Update README.md

Author: Will-Tyler

README.md

@@ -1,26 +1,3 @@
-HERE we are maintaining an newly improved stable version of SAIGE and SAIGE-GENE+. 
-Please find the https://saigegit.github.io/SAIGE-doc/ for documentation.
-
-
-SAIGE is an R package developed with Rcpp for genome-wide association tests in large-scale data sets and biobanks. The method
-
-- accounts for sample relatedness based on the generalized mixed models
-- allows for model fitting with either full or sparse genetic relationship matrix (GRM)
-- works for quantitative and binary traits
-- handles case-control imbalance of binary traits
-- computationally efficient for large data sets
-- performs single-variant association tests
-- provides effect size estimation through Firth's Bias-Reduced Logistic Regression
-- performs conditional association analysis
-
-SAIGE-GENE (now known as SAIGE-GENE+) are new method extension in the R package for testing rare variant in set-based tests.
-- performs BURDEN, SKAT, and SKAT-O tests
-- allows for tests on multiple minor allele frequencies cutoffs and functional annotations
-- allows for specifying weights for markers in the set-based tests
-- performs conditional analysis to identify associations independent from nearly GWAS signals
-
-
-The package takes genotype file input in the following formats
-- PLINK (bed, bim, fam), BGEN, VCF, BCF, SAV
-
+This fork of [SAIGE](https://github.com/saigegit/SAIGE) is a proof-of-concept that supports reading variant calling data stored in the [VCF Zarr](https://github.com/sgkit-dev/vcf-zarr-spec) format. The changes are merged in this [pull request](https://github.com/Will-Tyler/SAIGE-VCZ/pull/1). To learn more about VCF Zarr, see the [paper](https://doi.org/10.1101/2024.06.11.598241).
 
+SAIGE is an R package developed with Rcpp for genome-wide association tests in large-scale data sets and biobanks.