位置：成果数据库 > 期刊 > 期刊详情页
On genome-wide association studies and their meta-analyses: lessons learned from osteoporosis studie
  • ISSN号：0021-972X
  • 期刊名称：Journal of Clinical Endocrinology & Metabolism
  • 时间：2013.7.1
  • 页码：1278-1282
  • 相关项目：稀有突变和复杂疾病遗传关联的贝叶斯方法的研究和应用
作者： Yong Jun Liu|Zhang, Lei|Yu-fang Pei|Christopher J Papasian|Hong-Wen Deng|
同期刊论文项目
稀有突变和复杂疾病遗传关联的贝叶斯方法的研究和应用
期刊论文 21
同项目期刊论文
Bivariate genome-wide association analyses identified genes with pleiotropic effects for femoral nec
Bivariate genome-wide association study suggests that the DARC gene influences lean body mass and ag
Genome-wide association study of copy number variation identified gremlin1 as a candidate gene for l
Genome-Wide Association Study of Copy Number Variants Suggests LTBP1 and FGD4 Are Important for Alco
FISH: fast and accurate diploid genotype imputation via segmental hidden Markov model
中国人群瘦体重与初潮年龄双变量全基因组关联研究
On individual genome-wide association studies and their meta-analysis
Meta-analysis of genome-wide association data identifies novel susceptibility loci for obesity
Testing Rare Variants for Association with Diseases: A Bayesian Marker Selection Approach
Multistage genome-wide association meta-analyses identified two new loci for bone mineral density
Genome-wide approaches for identifying genetic risk factors for osteoporosis
Genome-Wide Association Study Identified Copy Number Variants Important for Appendicular Lean Mass
Bivariate genome-wide association study suggests fatty acid desaturase genes and cadherin DCHS2 for
基于多层过滤的光度法微生物鉴定算法的研究
面向下一代测序技术的结构变异检测算法综述