2019
DOI: 10.1038/s41588-019-0362-6
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Interrogation of human hematopoiesis at single-cell and single-variant resolution

Abstract: Widespread linkage disequilibrium and incomplete annotation of cell-to-cell state variation represent substantial challenges to elucidating mechanisms of trait-associated genetic variation. Here, we perform genetic fine-mapping for blood cell traits in the UK Biobank to identify putative causal variants. These variants are enriched in genes encoding for proteins in trait-relevant biological pathways and in accessible chromatin of hematopoietic progenitors. For regulatory variants, we explore patterns of develo… Show more

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Cited by 175 publications
(313 citation statements)
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References 73 publications
(97 reference statements)
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“…Only 39% of the 2,225 PIP>0.95 SNPs were also lead GWAS SNPs (defined as MAF>0.001 SNPs with P<5×10 -8 and no MAF>0.001 SNP with a smaller p-value within 1Mb) ( Supplementary Table 7), demonstrating the importance of using fine-mapped SNPs rather than lead GWAS SNPs for downstream analysis. 31% of the PIP>0.95 SNPs resided in coding regions and 22% were non-synonymous (broadly consistent with previous fine-mapping studies 8,12 ) (Supplementary Table 7). When restricting the analysis to 15 genetically uncorrelated traits (|rg|<0.2; Methods and Supplementary Tables 8-9) we identified 1,626 PIP>0.95 SNP-trait pairs spanning 1,496 unique SNPs, with a median distance of 9kb between a PIP>0.95 SNP and the nearest lead GWAS SNP for the same trait (Supplementary Table 7).…”
Section: Functionally Informed Fine-mapping Of 47 Complex Traits In Tsupporting
confidence: 87%
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“…Only 39% of the 2,225 PIP>0.95 SNPs were also lead GWAS SNPs (defined as MAF>0.001 SNPs with P<5×10 -8 and no MAF>0.001 SNP with a smaller p-value within 1Mb) ( Supplementary Table 7), demonstrating the importance of using fine-mapped SNPs rather than lead GWAS SNPs for downstream analysis. 31% of the PIP>0.95 SNPs resided in coding regions and 22% were non-synonymous (broadly consistent with previous fine-mapping studies 8,12 ) (Supplementary Table 7). When restricting the analysis to 15 genetically uncorrelated traits (|rg|<0.2; Methods and Supplementary Tables 8-9) we identified 1,626 PIP>0.95 SNP-trait pairs spanning 1,496 unique SNPs, with a median distance of 9kb between a PIP>0.95 SNP and the nearest lead GWAS SNP for the same trait (Supplementary Table 7).…”
Section: Functionally Informed Fine-mapping Of 47 Complex Traits In Tsupporting
confidence: 87%
“…Details of the PolyFun method are provided in the Methods section; we have released opensource software implementing PolyFun in conjunction with SuSiE 22 and FINEMAP 23 (see URLs). In all analyses in this manuscript, we applied PolyFun using summary LD information estimated directly from the target samples (both for running S-LDSC and for running SuSiE or FINEMAP), as previously recommended for fine-mapping methods 12,30 .…”
Section: (See Methods)mentioning
confidence: 99%
“…[6][7][8] In addition, common genetic variants in GFI1B have been associated with variation in platelet and other blood cell counts. 2,9 Notably, the C168F GFI1B variant identified in our patient has been recently found to segregate in an autosomal dominant manner in three unrelated families with mild to moderate macrothrombocytopenia, but without significant bruising or bleeding symptoms. 10,11 Comparison of affected and unaffected relatives within each family suggests that the C168F mutation is associated with a decrease in platelet counts without signs of -granule deficiency, in contrast to other GFI1B mutations that result in changes in platelet granules.…”
Section: The C168f Variant In Gfi1bmentioning
confidence: 57%
“…Given these findings, we decided to examine this variant within a large population‐based study, the UK Biobank . Within the UK Biobank, this variant has an allele frequency of 0.005487263 in individuals with South Asian ancestry.…”
Section: Resultsmentioning
confidence: 99%
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