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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 C. N., Marenne G., Varshney A., Corbin L. J., Luan J., Willems S. M., Wu Y., Zhang X., Horikoshi M., Boutin T. S., Magi R., Waage J., Li-Gao R., Chan K. H. K., Yao J., Anasanti M. D., Chu A. Y., Claringbould A., Heikkinen J., Hong J., Hottenga J. -J., Huo S., Kaakinen M. A., Louie T., Marz W., Moreno-Macias H., Ndungu A., Nelson S. C., Nolte I. M., North K. E., Raulerson C. K., Ray D., Rohde R., Rybin D., Schurmann C., Sim X., Southam L., Stewart I. D., Wang C. A., Wang Y., Wu P., Zhang W., Ahluwalia T. S., Appel E. V. R., Bielak L. F., Brody J. A., Burtt N. P., Cabrera C. P., Cade B. E., Chai J. F., Chai X., Chang L. -C., Chen C. -H., Chen B. H., Chitrala K. N., Chiu Y. -F., de Haan H. G., Delgado G. E., Demirkan A., Duan Q., Engmann J., Fatumo S. A., Gayan J., Giulianini F., Gong J. H., Gustafsson S., Hai Y., Hartwig F. P., He J., Heianza Y., Huang T., Huerta-Chagoya A., Hwang M. Y., Jensen R. A., Kawaguchi T., Kentistou K. A., Kim Y. J., Kleber M. E., Kooner I. K., Lai S., Lange L. A., Langefeld C. D., Lauzon M., Li M., Ligthart S., Liu J., Loh M., Long J., Lyssenko V., Mangino M., Marzi C., Montasser M. E., Nag A., Nakatochi M., Noce D., Noordam R., Pistis G., Preuss M., Raffield L., Rasmussen-Torvik L. J., Rich S. S., Robertson N. R., Rueedi R., Ryan K., Sanna S., Saxena R., Schraut K. E., Sennblad B., Setoh K., Smith A. V., Sparso T., Strawbridge R. J., Takeuchi F., Tan J., Trompet S., van den Akker E., van der Most P. J., Verweij N., Vogel M., Wang H., Wang C., Wang N., Warren H. R., Wen W., Wilsgaard T., Wong A., Wood A. R., Xie T., Zafarmand M. H., Zhao J. -H., Zhao W., Amin N., Arzumanyan Z., Astrup A., Bakker S. J. L., Baldassarre D., Beekman M., Bergman R. N., Bertoni A., Bluher M., Bonnycastle L. L., Bornstein S. R., Bowden D. W., Cai Q., Campbell A., Campbell H., Chang Y. C., de Geus E. J. C., Dehghan A., Du S., Eiriksdottir G., Farmaki A. E., Franberg M., Fuchsberger C., Gao Y., Gjesing A. P., Goel A., Han S., Hartman C. A., Herder C., Hicks A. A., Hsieh C. -H., Hsueh W. A., Ichihara S., Igase M., Ikram M. A., Johnson W. C., Jorgensen M. E., Joshi P. K., Kalyani R. R., Kandeel F. R., Katsuya T., Khor C. C., Kiess W., Kolcic I., Kuulasmaa T., Kuusisto J., Lall K., Lam K., Lawlor D. A., Lee N. R., Lemaitre R. N., Li H., Lin S. -Y., Lindstrom J., Linneberg A., Lorenzo C., Matsubara T., Matsuda F., Mingrone G., Mooijaart S., Moon S., Nabika T., Nadkarni G. N., Nadler J. L., Nelis M., Neville M. J., Norris J. M., Ohyagi Y., Peters A., Peyser P. A., Polasek O., Qi Q., Raven D., Reilly D. F., Reiner A., Rivideneira F., Roll K., Rudan I., Sabanayagam C., Sandow K., Sattar N., Schurmann A., Shi J., Stringham H. M., Taylor K. D., Teslovich T. M., Thuesen B., Timmers P. R. H. J., Tremoli E., Tsai M. Y., Uitterlinden A., van Dam R. M., van Heemst D., van Hylckama Vlieg A., van Vliet-Ostaptchouk J. V., Vangipurapu J., Vestergaard H., Wang T., Willems van Dijk K., Zemunik T., Abecasis G. R., Adair L. S., Aguilar-Salinas C. A., Alarcon-Riquelme M. E., An P., Aviles-Santa L., Becker D. M., Beilin L. J., Bergmann S., Bisgaard H., Black C., Boehnke M., Boerwinkle E., Bohm B. O., Bonnelykke K., Boomsma D. I., Bottinger E. P., Buchanan T. A., Canouil M., Caulfield M. J., Chambers J. C., Chasman D. I., Chen Y. -D. I., Cheng C. -Y., Collins F. S., Correa A., Cucca F., de Silva H. J., Dedoussis G., Elmstahl S., Evans M. K., Ferrannini E., Ferrucci L., Florez J. C., Franks P. W., Frayling T. M., Froguel P., Gigante B., Goodarzi M. O., Gordon-Larsen P., Grallert H., Grarup N., Grimsgaard S., Groop L., Gudnason V., Guo X., Hamsten A., Hansen T., Hayward C., Heckbert S. R., Horta B. L., Huang W., Ingelsson E., James P. S., Jarvelin M. -R., Jonas J. B., Jukema J. W., Kaleebu P., Kaplan R., Kardia S. L. R., Kato N., Keinanen-Kiukaanniemi S. M., Kim B. -J., Kivimaki M., Koistinen H. A., Kooner J. S., Korner A., Kovacs P., Kuh D., Kumari M., Kutalik Z., Laakso M., Lakka T. A., Launer L. J., Leander K., Lin X., Lind L., Lindgren C., Liu S., Loos R. J. F., Magnusson P. K. E., Mahajan A., Metspalu A., Mook-Kanamori D. O., Mori T. A., Munroe P. B., Njolstad I., O'Connell J. R., Oldehinkel A. J., Ong K. K., Padmanabhan S., Palmer C. N. A., Palmer N. D., Pedersen O., Pennell C. E., Porteous D. J., Pramstaller P. P., Province M. A., Psaty B. M., Qi L., Raffel L. J., Rauramaa R., Redline S., Ridker P. M., Rosendaal F. R., Saaristo T. E., Sandhu M., Saramies J., Schneiderman N., Schwarz P., Scott L. J., Selvin E., Sever P., Shu X. -O., Slagboom P. E., Small K. S., Smith B. H., Snieder H., Sofer T., Sorensen T. I. A., Spector T. D., Stanton A., Steves C. J., Stumvoll M., Sun L., Tabara Y., Tai E. S., Timpson N. J., Tonjes A., Tuomilehto J., Tusie T., Uusitupa M., van der Harst P., van Duijn C., Vitart V., Vollenweider P., Vrijkotte T. G. M., Wagenknecht L. E., Walker M., Wang Y. X., Wareham N. J., Watanabe R. M., Watkins H., Wei W. B., Wickremasinghe A. R., Willemsen G., Wilson J. F., Wong T. -Y., Wu J. -Y., Xiang A. H., Yanek L. R., Yengo L., Yokota M., Zeggini E., Zheng W., Zonderman A. B., Rotter J. I., Gloyn A. L., McCarthy M. I., Dupuis J., Meigs J. B., Scott R. A., Prokopenko I., Leong A., Liu C. -T., Parker S. C. J., Mohlke K. L., Langenberg C., Wheeler E., Morris A. P., Barroso I.
Συνεισφορές: Chen, J., Spracklen, C. N., Marenne, G., Varshney, A., Corbin, L. J., Luan, J., Willems, S. M., Wu, Y., Zhang, X., Horikoshi, M., Boutin, T. S., Magi, R., Waage, J., Li-Gao, R., Chan, K. H. K., Yao, J., Anasanti, M. D., Chu, A. Y., Claringbould, A., Heikkinen, J., Hong, J., Hottenga, J. -J., Huo, S., Kaakinen, M. A., Louie, T., Marz, W., Moreno-Macias, H., Ndungu, A., Nelson, S. C., Nolte, I. M., North, K. E., Raulerson, C. K., Ray, D., Rohde, R., Rybin, D., Schurmann, C., Sim, X., Southam, L., Stewart, I. D., Wang, C. A., Wang, Y., Wu, P., Zhang, W., Ahluwalia, T. S., Appel, E. V. R., Bielak, L. F., Brody, J. A., Burtt, N. P., Cabrera, C. P., Cade, B. E., Chai, J. F., Chai, X., Chang, L. -C., Chen, C. -H., Chen, B. H., Chitrala, K. N., Chiu, Y. -F., de Haan, H. G., Delgado, G. E., Demirkan, A., Duan, Q., Engmann, J., Fatumo, S. A., Gayan, J., Giulianini, F., Gong, J. H., Gustafsson, S., Hai, Y., Hartwig, F. P., He, J., Heianza, Y., Huang, T., Huerta-Chagoya, A., Hwang, M. Y., Jensen, R. A., Kawaguchi, T., Kentistou, K. A., Kim, Y. J., Kleber, M. E., Kooner, I. K., Lai, S., Lange, L. A., Langefeld, C. D., Lauzon, M., Li, M., Ligthart, S., Liu, J., Loh, M., Long, J., Lyssenko, V., Mangino, M., Marzi, C., Montasser, M. E., Nag, A., Nakatochi, M., Noce, D., Noordam, R., Pistis, G., Preuss, M., Raffield, L.
Έτος έκδοσης: 2021
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
Γλώσσα: English
Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000656384400001; volume:53; issue:6; firstpage:840; lastpage:860; numberofpages:21; journal:NATURE GENETICS; https://hdl.handle.net/11388/346512
DOI: 10.1038/s41588-021-00852-9
Διαθεσιμότητα: https://hdl.handle.net/11388/346512
https://doi.org/10.1038/s41588-021-00852-9
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Items – Name: Title
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  Data: The trans-ancestral genomic architecture of glycemic traits
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A.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Kim+Y%2E+J%2E%22&quot;&gt;Kim Y. J.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Kleber+M%2E+E%2E%22&quot;&gt;Kleber M. E.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Kooner+I%2E+K%2E%22&quot;&gt;Kooner I. K.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Lai+S%2E%22&quot;&gt;Lai S.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Lange+L%2E+A%2E%22&quot;&gt;Lange L. A.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Langefeld+C%2E+D%2E%22&quot;&gt;Langefeld C. D.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Lauzon+M%2E%22&quot;&gt;Lauzon M.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Li+M%2E%22&quot;&gt;Li M.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Ligthart+S%2E%22&quot;&gt;Ligthart S.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Liu+J%2E%22&quot;&gt;Liu J.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Loh+M%2E%22&quot;&gt;Loh M.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Long+J%2E%22&quot;&gt;Long J.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Lyssenko+V%2E%22&quot;&gt;Lyssenko V.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Mangino+M%2E%22&quot;&gt;Mangino M.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Marzi+C%2E%22&quot;&gt;Marzi C.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Montasser+M%2E+E%2E%22&quot;&gt;Montasser M. E.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Nag+A%2E%22&quot;&gt;Nag A.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Nakatochi+M%2E%22&quot;&gt;Nakatochi M.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Noce+D%2E%22&quot;&gt;Noce D.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Noordam+R%2E%22&quot;&gt;Noordam R.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Pistis+G%2E%22&quot;&gt;Pistis G.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Preuss+M%2E%22&quot;&gt;Preuss M.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Raffield+L%2E%22&quot;&gt;Raffield L.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Rasmussen-Torvik+L%2E+J%2E%22&quot;&gt;Rasmussen-Torvik L. 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N.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Nadler+J%2E+L%2E%22&quot;&gt;Nadler J. L.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Nelis+M%2E%22&quot;&gt;Nelis M.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Neville+M%2E+J%2E%22&quot;&gt;Neville M. J.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Norris+J%2E+M%2E%22&quot;&gt;Norris J. M.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Ohyagi+Y%2E%22&quot;&gt;Ohyagi Y.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Peters+A%2E%22&quot;&gt;Peters A.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Peyser+P%2E+A%2E%22&quot;&gt;Peyser P. 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M.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Taylor+K%2E+D%2E%22&quot;&gt;Taylor K. D.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Teslovich+T%2E+M%2E%22&quot;&gt;Teslovich T. M.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Thuesen+B%2E%22&quot;&gt;Thuesen B.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Timmers+P%2E+R%2E+H%2E+J%2E%22&quot;&gt;Timmers P. R. H. J.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Tremoli+E%2E%22&quot;&gt;Tremoli E.&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Tsai+M%2E+Y%2E%22&quot;&gt;Tsai M. 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– Name: Author
  Label: Contributors
  Group: Au
  Data: Chen, J.&lt;br /&gt;Spracklen, C. N.&lt;br /&gt;Marenne, G.&lt;br /&gt;Varshney, A.&lt;br /&gt;Corbin, L. J.&lt;br /&gt;Luan, J.&lt;br /&gt;Willems, S. M.&lt;br /&gt;Wu, Y.&lt;br /&gt;Zhang, X.&lt;br /&gt;Horikoshi, M.&lt;br /&gt;Boutin, T. S.&lt;br /&gt;Magi, R.&lt;br /&gt;Waage, J.&lt;br /&gt;Li-Gao, R.&lt;br /&gt;Chan, K. H. K.&lt;br /&gt;Yao, J.&lt;br /&gt;Anasanti, M. D.&lt;br /&gt;Chu, A. Y.&lt;br /&gt;Claringbould, A.&lt;br /&gt;Heikkinen, J.&lt;br /&gt;Hong, J.&lt;br /&gt;Hottenga, J. -J.&lt;br /&gt;Huo, S.&lt;br /&gt;Kaakinen, M. A.&lt;br /&gt;Louie, T.&lt;br /&gt;Marz, W.&lt;br /&gt;Moreno-Macias, H.&lt;br /&gt;Ndungu, A.&lt;br /&gt;Nelson, S. C.&lt;br /&gt;Nolte, I. M.&lt;br /&gt;North, K. E.&lt;br /&gt;Raulerson, C. K.&lt;br /&gt;Ray, D.&lt;br /&gt;Rohde, R.&lt;br /&gt;Rybin, D.&lt;br /&gt;Schurmann, C.&lt;br /&gt;Sim, X.&lt;br /&gt;Southam, L.&lt;br /&gt;Stewart, I. D.&lt;br /&gt;Wang, C. A.&lt;br /&gt;Wang, Y.&lt;br /&gt;Wu, P.&lt;br /&gt;Zhang, W.&lt;br /&gt;Ahluwalia, T. S.&lt;br /&gt;Appel, E. V. R.&lt;br /&gt;Bielak, L. F.&lt;br /&gt;Brody, J. A.&lt;br /&gt;Burtt, N. P.&lt;br /&gt;Cabrera, C. P.&lt;br /&gt;Cade, B. E.&lt;br /&gt;Chai, J. F.&lt;br /&gt;Chai, X.&lt;br /&gt;Chang, L. -C.&lt;br /&gt;Chen, C. -H.&lt;br /&gt;Chen, B. H.&lt;br /&gt;Chitrala, K. N.&lt;br /&gt;Chiu, Y. -F.&lt;br /&gt;de Haan, H. G.&lt;br /&gt;Delgado, G. E.&lt;br /&gt;Demirkan, A.&lt;br /&gt;Duan, Q.&lt;br /&gt;Engmann, J.&lt;br /&gt;Fatumo, S. A.&lt;br /&gt;Gayan, J.&lt;br /&gt;Giulianini, F.&lt;br /&gt;Gong, J. H.&lt;br /&gt;Gustafsson, S.&lt;br /&gt;Hai, Y.&lt;br /&gt;Hartwig, F. P.&lt;br /&gt;He, J.&lt;br /&gt;Heianza, Y.&lt;br /&gt;Huang, T.&lt;br /&gt;Huerta-Chagoya, A.&lt;br /&gt;Hwang, M. Y.&lt;br /&gt;Jensen, R. A.&lt;br /&gt;Kawaguchi, T.&lt;br /&gt;Kentistou, K. A.&lt;br /&gt;Kim, Y. J.&lt;br /&gt;Kleber, M. E.&lt;br /&gt;Kooner, I. K.&lt;br /&gt;Lai, S.&lt;br /&gt;Lange, L. A.&lt;br /&gt;Langefeld, C. D.&lt;br /&gt;Lauzon, M.&lt;br /&gt;Li, M.&lt;br /&gt;Ligthart, S.&lt;br /&gt;Liu, J.&lt;br /&gt;Loh, M.&lt;br /&gt;Long, J.&lt;br /&gt;Lyssenko, V.&lt;br /&gt;Mangino, M.&lt;br /&gt;Marzi, C.&lt;br /&gt;Montasser, M. E.&lt;br /&gt;Nag, A.&lt;br /&gt;Nakatochi, M.&lt;br /&gt;Noce, D.&lt;br /&gt;Noordam, R.&lt;br /&gt;Pistis, G.&lt;br /&gt;Preuss, M.&lt;br /&gt;Raffield, L.
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2021
– 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
  Label: Document Type
  Group: TypDoc
  Data: article in journal/newspaper
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: info:eu-repo/semantics/altIdentifier/wos/WOS:000656384400001; volume:53; issue:6; firstpage:840; lastpage:860; numberofpages:21; journal:NATURE GENETICS; https://hdl.handle.net/11388/346512
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1038/s41588-021-00852-9
– Name: URL
  Label: Availability
  Group: URL
  Data: https://hdl.handle.net/11388/346512&lt;br /&gt;https://doi.org/10.1038/s41588-021-00852-9
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsbas.FD676D6F
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.FD676D6F
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        Value: 10.1038/s41588-021-00852-9
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    Titles:
      – TitleFull: The trans-ancestral genomic architecture of glycemic traits
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      – PersonEntity:
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      – PersonEntity:
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      – PersonEntity:
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            NameFull: Southam L.
      – 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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            NameFull: Zhang W.
      – 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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      – 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:
          Name:
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      – PersonEntity:
          Name:
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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:
          Name:
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      – PersonEntity:
          Name:
            NameFull: Peters A.
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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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