-5
    ISSN 1756-994X ; 1756-994X
    ISSN (online) 1756-994X
    ISSN 1756-994X
    DOI 10.1186/s13073-023-01265-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Genetic determinants of plasma protein levels in the Estonian population.

    Kalnapenkis, Anette / Jõeloo, Maarja / Lepik, Kaido / Kukuškina, Viktorija / Kals, Mart / Alasoo, Kaur / Mägi, Reedik / Esko, Tõnu / Võsa, Urmo

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 7694

    Abstract: The proteome holds great potential as an intermediate layer between the genome and phenome. Previous protein quantitative trait locus studies have focused mainly on describing the effects of common genetic variations on the proteome. Here, we assessed ... ...

    Abstract The proteome holds great potential as an intermediate layer between the genome and phenome. Previous protein quantitative trait locus studies have focused mainly on describing the effects of common genetic variations on the proteome. Here, we assessed the impact of the common and rare genetic variations as well as the copy number variants (CNVs) on 326 plasma proteins measured in up to 500 individuals. We identified 184 cis and 94 trans signals for 157 protein traits, which were further fine-mapped to credible sets for 101 cis and 87 trans signals for 151 proteins. Rare genetic variation contributed to the levels of 7 proteins, with 5 cis and 14 trans associations. CNVs were associated with the levels of 11 proteins (7 cis and 5 trans), examples including a 3q12.1 deletion acting as a hub for multiple trans associations; and a CNV overlapping NAIP, a sensor component of the NAIP-NLRC4 inflammasome which is affecting pro-inflammatory cytokine interleukin 18 levels. In summary, this work presents a comprehensive resource of genetic variation affecting the plasma protein levels and provides the interpretation of identified effects.
    MeSH term(s) Humans ; Genome-Wide Association Study ; Proteome/genetics ; Estonia ; Polymorphism, Single Nucleotide ; Quantitative Trait Loci/genetics ; Blood Proteins/genetics ; DNA Copy Number Variations/genetics
    Chemical Substances Proteome ; Blood Proteins
    Language English
    Publishing date 2024-04-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-57966-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Chromosomal deletions on 16p11.2 encompassing SH2B1 are associated with accelerated metabolic disease.

    Hanssen, Ruth / Auwerx, Chiara / Jõeloo, Maarja / Sadler, Marie C / Henning, Elana / Keogh, Julia / Bounds, Rebecca / Smith, Miriam / Firth, Helen V / Kutalik, Zoltán / Farooqi, I Sadaf / Reymond, Alexandre / Lawler, Katherine

    Cell reports. Medicine

    2023  Volume 4, Issue 8, Page(s) 101155

    Abstract: New approaches are needed to treat people whose obesity and type 2 diabetes (T2D) are driven by specific mechanisms. We investigate a deletion on chromosome 16p11.2 (breakpoint 2-3 [BP2-3]) encompassing SH2B1, a mediator of leptin and insulin signaling. ... ...

    Abstract New approaches are needed to treat people whose obesity and type 2 diabetes (T2D) are driven by specific mechanisms. We investigate a deletion on chromosome 16p11.2 (breakpoint 2-3 [BP2-3]) encompassing SH2B1, a mediator of leptin and insulin signaling. Phenome-wide association scans in the UK (N = 502,399) and Estonian (N = 208,360) biobanks show that deletion carriers have increased body mass index (BMI; p = 1.3 × 10
    MeSH term(s) Humans ; Leptin ; Diabetes Mellitus, Type 2/genetics ; Obesity/genetics ; Metabolic Diseases ; Insulins ; Adaptor Proteins, Signal Transducing
    Chemical Substances Leptin ; Insulins ; SH2B1 protein, human ; Adaptor Proteins, Signal Transducing
    Language English
    Publishing date 2023-08-08
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2666-3791
    ISSN (online) 2666-3791
    DOI 10.1016/j.xcrm.2023.101155
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: GWAS meta-analyses clarify the genetics of cervical phenotypes and inform risk stratification for cervical cancer.

    Koel, Mariann / Võsa, Urmo / Jõeloo, Maarja / Läll, Kristi / Gualdo, Natàlia P / Laivuori, Hannele / Lemmelä, Susanna / Daly, Mark / Palta, Priit / Mägi, Reedik / Laisk, Triin

    Human molecular genetics

    2023  Volume 32, Issue 12, Page(s) 2103–2116

    Abstract: Genome-wide association studies (GWAS) have successfully identified associations for cervical cancer, but the underlying mechanisms of cervical biology and pathology remain uncharacterised. Our GWAS meta-analyses fill this gap, as we characterise the ... ...

    Abstract Genome-wide association studies (GWAS) have successfully identified associations for cervical cancer, but the underlying mechanisms of cervical biology and pathology remain uncharacterised. Our GWAS meta-analyses fill this gap, as we characterise the genetic architecture of cervical phenotypes, including cervical ectropion, cervicitis, cervical dysplasia, as well as up to 9229 cases and 490 304 controls for cervical cancer from diverse ancestries. Leveraging the latest computational methods and gene expression data, we refine the association signals for cervical cancer and propose potential causal variants and genes at each locus. We prioritise PAX8/PAX8-AS1, LINC00339, CDC42, CLPTM1L, HLA-DRB1 and GSDMB as the most likely candidate genes for cervical cancer signals, providing insights into cervical cancer pathogenesis and supporting the involvement of reproductive tract development, immune response and cellular proliferation/apoptosis. We construct a genetic risk score (GRS) that is associated with cervical cancer [hazard ratios (HR) = 3.1 (1.7-5.6) for the top 15% vs lowest 15% of individuals], and with other HPV- and immune-system-related diagnoses in a phenome-wide association study analysis. Our results propose valuable leads for further functional studies and present a GRS for cervical cancer that allows additional risk stratification and could potentially be used to personalise the conventional screening strategies for groups more susceptible to cervical cancer.
    MeSH term(s) Humans ; Female ; Genome-Wide Association Study ; Uterine Cervical Neoplasms/genetics ; Genetic Predisposition to Disease ; Phenotype ; Risk Assessment ; Polymorphism, Single Nucleotide/genetics
    Language English
    Publishing date 2023-03-16
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1108742-0
    ISSN 1460-2083 ; 0964-6906
    ISSN (online) 1460-2083
    ISSN 0964-6906
    DOI 10.1093/hmg/ddad043
    Database MEDical Literature Analysis and Retrieval System OnLINE

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