Open AccessGene expression elucidates functional impact of polygenic risk for schizophrenia
Author(s) -
Menachem Fromer,
Panos Roussos,
Solveig K. Sieberts,
Jessica S. Johnson,
David Kavanagh,
Thanneer M. Perumal,
Douglas M. Ruderfer,
Edwin C. Oh,
Aaron Topol,
Hardik Shah,
Lambertus Klei,
Robin S. S. Kramer,
Dalila Pinto,
Zeynep H. Gümüş,
A. Ercüment Çiçek,
Kristen K. Dang,
Andrew Browne,
Cong Liu,
Lei Xie,
Ben Readhead,
Eli A. Stahl,
Jianqiu Xiao,
Mahsa Parvizi,
Tymor Hamamsy,
John F. Fullard,
Ying-Chih Wang,
Milind Mahajan,
Jonathan M.J. Derry,
Joel T. Dudley,
Scott E. Hemby,
Benjamin A. Logsdon,
Konrad Talbot,
Towfique Raj,
David A. Bennett,
Philip L. De Jager,
Jun Zhu,
Bin Zhang,
Patrick F. Sullivan,
Andrew Chess,
Shaun Purcell,
Leslie A. Shinobu,
Lara M. Mangravite,
Hiroyoshi Toyoshiba,
Raquel E. Gur,
Chang-Gyu Hahn,
David A. Lewis,
Vahram Haroutunian,
Mette A. Peters,
Barbara K. Lipska,
Joseph D. Buxbaum,
Eric E. Schadt,
Keisuke Hirai,
Kathryn Roeder,
Kristen Brennand,
Nicholas Katsanis,
Enrico Domenici,
Bernie Devlin,
Pamela Sklar
Publication year - 2016
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/k6wj-s665
Subject(s) - polygenic risk score , schizophrenia (object oriented programming) , expression (computer science) , genetics , biology , gene , psychology , computational biology , psychiatry , single nucleotide polymorphism , computer science , genotype , programming language