Large-Scale Gene-Centric Meta-analysis across 32 Studies Identifies Multiple Lipid Loci
2012; Elsevier BV; Volume: 91; Issue: 5 Linguagem: Inglês
10.1016/j.ajhg.2012.08.032
ISSN1537-6605
AutoresFolkert W. Asselbergs, Yiran Guo, Erik P.A. van Iperen, Suthesh Sivapalaratnam, Vinicius Tragante, Matthew B. Lanktree, Leslie A. Lange, Berta Almoguera, Yolande Appelman, John Barnard, Jens Baumert, Amber L. Beitelshees, Tushar Bhangale, Yii‐Der Ida Chen, Tom R. Gaunt, Yan Gong, Jemma C. Hopewell, Toby Johnson, Marcus E. Kleber, Taimour Langaee, Mingyao Li, Leslie A. Lange, Kiang Liu, Caitrin W. McDonough, Matthijs F.L. Meijs, Rita P. S. Middelberg, Yan V. Sun, Christopher P. Nelson, Jeffery R. O’Connell, Sandosh Padmanabhan, James S. Pankow, Nathan Pankratz, Suzanne Rafelt, Ramakrishnan Rajagopalan, Simon P.R. Romaine, Nicholas J. Schork, Jonathan A. Shaffer, Haiqing Shen, Erin N. Smith, Sam E. Tischfield, Peter J. van der Most, Jana V. van Vliet‐Ostaptchouk, Niek Verweij, Kelly A. Volcik, Li Zhang, Kent R. Bailey, Kristian Bailey, Florianne Bauer, Jolanda M.A. Boer, Peter S. Braund, Amber Burt, Paul R. Burton, Sarah G. Buxbaum, Wei Chen, Rhonda M. Cooper‐DeHoff, L. Adrienne Cupples, J DEJONG, Christian Delles, David Duggan, Myriam Fornage, Clement E. Furlong, Nicole L. Glazer, John G. Gums, Claire E. Hastie, Michael V. Holmes, Thomas Illig, Susan Kirkland, Mika Kivimäki, Ronald Klein, Barbara E.K. Klein, Charles Kooperberg, Kandice Kottke‐Marchant, Meena Kumari, Andrea Z. LaCroix, Laya Mallela, Gurunathan Murugesan, José M. Ordovás, Willem H. Ouwehand, Wendy S. Post, Richa Saxena, Hubert Scharnagl, Pamela J. Schreiner, Tina Shah, Denis C. Shields, Daichi Shimbo, Sathanur R. Srinivasan, Ronald P. Stolk, Daniel I. Swerdlow, Herman A. Taylor, Eric J. Topol, Elina Toskala, L. Joost van Pelt, Jessica van Setten, Salim Yusuf, John C. Whittaker, Aeilko H. Zwinderman, Sonia S. Anand, Anthony J. Balmforth, Gerald S. Berenson, Connie R. Bezzina, Bernhard O. Boehm, Eric Boerwinkle, Juan P. Casas, Mark J. Caulfield, Robert Clarke, John Connell, Karen J. Cruickshanks, Karina W. Davidson, Ian N. M. Day, Paul I. W. de Bakker, Pieter A. Doevendans, Anna F. Dominiczak, Alistair S. Hall, Catharina A. Hartman, Christian Hengstenberg, Hans L. Hillege, Marten H. Hofker, Steve E. Humphries, Gail P. Jarvik, Julie A. Johnson, Bernhard M. Kaess, Sekar Kathiresan, Wolfgang Köenig, Debbie A. Lawlor, Winfried März, Olle Melander, Braxton D. Mitchell, Grant W. Montgomery, Patricia B. Munroe, Sarah S. Murray, Stephen Newhouse, N. Charlotte Onland‐Moret, Neil Poulter, Bruce M. Psaty, Susan Redline, Stephen S. Rich, Jerome I. Rotter, Heribert Schunkert, Peter Sever, Alan R. Shuldiner, Roy L. Silverstein, Alice Stanton, Barbara Thorand, Mieke D. Trip, Michael Y. Tsai, Pim van der Harst, C. Ellen van der Schoot, Yvonne T. van der Schouw, W. M. Monique Verschuren, Hugh Watkins, Arthur A.M. Wilde, Bruce H. R. Wolffenbuttel, John B. Whitfield, G. Kees Hovingh, Christie M. Ballantyne, Cisca Wijmenga, Muredach P. Reilly, Nicholas G. Martin, James G. Wilson, Daniel J. Rader, Nilesh J. Samani, Alex P. Reiner, Robert A. Hegele, John J.P. Kastelein, Aroon D. Hingorani, Philippa J. Talmud, Hákon Hákonarson, Clara C. Elbers, Brendan J. Keating, Fotios Drenos,
Tópico(s)Genetic and phenotypic traits in livestock
ResumoGenome-wide association studies (GWASs) have identified many SNPs underlying variations in plasma-lipid levels. We explore whether additional loci associated with plasma-lipid phenotypes, such as high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), and triglycerides (TGs), can be identified by a dense gene-centric approach. Our meta-analysis of 32 studies in 66,240 individuals of European ancestry was based on the custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) covering ∼2,000 candidate genes. SNP-lipid associations were replicated either in a cohort comprising an additional 24,736 samples or within the Global Lipid Genetic Consortium. We identified four, six, ten, and four unreported SNPs in established lipid genes for HDL-C, LDL-C, TC, and TGs, respectively. We also identified several lipid-related SNPs in previously unreported genes: DGAT2, HCAR2, GPIHBP1, PPARG, and FTO for HDL-C; SOCS3, APOH, SPTY2D1, BRCA2, and VLDLR for LDL-C; SOCS3, UGT1A1, BRCA2, UBE3B, FCGR2A, CHUK, and INSIG2 for TC; and SERPINF2, C4B, GCK, GATA4, INSR, and LPAL2 for TGs. The proportion of explained phenotypic variance in the subset of studies providing individual-level data was 9.9% for HDL-C, 9.5% for LDL-C, 10.3% for TC, and 8.0% for TGs. This large meta-analysis of lipid phenotypes with the use of a dense gene-centric approach identified multiple SNPs not previously described in established lipid genes and several previously unknown loci. The explained phenotypic variance from this approach was comparable to that from a meta-analysis of GWAS data, suggesting that a focused genotyping approach can further increase the understanding of heritability of plasma lipids.
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