Analysis of North American Rheumatoid Arthritis Consortium data using a penalized logistic regression approach

被引：0
|
作者：
Pascal Croiseau
Heather J Cordell
机构：
[1] Newcastle University,Institute of Human Genetics
[2] International Centre for Life,undefined
来源：
BMC Proceedings | / 3卷 / Suppl 7期
关键词：
Ridge Regression; Genetic Analysis Workshop; Group Lasso; North American Rheumatoid Arthritis Consortium; Lasso Estimator;
D O I：
10.1186/1753-6561-3-S7-S61
中图分类号：
学科分类号：
摘要：
We applied a penalized regression approach to single-nucleotide polymorphisms in regions on chromosomes 1, 6, and 9 of the North American Rheumatoid Arthritis Consortium data. Results were compared with a standard single-locus association test. Overall, the penalized regression approach did not appear to offer any advantage with respect to either detection or localization of disease-associated polymorphisms, compared with the single-locus approach.
引用
收藏
相关论文
共 50 条
  • [21] Integration of gene ontology pathways with North American Rheumatoid Arthritis Consortium genome-wide association data via linear modeling
    Jérémie JP Lebrec
    Tom WJ Huizinga
    René EM Toes
    Jeanine J Houwing-Duistermaat
    Hans C van Houwelingen
    BMC Proceedings, 3 (Suppl 7)
  • [22] Paths Following Algorithm for Penalized Logistic Regression Using SCAD and MCP
    Jiang, Wenhua
    Zhang, Cun-Hui
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2014, 43 (05) : 1064 - 1077
  • [23] A penalized regression approach for DNA copy number study using the sequencing data
    Lee, Jaeeun
    Chen, Jie
    STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY, 2019, 18 (04)
  • [24] Firth's penalized logistic regression: A superior approach for analysis of data from India's National Mental Health Survey, 2016
    Suhas, Satish
    Manjunatha, Narayana
    Kumar, Channaveerachari Naveen
    Benegal, Vivek
    Rao, Girish N.
    Varghese, Mathew
    Gururaj, Gopalkrishna
    INDIAN JOURNAL OF PSYCHIATRY, 2023, 65 (12) : 1208 - 1213
  • [25] Genome-wide association analysis by lasso penalized logistic regression
    Wu, Tong Tong
    Chen, Yi Fang
    Hastie, Trevor
    Sobel, Eric
    Lange, Kenneth
    BIOINFORMATICS, 2009, 25 (06) : 714 - 721
  • [26] Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes
    Yu, Ying
    Chen, Siyuan
    Jones, Samantha Jean
    Hoque, Rawnak
    Vishnyakova, Olga
    Brooks-Wilson, Angela
    McNeney, Brad
    HUMAN HEREDITY, 2022, 87 (3-4) : 69 - 86
  • [27] Inferential tools in penalized logistic regression for small and sparse data: A comparative study
    Siino, Marianna
    Fasola, Salvatore
    Muggeo, Vito M. R.
    STATISTICAL METHODS IN MEDICAL RESEARCH, 2018, 27 (05) : 1365 - 1375
  • [28] Genome-wide association studies using single-nucleotide polymorphisms versus haplotypes: an empirical comparison with data from the North American Rheumatoid Arthritis Consortium
    Heejung Shim
    Hyonho Chun
    Corinne D Engelman
    Bret A Payseur
    BMC Proceedings, 3 (Suppl 7)
  • [29] Principal-component-based population structure adjustment in the North American Rheumatoid Arthritis Consortium data: impact of single-nucleotide polymorphism set and analysis method
    Gina M Peloso
    Nadia Timofeev
    Kathryn L Lunetta
    BMC Proceedings, 3 (Suppl 7)
  • [30] Logistic regression in meta-analysis using aggregate data
    Chang, BH
    Lipsitz, S
    Waternaux, C
    JOURNAL OF APPLIED STATISTICS, 2000, 27 (04) : 411 - 424
12345