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Your search keyword '"Wen-Hong L. Kao"' showing total 14 results
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14 results on '"Wen-Hong L. Kao"'

1. Genome-Wide Association of Copy Number Polymorphisms and Kidney Function.

Author

Man Li, Jacob Carey, Stephen Cristiano, Katalin Susztak, Josef Coresh, Eric Boerwinkle, Wen Hong L Kao, Terri H Beaty, Anna Köttgen, and Robert B Scharpf

Subjects
Medicine, Science
Abstract

Genome-wide association studies (GWAS) using single nucleotide polymorphisms (SNPs) have identified more than 50 loci associated with estimated glomerular filtration rate (eGFR), a measure of kidney function. However, significant SNPs account for a small proportion of eGFR variability. Other forms of genetic variation have not been comprehensively evaluated for association with eGFR. In this study, we assess whether changes in germline DNA copy number are associated with GFR estimated from serum creatinine, eGFRcrea. We used hidden Markov models (HMMs) to identify copy number polymorphic regions (CNPs) from high-throughput SNP arrays for 2,514 African (AA) and 8,645 European ancestry (EA) participants in the Atherosclerosis Risk in Communities (ARIC) study. Separately for the EA and AA cohorts, we used Bayesian Gaussian mixture models to estimate copy number at regions identified by the HMM or previously reported in the HapMap Project. We identified 312 and 464 autosomal CNPs among individuals of EA and AA, respectively. Multivariate models adjusted for SNP-derived covariates of population structure identified one CNP in the EA cohort near genome-wide statistical significance (Bonferroni-adjusted p = 0.067) located on chromosome 5 (876-880kb). Overall, our findings suggest a limited role of CNPs in explaining eGFR variability.

Published
2017
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2. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

Author

Tazeen H. Jafar, Lars Lind, Peter Almgren, Wendy Winckler, Eitaro Nakashima, Young Min Cho, Annette Peters, Rona J. Strawbridge, Ananda R. Wickremasinghe, Katharine R. Owen, Lee-Ming Chuang, Tien-Jyun Chang, Graeme I. Bell, James B. Meigs, Bill Musk, Timo A. Lakka, Elin Grundberg, Wei Lu, Sarah Edkins, George Dedoussis, Weiping Jia, Danish Saleheen, Suthesh Sivapalaratnam, Maria Samuel, Tien Yin Wong, Lu Qi, Pierre Fontanillas, Momoko Horikoshi, Jirong Long, Abdul Basit, Anubha Mahajan, Andrew T. Hattersley, Markus M. Nöthen, Denis Rybin, Inger Njølstad, S. Krithika, Miguel Cruz, Delilah Zabaneh, Leena Peltonen, Jasmina Kravic, Sangsoo Kim, David Couper, Lori L. Bonnycastle, Heather M. Stringham, Yi-Cheng Chang, Paul Elliott, Eric J.G. Sijbrands, Nita G. Forouhi, Alena Stančáková, Ghazala Mirza, Robert W. Lawrence, Ruth J. F. Loos, Norman Klopp, Shiro Maeda, Martina Müller-Nurasyid, Jer-Yuarn Wu, Jianjun Liu, Kee Seng Chia, Elodie Eury, Loukianos S. Rallidis, Timothy M. Frayling, Ken Yamamoto, David Altshuler, Gunnar Sigurosson, Harald Grallert, Jackie F. Price, Barbara Thorand, Jouko Saramies, Malene M. Kristensen, Sonali Pechlivanis, Inês Barroso, Jong-Young Lee, Melissa Parkin, Josée Dupuis, Stéphane Lobbens, Jesús Kumate, Elena Tremoli, Sudhir Kowlessur, Xueling Sim, Norihiro Kato, Philippe Froguel, Kathleen Stirrups, Eero Lindholm, Alex S. F. Doney, Andres Metspalu, Yu-Tang Gao, Roman Wennauer, Xiao-Ou Shu, Marilyn C. Cornelis, Veikko Salomaa, Nanette R. Lee, Johanna Kuusisto, Caroline S. Fox, Man Li, James Scott, Wing-Yee So, Andrew R. Wood, Inga Prokopenko, Oddgeir L. Holmen, Tin Aung, Ryoichi Takayanagi, Chen Suo, Hara Kazuo, Carl G. P. Platou, Ann M. Kelly, Teresa Ferreira, Karl-Heinz Jöckel, Wei-Yen Lim, James F. Wilson, Tom Forsén, Qi Sun, Valur Emilsson, Gonçalo R. Abecasis, Fan Zhang, Timo Saaristo, Harry Campbell, Ying Wu, Mark Seielstad, Wei Zheng, Han Chen, Stavroula Kanoni, Yuqian Bao, Jose C. Florez, Wan Ting Tay, Ronald C. WMa, Gerald Steinbach, Min Jin Go, Rong Zhang, Junbin Liang, Vasiliki Lagou, Leif Groop, Emil Rehnberg, Nabi Shah, Weihua Zhang, Yun Li, Bengt Sennblad, Olle Melander, Nancy L. Pedersen, Muhammed Islam, Jaakko Tuomilehto, Young Jin Kim, Richard N. Bergman, Juliana C.N. Chan, Eleftheria Zeggini, Andrew D. Johnson, Kees Hovingh, Joban Sehmi, Rainer Rauramaa, Satu Männistö, Reedik Mägi, Samuel Liju, Mingyu Yang, Ayellet V. Segrè, Noël P. Burtt, Mozhgan Dorkhan, Beverley Balkau, Neelam Hassanali, Hyun Min Kang, Fabrizio Veglia, Eeva Korpi-Hyövälti, Loic Yengo, Elizabeth J. Rossin, Angela Silveira, Maggie C.Y. Ng, Yuan-Tsong Chen, Anders Hamsten, David R. Matthews, Mark J. Caulfield, Emmi Tikkanen, Tanya M. Teslovich, John R. B. Perry, Karen L. Mohlke, Sarah E. Hunt, Soo Heon Kwak, Jorge Escobedo, Christopher J. Groves, Ulf de Faire, Jeremy B M Jowett, Gudmar Thorleifsson, Michael Roden, Evelin Mihailov, Viswanathan Mohan, Craig L. Hanis, Thomas WMühleisen, Congrong Wang, Sonia Shah, Kyle J. Gaulton, Jaspal S. Kooner, Jiro Nakamura, Mustafa Atalay, Linda S. Adair, S Wiltshire, Tõnu Esko, Anna Jonsson, Antigone S. Dimas, Karin Leander, Li Ching Chang, George B. Grant, Bo Isomaa, Anne U. Jackson, Claudia Langenberg, Kristian Hveem, Yoon Shin Cho, Astradur B. Hreidarsson, Xu Wang, Keizo Ohnaka, Alexandra C. Nica, Simon D. Rees, Pau Navarro, Sekar Kathiresan, Rob M. van Dam, Zafar I. Hydrie, Bok Ghee Han, Francis S. Collins, Fuu Jen Tsai, Unnur Thorsteinsdottir, Ross M. Fraser, Caroline Hayward, Cornelia M. van Duijn, Samuli Ripatti, Mieke D. Trip, Hyung Lae Kim, Rafn Benediktsson, Candace Guiducci, Bruna Gigante, Kyong Soo Park, Wen Hong L. Kao, Tom Wilsgaard, Leena Kinnunen, John Danesh, Alan James, Alan R. Shuldiner, Mitsuhiro Yokota, Jen Mai Lee, Kari Stefansson, Erik Ingelsson, Colin N. A. Palmer, David J. Hunter, Paul Zimmet, Manickam Chidambaram, Sirkka Keinänen-Kiukaanniemi, Laura J. Scott, Susanne Moebus, Benjamin F. Voight, Wolfgang Rathmann, Hassan Khan, Thomas Illig, Prasad Katulanda, Christian Gieger, Andrew D. Morris, Yik Ying Teo, Andrew P. Morris, Venkatesan Radha, N. William Rayner, Johan G. Eriksson, Christian Dina, Igor Rudan, Sailaja Vedantam, Cheng Hu, James S. Pankow, Ann-Christine Syvänen, Karl Gertow, Valeriya Lyssenko, Guillaume Charpentier, Albert Hofman, Chiea Chuen Khor, Joseph Trakalo, Peter Kraft, Takashi Kadowaki, Qiuyin Cai, John C. Chambers, André G. Uitterlinden, Simon C. Potter, Nicholas J. Wareham, Soumya Raychaudhuri, Jian'an Luan, Tiinamaija Tuomi, Anthony H. Barnett, Juha Saltevo, Robert A. Scott, Valgerdur Steinthorsdottir, Peng Keat Ng, Mark I. McCarthy, Åsa K. Hedman, Kerrin S. Small, Julia Meyer, Frank B. Hu, Cecilia M. Lindgren, Jennifer E. Below, Nancy J. Cox, Jennie Hui, Andrew Crenshaw, Latonya F. Been, Nam H. Cho, Janani Pinidiyapathirage, A. Samad Shera, Bernhard OBoehm, Jason Carey, Augustine Kong, Twee Hee Ong, Philippe M. Frossard, Donald W. Bowden, Toshimasa Yamauchi, Steve E. Humphries, Cordelia Langford, Xinzhong Li, Hiroshi Ikegami, Stéphane Cauchi, Ching-Ti Liu, Michael Boehnke, Peter M. Nilsson, Debashish Das, John Beilby, Robin Young, Christian Herder, Asif Rasheed, Neil Robertson, Raimund Erbel, Fumihiko Takeuchi, Markku Laakso, Esteban J. Parra, Panos Deloukas, Eric Boerwinkle, Adan Valladares-Salgado, Chien-Hsiun Chen, Kay-Tee Khaw, Damiano Baldassarre, Ashok Kumar, E. Shyong Tai, Peter S. Chines, Dharambir KSanghera, Peter Donnelly, [ 1 ] Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford, England [ 2 ] Natl Inst Hlth, Ctr Genome Sci, Gangoe Myeon, Yeonje Ri, South Korea [ 3 ] Univ London Imperial Coll Sci Technol & Med, London, England [ 4 ] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA [ 5 ] Univ Oxford, Oxford Ctr Diabet Endocrinol & Metab, Oxford OX1 2JD, England [ 6 ] NHLBI, Framingham Heart Study, Framingham, MA USA [ 7 ] Wake Forest Sch Med, Ctr Genom & Personalized Med Res, Winston Salem, NC USA [ 8 ] Wake Forest Sch Med, Ctr Diabet Res, Winston Salem, NC USA [ 9 ] Univ London Imperial Coll Sci Technol & Med, Hammersmith Hosp, London, England [ 10 ] Univ Cambridge, Dept Publ Hlth & Primary Care, Cambridge, England [ 11 ] Ctr Noncommunicable Dis Pakistan, Karachi, Pakistan [ 12 ] Natl Univ Singapore, Dept Epidemiol & Publ Hlth, Singapore 117548, Singapore [ 13 ] Wellcome Trust Sanger Inst, Cambridge, England [ 14 ] Univ Michigan, Dept Biostat, Ann Arbor, MI 48109 USA [ 15 ] Univ N Carolina, Dept Nutr, Chapel Hill, NC USA [ 16 ] Lund Univ, Scania Univ Hosp, Dept Clin Sci Malmo, Ctr Diabet, Malmo, Sweden [ 17 ] Univ Eastern Finland, Inst Biomed, Kuopio, Finland [ 18 ] Singapore Natl Eye Ctr, Singapore Eye Res Inst, Singapore, Singapore [ 19 ] Natl Univ Singapore, Dept Ophthalmol, Singapore 117548, Singapore [ 20 ] IRCCS, Ctr Cardiol Monzino, Milan, Italy [ 21 ] Univ Milan, Dept Pharmacol Sci, Milan, Italy [ 22 ] INSERM, Ctr Rech Epidemiol & Sante Populat CESP, U1018, Villejuif, France [ 23 ] Univ Paris 11, UMRS 1018, Villejuif, France [ 24 ] Shanghai Jiao Tong Univ, Affiliated Peoples Hosp 6, Dept Endocrinol & Metab, Shanghai Key Lab Diabet Mellitus,Shanghai Diabet, Shanghai 200030, Peoples R China [ 25 ] Univ Birmingham, Coll Med & Dent Sci, Birmingham, W Midlands, England [ 26 ] Heart England Natl Hlth Serv NHS Fdn Trust, Ctr Biomed Res, Birmingham, W Midlands, England [ 27 ] Univ Cambridge, Addenbrookes Hosp, Metab Res Labs, Inst Metab Sci, Cambridge CB2 2QQ, England [ 28 ] Addenbrookes Hosp, Inst Metab Sci, Cambridge Biomed Res Ctr, Natl Inst Hlth Res, Cambridge, England [ 29 ] Baqai Inst Diabetol & Endocrinol, Karachi, Pakistan [ 30 ] Univ Oklahoma, Hlth Sci Ctr, Coll Med, Dept Pediat,Sect Genet, Oklahoma City, OK 73190 USA [ 31 ] Sir Charles Gairdner Hosp, Busselton Populat Med Res Inst, Nedlands, WA 6009, Australia [ 32 ] Queen Elizabeth II Med Ctr, PathWest Lab Med Western Australia, Nedlands, WA, Australia [ 33 ] Univ Western Australia, Sch Pathol & Lab Med, Nedlands, WA 6009, Australia [ 34 ] Univ Chicago, Dept Med, Chicago, IL 60637 USA [ 35 ] Univ Chicago, Dept Human Genet, Chicago, IL 60637 USA [ 36 ] Univ Iceland, Fac Med, Reykjavik, Iceland [ 37 ] Landspitali Univ Hosp, Reykjavik, Iceland [ 38 ] Cedars Sinai Med Ctr, Diabet & Obes Res Inst, Los Angeles, CA 90048 USA [ 39 ] Univ Med Ctr Ulm, Div Endocrinol & Diabet, Dept Internal Med, Ulm, Germany [ 40 ] Nanyang Technol Univ, Lee Kong Chian LKC Sch Med, Singapore 639798, Singapore [ 41 ] Univ Texas Hlth Sci Ctr Houston, Ctr Human Genet, Houston, TX 77030 USA [ 42 ] Baylor Coll Med, Human Genome Sequencing Ctr, Houston, TX 77030 USA [ 43 ] NHGRI, NIH, Bethesda, MD 20892 USA [ 44 ] Broad Inst Harvard & Massachusetts Inst Technol M, Cambridge, MA USA [ 45 ] Vanderbilt Univ, Sch Med, Vanderbilt Ingram Canc Ctr, Vanderbilt Epidemiol Ctr,Dept Med, Nashville, TN 37212 USA [ 46 ] Univ Edinburgh, Ctr Populat Hlth Sci, Edinburgh, Midlothian, Scotland [ 47 ] Univ Edinburgh, Western Gen Hosp, MRC, Inst Genet & Mol Med, Edinburgh, Midlothian, Scotland [ 48 ] CNRS, Unite Mixte Rech UMR 8199, Inst Biol, Lille, France [ 49 ] Univ Lille 2, Inst Pasteur, Lille, France [ 50 ] Queen Mary Univ London, Barts & London Sch Med, William Harvey Res Inst, London, England [ 51 ] Queen Mary Univ London, Barts & London Sch Med, William Harvey Res Inst, Barts & London Genome Ctr, London, England [ 52 ] Chinese Univ Hong Kong, Prince Wales Hosp, Dept Med & Therapeut, Hong Kong, Hong Kong, Peoples R China [ 53 ] Acad Sinica, Inst Biomed Sci, Taipei, Taiwan [ 54 ] Natl Taiwan Univ Hosp, Dept Internal Med, Taipei 100, Taiwan [ 55 ] Corbeil Essonnes Hosp, Endocrinol Diabetol Unit, Corbeil Essonnes, France [ 56 ] China Med Univ, Sch Chinese Med, Taichung, Taiwan [ 57 ] Boston Univ, Sch Publ Hlth, Dept Biostat, Boston, MA USA [ 58 ] Natl Univ Singapore, Ctr Mol Epidemiol, Singapore 117548, Singapore [ 59 ] Indian Council Med Res, Adv Ctr Genom Diabet, Madras Diabet Res Fdn, Dept Mol Genet, Madras, Tamil Nadu, India [ 60 ] Ajou Univ, Sch Med, Dept Prevent Med, Suwon 441749, South Korea [ 61 ] Seoul Natl Univ, Coll Med, Dept Internal Med, Seoul 151, South Korea [ 62 ] Natl Taiwan Univ, Sch Med, Grad Inst Clin Med, Taipei 10764, Taiwan [ 63 ] Harvard Univ, Sch Publ Hlth, Dept Nutr & Epidemiol, Boston, MA 02115 USA [ 64 ] Univ N Carolina, Dept Biostat, Collaborat Studies Coordinating Ctr, Chapel Hill, NC USA [ 65 ] Natl Univ Singapore, Saw Swee Hock Sch Publ Hlth, Singapore 117548, Singapore [ 66 ] Ealing Hosp NHS Trust, Southall, Middx, England [ 67 ] Karolinska Inst, Inst Environm Med, Divis Cardiovasc Epidemiol, S-10401 Stockholm, Sweden [ 68 ] Harokopio Univ, Dept Dietet Nutr, Athens, Greece [ 69 ] Univ Geneva, Sch Med, Dept Genet Med & Dev, CH-1211 Geneva, Switzerland [ 70 ] Biomed Sci Res Ctr Alexander Fleming, Vari, Greece [ 71 ] INSERM, UMR 1087, Nantes, France [ 72 ] CNRS, UMR 6291, Nantes, France [ 73 ] Univ Nantes, Nantes, France [ 74 ] Univ Dundee, Ninewells Hosp, Biomed Res Inst, Diabet Res Ctr, Dundee, Scotland [ 75 ] Univ Dundee, Ninewells Hosp, Biomed Res Inst, Pharmacogen Ctr, Dundee, Scotland [ 76 ] Univ Oxford, Dept Stat, Oxford OX1 3TG, England [ 77 ] Erasmus Univ, Med Ctr, Dept Epidemiol, Rotterdam, Netherlands [ 78 ] Netherlands Consortium Healthy Ageing, Netherland Genom Initiat, Rotterdam, Netherlands [ 79 ] Ctr Med Syst Biol, Rotterdam, Netherlands [ 80 ] Univ London Imperial Coll Sci Technol & Med, MRC, Hlth Protect Agcy, Ctr Environm & Hlth, London, England [ 81 ] Iceland Heart Assoc, Kopavogur, Iceland [ 82 ] Univ Duisburg Essen, Univ Hosp Essen, West German Heart Ctr, Clin Cardiol, Essen, Germany [ 83 ] Natl Inst Hlth & Welf, Dept Chron Dis Prevent, Helsinki, Finland [ 84 ] Univ Helsinki, Dept Gen Practice & Primary Hlth Care, Helsinki, Finland [ 85 ] Univ Helsinki, Gen Hosp, Unit Gen Practice, Helsinki, Finland [ 86 ] Folkhalsan Res Ctr, Helsinki, Finland [ 87 ] Inst Mexicano Seguro Social, Hosp Gen Reg 1, Unidad Invest Epidemiol Clin, Mexico City, DF, Mexico [ 88 ] Univ Tartu, Estonian Genome Ctr, EE-50090 Tartu, Estonia [ 89 ] Univ Tartu, Inst Mol & Cell Biol, EE-50090 Tartu, Estonia [ 90 ] Broad Inst, Program Med & Populat Genet, Cambridge, MA USA [ 91 ] Childrens Hosp, Div Genet & Endocrinol, Boston, MA 02115 USA [ 92 ] Harvard Univ, Sch Med, Dept Med, Boston, MA USA [ 93 ] Massachusetts Gen Hosp, Ctr Human Genet Res, Boston, MA 02114 USA [ 94 ] Massachusetts Gen Hosp, Diabet Res Ctr, Diabet Unit, Boston, MA 02114 USA [ 95 ] Addenbrookes Hosp, Inst Metab Sci, MRC, Epidemiol Unit, Cambridge, England [ 96 ] Vaasa Hlth Care Ctr, Vaasa, Finland [ 97 ] Brigham & Womens Hosp, Div Endocrinol & Metab, Boston, MA 02115 USA [ 98 ] Harvard Univ, Sch Med, Boston, MA USA [ 99 ] Univ Exeter, Peninsula Med Sch, Inst Biomed & Clin Sci, Exeter, Devon, England [ 100 ] Shanghai Canc Inst, Dept Epidemiol, Shanghai, Peoples R China [ 101 ] Karolinska Inst, Dept Med Solna, Atherosclerosis Res Unit, Stockholm, Sweden [ 102 ] Karolinska Univ, Hosp Solna, Ctr Mol Med, Stockholm, Sweden [ 103 ] Helmholtz Zentrum Muenchen, Inst Genet Epidemiol, Neuherberg, Germany [ 104 ] Helmholtz Zentrum Muenchen, Res Unit Mol Epidemiol, Neuherberg, Germany [ 105 ] Univ Munich, Clin Cooperat Grp Diabet, Munich, Germany [ 106 ] Helmholtz Zentrum Muenchen, Munich, Germany [ 107 ] Tech Univ Munich, Clin Cooperat Grp Nutrigen & Type Diabet 2, Munich, Germany [ 108 ] German Ctr Diabet Res DZD, Neuherberg, Germany [ 109 ] Kings Coll London, Dept Twin Res & Genet Epidemiol, London, England [ 110 ] Univ Tokyo, Grad Sch Med, Dept Diabet & Metab Dis, Tokyo, Japan [ 111 ] Univ Exeter, Peninsula Med Sch, Inst Biomed & Clin Sci, Exeter, Devon, England [ 112 ] Univ Dusseldorf, Leibniz Ctr Diabet Res, German Diabet Ctr, Inst Clin Diabetol, Dusseldorf, Germany [ 113 ] Norwegian Univ Sci & Technol, Dept Publ Hlth & Gen Practice, HUNT Res Ctr, Levanger, Norway [ 114 ] Univ Amsterdam, Acad Med Ctr, Dept Vasc Med, NL-1105 AZ Amsterdam, Netherlands [ 115 ] Brigham & Womens Hosp, Dept Med, Channing Lab, Boston, MA USA [ 116 ] Univ Western Australia, Sch Populat Hlth, Nedlands, WA 6009, Australia [ 117 ] UCL, Inst Cardiovasc Sci, London, England [ 118 ] Harvard Univ, Sch Publ Hlth, Program Mol & Genet Epidemiol, Boston, MA 02115 USA [ 119 ] Kinki Univ, Sch Med, Dept Diabet Endocrinol & Metab, Osaka 589, Japan [ 120 ] Hannover Med Sch, Hannover Unified Biobank, Hannover, Germany [ 121 ] Univ Uppsala Hosp, Dept Mol Sci, Mol Epidemiol & Sci Life Lab, Uppsala, Sweden [ 122 ] Aga Khan Univ, Dept Community Hlth Sci, Karachi, Pakistan [ 123 ] Dept Social Serv & Hlth Care, Pietarsaari, Finland [ 124 ] Aga Khan Univ, Dept Med, Karachi, Pakistan [ 125 ] Queen Elizabeth II Med Ctr, West Australian Sleep Disorders Res Inst, Dept Pulm Physiol & Sleep Med, Nedlands, WA, Australia [ 126 ] Univ Western Australia, Sch Med & Pharmacol, Nedlands, WA 6009, Australia [ 127 ] Univ Hosp Essen, Inst Med Informat Biometry & Epidemiol, Essen, Germany [ 128 ] Heart & Diabet Inst, Baker Int Diabet Inst IDI, Melbourne, Australia [ 129 ] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA [ 130 ] Massachusetts Gen Hosp, Cardiovasc Res Ctr, Boston, MA 02114 USA [ 131 ] Natl Ctr Global Hlth & Med, Res Inst, Shinjuku Ku, Tokyo, Japan [ 132 ] Univ Colombo, Dept Clin Med, Diabet Res Unit, Colombo, Sri Lanka [ 133 ] Univ Oulu, Inst Hlth Sci, Fac Med, Oulu, Finland [ 134 ] Oulu Univ Hosp, Unit Gen Practice, Oulu, Finland [ 135 ] Agcy Sci Technol & Res, Genome Inst Singapore, Singapore, Singapore [ 136 ] Ewha Womans Univ, Sch Med, Dept Biochem, Seoul, South Korea [ 137 ] Soongsil Univ, Sch Syst Biomed Sci, Seoul, South Korea [ 138 ] Natl Inst Hlth & Welf, Diabet Prevent Unit, Helsinki, Finland [ 139 ] deCODE Genet, Reykjavik, Iceland [ 140 ] South Ostrobothnia Cent Hosp, Seinajoki, Finland [ 141 ] Minist Hlth, Port Louis, Mauritius [ 142 ] Univ Toronto, Dept Anthropol, Mississauga, ON L5L 1C6, Canada [ 143 ] Fdn IMSS, Mexico City, DF, Mexico [ 144 ] Univ Eastern Finland, Dept Med, Kuopio, Finland [ 145 ] Kuopio Univ Hosp, SF-70210 Kuopio, Finland [ 146 ] Kuopio Res Inst Exercise Med, Kuopio, Finland [ 147 ] Univ Western Australia, Ctr Genet Epidemiol & Biostat, Nedlands, WA 6009, Australia [ 148 ] Univ San Carlos, Off Populat Studies Fdn Inc, Cebu, Philippines [ 149 ] Univ London Imperial Coll Sci Technol & Med, Hammersmith Hosp, Natl Heart & Lung Inst, London, England [ 150 ] Univ N Carolina, Dept Genet, Chapel Hill, NC USA [ 151 ] Univ N Carolina, Dept Biostat, Chapel Hill, NC USA [ 152 ] Beijing Genom Inst, Shenzhen, Peoples R China [ 153 ] Uppsala Univ, Akad Sjukhuset, Dept Med Sci, Uppsala, Sweden [ 154 ] Mt Sinai Sch Med, Charles R Bronfman Inst Personalized Med, New York, NY USA [ 155 ] Mt Sinai Sch Med, Child Hlth & Dev Inst, New York, NY USA [ 156 ] Mt Sinai Sch Med, Dept Prevent Med, New York, NY USA [ 157 ] Shanghai Inst Prevent Med, Shanghai, Peoples R China [ 158 ] Massachusetts Gen Hosp, Div Gen Med, Boston, MA 02114 USA [ 159 ] Dr Mohans Diabet Specialties Ctr, Madras, Tamil Nadu, India [ 160 ] Univ Bonn, Inst Human Genet, Bonn, Germany [ 161 ] Univ Bonn, Life & Brain Ctr, Dept Genom, Bonn, Germany [ 162 ] Univ Munich, Chair Genet Epidemiol, Inst Med Informat Biometry & Epidemiol, Munich, Germany [ 163 ] Univ Munich, Univ Hosp Grosshadern, Dept Med 1, Munich, Germany [ 164 ] Sir Charles Gairdner Hosp, Nedlands, WA 6009, Australia [ 165 ] Nagoya Univ, Grad Sch Med, Div Endocrinol & Diabet, Dept Internal Med, Nagoya, Aichi 4648601, Japan [ 166 ] Chubu Rosai Hosp, Dept Endocrinol & Diabet, Nagoya, Aichi, Japan [ 167 ] Univ Tromso, Fac Hlth Sci, Dept Community Med, Tromso, Norway [ 168 ] Kyushu Univ, Grad Sch Med Sci, Dept Geriatr Med, Higashi Ku, Fukuoka 812, Japan [ 169 ] Churchill Hosp, Hlth Res Biomed Res Ctr, Oxford Natl Inst, Oxford OX3 7LJ, England [ 170 ] Univ Minnesota, Div Epidemiol & Community Hlth, Minneapolis, MN USA [ 171 ] Seoul Natl Univ, Grad Sch Convergence Sci & Technol, Dept Mol Med & Biopharmaceut Sci, World Class Univ Program, Seoul, South Korea [ 172 ] Seoul Natl Univ, Coll Med, Seoul, South Korea [ 173 ] Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden [ 174 ] Inst Mol Med Finland FIMM, Helsinki, Finland [ 175 ] Helmholtz Zentrum Muenchen, Inst Epidemiol 2, Neuherberg, Germany [ 176 ] Univ Kelaniya, Fac Med, Dept Publ Hlth, Ragama, Sri Lanka [ 177 ] Nord Trondelag Hlth Trust, Levanger Hosp, Dept Internal Med, Levanger, Norway [ 178 ] Univ Gen Hosp Attikon, Athens, Greece [ 179 ] Univ Dusseldorf, Leibniz Ctr Diabet Res, German Diabet Ctr, Inst Biometr & Epidemiol, Dusseldorf, Germany [ 180 ] Kuopio Univ Hosp, Dept Clin Physiol & Nucl Med, SF-70210 Kuopio, Finland [ 181 ] Harvard Univ, Brigham & Womens Hosp, Sch Med, Div Rheumatol Immunol & Allergy, Boston, MA 02115 USA [ 182 ] Partners Ctr Personalized Genom Med, Boston, MA USA [ 183 ] Univ Dusseldorf, Dept Endocrinol & Diabetol, Dusseldorf, Germany [ 184 ] Univ Dusseldorf, Dept Metab Dis, Dusseldorf, Germany [ 185 ] Harvard Univ, Hlth Sci & Technol MD Program, Boston, MA 02115 USA [ 186 ] MIT, Boston, MA USA [ 187 ] Harvard Univ, Harvard Biol & Biomed Sci Program, Boston, MA 02115 USA [ 188 ] Boston Univ, Data Coordinating Ctr, Boston, MA 02215 USA [ 189 ] Finnish Diabet Assoc, Tampere, Finland [ 190 ] Pirkanmaa Hosp Dist, Tampere, Finland [ 191 ] Cent Finland Cent Hosp, Dept Med, Jyvaskyla, Finland [ 192 ] South Karelia Cent Hosp, Lappeenranta, Finland [ 193 ] UCL, Dept Genet Evolut & Environm, Genet Inst, London, England [ 194 ] Diabet Assoc Pakistan, Karachi, Pakistan [ 195 ] Univ Maryland, Sch Med, Div Endocrinol Diabet & Nutr, Baltimore, MD 21201 USA [ 196 ] Baltimore Vet Adm Med Ctr, Geriatr Res Educ & Clin Ctr, Baltimore, MD USA [ 197 ] Univ Maryland, Sch Med, Program Personalised & Genom Med, Baltimore, MD 21201 USA [ 198 ] Erasmus Univ, Med Ctr, Dept Internal Med, Rotterdam, Netherlands [ 199 ] Univ Ulm, Dept Clin Chem, D-89069 Ulm, Germany [ 200 ] Univ Ulm, Cent Lab, D-89069 Ulm, Germany [ 201 ] Uppsala Univ, Dept Med Sci, Uppsala, Sweden [ 202 ] Kyushu Univ, Grad Sch Med Sci, Dept Internal Med & Bioregulatory Sci, Higashi Ku, Fukuoka 812, Japan [ 203 ] Univ Helsinki, Helsinki Univ Hosp, Dept Med, Helsinki, Finland [ 204 ] Hosp Univ LaPaz IdiPAZ, Inst Invest Sanitaria, Madrid, Spain [ 205 ] Danube Univ Krems, Ctr Vasc Prevent, Krems, Austria [ 206 ] King Abdulaziz Univ, Diabet Res Grp, Jeddah 21413, Saudi Arabia [ 207 ] IMSS, Ctr Med Nacl Siglo 21, Hosp Especialidades, Unidad Invest Med Bioquim, Mexico City, DF, Mexico [ 208 ] Univ Penn, Perelman Sch Med, Dept Pharmacol, Philadelphia, PA 19104 USA [ 209 ] Univ Melbourne, Ctr Eye Res Australia, East Melbourne, Vic, Australia [ 210 ] Kyushu Univ, Med Inst Bioregulat, Res Ctr Genet Informat, Div Genome Anal,Higashi Ku, Fukuoka 812, Japan [ 211 ] Univ Lille 1, Math Lab, CNRS UMR 8524, MODAL Team,INRIA Lille Nord Europe, F-59655 Villeneuve Dascq, France [ 212 ] Aichi Gakuin Univ, Sch Dent, Dept Genome Sci, Nagoya, Aichi 464, Japan [ 213 ] Harvard Univ, Sch Med, Dept Genet, Boston, MA USA [ 214 ] Harvard Univ, Sch Med, Dept Mol Biol, Boston, MA USA [ 215 ] Massachusetts Gen Hosp, Diabet Unit, Boston, MA 02114 USA [ 216 ] Wake Forest Sch Med, Dept Biochem, Winston Salem, NC USA [ 217 ] Wake Forest Sch Med, Dept Internal Med, Winston Salem, NC USA [ 218 ] Hallym Univ, Dept Biomed Sci, Chunchon, Gangwon Do, South Korea [ 219 ] Univ Texas Hlth Sci Ctr Houston, Ctr Human Genet, Houston, TX 77030 USA [ 220 ] Imperial Coll Healthcare NHS Trust, London, England [ 221 ] Univ Calif San Francisco, Inst Human Genet, San Francisco, CA 94143 USA [ 222 ] Blood Syst Res Inst, San Francisco, CA USA [ 223 ] Natl Univ Singapore, Grad Sch Integrat Sci & Engn, Singapore 117548, Singapore [ 224 ] Natl Univ Singapore, Dept Stat & Appl Probabil, Singapore 117548, Singapore [ 225 ] Natl Univ Singapore, Dept Med, Singapore 117548, Singapore [ 226 ] Duke Natl Univ Singapore, Grad Sch Med, Singapore, Singapore [ 227 ] Univ Liverpool, Dept Biostat, Liverpool L69 3BX, Merseyside, England, Obstetrics & Gynecology, Radiology & Nuclear Medicine, Surgery, Epidemiology, Dermatology, Internal Medicine, Medical Microbiology & Infectious Diseases, Medical Research Council (MRC), National Institute for Health Research, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, and Cardiology

Subjects
CHROMATIN, endocrine system diseases, South Asian Type 2 Diabetes (SAT2D) Consortium, SCALE ASSOCIATION ANALYSIS, Medizin, LOCI, Genome-wide association study, VARIANTS, 0302 clinical medicine, Risk Factors, IMPUTATION, Glucose homeostasis, 11 Medical and Health Sciences, Genetics & Heredity, Genetics, 0303 health sciences, IDENTIFY, Hispanic or Latino, 3. Good health, MAP, POPULATIONS, Medical genetics, Type 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D-GENES) Consortium, Hispanic Americans, Life Sciences & Biomedicine, Asian Continental Ancestry Group, medicine.medical_specialty, European Continental Ancestry Group, TRANSETHNIC METAANALYSIS, 030209 endocrinology & metabolism, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Article, White People, Sykursýki, 03 medical and health sciences, Asian People, SDG 3 - Good Health and Well-being, medicine, Humans, Genetic Predisposition to Disease, Allele, Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, Alleles, 030304 developmental biology, Genetic association, Science & Technology, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, 06 Biological Sciences, Arfgengi, Genetic architecture, INDIVIDUALS, Diabetes Mellitus, Type 2, Case-Control Studies, GLUCOSE-HOMEOSTASIS, ASSOCIATION ANALYSES, Imputation (genetics), Developmental Biology, Genome-Wide Association Study
Abstract

To access publisher's full text version of this article click on the hyperlink at the bottom of the page To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry. Canadian Institutes of Health Research Medical Research Council UK G0601261 Mexico Convocatoria SSA/IMMS/ISSSTE-CONACYT 2012-2 clave 150352 IMSS R-2011-785-018 CONACYT Salud-2007-C01-71068 US National Institutes of Health DK062370 HG000376 DK085584 DK085545 DK073541 DK085501 Wellcome Trust WT098017 WT090532 WT090367 WT098381 WT081682 WT085475 info:eu-repo/grantAgreement/EC/FP7/201413

Published
2014
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3. Genome-Wide Association of Copy Number Polymorphisms and Kidney Function

Author

Robert B. Scharpf, Man Li, Katalin Susztak, Eric Boerwinkle, Anna Köttgen, Stephen Cristiano, Terri H. Beaty, Josef Coresh, Wen Hong L. Kao, and Jacob Carey

Subjects
0301 basic medicine, Male, Physiology, Markov models, lcsh:Medicine, Genome-wide association study, Blood Pressure, Kidney, Kidney Function Tests, Biochemistry, Vascular Medicine, 0302 clinical medicine, Polymorphism (computer science), Risk Factors, Chronic Kidney Disease, Medicine and Health Sciences, Hidden Markov models, International HapMap Project, lcsh:Science, Genetics, Multidisciplinary, Genomics, Middle Aged, Physical sciences, Nephrology, Creatinine, Hypertension, Female, Anatomy, Glomerular Filtration Rate, Research Article, DNA Copy Number Variations, Renal function, Black People, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, White People, 03 medical and health sciences, Genetic variation, Genome-Wide Association Studies, SNP, Humans, Genetic Predisposition to Disease, Genetic association, Renal Physiology, lcsh:R, Biology and Life Sciences, Computational Biology, Probability theory, Kidneys, Human Genetics, Renal System, Atherosclerosis, Genome Analysis, 030104 developmental biology, Genetic Loci, Linear Models, lcsh:Q, 030217 neurology & neurosurgery, Mathematics, Biomarkers, Genome-Wide Association Study
Abstract

Genome-wide association studies (GWAS) using single nucleotide polymorphisms (SNPs) have identified more than 50 loci associated with estimated glomerular filtration rate (eGFR), a measure of kidney function. However, significant SNPs account for a small proportion of eGFR variability. Other forms of genetic variation have not been comprehensively evaluated for association with eGFR. In this study, we assess whether changes in germline DNA copy number are associated with GFR estimated from serum creatinine, eGFRcrea. We used hidden Markov models (HMMs) to identify copy number polymorphic regions (CNPs) from high-throughput SNP arrays for 2,514 African (AA) and 8,645 European ancestry (EA) participants in the Atherosclerosis Risk in Communities (ARIC) study. Separately for the EA and AA cohorts, we used Bayesian Gaussian mixture models to estimate copy number at regions identified by the HMM or previously reported in the HapMap Project. We identified 312 and 464 autosomal CNPs among individuals of EA and AA, respectively. Multivariate models adjusted for SNP-derived covariates of population structure identified one CNP in the EA cohort near genome-wide statistical significance (Bonferroni-adjusted p = 0.067) located on chromosome 5 (876-880kb). Overall, our findings suggest a limited role of CNPs in explaining eGFR variability.

Published
2016

4. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance

Author

John R. B. Perry, James B. Meigs, José Dupuis, Luigi Ferrucci, Johan G. Eriksson, Vilmundur Gudnason, Eric J.G. Sijbrands, Jeanette S. Andrews, Jonna L. Grimsby, Lawrence F. Bielak, Peter Kovacs, Panos Deloukas, Marijana Peričić, Johannes H. Smit, Ruth J. F. Loos, Gonneke Willemsen, Eric Boerwinkle, Ben A. Oostra, Manuel Serrano-Ríos, Alena Stančáková, Meena Kumari, Antti Jula, Michael Marmot, Caroline S. Fox, Simon Heath, Guo Li, Ola Hansson, Gerard Waeber, Anne U. Jackson, Nicholas L. Smith, Markku Laakso, George Dedoussis, Aarno Palotie, Sara M. Willems, John F. Peden, Elisabeth Widen, Caroline Hayward, Alan F. Wright, Claes Ladenvall, May E. Montasser, María Teresa Martínez-Larrad, Peter Vollenweider, Louis Pérusse, Tamara B. Harris, Wen Hong L. Kao, Danijela Budimir, Denis Rybin, David B. Savage, Michael A. Province, Alisa K. Manning, Bruna Gigante, Najaf Amin, Lenore J. Launer, Naveed Sattar, Lori L. Bonnycastle, Göran Hallmans, Jeffrey R. O'Connell, Stéphane Lobbens, Jacques S. Beckmann, Gemma Cadby, J. Wouter Jukema, Maria Dimitriou, Michael Stumvoll, Max Vikström, Rona J. Strawbridge, Hugh Watkins, Lyle J. Palmer, Johanna Kuusisto, Aimo Ruokonen, Hanieh Yaghootkar, Yan V. Sun, Inês Barroso, Amy J. Swift, Nancy L. Pedersen, Lars Lind, Mladen Boban, Nita G. Forouhi, Ken K. Ong, Ivana Kolcic, Anke Tönjes, Timothy M. Frayling, Paul W. Franks, Narisu Narisu, Karin Leander, Serge Hercberg, Diana Zelenika, Sharon L.R. Kardia, Min A. Jhun, Marjo-Riitta Järvelin, Stella Trompet, Jaakko Kaprio, Toshiko Tanaka, David S. Siscovick, Toby Johnson, Cornelia M. van Duijn, Veikko Salomaa, Jose C. Florez, James F. Wilson, Leena Peltonen, Pilar Galan, Robert Clarke, Andrew A. Hicks, Claudia Langenberg, Anders Hamsten, David Couper, Albert Hofman, Dawn M. Waterworth, John Blangero, James S. Pankow, Nabila Bouatia-Naji, Sirkka Keinänen-Kiukaanniemi, Mark I. McCarthy, Valeriya Lyssenko, Leif Groop, Brenda W.J.H. Penninx, Ching-Ti Liu, Anuj Goel, Marina Pehlić, Michael Boehnke, Mika Kivimäki, Maria Sabater-Lleal, Emil Rehnberg, Ingrid B. Borecki, Ozren Polasek, Eco J. C. de Geus, Peter P. Pramstaller, Igor Rudan, Richard M. Watanabe, Pierre Meneton, Iva Miljkovic, Vincent Mooser, G. Mark Lathrop, John Beilby, Laura J. Rasmussen-Torvik, Arturo Corbató-Anchuelo, Yvonne Böttcher, Richard N. Bergman, Daniel R. Barnes, Paul C. D. Johnson, Mustafa Atalay, Aroon D. Hingorani, Olga D. Carlson, Perttu Salo, Jacqueline C.M. Witteman, Udo Seedorf, Timo Saaristo, Jian'an Luan, Nicholas J. Wareham, Gudny Eiriksdottir, Matti Uusitupa, Yongmei Liu, Jaakko Tuomilehto, Yurii S. Aulchenko, Peter Schwarz, Robert A. Scott, Lina Zgaga, Joseph Hung, Reedik Mägi, Maria Grazia Franzosi, Eric J. Brunner, Claude Bouchard, Ian Ford, Francis S. Collins, Ulf de Faire, Benjamin F. Voight, Erik Ingelsson, Mario A. Morken, Stefania Bandinelli, Nicole L. Glazer, Dmitry Shungin, Lars Lannfelt, André G. Uitterlinden, Tatijana Zemunik, Markus Perola, Kenneth Rice, Veronique Vitart, Kerrin S. Small, Jouke-Jan Hottenga, Han Chen, Jerome I. Rotter, Philippe Froguel, Karen L. Mohlke, Marie-Claude Vohl, Dorret I. Boomsma, Harry Campbell, Peter S. Chines, Pau Navarro, Vasiliki Lagou, Albert V. Smith, Kathleen Stirrups, Josephine M. Egan, Alan R. Shuldiner, Katri Räikkönen, Inga Prokopenko, Ping An, Rainer Rauramaa, Beverley Balkau, Thor Aspelund, Eleanor Wheeler, Mariza de Andrade, Richa Saxena, Jari Lahti, Cécile Lecoeur, Timo A. Lakka, Jennie Hui, Michael R. Erdos, Stavroula Kanoni, Kirsten Ohm Kyvik, Bengt Sennblad, Sarah H. Wild, Patricia A. Peyser, Patrik K. E. Magnusson, Claire Bellis, Elodie Eury, Jaana Lindström, Boston University [Boston] (BU), Broad Institute of Harvard and MIT, Partenaires INRAE, Massachusetts General Hospital, Massachusetts General Hospital [Boston], Department of Genetics [Boston], Harvard Medical School [Boston] (HMS), Department of Medicine, Université de Sherbrooke (UdeS), Addenbrooke's Hospital, Harvard Medical School [Boston] (HMS)-Beth Israel Deaconess Medical Center [Boston] (BIDMC), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), Université Lille Nord de France (COMUE), Department of Epidemiology, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System-Center for Social Epidemiology and Population Health, Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford [Oxford], The Wellcome Trust Centre for Human Genetics [Oxford], The Netherlands Cancer Institute, Ontario Institute for Cancer Research, Mount Sinai Hospital [Toronto, Canada] (MSH), VU University Amsterdam, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], University of Michigan System, Queen Mary University of London (QMUL), The Wellcome Trust Sanger Institute [Cambridge], Lund University [Lund], Diabetes Centre, Lund University, University of Helsinki, Wake Forest School of Medicine, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, University of Maryland School of Medicine, University of Maryland System, University of Edinburgh, University of Exeter, Department of Twin Research and Genetic Epidemiology, King's College London, London, Northwestern University [Evanston], National Institute of Health and Welfare, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Lund University Diabetes Centre, Umeå University, National Institutes of Health, Centre for Medical Systems Biology, Netherlands Genomics Initiative, Washington University in Saint Louis (WUSTL), Department of Health Sciences Research, Mayo Clinic, Wake Forest University, Icelandic Heart Association, Heart Preventive Clinic and Research Institute, University of Iceland, Institute of Biomedicine, Physiology, University of Eastern Finland, Institut National de la Santé et de la Recherche Médicale (INSERM), UMR S 1018, Université Paris-Sud - Paris 11 (UP11), Azienda Sanitaria Firenze, Department of Medical Genetics, Université de Lausanne (UNIL), Centre Hospitalier Universitaire Vaudois (CHUV), Queen Elizabeth II Medical Centre, Research Institute, University of Southern California (USC), University of Split, The University of Texas Health Science Center at Houston (UTHealth), Leipzig University, Pennington Biomedical Research Center, Department of Epidemiology & Public Health, University College of London [London] (UCL), San Carlos Clinical Hospital, University of North Carolina, Harokopio University, National Institute on Aging, Folkhälsan Research Centre, Vaasa Central Hospital, Unité de Recherche en Epidémiologie Nutritionnelle (UREN), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Psychiatry, EMGO - Lifestyle, overweight and diabetes, Epidemiology, Immunology, Erasmus School of Social and Behavioural Sciences, Clinical Genetics, Ophthalmology, Internal Medicine, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Multiple Tissue Human Expression Resource (MUTHER) Consortium, Ahmadi, K.R., Ainali, C., Barrett, A., Bataille, V., Bell, J.T., Buil, A., Deloukas, P., Dermitzakis, E.T., Dimas, A.S., Durbin, R., Glass, D., Grundberg, E., Hassanali, N., Hedman, Å.K., Ingle, C., Knowles, D., Krestyaninova, M., Lindgren, C.M., Lowe, C.E., McCarthy, M.I., Meduri, E., di Meglio, P., Min, J.L., Montgomery, S.B., Nestle, F.O., Nica, A.C., Nisbet, J., O'Rahilly, S., Parts, L., Potter, S., Sekowska, M., Shin, S.Y., Small, K.S., Soranzo, N., Spector, T.D., Surdulescu, G., Travers, M.E., Tsaprouni, L., Tsoka, S., Wilk, A., Yang, T.P., Zondervan, K.T., Voight, B.F., Scott, L.J., Steinthorsdottir, V., Morris, A.P., Dina, C., Welch, R.P., Zeggini, E., Huth, C., Aulchenko, Y.S., Thorleifsson, G., McCulloch, L.J., Ferreira, T., Grallert, H., Amin, N., Wu, G., Willer, C.J., Raychaudhuri, S., McCarroll, S.A., Langenberg, C., Hofmann, O.M., Dupuis, J., Qi, L., Segrè, A.V., van Hoek, M., Navarro, P., Ardlie, K., Balkau, B., Benediktsson, R., Bennett, A.J., Blagieva, R., Boerwinkle, E., Bonnycastle, L.L., Boström, K.B., Bravenboer, B., Bumpstead, S., Burtt, N.P., Charpentier, G., Chines, P.S., Cornelis, M., Couper, D.J., Crawford, G., Doney, A.S., Elliott, K.S., Elliott, A.L., Erdos, M.R., Fox, C.S., Franklin, C.S., Ganser, M., Gieger, C., Grarup, N., Green, T., Griffin, S., Groves, C.J., Guiducci, C., Hadjadj, S., Herder, C., Isomaa, B., Jackson, A.U., Johnson, P.R., Jørgensen, T., Kao, W.H., Klopp, N., Kong, A., Kraft, P., Kuusisto, J., Lauritzen, T., Li, M., Lieverse, A., Lyssenko, V., Marre, M., Meitinger, T., Midthjell, K., Morken, M.A., Narisu, N., Nilsson, P., Owen, K.R., Payne, F., Perry, J.R., Petersen, A.K., Platou, C., Proença, C., Prokopenko, I., Rathmann, W., Rayner, N.W., Robertson, N.R., Rocheleau, G., Roden, M., Sampson, M.J., Saxena, R., Shields, B.M., Shrader, P., Sigurdsson, G., Sparsø, T., Strassburger, K., Stringham, H.M., Sun, Q., Swift, A.J., Thorand, B., Tichet, J., Tuomi, T., van Dam, R.M., van Haeften, T.W., van Herpt, T., van Vliet-Ostaptchouk, J.V., Walters, G.B., Weedon, M.N., Wijmenga, C., Witteman, J., Bergman, R.N., Cauchi, S., Collins, F.S., Gloyn, A.L., Gyllensten, U., Hansen, T., Hide, W.A., Hitman, G.A., Hofman, A., Hunter, D.J., Hveem, K., Laakso, M., Mohlke, K.L., Morris, A.D., Palmer, C.N., Pramstaller, P.P., Rudan, I., Sijbrands, E., Stein, L.D., Tuomilehto, J., Uitterlinden, A., Walker, M., Wareham, N.J., Watanabe, R.M., Abecasis, G.R., Boehm, B.O., Campbell, H., Daly, M.J., Hattersley, A.T., Hu, F.B., Meigs, J.B., Pankow, J.S., Pedersen, O., Wichmann, H.E., Barroso, I., Florez, J.C., Frayling, T.M., Groop, L., Sladek, R., Thorsteinsdottir, U., Wilson, J.F., Illig, T., Froguel, P., van Duijn, C.M., Stefansson, K., Altshuler, D., Boehnke, M., Biological Psychology, EMGO+ - Lifestyle, Overweight and Diabetes, Vrije universiteit = Free university of Amsterdam [Amsterdam] (VU), and Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Sorbonne Paris Cité (USPC)-Université Paris 13 (UP13)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Institut National de la Recherche Agronomique (INRA)

Subjects
Blood Glucose, Netherlands Twin Register (NTR), medicine.medical_treatment, [SDV]Life Sciences [q-bio], LOCI, Genome-wide association study, Type 2 diabetes, SUSCEPTIBILITY, Body Mass Index, GLUCOSE, Blood Glucose/metabolism, Cholesterol, HDL/metabolism, Diabetes Mellitus, Type 2/genetics, Genome-Wide Association Study, Humans, Insulin/metabolism, Insulin Resistance/genetics, Polymorphism, Single Nucleotide, 0302 clinical medicine, Insulin, 2. Zero hunger, Genetics, 0303 health sciences, COMMON VARIANTS, 3. Good health, ENVIRONMENT INTERACTION, OBESITY, CORONARY-ARTERY-DISEASE, medicine.medical_specialty, 030209 endocrinology & metabolism, Accounting, Biology, Article, 03 medical and health sciences, Insulin resistance, SDG 3 - Good Health and Well-being, Internal medicine, Diabetes mellitus, medicine, 030304 developmental biology, Genetic association, Glycemic, loci, SNP, insulin, business.industry, Cholesterol, HDL, medicine.disease, Obesity, POLYMORPHISM, ASSOCIATION ANALYSIS, Endocrinology, Diabetes Mellitus, Type 2, TYPE-2 DIABETES RISK, Insulin Resistance, business
Abstract

Group Authors : DIAGRAM Consortium MUTHER Consortium variants influencing fasting glycemic traits and insulin resistance Seuls les 100 premiers auteurs ont été conservés dans la publication. La liste complète des auteurs et des des affiliations est disponible sur la publication https://www.nature.com/articles/ng.2274.pdf p. 667-669.; International audience; Recent genome-wide association studies have described many loci implicated in type 2 diabetes (T2D) pathophysiology and beta-cell dysfunction but have contributed little to the understanding of the genetic basis of insulin resistance. We hypothesized that genes implicated in insulin resistance pathways might be uncovered by accounting for differences in body mass index (BMI) and potential interactions between BMI and genetic variants. We applied a joint meta-analysis approach to test associations with fasting insulin and glucose on a genome-wide scale. We present six previously unknown loci associated with fasting insulin at P < 5 x 10(-8) in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals. Risk variants were associated with higher triglyceride and lower high-density lipoprotein (HDL) cholesterol levels, suggesting a role for these loci in insulin resistance pathways. The discovery of these loci will aid further characterization of the role of insulin resistance in T2D pathophysiology.

Published
2012
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5. Genetic Effects on Postprandial Variations of Inflammatory Markers in Healthy Individuals

Author

Yu-Ching Cheng, Robert A. Vogel, Toni I. Pollin, Braxton D. Mitchell, Kathleen A. Ryan, A. Richey Sharrett, Wen Hong L. Kao, and Alan R. Shuldiner

Subjects
Adult, Male, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, Interleukin-1beta, Medicine (miscellaneous), Inflammation, Article, Leukocyte Count, Basal (phylogenetics), Endocrinology, Reference Values, Risk Factors, Internal medicine, White blood cell, Genetic variation, medicine, Humans, Additive genetic effects, Meal, Nutrition and Dietetics, Anthropometry, biology, business.industry, C-reactive protein, Genetic Variation, Middle Aged, Postprandial Period, Dietary Fats, C-Reactive Protein, Postprandial, medicine.anatomical_structure, Matrix Metalloproteinase 9, Protestantism, Cardiovascular Diseases, biology.protein, Female, Matrix Metalloproteinase 1, medicine.symptom, business, Biomarkers
Abstract

Circulating levels of inflammatory markers predict the risk of cardiovascular disease (CVD), mediated perhaps in part by dietary fat intake, through mechanisms only partially understood. To evaluate post-fat load changes in inflammatory markers and genetic influences on these changes, we administered a standardized high-fat meal to 838 related Amish subjects as part of the Heredity and Phenotype Intervention (HAPI) Heart Study and measured a panel of inflammatory markers, including C-reactive protein (CRP), interleukin-1beta (IL-1beta), matrix metalloproteinase-1 and -9 (MMP-1 and MMP-9), and white blood cell (WBC) count, before and 4 h after fat challenge (CRP prechallenge only). Heritabilities (h(2) +/- s.d.) of basal inflammatory levels ranged from 16 +/- 8% for MMP-9 (P = 0.02) to 90 +/- 7% for MMP-1 (P < 0.0001). Post-fat load, circulating levels of WBC, MMP-1, and MMP-9 increased by 16, 32, and 43% (all P < 0.0001), with no significant changes in IL-1beta. Postprandial changes over the 4-h period were modestly heritable for WBC (age- and sex-adjusted h(2) = 14 +/- 9%, P = 0.04), but the larger MMP-1 and MMP-9 changes appeared to be independent of additive genetic effects. These results reveal that a high-fat meal induces a considerable inflammatory response. Genetic factors appear to play a significant role influencing basal inflammatory levels but to have minimal influence on post-fat intake inflammatory changes.

Published
2010
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6. Cytomegalovirus Infection and the Risk of Mortality and Frailty in Older Women: A Prospective Observational Cohort Study

Author

Barbara Detrick, Wen Hong L. Kao, John F. McDyer, Linda P. Fried, Vincenzo Casolaro, Peter Murakami, Jeremy D. Walston, Roger B. Chiou, Qian Li Xue, Richard D. Semba, and George C. Wang

Subjects
medicine.medical_specialty, Epidemiology, Frail Elderly, Original Contributions, Cytomegalovirus, Antibodies, Viral, Cohort Studies, Risk Factors, Internal medicine, Confidence Intervals, Odds Ratio, Risk of mortality, Humans, Medicine, Prospective Studies, Risk factor, Prospective cohort study, Aged, Proportional Hazards Models, Inflammation, Interleukin-6, business.industry, Proportional hazards model, Incidence, Hazard ratio, Age Factors, Odds ratio, Cross-Sectional Studies, Logistic Models, Immunoglobulin G, Baltimore, Cytomegalovirus Infections, Multivariate Analysis, Immunology, Female, business, Cohort study
Abstract

Cytomegalovirus (CMV), a prevalent pathogen, causes severe disease in immunocompromised humans. However, present understanding is limited regarding the long-term clinical effect of persistent CMV infection in immunocompetent adults. The authors conducted a prospective observational cohort study (1992–2002) of 635 community-dwelling women in Baltimore, Maryland, aged 70–79 years in the Women's Health and Aging Studies to examine the effect of CMV infection on the risk of frailty, a common geriatric syndrome, and mortality in older women. The effect of baseline serum CMV antibody (immunoglobulin G) concentration on the risk of 3-year incident frailty, defined by using a 5-component measure, and 5-year mortality was examined with Cox proportional hazards models. Compared with those who were CMV seronegative, women in the highest quartile of CMV antibody concentration had a greater incidence of frailty (hazard ratio = 3.46, 95% confidence interval: 1.45, 8.27) and mortality (hazard ratio = 3.81, 95% confidence interval: 1.64, 8.83). After adjustment for potential confounders, CMV antibody concentration in the highest quartile independently increased the risk of 5-year mortality (hazard ratio = 2.79, 95% confidence interval: 1.22, 6.40). Better understanding of the long-term clinical consequences of CMV infection in immunocompetent humans is needed to guide public health efforts for this widely prevalent infection.

Published
2010
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7. Genome-Wide Association Scan Identifies Variants near Matrix Metalloproteinase ( MMP ) Genes on Chromosome 11q21–22 Strongly Associated With Serum MMP-1 Levels

Author

Quince Gibson, Kathleen A. Ryan, Patrick F. McArdle, Jeffrey R. O'Connell, Braxton D. Mitchell, Alan R. Shuldiner, Wen Hong L. Kao, Haiqing Shen, Yu-Ching Cheng, and Toni I. Pollin

Subjects
Adult, Male, Population, Single-nucleotide polymorphism, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Article, Sex Factors, Genetics, Humans, education, Gene, Genetics (clinical), Genetic association, education.field_of_study, Chromosomes, Human, Pair 11, Age Factors, Chromosome, Middle Aged, Heritability, Matrix Metalloproteinases, Minor allele frequency, Cardiovascular Diseases, Female, Matrix Metalloproteinase 1, Cardiology and Cardiovascular Medicine, Genome-Wide Association Study
Abstract

Background— Matrix metalloproteinase (MMP)-1 may play a role in cardiovascular disease susceptibility by influencing plaque rupture via its ability to degrade extracellular collagens. Methods and Results— We performed a genome-wide association analysis of circulating MMP-1 levels using 500 K single-nucleotide polymorphisms (SNPs) to identify genes influencing variation in serum MMP-1 levels in 778 healthy Amish adults. Serum MMP-1 levels, logarithm transformed, and adjusted for age and sex, were screened for association with SNPs using mixed-model variance components to account for familial relatedness. Median MMP-1 level was 3.05 ng/mL (interquartile range: 1.82 to 5.04 ng/mL) with an estimated heritability of 81% ( P P =5.73�10 −34 ), located within the region between MMP-1 and MMP-3 and having a minor allele frequency of 0.36. Two other SNPs within the 11q region, rs12289128 and rs11226373, were strongly associated with MMP-1 levels after accounting for rs495366 ( P ≤10 −7 ). These 3 SNPs explained 31% of the variance in MMP-1 levels after adjusting for age and sex. Conclusions— This study provides strong evidence that the serum MMP-1 level is highly heritable and that SNPs near MMPs on chromosome 11q explain a significant portion of the variation in MMP-1 levels. Identification of the genetic variants that influence MMP-1 levels may provide insights into genetic mechanisms of cardiovascular disease.

Published
2009
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8. Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci

Author

Laura J. Scott, Neil Robertson, Anders Hamsten, Domenico Palli, Susanne Moebus, Bernhard O. Boehm, Gunnar Sigurðsson, Paul W. Franks, C. N. A. Palmer, Sonali Pechlivanis, Katharine R. Owen, Michael E. Reschen, Sarah Edkins, Jason Carey, Christopher A. O’Callaghan, Norman Klopp, Caroline S. Fox, Petter Storm, N. William Rayner, Johan G. Eriksson, Thomas Illig, Anubha Mahajan, Erik Ingelsson, Allan Linneberg, Andrew R. Wood, Oddgeir L. Holmen, Nicola L. Beer, Mark I. McCarthy, Frank B. Hu, Peter Almgren, Heiner Boeing, Peter Donnelly, Carl Platou, Veikko Salomaa, Karl-Heinz Jöcke, Wen-Hong L. Kao, Lori L. Bonnycastle, Denis Rybin, Benjamin F. Voight, Peter Kraft, Inês Barroso, Claudia Langenberg, Teresa Ferreira, Peter Kovacs, Anne Raimondo, Christian Theil Have, Ulf de Faire, Torben Hansen, Han Chen, James B. Meigs, Timothy M. Frayling, Noël P. Burtt, Gerald Steinbach, Eric Boerwinkle, Michael Stumvoll, Stefan Gustafsson, Lars Lind, Andrew D. Morris, Alena Stančáková, Panagiotis Deloukas, Kari Stefansson, Augustine Kong, Hans A. Kestler, Andrew T. Hattersley, Beverley Balkau, Lorenzo Pasquali, Yingchang Lu, Nicola D. Kerrison, George B. Grant, Eeva Korpi-Hyövälti, Steven Wiltshire, Karl Gertow, Jorge Ferrer, Barbara Thorand, Inga Prokopenko, Matthias Blüher, Yvonne T. van der Schouw, Olga McLeod, Oluf Pedersen, Leena Peltonen, Anil Chalisey, Eleftheria Zeggini, Joseph Trakalo, Eric J.G. Sijbrands, Rainer Rauramaa, Guillaume Charpentier, Satu Männistö, Cordelia Langford, Lewin Eisele, Damiano Baldassarre, Lennart C. Karssen, Rona J. Strawbridge, Ghazala Mirza, Peter S. Chines, Roman Wennauer, Sara M. Willems, Erwin P. Bottinger, Timo Saaristo, Stéphane Cauchi, Ching-Ti Liu, Martijn van de Bunt, Valgerdur Steinthorsdottir, David Altshuler, Hyun Min Kang, Michael Boehnke, Jaakko Tuomilehto, Peter M. Nilsson, Kyle J. 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Boston, MA USA [ 164 ] Univ Liverpool, Dept Biostat, Liverpool L69 3BX, Merseyside, England [ 165 ] Univ Liverpool, Dept Mol & Clin Pharmacol, Liverpool L69 3BX, Merseyside, England, Luan, Jian'an [0000-0003-3137-6337], Perry, John [0000-0001-6483-3771], Barroso, Ines [0000-0001-5800-4520], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], and Apollo - University of Cambridge Repository

Subjects
endocrine system diseases, Medizin, Genome-wide association study, Glucose homeostasis, WIDE ASSOCIATION, Association mapping, Non-U.S. Gov't, Genome-Wide Association Study, Regulation of gene expression, Genetics, Genetics & Heredity, LARGE-SCALE ASSOCIATION, Research Support, Non-U.S. Gov't, COMMON VARIANTS, Chromosome Mapping, 11 Medical And Health Sciences, Genomics, 3. Good health, TRANSCRIPTION FACTORS, Liver, Hepatocyte Nuclear Factor 3-beta, Medical Genetics, Life Sciences & Biomedicine, Chromatin Immunoprecipitation, endocrine system, European Continental Ancestry Group/genetics, Biology, GENOTYPE IMPUTATION, Research Support, INSULIN-SECRETION, Polymorphism, Single Nucleotide, Article, N.I.H, Sykursýki, Islets of Langerhans, SDG 3 - Good Health and Well-being, Research Support, N.I.H., Extramural, HUMAN PANCREATIC-ISLETS, GLYCEMIC TRAITS, Journal Article, SNP, Humans, Genetic Predisposition to Disease, Comparative Study, Enhancer, Medicinsk genetik, Science & Technology, Binding Sites, DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Receptor, Melatonin, MT2, Extramural, Molecular Sequence Annotation, Arfgengi, 06 Biological Sciences, Genetic Predisposition to Disease/genetics, BETA-CELL, Diabetes Mellitus, Type 2/genetics, Diabetes Mellitus, Type 2, Gene Expression Regulation, Genetic Loci, Case-Control Studies, Gene-Environment Interaction, GLUCOSE-HOMEOSTASIS, Chromatin immunoprecipitation, Developmental Biology
Abstract

To access publisher's full text version of this article click on the hyperlink at the bottom of the page We performed fine mapping of 39 established type 2 diabetes (T2D) loci in 27,206 cases and 57,574 controls of European ancestry. We identified 49 distinct association signals at these loci, including five mapping in or near KCNQ1. 'Credible sets' of the variants most likely to drive each distinct signal mapped predominantly to noncoding sequence, implying that association with T2D is mediated through gene regulation. Credible set variants were enriched for overlap with FOXA2 chromatin immunoprecipitation binding sites in human islet and liver cells, including at MTNR1B, where fine mapping implicated rs10830963 as driving T2D association. We confirmed that the T2D risk allele for this SNP increases FOXA2-bound enhancer activity in islet- and liver-derived cells. We observed allele-specific differences in NEUROD1 binding in islet-derived cells, consistent with evidence that the T2D risk allele increases islet MTNR1B expression. Our study demonstrates how integration of genetic and genomic information can define molecular mechanisms through which variants underlying association signals exert their effects on disease. cademy of Finland 77299 102318 10493 118065 123885 124243 129293 129680 136895 139635 211119 213506 251217 263836 Agence National de la Recherche Association de Langue Francaise pour l'Etude du Diabete et des Maladies Metaboliques Association Diabeete Risque Vasculaire Association Francaise des Diabetiques Association of Danish Pharmacies Augustinus Foundation Becket Foundation British Diabetes Association (BDA) Research British Heart Foundation Central Norway Health Authority Central Finland Hospital District Center for Inherited Disease Research (CIDR) City of Kuopio City of Leutkirch Copenhagen County Danish Centre for Evaluation and Health Technology Assessment Danish Council for Independent Research Danish Heart Foundation Danish Research Councils Deutsche Forschungsgemeinschaft ER 155/6-2 Diabetes Research Foundation Diabetes UK Doris Duke Charitable Foundation Erasmus Medical Center Erasmus University Estonian government SF0180142s08 European Commission ENGAGE HEALTH-F4-2007-201413 FP7-201413 FP7-245536 EXGENESIS LSHM-CT-2004-005272 FP6 LSHM_CT_2006_037197 LSHM-CT-2007-037273 C-Public Health 2004310 European Regional Development Fund Federal Ministry of Education and Research, Germany FKZ 01GI1128 FKZ 01EO1001 Federal Ministry of Health, Germany Finnish Diabetes Association Finnish Diabetes Research Foundation Finnish Foundation for Cardiovascular Research Finnish Medical Society Folkhalsan Research Foundation Foundation for Life and Health in Finland Foundation for Old Servants Fredrick och Ingrid Thuring Foundation French region of Nord-Pas-de-Calais (Contrat de Projets Etat-Region) German Center for Diabetes Research German Research Council GRK1041 German National Genome Research Network Groupe d'Etude des Maladies Metaboliques et Systemiques Health Care Centers in Vasa, Narpes and Korsholm, Finland Health Foundation Heinz Nixdorf Foundation Helmholtz Zentrum Munchen Helsinki University Central Hospital Research Foundation Hospital District of Southwest Finland Ib Henriksens Foundation IngaBritt and Arne Lundberg's Research Foundation 359 Karolinska Institutet Knut and Alice Wallenberg Foundation KAW 2009.0243 Kuopio University Hospital Lundbeck Foundation Magnus Bergvall Foundation Medical Faculty of University Duisburg-Essen Medical Research Council, UK G0000649 G0601261 Ministry for Health, Welfare and Sports, the Netherlands Ministry of Education and Culture, Finland 722 627 Ministry of Education, Culture and Science, the Netherlands Ministry of Health and Prevention, Denmark Ministry of Social Affairs and Health, Finland Ministry of Innovation, Science, Research and Technology of North Rhine-Westphalia, Germany Munich Center of Health Sciences Municipal Health Care Center and Hospital in Jakobstad, Finland municipality of Rotterdam, the Netherlands Narpes Health Care Foundation National Health Screening Service of Norway National Heart, Lung, and Blood Institute, USA HHSN268201100005C HHSN268201100006C HHSN268201100007C HHSN268201100008C HHSN268201100009C HHSN268201100010C HHSN268201100011C HHSN268201100012C N01HC25195 N02HL64278 R01HL087641 R01HL59367 R01HL086694 National Human Genome Research Institute, USA U01HG004402 N01HG65403 National Institute for Diabetes and Digestive and Kidney Diseases, USA R01DK078616 U01DK085526 K24DK080140 R01DK073490 National Institute for Health and Welfare, Finland National Institutes of Health, USA HHSN268200625226C UL1RR025005 R01DK062370 R01DK072193 1Z01HG000024 AG028555 AG08724 AG04563 AG10175 AG08861 U01HG004399 DK58845 CA055075 DK085545 DK098032 Netherlands Genomics Initiative Netherlands Organisation for Health Research and Development Netherlands Organisation of Scientific Research NOW Investments 175.010.2005.011 911-03-012 050-060-810 Nord-Trondelag County Council Nordic Center of Excellence in Disease Genetics Norwegian Institute of Public Health Norwegian Research Council Novo Nordisk Foundation Ollquist Foundation Oxford National Institute for Health Research (NIHR) Biomedical Research Centre Paavo Nurmi Foundation Paivikki and Sakari Sohlberg Foundation Perklen Foundation Pirkanmaa Hospital District, Finland Programme Hospitalier de Recherche Clinique Programme National de Recherche sur la Diabete Research Institute for Diseases in the Elderly 014-93-015 Robert Dawson Evans Endowment, Department of Medicine, Boston University School of Medicine and Boston Medical Center Royal Swedish Academy of Sciences Sarstedt, Germany Signe and Ane Gyllenberg Foundation Sigrid Juselius Foundation Slottery Machine Association, Finland Social Insurance Institution of Finland South OstroBothnia Hospital District state of Baden-Wurttemberg, Germany Stockholm County Council 560183 Swedish Cultural Foundation, Finland Swedish Diabetes Foundation Swedish e-science Research Center Swedish Foundation for Strategic Research Swedish Heart-Lung Foundation Swedish Research Council SFO EXODIAB 2009-1039 521-2010-3490 521-2007-4037 521-2008-2974 ANDIS 825-2010-5983 LUDC 349-2008-6589 8691 Swedish Society of Medicine Tore Nilsson Foundation Torsten and Ragnar Soderbergs Stiftelser MT33/09 University Hospital Essen University of Tromso University College London NIHR Biomedical Research Centre UK NIHR Cambridge Biomedical Research Centre Uppsala University Uppsala University Hospital Vaasa Hospital District Velux Foundation Wellcome Trust GR072960 076113 083948 090367 090532 083270 086596 098017 095101 098051 098381

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2015
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9. Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

Author

Sarah Edkins, Anubha Mahajan, Nita G. Forouhi, Danish Saleheen, Lori L. Bonnycastle, Jackie F. Price, Lu Qi, Jasmina Kravic, Laura J. Scott, Susanne Moebus, Timothy M. Frayling, Stéphane Cauchi, Ching-Ti Liu, Michael Boehnke, Peter M. Nilsson, Lars Lind, James F. Wilson, John Beilby, Emil Rehnberg, Veikko Salomaa, Richard N. Bergman, Thomas Illig, Ruth J. F. Loos, Martina Müller-Nurasyid, Andrew Crenshaw, Karl-Heinz Jöckel, Krista Fischer, James B. Meigs, Rob M. van Dam, George Dedoussis, Christopher J. Groves, Julia Meyer, Valur Emilsson, Timo Saaristo, Kees Hovingh, Joseph Trakalo, Peter Kraft, André G. Uitterlinden, Valgerdur Steinthorsdottir, Cecilia M. Lindgren, Denis Rybin, Gonçalo R. Abecasis, Andrew T. Hattersley, Sonia Shah, Bruna Gigante, Jaakko Tuomilehto, Pierre Fontanillas, Kay-Tee Khaw, Annette Peters, Andrew D. Johnson, Rafn Benediktsson, Candace Guiducci, Andrew P. Morris, Tõnu Esko, Bo Isomaa, Anne U. Jackson, Beverley Balkau, Peter Donnelly, Thomas W. Mühleisen, Barbara Thorand, Tom Wilsgaard, Alan R. Shuldiner, David J. Hunter, Roman Wennauer, Karl Gertow, Wen Hong L. Kao, Alan James, Cordelia Langford, Christian Herder, Timo A. Lakka, Soumya Raychaudhuri, Jian'an Luan, Katharine R. Owen, Jennie Hui, Francis S. Collins, Juha Saltevo, David Couper, Bernhard O. Boehm, Sonali Pechlivanis, Raimund Erbel, Suthesh Sivapalaratnam, Markku Laakso, Augustine Kong, Heather M. Stringham, Leena Kinnunen, Kathleen Stirrups, Markus M. Nöthen, Ashok Kumar, Andrew R. Wood, Delilah Zabaneh, Rona J. Strawbridge, Bill Musk, Noël P. Burtt, Eeva Korpi-Hyövälti, Oddgeir L. Holmen, Inga Prokopenko, Marilyn C. Cornelis, Elodie Eury, Angela Silveira, Inês Barroso, Michael Roden, Unnur Thorsteinsdottir, Josée Dupuis, Han Chen, Cornelia M. van Duijn, Samuli Ripatti, Anna Jonsson, Gerald Steinbach, George B. Grant, Kristian Hveem, Andres Metspalu, Astradur B. Hreidarsson, Guillaume Charpentier, John Danesh, Claudia Langenberg, Sirkka Keinänen-Kiukaanniemi, Christian Dina, James S. Pankow, Panos Deloukas, Rainer Rauramaa, Satu Männistö, Kaarel Krjutškov, Eric Boerwinkle, Wendy Winckler, Valeriya Lyssenko, Anders Hamsten, Philippe Froguel, Nancy L. Pedersen, Harry Campbell, Sailaja Vedantam, Nicholas J. Wareham, Hassan Khan, Simon C. Potter, Damiano Baldassarre, Tiinamaija Tuomi, Vasiliki Lagou, Mozhgan Dorkhan, Stavroula Kanoni, Benjamin F. Voight, Wolfgang Rathmann, Tanya M. Teslovich, Antigone S. Dimas, Bengt Sennblad, Olle Melander, Albert Hofman, Mark I. McCarthy, Andrew D. Morris, Fabrizio Veglia, Karen L. Mohlke, Melissa Parkin, Sarah E. Hunt, Frank B. Hu, Elena Tremoli, Gudmar Thorleifsson, Steve E. Humphries, Jason Carey, Eero Lindholm, Alex S. F. Doney, Peter Almgren, Erik Ingelsson, Colin N. A. Palmer, Johanna Kuusisto, Inger Njølstad, Ann-Christine Syvänen, Leena Peltonen, Eric J.G. Sijbrands, Ross M. Fraser, Mieke D. Trip, Ghazala Mirza, Robert W. Lawrence, Neil Robertson, David Altshuler, Harald Grallert, Gunnar Sigurðsson, Kari Stefansson, N. William Rayner, Johan G. Eriksson, Christian Gieger, Emmi Tikkanen, Mustafa Atalay, S Wiltshire, Eleftheria Zeggini, Alena Stančáková, Loukianos S. Rallidis, Jouko Saramies, Stéphane Lobbens, Man Li, Hyun Min Kang, Loic Yengo, Norman Klopp, Ayellet V. Segrè, Carl G. P. Platou, Tom Forsén, Qi Sun, Karin Leander, Caroline S. Fox, Sekar Kathiresan, Jose C. Florez, Leif Groop, Teresa Ferreira, John R. B. Perry, Ulf de Faire, Peter S. Chines, Elizabeth J. Rossin, Vascular Medicine, ACS - Amsterdam Cardiovascular Sciences, Cardiology, Surgery, Dermatology, Epidemiology, and Internal Medicine

Subjects
Male, Linkage disequilibrium, Medizin, 030209 endocrinology & metabolism, Single-nucleotide polymorphism, Genome-wide association study, Type 2 diabetes, Biology, Polymorphism, Single Nucleotide, Article, Linkage Disequilibrium, 03 medical and health sciences, Sex Factors, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Genetics, medicine, Humans, Genetic Predisposition to Disease, Pakistan, Gene, 030304 developmental biology, Genetic association, 0303 health sciences, Case-control study, medicine.disease, Genetic architecture, 3. Good health, Diabetes Mellitus, Type 2, Genes, Evolutionary biology, Case-Control Studies, Female, Genome-Wide Association Study
Abstract

To extend understanding of the genetic architecture and molecular basis of type 2 diabetes (T2D), we conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent. We identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association. Genome-wide analyses of these data are consistent with a long tail of additional common variant loci explaining much of the variation in susceptibility to T2D. Exploration of the enlarged set of susceptibility loci implicates several processes, including CREBBP-related transcription, adipocytokine signaling and cell cycle regulation, in diabetes pathogenesis. © 2012 Nature America, Inc. All rights reserved.

Published
2012
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10. Association of eGFR-Related Loci Identified by GWAS with Incident CKD and ESRD

Author

Michael M. Hoffmann, Shih-Jen Hwang, David S. Siscovick, Mathias Gorski, Zoltán Kutalik, Josef Coresh, Neil R. Powe, Jacques S. Beckmann, Florian Kronenberg, Murielle Bochud, Iris M. Heid, Conall M. O'Seaghdha, Michael G. Shlipak, Rainer Rettig, Caroline S. Fox, Vera Krane, Jacqueline C.M. Witteman, Carsten A. Böger, Anna Köttgen, Bernhard Paulweber, Man Li, Guo Li, Wen Hong L. Kao, Stefan Coassin, Alexander Teumer, Bernhard K. Krämer, Abbas Dehghan, Eva Boes, André G. Uitterlinden, Qiong Yang, Margot Haun, Barbara Kollerits, Ravi Thadhani, Thomas Haak, Albert Hofman, Christoph Wanner, Chunmei Huang, Fernando Rivadeneira, H.-Erich Wichmann, Kim, Stuart K, CKDGen Consortium, Erasmus School of Social and Behavioural Sciences, Epidemiology, and Internal Medicine

Subjects
Oncology, Male, Cancer Research, Kidney Disease, Epidemiology, 030232 urology & nephrology, Genome-wide association study, Bioinformatics, urologic and male genital diseases, Kidney Failure, chemistry.chemical_compound, 0302 clinical medicine, Adaptor Proteins, Signal Transducing/genetics, Adult, Aged, Chronic Disease, Creatinine/blood, European Continental Ancestry Group/genetics, Female, Follow-Up Studies, Genetic Association Studies, Humans, Kidney Diseases/etiology, Kidney Diseases/genetics, Kidney Failure, Chronic/etiology, Kidney Failure, Chronic/genetics, Middle Aged, Polymorphism, Single Nucleotide, Receptor, Epidermal Growth Factor/genetics, Uromodulin/genetics, Chronic Kidney Disease, Clinical Epidemiology, Chronic, Genetics (clinical), 0303 health sciences, education.field_of_study, Adaptor Proteins, Single Nucleotide, female genital diseases and pregnancy complications, 3. Good health, ErbB Receptors, Nephrology, Genetic Epidemiology, Creatinine, Medicine, Kidney Diseases, Research Article, medicine.medical_specialty, lcsh:QH426-470, Population, European Continental Ancestry Group, Renal and urogenital, Single-nucleotide polymorphism, Biology, White People, End stage renal disease, 03 medical and health sciences, Clinical Research, Internal medicine, Uromodulin, medicine, Genome-Wide Association Studies, Genetics, ddc:610, Genetic Testing, Polymorphism, education, Molecular Biology, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Genetic association, Adaptor Proteins, Signal Transducing, Clinical Genetics, Whites, CKDGen Consortium, Case-control study, Personalized Medicine, Signal Transducing, Human Genetics, medicine.disease, lcsh:Genetics, Biomarker Epidemiology, chemistry, Genetics of Disease, Kidney Failure, Chronic, Dialysis, Kidney disease, Developmental Biology
Abstract

Family studies suggest a genetic component to the etiology of chronic kidney disease (CKD) and end stage renal disease (ESRD). Previously, we identified 16 loci for eGFR in genome-wide association studies, but the associations of these single nucleotide polymorphisms (SNPs) for incident CKD or ESRD are unknown. We thus investigated the association of these loci with incident CKD in 26,308 individuals of European ancestry free of CKD at baseline drawn from eight population-based cohorts followed for a median of 7.2 years (including 2,122 incident CKD cases defined as eGFR, Author Summary Chronic kidney disease (CKD) affects about 6%–11% of the general population, and progression to end stage renal disease (ESRD) has a significant public health impact. Family studies suggest that the risk for CKD and ESRD is heritable. Unraveling the genetic underpinning of risk for these diseases may lead to the identification of novel mechanisms and thus diagnostic and therapeutic tools. We have previously identified 16 genetic markers in association with kidney function and prevalent CKD in general population studies. However, little is known about the relevance of these SNPs to the initial development of CKD or to ESRD risk. Therefore, we have now analyzed the association of these markers with the initiation of CKD in more than 26,000 individuals from the general population using serial estimations of kidney function, and with ESRD in four case-control studies in subjects of European ancestry (3,775 cases, 4,577 controls). We show that many of the 16 markers are also associated or show a strong trend towards association with initiation of CKD, while only 2 markers are nominally associated with ESRD. Further work is required to characterize the association of genetic determinants of different stages of CKD progression.

Published
2011

11. New loci associated with kidney function and chronic kidney disease

Author

Susan Campbell, Mladen Boban, Sharon L.R. Kardia, Sandra Wilde, Abbas Dehghan, Christian Fuchsberger, Peter Kovacs, Renate B. Schnabel, Gary C. Curhan, Wolfgang Koenig, Wei Wang, Barbara Kollerits, Talin Haritunians, Evadnie Rampersaud, Philipp S. Wild, Yongmei Liu, Mary F. Feitosa, Sarah H. Wild, Ivana Kolcic, Matthias Olden, Medea Imboden, Tanja Zeller, Albert V. Smith, Stephen T. Turner, Igor Rudan, Thomas Münzel, Francesco Giallauria, Anna Köttgen, Uwe Völker, Elizabeth J. Atkinson, Christa Meisinger, Jeffrey Metter, Paul M. Ridker, Florian Kronenberg, Lyudmyla Kedenko, Anita Brandstätter, Dorothea Nitsch, Cornelia M. van Duijn, H.-Erich Wichmann, Michael A. Province, Alan F. Wright, Harry Campbell, Bruce M. Psaty, Man Li, Alex Parker, Toshiko Tanaka, Jeffrey R. O'Connel, Nicholas D. Hastie, James F. Wilson, Reinhold E. Schmidt, Peter P. Pramstaller, Karlhans Endlich, Frank B. Hu, Inga Prokopenko, Andrew D. Johnson, Sunita Badola, Ozren Polasek, Afshin Parsa, Nicole Probst-Hensch, Albert Hofman, Wilmar Igl, Thomas Lumley, Anke Tönjes, Cosetta Minelli, Ingrid B. Borecki, Marilyn C. Cornelis, Andrew B. Singleton, Michael G. Shlipak, Rainer Rettig, Stefan Blankenberg, Qiong Yang, Lina Zgaga, Thierry Rochat, Vilmundur Gudnason, Margherita Cavalieri, Yurii S. Aulchenko, Iris M. Heid, Thor Aspelund, Heyo K. Kroemer, Caroline Hayward, Tatijana Zemunik, Alan R. Shuldine, Veronique Vitart, Wen Hong L. Kao, Matthias Nauck, Ben A. Oostra, Helena Schmidt, Mariza de Andrade, Thomas Illig, Stefan Schreiber, Jacqueline C. M. Witteman, Alexander Teumer, Ulf Gyllensten, Eric Boerwinkle, Tennille S. Leak, Cristian Pattaro, Michael Stumvoll, David Ellinghaus, Ghazal Zaboli, Arne Schillert, Tamara B. Harris, Aaron Isaacs, Braxton D. Mitchel, Carsten A. Böger, Ian H. de Boer, Dan E. Arking, Kurt Lohman, Andre Franke, Fernando Rivadeneira, Gudny Eiriksdottir, Reedik Mägi, Xiaoyi Gao, Nicole L. Glazer, André G. Uitterlinden, Bernhard K. Krämer, Josef Coresh, Caroline S. Fox, Bernhard Paulweber, Norman Klopp, Andreas Ziegler, Janine F. Felix, Åsa Johansson, Daniel I. Chasman, Maksim Struchalin, David S. Siscovick, Guillaume Paré, Shamika Ketkar, Shih-Jen Hwang, Luigi Ferrucci, Henry Völzke, M. CarolaZillikens, Lenore J. Launer, Rochat, Thierry, Köttgen, Anna, Pattaro, Cristian, Böger, Carsten A., Fuchsberger, Christian, Olden, Matthia, Glazer, Nicole L., Parsa, Afshin, Gao, Xiaoyi, Yang, Qiong, Smith, Albert V., O'Connel, Jeffrey R., Li, Man, Schmidt, Helena, Tanaka, Toshiko, Isaacs, Aaron, Ketkar, Shamika, Hwang, Shih-Jen, Johnson, Andrew D., Dehghan, Abba, Teumer, Alexander, Paré, Guillaume, Atkinson, Elizabeth J., Zeller, Tanja, Lohman, Kurt, Cornelis, Marilyn C., Probst-Hensch, Nicole M., Kronenberg, Florian, Tönjes, Anke, Hayward, Caroline, Aspelund, Thor, Eiriksdottir, Gudny, Launer, Lenore J., Harris, Tamara B., Rampersaud, Evadnie, Mitchel, Braxton D., Arking, Dan E., Boerwinkle, Eric, Struchalin, Maksim, Cavalieri, Margherita, Singleton, Andrew, Giallauria, Francesco, Metter, Jeffrey, De Boer, Ian H., Haritunians, Talin, Lumley, Thoma, Siscovick, David, Psaty, Bruce M., Carolazillikens, M., Oostra, Ben A., Feitosa, Mary, Province, Michael, Andrade, Mariza De, Turner, Stephen T., Schillert, Arne, Ziegler, Andrea, Wild, Philipp S., Schnabel, Renate B., Wilde, Sandra, Munzel, Thomas F., Leak, Tennille S., Illig, Thoma, Klopp, Norman, Meisinger, Christa, Wichmann, H-Erich, Koenig, Wolfgang, Zgaga, Lina, Zemunik, Tatijana, Kolcic, Ivana, Minelli, Cosetta, Hu, Frank B., Johansson, Åsa, Igl, Wilmar, Zaboli, Ghazal, Wild, Sarah H., Wright, Alan F., Campbell, Harry, Ellinghaus, David, Schreiber, Stefan, Aulchenko, Yurii S., Felix, Janine F., Rivadeneira, Fernando, Uitterlinden, Andre G., Hofman, Albert, Imboden, Medea, Nitsch, Dorothea, Brandstätter, Anita, Kollerits, Barbara, Kedenko, Lyudmyla, Mägi, Reedik, Stumvoll, Michael, Kovacs, Peter, Boban, Mladen, Campbell, Susan, Endlich, Karlhan, Völzke, Henry, Kroemer, Heyo K., Nauck, Matthia, Völker, Uwe, Polasek, Ozren, Vitart, Veronique, Badola, Sunita, Parker, Alexander N., Ridker, Paul M., Kardia, Sharon L. R., Blankenberg, Stefan, Liu, Yongmei, Curhan, Gary C., Franke, Andre, Paulweber, Bernhard, Prokopenko, Inga, Wang, Wei, Gudnason, Vilmundur, Shuldine, Alan R., Coresh, Josef, Schmidt, Reinhold, Ferrucci, Luigi, Shlipak, Michael G., Van Duijn, Cornelia M., Borecki, Ingrid, Krämer, Bernhard K., Rudan, Igor, Gyllensten, Ulf, Wilson, James F., Witteman, Jacqueline C., Pramstaller, Peter P., Rettig, Rainer, Hastie, Nick, Chasman, Daniel I., Kao, W. H., Heid, Iris M., Fox, Caroline S., Epidemiology, Erasmus MC other, Internal Medicine, and Clinical Genetics

Subjects
medicine.medical_specialty, GENOME-WIDE ASSOCIATION, SERUM CREATININE, PROTEIN, GENE, MUTATIONS, VARIANTS, POPULATION, CANDIDATE, HOMOLOG, MEGALIN, Population, Renal function, Genome-wide association study, Biology, Kidney, urologic and male genital diseases, Cohort Studies, chemistry.chemical_compound, SDG 3 - Good Health and Well-being, Risk Factors, Internal medicine, Genetic Marker, medicine, Genetics, Humans, Cystatin C, education, Cystatin C/genetics, ddc:616, Genetic Markers/genetics, Creatinine, education.field_of_study, Models, Genetic, Risk Factor, chronic kidney disease, loci, SNP, Creatinine/blood, medicine.disease, Diet, Europe, Kidney/*physiology, Endocrinology, medicine.anatomical_structure, chemistry, Renal physiology, biology.protein, Kidney Failure, Chronic, Kidney Failure, Chronic/ethnology/*genetics, Cohort Studie, Kidney disease, Human, Genome-Wide Association Study, Glomerular Filtration Rate
Abstract

Chronic kidney disease (CKD) is a significant public health problem, and recent genetic studies have identified common CKD susceptibility variants. The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry from 20 predominantly population-based studies in order to identify new susceptibility loci for reduced renal function as estimated by serum creatinine (eGFRcrea), serum cystatin c (eGFRcys) and CKD (eGFRcrea 60 ml/min/1.73 m 2; n = 5,807 individuals with CKD (cases)). Follow-up of the 23 new genome-wide-significant loci (P 5 × 10 8) in 22,982 replication samples identified 13 new loci affecting renal function and CKD (in or near LASS2, GCKR, ALMS1, TFDP2, DAB2, SLC34A1, VEGFA, PRKAG2, PIP5K1B, ATXN2, DACH1, UBE2Q2 and SLC7A9) and 7 loci suspected to affect creatinine production and secretion (CPS1, SLC22A2, TMEM60, WDR37, SLC6A13, WDR72 and BCAS3). These results further our understanding of the biologic mechanisms of kidney function by identifying loci that potentially influence nephrogenesis, podocyte function, angiogenesis, solute transport and metabolic functions of the kidney. © 2010 Nature America, Inc. All rights reserved.

Published
2010
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12. Sequence Variation in IGF1R is Associated with Differences in Insulin Levels in Nondiabetic Old Order Amish

Author

Wen Hong L. Kao, Adam C. Naj, Jeffrey R. O'Connell, Kristi D. Silver, and Braxton D. Mitchell

Subjects
Adult, Male, medicine.medical_specialty, Candidate gene, Genetic Linkage, Endocrinology, Diabetes and Metabolism, medicine.medical_treatment, Statistics as Topic, Single-nucleotide polymorphism, Type 2 diabetes, Biology, Polymorphism, Single Nucleotide, Article, Christianity, Receptor, IGF Type 1, Cohort Studies, Endocrinology, Gene Frequency, Internal medicine, Genetic variation, Insulin Secretion, Internal Medicine, medicine, Humans, Insulin, Genetic Association Studies, Insulin-like growth factor 1 receptor, Chromosomes, Human, Pair 15, Haplotype, Glucose Tolerance Test, Middle Aged, Pennsylvania, medicine.disease, Pedigree, Haplotypes, Old Order Amish, Female
Abstract

Background Insulin growth factor-1 receptor (IGF1R) encodes the insulinlike growth factor 1 receptor, a transmembrane tyrosine kinase receptor located on chromosome 15q26.3, in a region of linkage (LOD = 2.53, P = 0.00032) to Insulin30 on an OGTT in the Old Order Amish. Mouse models with beta-cell-specific deficiency of IGF1R demonstrate defects in glucose-stimulated insulin secretion. Methods To test the hypothesis that genetic variation in IGF1R is associated with impaired insulin secretion, we genotyped 54 SNPs in 778 nondiabetic subjects from the AFDS who had undergone OGTTs and tested them for association with ln Insulin30 and ISI. Results No individual SNPs were significantly associated with ln Insulin30 or ISI using a multiple hypothesis testing adjusted P < 0.002. Tests of association of 4-SNP haplotypes constructed by a windowing approach revealed an association of the CTTG-variant of a 4-SNP haplotype found in intron 20 (rs1784195–rs2715439–rs8034284–rs12440962) with lower ISI levels (β = 0.18, SE(β) = 0.05, P = 0.001). Conclusions Sequence variation in IGF1R may influence insulin secretory function, although further studies in other populations will be needed to confirm these findings. Copyright  2009 John Wiley & Sons, Ltd.

Published
2009

13. Association of APOEpolymorphism with chronic kidney disease in a nationally representative sample: a Third National Health and Nutrition Examination Survey (NHANES III) Genetic Study

Author

Brad C. Astor, Audrey Y. Chu, Josef Coresh, Rulan S. Parekh, Alan R. Shuldiner, Yvette Berthier-Schaad, Michael W. Smith, and Wen Hong L. Kao

Subjects
Male, Apolipoprotein E, urologic and male genital diseases, 0302 clinical medicine, Gene Frequency, Odds Ratio, Medicine, Genetics(clinical), Prospective Studies, Genetics (clinical), reproductive and urinary physiology, 2. Zero hunger, Genetics, 0303 health sciences, education.field_of_study, Hispanic or Latino, Middle Aged, Nutrition Surveys, female genital diseases and pregnancy complications, 030220 oncology & carcinogenesis, Female, Research Article, Glomerular Filtration Rate, lcsh:Internal medicine, medicine.medical_specialty, Genotype, lcsh:QH426-470, National Health and Nutrition Examination Survey, Population, Renal function, Polymorphism, Single Nucleotide, White People, 03 medical and health sciences, Apolipoproteins E, Internal medicine, Humans, Genetic Predisposition to Disease, Renal Insufficiency, Chronic, lcsh:RC31-1245, education, Allele frequency, Alleles, 030304 developmental biology, Analysis of Variance, business.industry, urogenital system, Case-control study, Odds ratio, medicine.disease, United States, Black or African American, lcsh:Genetics, Case-Control Studies, business, Kidney disease
Abstract

Background Apolipoprotein E polymorphisms (APOE) have been associated with lowered glomerular filtration rate (GFR) and chronic kidney disease (CKD) with e2 allele conferring risk and e4 providing protection. However, few data are available in non-European ethnic groups or in a population-based cohort. Methods The authors analyzed 5,583 individuals from the Third National Health and Nutrition Examination Survey (NHANES III) to determine association with estimated GFR by the Modification of Diet in Renal Disease (MDRD) equation and low-GFR cases. Low-GFR cases were defined as GFR 2; additionally, GFR was analyzed continuously. Results In univariate analysis, the e4 allele was negatively associated with low-GFR cases in non-Hispanic whites, odds ratio (OR): 0.76, 95% confidence interval (CI): 0.60, 0.97. In whites, there was a significant association between increasing APOE score (indicating greater number of e2 alleles) and higher prevalence of low-GFR cases (OR: 1.21, 95%CI: 1.01, 1.45). Analysis of continuous GFR in whites found the e4 allele was associated with higher levels of continuous GFR (β-coefficient: 2.57 ml/min/1.73 m2, 95%CI: 0.005, 5.14); in non-Hispanic blacks the e2 allele was associated with lower levels of continuous GFR (β-coefficient: -3.73 ml/min/1.73 m2, 95%CI: -6.61, -0.84). APOE e2 and e4 alleles were rare and not associated with low-GFR cases or continuous GFR in Mexican Americans. Conclusion In conclusion, the authors observed a weak association between the APOE e4 allele and low-GFR cases and continuous GFR in non-Hispanic whites, and the APOE e2 allele and continuous GFR in non-Hispanic blacks, but found no association with either measure of kidney function in Mexican Americans. Larger studies including multiethnic groups are needed to determine the significance of this association.

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14. Genome-wide association study for renal traits in the Framingham Heart and Atherosclerosis Risk in Communities Studies

Author

Wen Hong L. Kao, Daniel Levy, Caroline S. Fox, Martin G. Larson, Anna Köttgen, Shih-Jen Hwang, Josef Coresh, Qiong Yang, Brad C. Astor, Emelia J. Benjamin, and Eric Boerwinkle

Subjects
Oncology, Male, lcsh:Internal medicine, medicine.medical_specialty, lcsh:QH426-470, Genotype, Genome-wide association study, 030204 cardiovascular system & hematology, Bioinformatics, Polymorphism, Single Nucleotide, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Framingham Heart Study, Gene Frequency, Internal medicine, Genetic model, medicine, Genetics, Humans, Genetic Predisposition to Disease, Genetics(clinical), lcsh:RC31-1245, Allele frequency, Genetics (clinical), Alleles, 030304 developmental biology, Proportional Hazards Models, 0303 health sciences, Framingham Risk Score, biology, Genome, Human, Odds ratio, Middle Aged, medicine.disease, 3. Good health, lcsh:Genetics, Cystatin C, Cardiovascular Diseases, biology.protein, Kidney Failure, Chronic, Female, Kidney disease, Glomerular Filtration Rate, Research Article
Abstract

Background The Framingham Heart Study (FHS) recently obtained initial results from the first genome-wide association scan for renal traits. The study of 70,987 single nucleotide polymorphisms (SNPs) in 1,010 FHS participants provides a list of SNPs showing the strongest associations with renal traits which need to be verified in independent study samples. Methods Sixteen SNPs were selected for replication based on the most promising associations with chronic kidney disease (CKD), estimated glomerular filtration rate (eGFR), and serum cystatin C in FHS. These SNPs were genotyped in 15,747 participants of the Atherosclerosis in Communities (ARIC) Study and evaluated for association using multivariable adjusted regression analyses. Primary outcomes in ARIC were CKD and eGFR. Secondary prospective analyses were conducted for association with kidney disease progression using multivariable adjusted Cox proportional hazards regression. The definition of the outcomes, all covariates, and the use of an additive genetic model was consistent with the original analyses in FHS. Results The intronic SNP rs6495446 in the gene MTHFS was significantly associated with CKD among white ARIC participants at visit 4: the odds ratio per each C allele was 1.24 (95% CI 1.09–1.41, p = 0.001). Borderline significant associations of rs6495446 were observed with CKD at study visit 1 (p = 0.024), eGFR at study visits 1 (p = 0.073) and 4 (lower mean eGFR per C allele by 0.6 ml/min/1.73 m2, p = 0.043) and kidney disease progression (hazard ratio 1.13 per each C allele, 95% CI 1.00–1.26, p = 0.041). Another SNP, rs3779748 in EYA1, was significantly associated with CKD at ARIC visit 1 (odds ratio per each T allele 1.22, p = 0.01), but only with eGFR and cystatin C in FHS. Conclusion This genome-wide association study provides unbiased information implicating MTHFS as a candidate gene for kidney disease. Our findings highlight the importance of replication to identify common SNPs associated with renal traits.

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