Predicting educational achievement from genome-wide polygenic scores

被引:0
|
作者
von Stumm, S.
机构
关键词
D O I
暂无
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
引用
收藏
页数:1
相关论文
共 50 条
  • [21] Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations
    Amit V. Khera
    Mark Chaffin
    Krishna G. Aragam
    Mary E. Haas
    Carolina Roselli
    Seung Hoan Choi
    Pradeep Natarajan
    Eric S. Lander
    Steven A. Lubitz
    Patrick T. Ellinor
    Sekar Kathiresan
    [J]. Nature Genetics, 2018, 50 : 1219 - 1224
  • [22] Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores
    Adrian I. Campos
    Shinichi Namba
    Shu-Chin Lin
    Kisung Nam
    Julia Sidorenko
    Huanwei Wang
    Yoichiro Kamatani
    Ling-Hua Wang
    Seunggeun Lee
    Yen-Feng Lin
    Yen-Chen Anne Feng
    Yukinori Okada
    Peter M. Visscher
    Loic Yengo
    [J]. Nature Genetics, 2023, 55 : 1769 - 1776
  • [23] Cognitive Capacity Genome-Wide Polygenic Scores Identify Individuals with Slower Cognitive Decline in Aging
    Joo, Yoonjung Yoonie
    Cha, Jiook
    Freese, Jeremy
    Hayes, M. Geoffrey
    [J]. GENES, 2022, 13 (08)
  • [24] Genetic determinants of obesity in Korean populations: exploring genome-wide associations and polygenic risk scores
    Jo, Jinyeon
    Ha, Nayoung
    Ji, Yunmi
    Do, Ahra
    Seo, Je Hyun
    Oh, Bumjo
    Choi, Sungkyoung
    Choe, Eun Kyung
    Lee, Woojoo
    Son, Jang Won
    Won, Sungho
    [J]. BRIEFINGS IN BIOINFORMATICS, 2024, 25 (05)
  • [25] Getting the Most Out of Your Genome-Wide Association Study Using Polygenic Risk Scores
    Maggioncalda, Emily
    Snitkin, Evan
    [J]. JOURNAL OF CLINICAL MICROBIOLOGY, 2023, 61 (07)
  • [26] Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores
    Campos, Adrian I.
    Namba, Shinichi
    Lin, Shu-Chin
    Nam, Kisung
    Sidorenko, Julia
    Wang, Huanwei
    Kamatani, Yoichiro
    Wang, Ling-Hua
    Lee, Seunggeun
    Lin, Yen-Feng
    Feng, Yen-Chen Anne
    Okada, Yukinori
    Visscher, Peter M.
    Yengo, Loic
    [J]. NATURE GENETICS, 2023, 55 (10) : 1769 - +
  • [27] An Improved Genome-Wide Polygenic Score Model for Predicting the Risk of Type 2 Diabetes
    Liu, Wei
    Zhuang, Zhenhuang
    Wang, Wenxiu
    Huang, Tao
    Liu, Zhonghua
    [J]. FRONTIERS IN GENETICS, 2021, 12
  • [28] Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
    James J. Lee
    Robbee Wedow
    Aysu Okbay
    Edward Kong
    Omeed Maghzian
    Meghan Zacher
    Tuan Anh Nguyen-Viet
    Peter Bowers
    Julia Sidorenko
    Richard Karlsson Linnér
    Mark Alan Fontana
    Tushar Kundu
    Chanwook Lee
    Hui Li
    Ruoxi Li
    Rebecca Royer
    Pascal N. Timshel
    Raymond K. Walters
    Emily A. Willoughby
    Loïc Yengo
    Maris Alver
    Yanchun Bao
    David W. Clark
    Felix R. Day
    Nicholas A. Furlotte
    Peter K. Joshi
    Kathryn E. Kemper
    Aaron Kleinman
    Claudia Langenberg
    Reedik Mägi
    Joey W. Trampush
    Shefali Setia Verma
    Yang Wu
    Max Lam
    Jing Hua Zhao
    Zhili Zheng
    Jason D. Boardman
    Harry Campbell
    Jeremy Freese
    Kathleen Mullan Harris
    Caroline Hayward
    Pamela Herd
    Meena Kumari
    Todd Lencz
    Jian’an Luan
    Anil K. Malhotra
    Andres Metspalu
    Lili Milani
    Ken K. Ong
    John R. B. Perry
    [J]. Nature Genetics, 2018, 50 : 1112 - 1121
  • [29] Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
    Lee, James J.
    Wedow, Robbee
    Okbay, Aysu
    Kong, Edward
    Maghzian, Omeed
    Zacher, Meghan
    Tuan Anh Nguyen-Viet
    Bowers, Peter
    Sidorenko, Julia
    Linner, Richard Karlsson
    Fontana, Mark Alan
    Kundu, Tushar
    Lee, Chanwook
    Li, Hui
    Li, Ruoxi
    Royer, Rebecca
    Timshel, Pascal N.
    Walters, Raymond K.
    Willoughby, Emily A.
    Yengo, Loic
    Alver, Maris
    Bao, Yanchun
    Clark, David W.
    Day, Felix R.
    Furlotte, Nicholas A.
    Joshi, Peter K.
    Kemper, Kathryn E.
    Kleinman, Aaron
    Langenberg, Claudia
    Magi, Reedik
    Trampush, Joey W.
    Verma, Shefali Setia
    Wu, Yang
    Lam, Max
    Zhao, Jing Hua
    Zheng, Zhili
    Boardman, Jason D.
    Campbell, Harry
    Freese, Jeremy
    Harris, Kathleen Mullan
    Hayward, Caroline
    Herd, Pamela
    Kumari, Meena
    Lencz, Todd
    Luan, Jian'an
    Malhotra, Anil K.
    Metspalu, Andres
    Milani, Lili
    Ong, Ken K.
    Perry, John R. B.
    [J]. NATURE GENETICS, 2018, 50 (08) : 1112 - +
  • [30] Exploring the predictive power of polygenic scores derived from genome-wide association studies: a study of 10 complex traits
    So, Hon-Cheong
    Sham, Pak C.
    [J]. BIOINFORMATICS, 2017, 33 (06) : 886 - 892