Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease (vol 374, pg 1134, 2016)

Nathan O Stitziel,Kathleen Stirrups, Nicholas GD Masca,Jeanette Erdmann,Paola G Ferrario,Inke R Koenig,Peter E Weeke,Thomas R Webb,Paul L Auer,Ursula M Schick,Yingchang Lu,He Zhang,Marie-Pierre Dube,Anuj Goel,Martin Farrall,Gina M Peloso,Hong-Hee Won,Ron Do,Erik van Iperen,Stavroula Kanoni,Jochen Kruppa,Anubha Mahajan,Robert A Scott,Christina Willenborg,Peter S Braund,Julian C van Capelleveen,Alex SF Doney,Louise A Donnelly,Rosanna Asselta,Piera A Merlini,Stefano Duga,Nicola Marziliano,Josh C Denny,Christian M Shaffer, Nour Eddine El-Mokhtari,Andre Franke,Omri Gottesman,Stefanie Heilmann,Christian Hengstenberg,Per Hoffmann,Oddgeir L Holmen,Kristian Hveem,Jan-Hakan Jansson,Karl-Heinz Joeckel,Thorsten Kessler,Jennifer Kriebel,Karl L Laugwitz,Eirini Marouli,Nicola Martinelli,Mark I McCarthy,Natalie R Van Zuydam,Christa Meisinger,Tonu Esko,Evelin Mihailov, Stefan A Escher,Maris Alver,Susanne Moebus,Andrew D Morris,Martina Muller-Nurasyid,Majid Nikpay,Oliviero Olivieri,Louis-Philippe Lemieux Perreault,Alaa AlQarawi,Neil R Robertson,Karen O Akinsanya,Dermot F Reilly,Thomas F Vogt,Wu Yin,Folkert W Asselbergs,Charles Kooperberg,Rebecca D Jackson,Eli Stahl,Konstantin Strauch,Tibor V Varga,Melanie Waldenberger,Lingyao Zeng,Aldi T Kraja,Chunyu Liu,Georg B Ehret,Christopher Newton-Cheh,Daniel I Chasman,Rajiv Chowdhury,Marco Ferrario,Ian Ford,J Wouter Jukema,Frank Kee,Kari Kuulasmaa,Borge G Nordestgaard,Markus Perola,Danish Saleheen,Naveed Sattar,Praveen Surendran,David Tregouet,Robin Young,Joanna MM Howson,Adam S Butterworth,John Danesh,Diego Ardissino,Erwin P Bottinger,Raimund Erbel,Paul W Franks,Domenico Girelli,Alistair S Hall,G Kees Hovingh,Adnan Kastrati,Wolfgang Lieb,Thomas Meitinger,William E Kraus,Svati H Shah,Ruth McPherson,Marju Orho-Melander,Olle Melander,Andres Metspalu,Colin NA Palmer,Annette Peters,Daniel J Rader, Muredach P Reilly,Ruth JF Loos,Alex P Reiner,Dan M Roden,Jean-Claude Tardif,John R Thompson,Nicholas Wareham,Hugh Watkins,Cristen J Willer,Sekar Kathiresan,Panos Deloukas,Nilesh J Samani,Heribert Schunkert

NEW ENGLAND JOURNAL OF MEDICINE(2016)

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摘要
BACKGROUND The discovery of low-frequency coding variants affecting the risk of coronary artery disease has facilitated the identification of therapeutic targets. METHODS Through DNA genotyping, we tested 54,003 coding-sequence variants covering 13,715 human genes in up to 72,868 patients with coronary artery disease and 120,770 controls who did not have coronary artery disease. Through DNA sequencing, we studied the effects of loss-of-function mutations in selected genes. RESULTS We confirmed previously observed significant associations between coronary artery disease and low-frequency missense variants in the genes LPA and PCSK9. We also found significant associations between coronary artery disease and low-frequency missense variants in the genes SVEP1 (p.D2702G; minor-allele frequency, 3.60%; odds ratio for disease, 1.14; P=4.2×10−10) and ANGPTL4 (p.E40K; minor-allele frequency, 2.01%; odds ratio, 0.86; P=4.0×10−8), which encodes angiopoietin-like 4. Through sequencing of ANGPTL4, we identified 9 carriers of loss-of-function mutations among 6924 patients with myocardial infarction, as compared with 19 carriers among 6834 controls (odds ratio, 0.47; P=0.04); carriers of ANGPTL4 loss-of-function alleles had triglyceride levels that were 35% lower than the levels among persons who did not carry a loss-of-function allele (P=0.003). ANGPTL4 inhibits lipoprotein lipase; we therefore searched for mutations in LPL and identified a loss-of-function variant that was associated with an increased risk of coronary artery disease (p.D36N; minor-allele frequency, 1.9%; odds ratio, 1.13; P=2.0×10−4) and a gain-of …
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