Genome-wide meta-analysis identifies novel maternal risk variants and enables polygenic prediction of preeclampsia and gestational hypertension
Michael C. Honigberg(Massachusetts General Hospital), Pradeep Natarajan(Unknown), Itsik Pe’er(Columbia University), Laxmi Bhatta(Norwegian University of Science and Technology), Satoshi Koyama(RIKEN Center for Integrative Medical Sciences), David A. van Heel(Queen Mary University of London), Rajat M. Gupta(Broad Institute), Mark Trinder(Broad Institute), Art Schuermans(Broad Institute), Richa Saxena(Broad Institute), Triin Laisk(Estonian Biocentre), Girish N. Nadkarni(Icahn School of Medicine at Mount Sinai), David M. Haas(Indiana University School of Medicine), Ha My T. Vy(Icahn School of Medicine at Mount Sinai), Brenda Xiao(University of Pennsylvania), Sarah Urbut(Massachusetts General Hospital), So Mi Jemma Cho(Broad Institute), Buu Truong(Harvard University), Hilary C. Martin(Wellcome Sanger Institute), Ron Do(Icahn School of Medicine at Mount Sinai), Rafael F. Guerrero(The University of Texas at Austin), Margaret Sunitha Selvaraj(Broad Institute), Aniruddh P. Patel(Howard Hughes Medical Institute), Ben Brumpton(Norwegian University of Science and Technology), Snehal Patil(University of Michigan), Mariah C. Antopia(The University of Texas at San Antonio), Sebastian Zöllner(University of Michigan), Qi Yan(Shanxi Medical University), Raiyan R. Khan(Columbia University), Shamsudheen Karuthedath Vellarikkal(Broad Institute), Shefali S. Verma(TiGenix (Spain)), Kathryn J. Gray(University of Washington)
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