國家衛生研究院 NHRI:Item 3990099045/15799
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/15799


    Title: Whole genome association study of the plasma metabolome identifies metabolites linked to cardiometabolic disease in black individuals
    Authors: Tahir, UA;Katz, DH;Avila-Pachecho, J;Bick, AG;Pampana, A;Robbins, JM;Yu, Z;Chen, ZZ;Benson, MD;Cruz, DE;Ngo, D;Deng, S;Shi, X;Zheng, S;Eisman, AS;Farrell, L;Hall, ME;Correa, A;Tracy, RP;Durda, P;Taylor, KD;Liu, Y;Johnson, WC;Guo, X;Yao, J;Chen, YDI;Manichaikul, AW;Ruberg, FL;Blaner, WS;Jain, D;Bouchard, C;Sarzynski, MA;Rich, SS;Rotter, JI;Wang, TJ;Wilson, JG;Clish, CB;Natarajan, P;Gerszten, RE;Abe, N;Abecasis, G;Aguet, F;Albert, C;Almasy, L;Alonso, A;Ament, S;Anderson, P;Anugu, P;Applebaum-Bowden, D;Ardlie, K;Arking, D;Arnett, DK;Ashley-Koch, A;Aslibekyan, S;Assimes, T;Auer, P;Avramopoulos, D;Ayas, N;Balasubramanian, A;Barnard, J;Barnes, K;Barr, RG;Barron-Casella, E;Barwick, L;Beaty, T;Beck, G;Becker, D;Becker, L;Beer, R;Beitelshees, A;Benjamin, E;Benos, T;Bezerra, M;Bielak, L;Bis, J;Blackwell, T;Blangero, J;Blue, N;Boerwinkle, E;Bowden, DW;Bowler, R;Brody, J;Broeckel, U;Broome, J;Brown, D;Bunting, K;Burchard, E;Bustamante, C;Buth, E;Cade, B;Cardwell, J;Carey, V;Carrier, J;Carson, A;Carty, C;Casaburi, R;Romero, JPC;Casella, J;Castaldi, P;Chaffin, M, .;et al.
    Contributors: Institute of Population Health Sciences
    Abstract: Integrating genetic information with metabolomics has provided new insights into genes affecting human metabolism. However, gene-metabolite integration has been primarily studied in individuals of European Ancestry, limiting the opportunity to leverage genomic diversity for discovery. In addition, these analyses have principally involved known metabolites, with the majority of the profiled peaks left unannotated. Here, we perform a whole genome association study of 2,291 metabolite peaks (known and unknown features) in 2,466 Black individuals from the Jackson Heart Study. We identify 519 locus-metabolite associations for 427 metabolite peaks and validate our findings in two multi-ethnic cohorts. A significant proportion of these associations are in ancestry specific alleles including findings in APOE, TTR and CD36. We leverage tandem mass spectrometry to annotate unknown metabolites, providing new insight into hereditary diseases including transthyretin amyloidosis and sickle cell disease. Our integrative omics approach leverages genomic diversity to provide novel insights into diverse cardiometabolic diseases.
    Date: 2022-08-22
    Relation: Nature Communications. 2022 Aug 22;13:Article number 4923.
    Link to: http://dx.doi.org/10.1038/s41467-022-32275-3
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=2041-1723&DestApp=IC2JCR
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85136173694
    Appears in Collections:[Ren-Hua Chung] Periodical Articles
    [Chao A. Hsiung] Periodical Articles

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