Imputing rare variants in families using a two-stage approach

被引:4
|
作者
Samantha Lent
Xuan Deng
L. Adrienne Cupples
Kathryn L. Lunetta
CT Liu
Yanhua Zhou
机构
[1] Boston University,Department of Biostatistics
关键词
Minor Allele Frequency; Rare Variant; Imputation Method; Reference Panel; Imputation Accuracy;
D O I
10.1186/s12919-016-0032-y
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Evaluating rare variants under two-stage design
    Li, Qizhai
    Pan, Dongdong
    Yue, Weihua
    Gao, Ying
    Yu, Kai
    JOURNAL OF HUMAN GENETICS, 2012, 57 (06) : 352 - 357
  • [2] Evaluating rare variants under two-stage design
    Qizhai Li
    Dongdong Pan
    Weihua Yue
    Ying Gao
    Kai Yu
    Journal of Human Genetics, 2012, 57 : 352 - 357
  • [3] Two-stage case–control designs for rare genetic variants
    Daniel J. Schaid
    Jason P. Sinnwell
    Human Genetics, 2010, 127 : 659 - 668
  • [4] Using two-stage approach to clustering
    Yue, Shihong
    Song, Kai
    Li, Yi
    2006 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY, VOLS 1-6, 2006, : 488 - +
  • [5] Two-stage case-control designs for rare genetic variants
    Schaid, Daniel J.
    Sinnwell, Jason P.
    HUMAN GENETICS, 2010, 127 (06) : 659 - 668
  • [6] Two-Stage Design of Sequencing Studies for Testing Association with Rare Variants
    Yang, Fan
    Thomas, Duncan C.
    HUMAN HEREDITY, 2011, 71 (04) : 209 - 220
  • [7] Detecting Circles Using a Two-Stage Approach
    Wen-Yen Wu
    JournalofElectronicScienceandTechnology, 2014, 12 (03) : 318 - 321
  • [8] Detecting Circles Using a Two-Stage Approach
    Wen-Yen Wu
    Journal of Electronic Science and Technology, 2014, (03) : 318 - 321
  • [9] A Two-stage Random Forest Approach to Identify Genetic Variants Using Recombination Hotspot Information
    Szymczak, Silke
    Li, Qing
    Kim, Yoonhee
    Dasgupta, Abhijit
    Malley, James D.
    Bailey-Wilson, Joan E.
    GENETIC EPIDEMIOLOGY, 2012, 36 (07) : 752 - 753
  • [10] Two-stage credit scoring using Bayesian approach
    Kyeong, Sunghyon
    Shin, Jinho
    JOURNAL OF BIG DATA, 2022, 9 (01)