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American Journal of Human Genetics logoLink to American Journal of Human Genetics
. 2016 Aug 2;99(2):481–488. doi: 10.1016/j.ajhg.2016.06.016

Whole-Exome Sequencing Identifies Loci Associated with Blood Cell Traits and Reveals a Role for Alternative GFI1B Splice Variants in Human Hematopoiesis

Linda M Polfus 1,38, Rajiv K Khajuria 2,3,4,38, Ursula M Schick 5,38, Nathan Pankratz 6, Raha Pazoki 7, Jennifer A Brody 8, Ming-Huei Chen 9, Paul L Auer 10, James S Floyd 8, Jie Huang 11, Leslie Lange 12, Frank JA van Rooij 7, Richard A Gibbs 13, Ginger Metcalf 13, Donna Muzny 13, Narayanan Veeraraghavan 13, Klaudia Walter 11, Lu Chen 11,14, Lisa Yanek 15, Lewis C Becker 15, Gina M Peloso 16, Aoi Wakabayashi 2,3, Mart Kals 17, Andres Metspalu 17, Tõnu Esko 17, Keolu Fox 18, Robert Wallace 19, Nora Franceshini 20, Nena Matijevic 21, Kenneth M Rice 8, Traci M Bartz 8, Leo-Pekka Lyytikäinen 22, Mika Kähönen 23, Terho Lehtimäki 22, Olli T Raitakari 24, Ruifang Li-Gao 25, Dennis O Mook-Kanamori 25,26, Guillaume Lettre 27, Cornelia M van Duijn 28, Oscar H Franco 7, Stephen S Rich 29, Fernando Rivadeneira 28, Albert Hofman 28, André G Uitterlinden 28, James G Wilson 30, Bruce M Psaty 8,31, Nicole Soranzo 11,14, Abbas Dehghan 7, Eric Boerwinkle 1, Xiaoling Zhang 32, Andrew D Johnson 33, Christopher J O’Donnell 34, Jill M Johnsen 35, Alexander P Reiner 36,39, Santhi K Ganesh 37,39, Vijay G Sankaran 2,3,39,
PMCID: PMC4974169  PMID: 27486782

Abstract

Circulating blood cell counts and indices are important indicators of hematopoietic function and a number of clinical parameters, such as blood oxygen-carrying capacity, inflammation, and hemostasis. By performing whole-exome sequence association analyses of hematologic quantitative traits in 15,459 community-dwelling individuals, followed by in silico replication in up to 52,024 independent samples, we identified two previously undescribed coding variants associated with lower platelet count: a common missense variant in CPS1 (rs1047891, MAF = 0.33, discovery + replication p = 6.38 × 10−10) and a rare synonymous variant in GFI1B (rs150813342, MAF = 0.009, discovery + replication p = 1.79 × 10−27). By performing CRISPR/Cas9 genome editing in hematopoietic cell lines and follow-up targeted knockdown experiments in primary human hematopoietic stem and progenitor cells, we demonstrate an alternative splicing mechanism by which the GFI1B rs150813342 variant suppresses formation of a GFI1B isoform that preferentially promotes megakaryocyte differentiation and platelet production. These results demonstrate how unbiased studies of natural variation in blood cell traits can provide insight into the regulation of human hematopoiesis.

Main Text

Human genetic studies have provided important insights into hematopoiesis. Genome-wide association studies (GWASs) performed in large, population-based samples have identified associations of genomic regions and common genetic (usually non-coding) variants with inter-individual differences in blood cell traits1, 2, 3, 4, 5, though the causal DNA variants and their functional mechanisms often remain elusive. Whole-exome and targeted sequencing approaches have been used to identify rare, sometimes private, loss (or gain)-of-function coding variants segregating within families with hematologic traits at the extremes of the phenotypic distribution6, 7, 8, 9, 10, 11, 12. As of yet, whole-exome sequencing has not been applied to large population-based cohorts well-phenotyped for hematologic traits to identify rare, functional variation with moderate-to-large phenotypic effects and to provide new biologic insight.

To this end, we performed exome sequencing in 15,459 unrelated European ancestry (EU) and African American (AA) individuals enrolled in six population-based cohort studies (see Supplemental Note). Replication of significant findings was performed in up to 52,024 additional samples via a combination of whole-exome-based or genome-based sequencing, genotyping, and imputation (Supplemental Note). Our a priori hypothesis was that systematic evaluation of coding variation detected by exome sequence analysis in samples unselected for blood cell traits would identify low-frequency variants influencing hematologic traits and could provide functional insights into hematopoiesis. We analyzed platelet count and 12 other blood cell traits (Table S1). The means of the traits were as expected in a sample of unselected healthy individuals from the population (Table S1). Association results from single-variant and from gene-based burden and sequence kernel association tests (SKATs) meeting our a priori significance thresholds in either EU, AA, or trans-ethnic discovery meta-analyses are summarized for both previously known and novel (which we define as those not reported in the available literature) loci in Table 1 and Tables S2–S5 and described further in the Supplemental Note. Lambda values showed no significant inflation (Table S6).

Table 1.

Single-Variant Association Findings

Trait Discovery Ethnicity Gene SNP Chromosome Position, rs Number, and Function Discovery p Value Replication p Value Discovery MAF Replication MAF Discovery Beta Coefficient (SE) Replication Z Scorea Discovery N Replication N
PLT EU + AA GFI1B chr9: 135864513, rs150813342, synonymous 2.64 × 10−8 5.71 × 10−21 0.008 0.007 −0.402 (0.07) −9.40 13,744 48,099b
PLT EU + AA CPS1 chr2: 211540507, rs1047891, missense 5.73 × 10−8 1.02 × 10−4 0.328 0.313 −0.07 (0.013) −3.89 13,744 48,394b
BASO EU + AA AGBL3 chr7: 134717656, rs9656446, synonymous 1.48 × 10−7 0.71 0.031c 0.002 0.271 (0.051) −0.05 (0.13) 6,877 6,699d

AA, African American individuals; BASO, basophil count; EU, European ancestry individuals; MAF, minor-allele frequency; PLT, platelet count.

a

Z score is reported from N-weighted replication meta-analyses, where more than one replication cohort was available; otherwise, beta coefficient and SE are reported.

b

UK10K project samples and imputed EU, Cardiovascular Health Study (CHS), and Atherosclerosis Risk in Communities (ARIC) study samples.

c

EU MAF = 0.001; AA MAF = 0.078; EU + AA MAF = 0.031.

d

UK10K project samples and imputed EU samples.

Four gene-based associations were discovered for red blood cell (RBC) traits (ACTN4, MMACHC, MYOM2, and MRPL43). Trans-ethnic discovery meta-analyses are summarized for both previously identified loci, which we verify in this study, and previously unreported loci. A summary of these findings, and driving variants, are provided in the Supplemental Note and Table S3. None of these gene-based SKAT or burden findings could be replicated in independent samples. Nonetheless, a few of the individual rare variants driving the gene-based associations in the discovery sample showed suggestive evidence of association in the replication sample (Supplemental Note and Table S3).

Among the three single-variant associations we identified (Table 1), two coding variants were associated with lower platelet count in our discovery sample: CPS1 rs1047891, a common missense variant encoding p.Thr1412Asn (EU + AA minor-allele frequency [MAF] = 0.33, EU + AA p = 5.7 × 10−8) and GFI1B rs150813342, a rare synonymous variant encoding p.Phe192 and located in alternatively spliced exon 5 (EU MAF = 0.009, EU p= 4.7 × 10−8; EU + AA MAF = 0.008, EU + AA p = 2.64 × 10−8). One single-nucleotide variant (SNV) result (rs9656446; EU + AA MAF = 0.03, EU + AA p = 1.48 × 10−7) associated with basophils in trans-ethnic analyses was in the ATP/GTP binding protein-like 3 (AGBL3) gene. However, the allele frequencies in the discovery sample differed by ethnicity (EU MAF = 0.001 and AA MAF = 0.08), and replication in samples of EU ethnicity from the UK10K project was not significant (EU p = 0.71). In our combined replication sample, we replicated the associations of CPS1 rs1047891 (EU + AA MAF = 0.328, EU + AA p = 1.02 × 10−4) and GFI1B rs150813342 (EU + AA p = 5.71 × 10−21) with lower platelet counts. In the combined discovery and replication samples, the p values for CPS1 rs1047891 and GFI1B rs150813342 were 6.38 × 10−10 and 1.79 × 10−27, respectively. A Manhattan plot for single-variant associations with platelet count and quantile-quantile (Q-Q) plots are shown in Figures S1–S3. Forest plots of the discovery cohorts for the two replicated findings (GFI1B rs150813342 and CPS1 rs1047891) are provided in Figures S4 and S5, as well as regional plots calculating linkage disequilibrium of SNVs in the gene with respect to index SNVs (Figures S6 and S7).

AGBL3 is a metallocarboxypeptidase involved in processing tubulins of the blood cell cytoskeleton. CPS1 encodes carbamoyl-phosphate synthase 1, a mitochondrial enzyme involved in the urea cycle. The CPS1 variant (or its LD proxies) has been associated with various cardiometabolic traits, including high-density lipoprotein (HDL) cholesterol, homocysteine, fibrinogen, serum metabolite levels, and kidney function.13, 14, 15, 16, 17 GFI1B is a known transcriptional repressor and a key regulator of platelet and red blood cell development. There was no evidence that either CPS1 rs1047891 or GFI1B rs150813342 were significantly associated with other hematologic traits assessed in the discovery sample (Tables S7A and S7B). Moreover, neither GFI1B rs150813342 nor CPS1 rs1047891 was associated with mean platelet volume, platelet aggregation, or expression of platelet surface markers, though these analyses were limited to much smaller numbers of individuals (Supplemental Note, Tables S8 and S10). However, a decrease in the median fluorescence intensity of large, platelet-marker positive (CD41+CD61+) events18 was detected by flow cytometry in GFI1B variant carriers even after adjustment for circulating platelet count (p < 0.0001), which could reflect a decrease in circulating platelet aggregates or a skewing of a platelet subpopulation with regards to platelet-surface-marker expression or size (see Supplemental Note).

We conducted bioinformatic and functional analyses to understand the impact of the GFI1B exon 5 synonymous variant and the CPS1 rs1047891 variant (p.Thr1412Asn) on gene and protein function. The CPS1 p.Thr1412Asn amino acid substitution is predicted to be benign and tolerated by SIFT and PolyPhen. Moreover, according to the GTEx Portal database, there is no evidence of an expression quantitative trait loci (eQTL) effect for rs1047891. Nonetheless, the CPS1 p.Thr1412Asn missense substitution is located within a region critical for N-acetyl-glutamate binding and has been reported to result in 20%–30% higher enzymatic activity19 and to influence vascular function.15

We initially assessed the association of rs150813342 with GFI1B expression by using Affymetrix GeneChip Human Exon 1.0 ST Array data on whole-blood RNA available from 881 Framingham Heart Study participants.20 There was no evidence for association of the rs150813342 genotype with expression of any GFI1B exon, though statistical power is likely limited by the low frequency of the rs150813342 variant allele, which was present in only 7 of the 881 individuals. According to SPANR,21 rs150813342 had a predicted effect on splicing (difference in the percentage of transcripts with the exon spliced in [dPSI] score of −4.6). rs150813342 was predicted to disrupt a putative exon splicing enhancer (ESE) in exon 5 that contains a consensus SRSF1 binding motif.22 To functionally evaluate the impact of this variant on GFI1B transcript splicing in a relevant cell type, we used CRISPR/Cas9 genome editing to create multiple independent isogenic K562 hematopoietic cell lines harboring the GFI1B synonymous single-nucleotide change (Figure 1A). These cell lines were homozygous for the variant and exhibited inclusion of less than 30% of exon 5 relative to other surrounding exons in the GFI1B mRNA (Figure 1B). Semi-quantitative RT-PCR showed that the presence of the synonymous variant resulted in reduced formation of the GFI1B isoform containing exon 5 (herein referred to as the long isoform), as well as preferential formation of the isoform lacking exon 5 (herein referred to as the short isoform) (Figures 1C and 1D). No other isoforms or intron inclusion events were detected (Figure 1C, Figure S8).

Figure 1.

Figure 1

The Variant rs150813342 Results in Reduced Formation of the Long GFI1B Isoform and Preferential Formation of the Short Isoform

(A) Chromatograms of the sequence surrounding the altered nucleotide in GFI1B exon 5 showing the wild-type (WT) sequence and sequences of isogenic hematopoietic K562 cell mutant clones (Mut 1, Mut 2, and Mut 3) harboring the C>T single-nucleotide variant (SNV) generated via CRISPR/Cas9 mediated homologous repair.

(B) qRT-PCR of GFI1B exons 4, 5, and 6 measured from isogenic control (Cont) and mutant K562 cell clones showing inclusion of less than 30% of GFI1B exon 5 relative to the surrounding exons in GFI1B mRNA from mutant clones (n = 3 per group). Error bars show SD.

(C) Semi-quantitative RT-PCR with GFI1B exon 4 forward and exon 6 reverse primers with progressively increasing cycle numbers (26, 28, and 30 cycles) demonstrates reduced formation of the long GFI1B isoform and preferential formation of the short isoform, as well as no other intermediate isoforms in the clones harboring the SNV.

(D) rs150813342 is predicted to disrupt a putative exon splicing enhancer (ESE) in exon 5 that contains a consensus SRSF1 binding motif. Disruption of this binding motif results in reduced inclusion of exon 5 and preferential formation of the short isoform. The promotion of alternative splicing by SRSF1 through the spliceosome complex is indicated by an arrow to a light blue circle. Forward (F) and reverse (R) PCR primers of the respective exon are indicated.

Although GFI1B has been implicated in both RBC and platelet production (erythropoiesis and megakaryopoiesis, respectively),23, 24, 25 only a role for the short isoform in erythroid cells has been suggested previously.26 We next assessed the effect of the altered splicing of GFI1B on lineage-specific hematopoietic differentiation. We chemically induced differentiation of the isogenic K562 cell lines with either hemin (to promote erythroid differentiation) or phorbol 12-myristate 13-acetate (PMA, to promote megakaryocytic differentiation) (Figure 2A). Although erythroid differentiation appeared to proceed normally, as assessed morphologically (Figure 2B), and with expression of the surface marker GYPA (CD235a) (Figure 2C) and terminal erythroid marker genes (Figure 2D), megakaryocyte differentiation appeared severely impaired; the cells retained an immature blast-like morphology and failed to upregulate the surface marker of megakaryocyte differentiation, CD41a (encoded by ITGA2B), and mRNAs whose expression is characteristic of terminal megakaryopoiesis (Figures 2B–2D, Figure S9). The megakaryocyte genes PPBP, SELP, and PF4 were downregulated by an average of 8.6-, 6.7-, and 41.1-fold, respectively, in the isogenic clones (p = 0.0001, 0.0013, and 0.0459, respectively) versus in the controls (Figure 2D). These results suggest that the long isoform of GFI1B is necessary for normal megakaryocyte differentiation.

Figure 2.

Figure 2

Impaired Megakaryopoiesis and Retained Erythropoiesis in K562 Cells Harboring the rs150813342 SNV in GFI1B Exon 5

(A) Scheme of phorbol 12-myristate 13-acetate (PMA)-induced megakaryocytic differentiation and hemin-induced erythroid differentiation of the hematopoietic K562 cell models.

(B) Representative May-Grünwald-Giemsa-stained cytospin images of 72 hr PMA-induced and 96 hr hemin-induced isogenic control and mutant clones showing megakaryocytic differentiation that appears severely impaired, with the cells retaining an immature blast-like morphology in the mutant clones, whereas the erythroid differentiation appears unaffected.

(C) Representative flow cytometry analysis of the megakaryocyte marker CD41a and the erythroid marker CD235a further confirmed the impaired megakaryopoiesis and the retained erythropoiesis as shown by the histogram plots with the mean fluorescence intensity (MFI) for each marker in unstained cells, control, and mutant clones, respectively.

(D) Gene expression analysis by qRT-PCR of the megakaryocyte markers PPBP, SELP, and PF4 after 72 hr of PMA-induced differentiation and of the erythroid markers ALAS2, RHCE, and KEL after 24 hr of hemin-induced differentiation (n = 3 per group). Error bars show SD.

To confirm a preferential role for this long GFI1B isoform in megakaryocyte differentiation, we identified two independent short hairpin RNAs (shRNAs) that specifically targeted GFI1B exon 5, which would thereby selectively downregulate the long but not the short isoform. We utilized lentiviral-mediated shRNA delivery in primary human adult mobilized peripheral-blood hematopoietic stem and progenitor cells (HSPCs), which are capable of differentiation toward the erythroid and megakaryocyte lineages under appropriate culture conditions.27 We observed a knockdown efficiency of the GFI1B long isoform by ∼50% for both shRNAs, whereas the short isoform levels increased conversely (Figures 3A and 3B), which resulted in a 1.5- to 1.8-fold reduction in the formation of CD41a+ megakaryocytic cells (relative to lineage-marker negative cells) in HSPCs undergoing differentiation (Figure 3C). In contrast, CD235a+ erythroid cells appeared to be present in comparable percentages and numbers (Figure 3C). Moreover, whereas numerous morphologically mature erythroblasts could be readily visualized in both groups, fewer mature megakaryocytic cells were seen with knockdown of the long isoform than in the controls (Figure 3D, Figure S10). Overall cell growth appeared comparable between the knockdown and control cells (Figure S10). These findings are in line with our exome-sequence association findings, in which no significant effect was seen on circulating RBC levels.

Figure 3.

Figure 3

The Long GFI1B Isoform is Critical for Megakaryopoiesis in a Human Primary Cell Model

(A) qRT-PCR of GFI1B exons 4, 5, and 6 on day 4 after infection showing the identification of two short hairpin RNAs (shRNAs) that specifically target GFI1B exon 5 and thereby selectively downregulate the long isoform by ∼50%, but not the short isoform (n = 3 per group). Error bars show SD.

(B) Semi-quantitative RT-PCR with GFI1B exon 4 forward and exon 6 reverse primers with progressively increasing cycle numbers (26, 28, and 30 cycles) demonstrates reduced formation of the long GFI1B isoform and increased formation of the short isoform, as well as no other intermediate isoforms in cells with targeted knockdown of GFI1B exon 5.

(C) Representative flow cytometry analysis of thrombopoietin (TPO)- and erythropoietin (EPO)-stimulated primary human hematopoietic stem and progenitor cells on day 11 of differentiation with assessment of CD41a+ megakaryocytic (Meg) cells and CD235a+ erythroid (Ery) cells.

(D) Representative May-Grünwald-Giemsa-stained cytospin images of megakaryocytic cells (from day 7 of differentiation) and erythroid cells (from day 13 of differentiation) showing immature megakaryocyte morphology in cells with knockdown of the long GFI1B isoform, in comparison with the control. In contrast, maturation of erythroblasts appears unaffected.

GFI1B private, loss-of-function mutations (nonsense, frameshift) in the DNA-binding fifth and sixth zinc (Zn)-finger domains have recently been identified in families with an autosomal-dominant form of Gray Platelet syndrome (GPS) or related forms of thrombocytopenia, which are characterized by dysmegakaryopoiesis, thrombocytopenia, large platelets, and platelet α-granule deficiency (MIM: 187900)28, 29. The truncating GFI1B mutations reported in GPS appear to have a dominant-negative effect and inhibit transcriptional activity of the GFI1B wild-type form. Our population study extends the allelic spectrum of naturally occurring GFI1B coding sequence variants associated with a lower circulating platelet count to include a more frequent, synonymous change that alters an exonic splicing enhancer, resulting in the skipping of exon 5, containing the first and second Zn-finger domains. Heterozygous carriers of the synonymous exon 5 variant in GFI1B have an average platelet count that is reduced by 25,000 to 30,000 platelets per microliter, which would be a clinically detectable effect. We also provide additional support for distinct roles of GFI1B long- and short-isoforms, which are differentially expressed at various stages of differentiation during normal hematopoiesis.23, 30 The long GFI1B isoform is expressed in HSPCs and lineage-committed myeloid, erythroid, and megakaryocytic progenitors. The abnormalities in megakaryocyte maturation with reduced formation of the GFI1B long isoform in the isogenic K562 cell clones containing the rs150813342 variant and in primary HSPCs with targeted suppression of the long isoform are consistent with an essential role for the GFI1B long isoform in megakaryopoiesis and platelet production. This finding is also congruent with prior work showing that the GFI1B short isoform is required for erythropoiesis26 and provides insight into how these different splice variants function in distinct aspects of human hematopoiesis.

In summary, whole-exome sequence association analysis performed in over 15,000 samples discovered SNVs associated with a lower platelet count in community-dwelling individuals, including a common variant in CPS1 and a rare, synonymous variant in GFI1B. Follow-up genome editing and targeted knockdown experiments identified a mechanism by which alternative splicing associated with the GFI1B rs150813342 variant allele suppresses formation of a specific GFI1B long isoform that is required for lineage-specific megakaryocyte differentiation, while being dispensable for erythropoiesis. Functional studies coupled with an association finding demonstrated a previously unappreciated splicing-based mechanism for lineage-specific blood cell production, providing important insights into human hematopoiesis. Genes regulated by the long GFI1B isoform could provide additional understanding of downstream transcriptional events and molecular pathways required for megakaryocyte specification and platelet production. These findings hold promise for the development of therapeutics for altering platelet count without adverse effects on other blood lineages. Further characterization of the role of GFI1B isoforms could have clinical or therapeutic implications for disorders of platelet and other blood cell production or function, as well as for the prospect of improving the manufacture of ex vivo cell therapies.31, 32, 33

Acknowledgments

The work described in this manuscript was supported in part by NIH grants HL122684 to S.K.G. and DK103794 and HL120791 to V.G.S. N.S. is supported by the Wellcome Trust (grant codes WT098051 and WT091310), the EU 7th Framework Programme (EPIGENESYS grant code 257082 and BLUEPRINT grant code HEALTH-F5-2011-282510) and the NIH Research (NIHR) Blood and Transplant Research Unit (BTRU) in Donor Health and Genomics at the University of Cambridge in partnership with NHS Blood and Transplant (NHSBT).

Published: August 4, 2016

Footnotes

Supplemental Data include a Supplemental Note, ten figures, nine tables, and Supplemental Acknowledgments and can be found with this article online at http://dx.doi.org/10.1016/j.ajhg.2016.06.016.

Web Resources:

Supplemental Data

Document S1. Supplemental Note, Figures S1–S10, and Supplemental Acknowledgments
mmc1.pdf (9.6MB, pdf)
Document S2. Tables S1–S9
mmc2.xlsx (331.5KB, xlsx)
Document S3. Article plus Supplemental Data
mmc3.pdf (10.5MB, pdf)

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Document S1. Supplemental Note, Figures S1–S10, and Supplemental Acknowledgments
mmc1.pdf (9.6MB, pdf)
Document S2. Tables S1–S9
mmc2.xlsx (331.5KB, xlsx)
Document S3. Article plus Supplemental Data
mmc3.pdf (10.5MB, pdf)

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