有没有知道在做孟德尔随机化用TwoSampleMR的时候报错：The query to MR-Base exceeded 300 seconds and timed out. Please simplify the query 该怎么解决呀？
可能数据量太大，不要用MR-base的服务器做，fread读完数据再做
你好，请问你解决了 吗，我也遇到这个问题，在clump的时候
我也遇到了请问楼主解决了嘛
使用twosample mr进行clump时为什么没有服务啊？
neuro <- system.file('select_snp.csv',package = 'TwoSampleMR')
neuro_exp_dat<- read_exposure_data(
filename=neuro,
clump=T,
sep = ",",
snp_col = "SNP",
beta_col = "beta",
se_col = "se",
eaf_col = "EAF_UKB",
effect_allele_col = "A1",
other_allele_col = "A2",
pval_col = "P"
)
报错：
No phenotype name specified, defaulting to 'exposure'.
API: public: http://gwas-api.mrcieu.ac.uk/
Please look at vignettes for options on running this locally if you need to run many instances of this command.
Clumping zEFqI0, 7759 variants, using EUR population reference
Server code: 503; Server is possibly experiencing traffic, trying again...
Server code: 503; Server is possibly experiencing traffic, trying again...
Server code: 503; Server is possibly experiencing traffic, trying again...
Server code: 503; Server is possibly experiencing traffic, trying again...
Server code: 503; Server is possibly experiencing traffic, trying again...
Server code: 503; Server is possibly experiencing traffic, trying again...
Server error: 503
Failed to retrieve results from server. See error status message in the returned object and contact the developers if the problem persists.
No encoding supplied: defaulting to UTF-8.
Error in mtfrm.default(list(url = "http://gwas-api.mrcieu.ac.uk/ld/clump", :
cannot mtfrm