REAGENT or RESOURCE	SOURCE	IDENTIFIER
Deposited data
UK Biobank, including previously quantified liver fat and liver fat quantified via machine learning	17,80; this paper	https://www.ukbiobank.ac.uk/; df-22402
Liver fat common variant genome-wide association study summary statistics	This paper	https://www.ebi.ac.uk/gwas/ Study: GCST90029073
Liver fat previously quantified in Framingham Heart Study	81, 82, 83	https://www.ncbi.nlm.nih.gov/gap/; Dataset: pht005157.v3.p13
Liver fat previously quantified in Multi-Ethnic Study of Atherosclerosis	84,85	https://www.ncbi.nlm.nih.gov/gap/; Dataset: pht002104.v2.p3
Software and algorithms
BOLT-LMM version 2.3.4	26	https://alkesgroup.broadinstitute.org/BOLT-LMM/BOLT-LMM_manual.html
BOLT-REML in BOLT-LMM version 2.3.4	25	https://alkesgroup.broadinstitute.org/BOLT-LMM/BOLT-LMM_manual.html
R statistical software version 3.5	86	http://www.R-project.org/
Michigan Imputation Server version 1.1	87	http://imputationserver.sph.umich.edu/index.html
Liver fat machine learning algorithm architecture and weights	This paper	https://github.com/broadinstitute/ml4h (liver_fat_from_mri_ukb in model zoo)
PolyFun version 1.0.0	32	https://github.com/omerwe/polyfun
SuSiE version 0.9.53	88	https://stephenslab.github.io/susie-paper/
Ensembl Variant Effect Predictor (VEP) version 96	89	https://uswest.ensembl.org/info/docs/tools/vep/index.html
LOFTEE	57	https://uswest.ensembl.org/info/docs/tools/vep/index.html
Python 3	90	https://www.python.org/
tensorflow version 2.1	91	https://www.tensorflow.org/
ML4H version 0.0.1	92	https://github.com/broadinstitute/ml4h