Suppr超能文献

Genetic epidemiological approaches to the study of lung disease.

作者信息

Rybicki Benjamin A

机构信息

Department of Biostatistics and Research Epidemiology, Henry Ford Health System, Detroit, Michigan 48202, USA.

出版信息

Semin Respir Crit Care Med. 2003 Apr;24(2):137-50. doi: 10.1055/s-2003-39029.

Abstract

The DNA sequence data provided by the Human Genome Project offer great promise in the prevention and treatment of lung disease in the new millennium. Making sense of these data with regard to how they relate to disease susceptibility and progression will require new and innovative genetic epidemiological approaches. Although tried and true methodologies such as case-control comparisons are still useful, a better understanding of genotype-phenotype relationships in lung disease can be gained by comparisons across similar diseases, such as the HLA-DPB1 associations observed in both berylliosis and sarcoidosis. Study of gene-environment and gene-gene interactions in lung disease is critical to the understanding of pathogenic processes in the lung such as localized inflammation and malignant transformation. Oligonucleotide microarray studies of gene expression in the lung are well under way and promise to uncover numerous previously unknown genetic factors involved in lung pathogenesis. One of the greatest challenges facing genetic epidemiologists studying lung disease in the new millennium will be how to translate the myriad results from microarray and similar data-driven technologies into information useful to the medicine practiced in pulmonary clinics.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验