نتایج جستجو برای: traits association

تعداد نتایج: 592560  

Journal: :journal of agricultural science and technology 0
s. sood indian council of agricultural research (icar), -vivekananda institute of hill agriculture, almora, uttarakhand, 263 601, india. r. k. khulbe indian council of agricultural research (icar), -vivekananda institute of hill agriculture, almora, uttarakhand, 263 601, india. l. kant indian council of agricultural research (icar), -vivekananda institute of hill agriculture, almora, uttarakhand, 263 601, india.

relationship between grain yield and its component traits can improve the efficiency of breeding programs by determining appropriate selection criteria. an investigation was carried out on barnyard millet (echinochloa spp.) global germplasm collection to investigate the association among yield components and their direct and indirect effects on the grain yield of barnyard millet. the experiment...

2017
Thomas R. Webb Jeanette Erdmann Kathleen E. Stirrups Nathan O. Stitziel Nicholas G.D. Masca Henning Jansen Stavroula Kanoni Christopher P. Nelson Paola G. Ferrario Inke R. König John D. Eicher Andrew D. Johnson Stephen E. Hamby Christer Betsholtz Arno Ruusalepp Oscar Franzén Eric E. Schadt Johan L.M. Björkegren Peter E. Weeke 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 Jochen Kruppa Anubha Mahajan Robert A. Scott Christina Willenborg Peter S. Braund Julian C. van Capelleveen Alex S.F. Doney Louise A. Donnelly Rosanna Asselta Pier A. Merlini Stefano Duga Nicola Marziliano Josh C. Denny Christian Shaffer Nour Eddine El-Mokhtari Andre Franke Stefanie Heilmann Christian Hengstenberg Per Hoffmann Oddgeir L. Holmen Kristian Hveem Jan-Håkan Jansson Karl-Heinz Jöckel Thorsten Kessler Jennifer Kriebel Karl L. Laugwitz Eirini Marouli Nicola Martinelli Mark I. McCarthy Natalie R. Van Zuydam Christa Meisinger Tõnu Esko Evelin Mihailov Stefan A. Escher Maris Alver Susanne Moebus Andrew D. Morris Jarma Virtamo Majid Nikpay Oliviero Olivieri Sylvie Provost Alaa AlQarawi Neil R. Robertson Karen O. Akinsansya Dermot F. Reilly Thomas F. Vogt Wu Yin Folkert W. Asselbergs Charles Kooperberg Rebecca D. Jackson Eli Stahl Martina Müller-Nurasyid Konstantin Strauch Tibor V. Varga Melanie Waldenberger Lingyao Zeng Rajiv Chowdhury Veikko Salomaa Ian Ford J. Wouter Jukema Philippe Amouyel Jukka Kontto Børge G. Nordestgaard Jean Ferrières Danish Saleheen Naveed Sattar Praveen Surendran Aline Wagner Robin Young Joanna M.M. 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 N.A. Palmer Annette Peters Daniel J. Rader Muredach P. Reilly Ruth J.F. Loos Alex P. Reiner Dan M. Roden Jean-Claude Tardif John R. Thompson Nicholas J. Wareham Hugh Watkins Cristen J. Willer Nilesh J. Samani Heribert Schunkert Panos Deloukas Sekar Kathiresan

BACKGROUND Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseases or traits. OBJECTIVES This study sought to systematically test if genetic variants identified for non-CAD diseases/traits also associate with CAD and to undertake a comprehensive an...

A. Fathoni A.P.Z.N.L. Sari D. Maharani, I.G.S. Budisatria S. Sumadi

Melanocortin-4 receptor (MC4R) gene has been known as a candidate gene for growth traits in livestock. This research was aimed to identify the polymorphism of MC4R gene and its association with growth traits in Sumba Ongole (SO) cattle. The growth traits data consist of body weight and body size. Eighty four blood samples were collected and used for DNA isolation. The...

2013
Jihye Kim Ji-sun Kwon Sangsoo Kim

Gene set analysis is a powerful tool for interpreting a genome-wide association study result and is gaining popularity these days. Comparison of the gene sets obtained for a variety of traits measured from a single genetic epidemiology dataset may give insights into the biological mechanisms underlying these traits. Based on the previously published single nucleotide polymorphism (SNP) genotype...

Journal: :Journal of Investigative Dermatology Symposium Proceedings 2003

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