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The trans-ancestral genomic architecture of glycemic traits

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: The trans-ancestral genomic architecture of glycemic traits
Συγγραφείς: Chen, J, Spracklen, CN, Marenne, G, Varshney, A, Corbin, LJ, Luan, J, Willems, SM, Wu, Y, Zhang, X, Horikoshi, M, Boutin, TS, Magi, R, Waage, J, Li-Gao, R, Chan, KHK, Yao, J, Anasanti, MD, Chu, AY, Claringbould, A, Heikkinen, J, Hong, J, Hottenga, J-J, Huo, S, Kaakinen, MA, Louie, T, Maerz, W, Moreno-Macias, H, Ndungu, A, Nelson, SC, Nolte, IM, North, KE, Raulerson, CK, Ray, D, Rohde, R, Rybin, D, Schurmann, C, Sim, X, Southam, L, Stewart, ID, Wang, CA, Wang, Y, Wu, P, Zhang, W, Ahluwalia, TS, Appel, EVR, Bielak, LF, Brody, JA, Burtt, NP, Cabrera, CP, Cade, BE, Chai, JF, Chai, X, Chang, L-C, Chen, C-H, Chen, BH, Chitrala, KN, Chiu, Y-F, de Haan, HG, Delgado, GE, Demirkan, A, Duan, Q, Engmann, J, Fatumo, SA, Gayan, J, Giulianini, F, Gong, JH, Gustafsson, S, Hai, Y, Hartwig, FP, He, J, Heianza, Y, Huang, T, Huerta-Chagoya, A, Hwang, MY, Jensen, RA, Kawaguchi, T, Kentistou, KA, Kim, YJ, Kleber, ME, Kooner, IK, Lai, S, Lange, LA, Langefeld, CD, Lauzon, M, Li, M, Ligthart, S, Liu, J, Loh, M, Long, J, Lyssenko, V, Mangino, M, Marzi, C, Montasser, ME, Nag, A, Nakatochi, M, Noce, D, Noordam, R, Pistis, G, Preuss, M, Raffield, L, Rasmussen-Torvik, LJ, Rich, SS, Robertson, NR, Rueedi, R, Ryan, K, Sanna, S, Saxena, R, Schraut, KE, Sennblad, B, Setoh, K, Smith, AV, Sparso, T, Strawbridge, RJ, Takeuchi, F, Tan, J, Trompet, S, van den Akker, E, van der Most, PJ, Verweij, N, Vogel, M, Wang, H, Wang, C, Wang, N, Warren, HR, Wen, W, Wilsgaard, T, Wong, A, Wood, AR, Xie, T, Zafarmand, MH, Zhao, J-H, Zhao, W, Amin, N, Arzumanyan, Z, Astrup, A, Bakker, SJL, Baldassarre, D, Beekman, M, Bergman, RN, Bertoni, A, Blueher, M, Bonnycastle, LL, Bornstein, SR, Bowden, DW, Cai, Q, Campbell, A, Campbell, H, Chang, YC, de Geus, EJC, Dehghan, A, Du, S, Eiriksdottir, G, Farmaki, AE, Franberg, M, Fuchsberger, C, Gao, Y, Gjesing, AP, Goel, A, Han, S, Hartman, CA, Herder, C, Hicks, AA, Hsieh, C-H, Hsueh, WA, Ichihara, S, Igase, M, Ikram, MA, Johnson, WC, Jorgensen, ME, Joshi, PK, Kalyani, RR, Kandeel, FR, Katsuya, T, Khor, CC, Kiess, W, Kolcic, I, Kuulasmaa, T, Kuusisto, J, Lall, K, Lam, K, Lawlor, DA, Lee, NR, Lemaitre, RN, Li, H, Lin, S-Y, Lindstrom, J, Linneberg, A, Lorenzo, C, Matsubara, T, Matsuda, F, Mingrone, G, Mooijaart, S, Moon, S, Nabika, T, Nadkarni, GN, Nadler, JL, Nelis, M, Neville, MJ, Norris, JM, Ohyagi, Y, Peters, A, Peyser, PA, Polasek, O, Qi, Q, Raven, D, Reilly, DF, Reiner, A, Rivideneira, F, Roll, K, Rudan, I, Sabanayagam, C, Sandow, K, Sattar, N, Schuermann, A, Shi, J, Stringham, HM, Taylor, KD, Teslovich, TM, Thuesen, B, Timmers, PRHJ, Tremoli, E, Tsai, MY, Uitterlinden, A, van Dam, RM, van Heemst, D, van Hylckama Vlieg, A, van Vliet-Ostaptchouk, JV, Vangipurapu, J, Vestergaard, H, Wang, T, Willems van Dijk, K, Zemunik, T, Abecasis, GR, Adair, LS, Aguilar-Salinas, CA, Alarcon-Riquelme, ME, An, P, Aviles-Santa, L, Becker, DM, Beilin, LJ, Bergmann, S, Bisgaard, H, Black, C, Boehnke, M, Boerwinkle, E, Boehm, BO, Bonnelykke, K, Boomsma, DI, Bottinger, EP, Buchanan, TA, Canouil, M, Caulfield, MJ, Chambers, JC, Chasman, DI, Chen, Y-DI, Cheng, C-Y, Collins, FS, Correa, A, Cucca, F, de Silva, HJ, Dedoussis, G, Elmstahl, S, Evans, MK, Ferrannini, E, Ferrucci, L, Florez, JC, Franks, PW, Frayling, TM, Froguel, P, Gigante, B, Goodarzi, MO, Gordon-Larsen, P, Grallert, H, Grarup, N, Grimsgaard, S, Groop, L, Gudnason, V, Guo, X, Hamsten, A, Hansen, T, Hayward, C, Heckbert, SR, Horta, BL, Huang, W, Ingelsson, E, James, PS, Jarvelin, M-R, Jonas, JB, Jukema, JW, Kaleebu, P, Kaplan, R, Kardia, SLR, Kato, N, Keinanen-Kiukaanniemi, SM, Kim, B-J, Kivimaki, M, Koistinen, HA, Kooner, JS, Koerner, A, Kovacs, P, Kuh, D, Kumari, M, Kutalik, Z, Laakso, M, Lakka, TA, Launer, LJ, Leander, K, Lin, X, Lind, L, Lindgren, C, Liu, S, Loos, RJF, Magnusson, PKE, Mahajan, A, Metspalu, A, Mook-Kanamori, DO, Mori, TA, Munroe, PB, Njolstad, I, O'Connell, JR, Oldehinkel, AJ, Ong, KK, Padmanabhan, S, Palmer, CNA, Palmer, ND, Pedersen, O, Pennell, CE, Porteous, DJ, Pramstaller, PP, Province, MA, Psaty, BM, Qi, L, Raffel, LJ, Rauramaa, R, Redline, S, Ridker, PM, Rosendaal, FR, Saaristo, TE, Sandhu, M, Saramies, J, Schneiderman, N, Schwarz, P, Scott, LJ, Selvin, E, Sever, P, Shu, X-O, Slagboom, PE, Small, KS, Smith, BH, Snieder, H, Sofer, T, Sorensen, TIA, Spector, TD, Stanton, A, Steves, CJ, Stumvoll, M, Sun, L, Tabara, Y, Tai, ES, Timpson, NJ, Tonjes, A, Tuomilehto, J, Tusie, T, Uusitupa, M, van der Harst, P, van Duijn, C, Vitart, V, Vollenweider, P, Vrijkotte, TGM, Wagenknecht, LE, Walker, M, Wang, YX, Wareham, NJ, Watanabe, RM, Watkins, H, Wei, WB, Wickremasinghe, AR, Willemsen, G, Wilson, JF, Wong, T-Y, Wu, J-Y, Xiang, AH, Yanek, LR, Yengo, L, Yokota, M, Zeggini, E, Zheng, W, Zonderman, AB, Rotter, JI, Gloyn, AL, McCarthy, MI, Dupuis, J, Meigs, JB, Scott, RA, Prokopenko, I, Leong, A, Liu, C-T, Parker, SCJ, Mohlke, KL, Langenberg, C, Wheeler, E, Morris, AP, Barroso, I
Πηγή: Nature Genetics , 53 (6) pp. 840-860. (2021)
Στοιχεία εκδότη: NATURE RESEARCH
Έτος έκδοσης: 2021
Συλλογή: University College London: UCL Discovery
Θεματικοί όροι: WIDE ASSOCIATION, INSULIN-RESISTANCE, GENE-EXPRESSION, DISEASE RISK, VARIANTS, GLUCOSE, LOCI, METAANALYSIS, MECHANISMS, HEMOGLOBIN
Περιγραφή: Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P < 5 × 10−8), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution.
Τύπος εγγράφου: article in journal/newspaper
Περιγραφή αρχείου: text
Γλώσσα: English
Relation: https://discovery.ucl.ac.uk/id/eprint/10134344/
Διαθεσιμότητα: https://discovery.ucl.ac.uk/id/eprint/10134344/1/Trans-ancestral%20genomic%20architecture%20of%20glycemic%20traits.%20final%20accepted.pdf
https://discovery.ucl.ac.uk/id/eprint/10134344/
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Αριθμός Καταχώρησης: edsbas.3C0436CD
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  – Url: https://discovery.ucl.ac.uk/id/eprint/10134344/1/Trans-ancestral genomic architecture of glycemic traits. final accepted.pdf#
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  Data: The trans-ancestral genomic architecture of glycemic traits
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– Name: TitleSource
  Label: Source
  Group: Src
  Data: Nature Genetics , 53 (6) pp. 840-860. (2021)
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: NATURE RESEARCH
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2021
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: University College London: UCL Discovery
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22WIDE+ASSOCIATION%22&quot;&gt;WIDE ASSOCIATION&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22INSULIN-RESISTANCE%22&quot;&gt;INSULIN-RESISTANCE&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22GENE-EXPRESSION%22&quot;&gt;GENE-EXPRESSION&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22DISEASE+RISK%22&quot;&gt;DISEASE RISK&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22VARIANTS%22&quot;&gt;VARIANTS&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22GLUCOSE%22&quot;&gt;GLUCOSE&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22LOCI%22&quot;&gt;LOCI&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22METAANALYSIS%22&quot;&gt;METAANALYSIS&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22MECHANISMS%22&quot;&gt;MECHANISMS&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22HEMOGLOBIN%22&quot;&gt;HEMOGLOBIN&lt;/searchLink&gt;
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P &lt; 5 &#215; 10−8), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution.
– Name: TypeDocument
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  Data: article in journal/newspaper
– Name: Format
  Label: File Description
  Group: SrcInfo
  Data: text
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: https://discovery.ucl.ac.uk/id/eprint/10134344/
– Name: URL
  Label: Availability
  Group: URL
  Data: https://discovery.ucl.ac.uk/id/eprint/10134344/1/Trans-ancestral%20genomic%20architecture%20of%20glycemic%20traits.%20final%20accepted.pdf&lt;br /&gt;https://discovery.ucl.ac.uk/id/eprint/10134344/
– Name: Copyright
  Label: Rights
  Group: Cpyrght
  Data: open
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsbas.3C0436CD
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.3C0436CD
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  BibEntity:
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: WIDE ASSOCIATION
        Type: general
      – SubjectFull: INSULIN-RESISTANCE
        Type: general
      – SubjectFull: GENE-EXPRESSION
        Type: general
      – SubjectFull: DISEASE RISK
        Type: general
      – SubjectFull: VARIANTS
        Type: general
      – SubjectFull: GLUCOSE
        Type: general
      – SubjectFull: LOCI
        Type: general
      – SubjectFull: METAANALYSIS
        Type: general
      – SubjectFull: MECHANISMS
        Type: general
      – SubjectFull: HEMOGLOBIN
        Type: general
    Titles:
      – TitleFull: The trans-ancestral genomic architecture of glycemic traits
        Type: main
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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            – D: 01
              M: 01
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-locals
              Value: edsbas
            – Type: issn-locals
              Value: edsbas.oa
          Titles:
            – TitleFull: Nature Genetics , 53 (6) pp. 840-860. (2021
              Type: main
ResultId 1