
We performed exome-wide association analysis (ExWAS) of germline genetic variants identified from whole-exome sequencing (WES) to identify novel inherited genetic determinants of clonal haematopoiesis (CH). Here, we provide the summary statistics from ExWAS CH performed on Admixed Americans recruited to the Mexico City Prospective Study (MCPS), Europeans recruited to the United Kingdom Biobank (UKB), and cross-ancestry meta-analysis of Admixed Americans and Europeans. Analyses was performed with REGENIE software (Firth's logistic regression), Fisher's exact test, and METAL software (inverse variance-weighted average method to derive effect size and P-value method to derive P value), respectively. In version 1 of this repository, UKB variants (*_UKB.tsv) with minor allele frequency (MAF) 1% or more were uploaded. In version 2, this is now rectified so that rare variants with MAF of 0.1% or more were uploaded. This threshold now matches the MCPS (*_MCPS.tsv) and UKB-MCPS meta-analysis summary statistics (*_MCPS-UKB_meta-analysis.tsv)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
