infer N from beta [SE or P] and reference panel MAF

[bulik]

probably better than using max N for studies that don't provide N???

(in munge_sumstats.py)

[bneale]

Makes sense. If frequency is supplied then this would capture the
imputation uncertainty too (although I'm not sure how often you get
frequency without N).

Best
Ben

On Monday, May 4, 2015, Brendan Bulik-Sullivan notifications@github.com
wrote:

probably better than using max N for studies that don't provide N???

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Benjamin Neale, Ph.D.
Assistant Professor
Analytic and Translational Genetics Unit
Massachusetts General Hospital
Institute Member
Stanley Center for Psychiatric Disease and Program in Medical and
Population Genetics
Broad Institute

[bulik]

almost never, but the idea here is to use reference panel (e.g., 1kG) MAF. not as good as getting true N directly, but probably better than setting N_j := max(N) as reported in the paper for all SNPs j