@AJKDonline @Khairallah_P @ssfarouk @anna_burgner @Maximal_Change @kidney_boy @Nephro_Sparks “Big Data in Kidney Disease”: massive GWAS studies vs. single-cell studies ... effectively, a million genome arrays (https://t.co/6rdO13JIzP) vs. ~ a million ce…
A catalog of genetic loci associated with kidney function from analyses of a million individuals https://t.co/CQlWsQQlhI #DHPSP
@ivivek87 @minouye271 @clintomics @ProteinAtlas To test this, you could apply the CKD score to a case/control population with genotype data, provided none of the samples contributed to the Wuttke et al. 2019 GWAS (https://t.co/pk3uSL5Qhz; see Table S1).…
@cristenw Since my annotations are based on biochemistry and not on kidney function we'd expect the SNPs I annotated to be related to creatinine and not other kidney biomarkers. In https://t.co/AbYXH3UuMf they looked at exactly that, using blood urea n…