Correct publication references, input guidance and output units

README.md

@@ -9,7 +9,7 @@ tags:
 
 # mccartneyalcohol
 
-Whole-blood DNAm LASSO score for alcohol consumption, trained in Generation Scotland on an age-, sex-, and ancestry-adjusted phenotype residual and evaluated out of sample in LBC1936.
+Whole-blood DNAm LASSO score trained on log(alcohol units per week + 1), residualized for age, sex and ten genetic principal components. The returned linear score remains on that adjusted natural-log scale; it is not an absolute exposure in physical units. Evaluated out of sample in LBC1936.
 
 Model weights retain the original authors' terms; the pyaging software license does not relicense them.
 

config.json

@@ -10,7 +10,7 @@
  "last_author": "Riccardo E. Marioni",
  "model_type": "LASSO regression",
  "n_features": 450,
- "notes": "Whole-blood DNAm LASSO score for alcohol consumption, trained in Generation Scotland on an age-, sex-, and ancestry-adjusted phenotype residual and evaluated out of sample in LBC1936.",
+ "notes": "Whole-blood DNAm LASSO score trained on log(alcohol units per week + 1), residualized for age, sex and ten genetic principal components. The returned linear score remains on that adjusted natural-log scale; it is not an absolute exposure in physical units. Evaluated out of sample in LBC1936.",
  "platform": [
   "Illumina EPIC"
  ],
@@ -27,7 +27,7 @@
   "alcohol consumption"
  ],
  "unit": [
-  "units per week"
+  "natural-log (units per week + 1)"
  ],
  "version": "0.5.7",
  "year": 2018

mccartneyalcohol.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d51bf41e35897a074487066e9f0e65310245ebea4f9fdd925b477e24b0758e0e
-size 19309
+oid sha256:96ab39fba26abeb345f667619bf7579ea004dd17e7a17f2f17335d5417824c2d
+size 19437