For munging, I ran this:
python ldsc/mtag_munge.py \
--sumstats Nalls2019/nallsEtAl2019_clean.tsv \
--a1 A1 \
--a2 A2 \
--merge-alleles data/ldsc/w_hm3.snplist \
--keep-pval \
--p p \
--out Nalls2019/Nalls2019
Following munging, I get "weird" N (sample sizes). As an example, SNP rs6678176 has N "378755.399715", but my input summary statistics file looks like this before munging (from nallsEtAl2019_clean.tsv):
SNP A1 A2 freq b se p N_cases N_controls N_total
rs6678176 T C 0.290 0.0322 0.0245 0.188 26421 442271 468692
I'm curious why these Ns are so different. Is this something I should worry about?
For munging, I ran this: python ldsc/mtag_munge.py \ --sumstats Nalls2019/nallsEtAl2019_clean.tsv \ --a1 A1 \ --a2 A2 \ --merge-alleles data/ldsc/w_hm3.snplist \ --keep-pval \ --p p \ --out Nalls2019/Nalls2019
Following munging, I get "weird" N (sample sizes). As an example, SNP rs6678176 has N "378755.399715", but my input summary statistics file looks like this before munging (from nallsEtAl2019_clean.tsv):
SNP A1 A2 freq b se p N_cases N_controls N_total rs6678176 T C 0.290 0.0322 0.0245 0.188 26421 442271 468692
I'm curious why these Ns are so different. Is this something I should worry about?