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Grant, S. F.

Publications and source records attributed to Grant, S. F..

18 recordsLinked to original sources

Utilizing single-cell data for per-cell type eQTL mapping in the human pancreas

Aims/hypothesis The human pancreas is a central organ for metabolic regulation that is comprised of diverse cell types that uniquely contribute to its function. Previous studies have performed expression quantitative trail loci (eQTL) discovery in either whole pancreas or in pancreatic islets, but due to differences between pancreatic cell types, this approach does not reveal cell type-specific effects. In this study, we sought to either implicate the cell type of action for known eQTLs or identify new eQTLs that may have been masked in bulk studies by performing eQTL discovery in individual pancreatic cell types. Methods We clustered 153,018 single-cell RNA sequencing (scRNA-seq) data from 71 pancreatic islet donors from the Human Pancreas Analysis Program (HPAP). We performed eQTL discovery in six pancreatic cell types using this resource directly. We further utilized this single cell resource as a reference to deconvolute bulk pancreatic RNA sequencing data from 305 Genotype Tissue Expression (GTEx) project donors and performed eQTL discovery in four pancreatic cell types. Finally, we performed fine-mapping and co-localization of pancreatic cell type eQTLs with metabolic GWAS to connect our findings to metabolic disease risk. Results From analyzing 71 individuals with single cell profiles, we identified 112 unique eGenes across six pancreatic cell types, 99 of which had been identified previously and 13 unique to this study. From the deconvoluted eQTLs, we identified 3,134 unique eGenes across four pancreatic cell types, 116 of which were unique to our study. Fine-mapping and co-localization of eQTLs with metabolic GWAS yielded key leads that warrant further investigation, such as the association of rs2168101 with LMO1 expression in alpha cells. Conclusions/interpretation We identified new signals that were previously not found in bulk pancreatic eQTL studies and potential cell type of action for several signals that were identified previously. Although there are limitations to the power, and therefore, discoverability of this study, it provides insights into how individual pancreatic cells differently contribute to metabolic disease.

genetics↗

Cross-trait clustering of sub-threshold sleep genetic signals identifies EGR2 as a conserved regulator of sleep

Idiopathic hypersomnia (IH) is a highly heritable sleep disorder characterized by excessive daytime sleepiness, yet few genetic pathways contributing to hypersomnolence have been identified. To expand genetic discovery beyond the limited number of genome-wide significant loci associated with sleepiness-related traits, we applied multi-trait clustering to sleep-associated genetic variation that did not reach conventional significance thresholds. Integration with our cell-type-specific variant-to-gene mapping prioritized candidate effector genes for cross-species functional screening. Among the strongest candidates was EGR2, which emerged as a distal effector gene at the ADO-EGR2 locus in neurons. Neuronal knockdown of the Drosophila EGR2 ortholog stripe increased sleep duration and sleep consolidation, while mutation of zebrafish egr2 orthologs similarly increased sleep. Together, these findings demonstrate that sleep-regulatory pathways can be identified from genetic signals below conventional significance thresholds and establish EGR2 as a conserved regulator of sleep across species.

neuroscience↗

Cell-specific variant-to-gene mapping identifies conserved neural and glial regulators of sleep

Excessive daytime sleepiness (EDS) is a heterogeneous phenotype with little known of its genetic basis. Large-scale genome-wide association studies (GWAS) have reported genomic loci associated with EDS, though since most of these are non-coding, the causal gene(s) underlying the association are not known. Additionally, the cell types in which these genes exert their effects on sleep have not been functionally explored in vivo. Here, we employed a chromatin-based variant-to-gene mapping approach to first implicate candidate effector genes at EDS GWAS loci in human-derived neural and glial cell lines. Subsequent cell type-specific RNAi knockdown of orthologous genes using neural and glial GAL4 drivers in Drosophila confirmed cell-specific regulation of sleep by these GWAS-implicated effector genes. Among these, ruby (ortholog to AP3B2), a component of the AP-3 vesicular trafficking complex emerged as a robust sleep regulator. Targeted knockdown in flies localized ruby function to astrocyte-like glia, where loss of ruby increased sleep duration. The conserved role of ruby/ ap3b2 was validated in zebrafish where CRISPR-mediated loss increased daytime sleep. Together, these findings show that physical variant-to-gene mapping predicted cell-type-specific gene function for complex sleep traits and revealed ruby/AP3B2 as a conserved glial regulator of sleep and arousal. This work provides a generalizable framework for connecting non-coding GWAS variants and their corresponding effector genes to identify novel and highly conserved regulators of sleep.

genetics↗

Multimodal analysis of in vitro hematopoiesis reveals blood cell-specific genetic impacts on complex disease traits

In vitro hematopoiesis systems can be used to define mechanisms for blood cell formation and function, produce cell therapeutics, and model blood cell contributions to systemic disease. Hematopoietic progenitor cell (HPC) production remains inefficient, precluded by knowledge gaps related to specification and morphogenesis of specialized hemogenic endothelial cells, which undergo an endothelial-to-hematopoietic transition (EHT) to form HPCs. We elected to define changes in gene expression and chromatin organization during HPC formation to reveal regulatory mechanisms. Using paired single cell RNA/ATAC sequencing together with Hi-C, we profiled cells before and after EHT. Pathway analysis and pseudotime inferences confirmed a continuum of stromal and endothelial cells undergoing development into HE cells and lineage-based HPCs in vitro. In these cell types, we characterize cis-regulatory elements and transcriptional regulatory activities that facilitate EHT and HPC homeostasis, including for SNAI1, SOX17, TGF{beta}, STAT4, as well as for GFI1b and KLF1 in megakaryocyte- and erythroid-biased progenitors, respectively. We then leveraged our insights into chromatin organization among in vitro-derived cells to assess enrichments corresponding to human trait variation reported in human genome wide association studies. HPCs revealed locus enrichment for quantitative blood traits and autoimmune disease predisposition, which were particularly enriched in myeloid- and lymphoid-biased populations. Stromal and endothelial cells from our in vitro cultures were specifically enriched for accessible chromatin at blood pressure loci. Our findings reveal genes and mechanisms governing in vitro hematopoietic development and blood cell-related disease pathology.

genetics↗

Cross-species evidence for a developmental origin of adult hypersomnia with loss of synaptic adhesion molecules beat-Ia/CADM2

Idiopathic hypersomnia (IH) is a poorly-understood sleep disorder characterized by excessive daytime sleepiness despite normal nighttime sleep. Combining human genomics with behavioral and mechanistic studies in fish and flies, we uncover a role for beat-Ia/CADM2, synaptic adhesion molecules of the immunoglobulin superfamily, in excessive sleepiness. Neuronal knockdown of Drosophila beat-Ia results in sleepy flies and loss of the vertebrate ortholog of beat-Ia, CADM2, results in sleepy fish. We delineate a developmental function for beat-Ia in synaptic elaboration of neuropeptide F (NPF) neurites projecting to the suboesophageal zone (SEZ) of the fly brain. Brain connectome and experimental evidence demonstrate these NPF outputs synapse onto a subpopulation of SEZ GABAergic neurons to stabilize arousal. NPF is the Drosophila homolog of vertebrate neuropeptide Y (NPY), and an NPY receptor agonist restores sleep to normal levels in zebrafish lacking CADM2. These findings point towards NPY modulation as a treatment target for human hypersomnia.

neuroscience↗

Characterization of non-coding variants associated with transcription factor binding through ATAC-seq-defined footprint QTLs in liver

Non-coding variants discovered by genome-wide association studies (GWAS) are enriched in regulatory elements harboring transcription factor (TF) binding motifs, strongly suggesting a connection between disease association and the disruption of cis-regulatory sequences. Occupancy of a TF inside a region of open chromatin can be detected in ATAC-seq where bound TFs block the transposase Tn5, leaving a pattern of relatively depleted Tn5 insertions known as a "footprint". Here, we sought to identify variants associated with TF-binding, or "footprint quantitative trait loci" (fpQTLs) in ATAC-seq data generated from 170 human liver samples. We used computational tools to scan the ATAC-seq reads to quantify TF binding likelihood as "footprint scores" at variants derived from whole genome sequencing generated in the same samples. We tested for association between genotype and footprint score and observed 693 fpQTLs associated with footprint-inferred TF binding (FDR < 5%). Given that Tn5 insertion sites are measured with base-pair resolution, we show that fpQTLs can aid GWAS and QTL fine-mapping by precisely pinpointing TF activity within broad trait-associated loci where the underlying causal variant is unknown. Liver fpQTLs were strongly enriched across ChIP-seq peaks, liver expression QTLs (eQTLs), and liver-related GWAS loci, and their inferred effect on TF binding was concordant with their effect on underlying sequence motifs in 80% of cases. We conclude that fpQTLs can reveal causal GWAS variants, define the role of TF binding site disruption in disease and provide functional insights into non-coding variants, ultimately informing novel treatments for common diseases. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/614730v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@129928borg.highwire.dtl.DTLVardef@53fff8org.highwire.dtl.DTLVardef@c9f814org.highwire.dtl.DTLVardef@1bdf1a8_HPS_FORMAT_FIGEXP M_FIG C_FIG We leverage footprinting methods to infer transcription factor binding likelihood genome-wide across 170 liver ATAC-seq samples and implicate 693 SNPs with a genetic influence on binding. Unlike other comparable approaches, this analytical method is not limited in resolution by the constraints of linkage disequilibrium, and can prioritize likely causal variants at GWAS loci for subsequent experimental validation.

genetics↗

Variant-to-function mapping of late-onset Alzheimer's disease GWAS signals in human microglial cell models implicates RTFDC1 at the CASS4 locus

Late-onset Alzheimers disease (LOAD) research has principally focused on neurons over the years due to their known role in the production of amyloid beta plaques and neurofibrillary tangles. In contrast, recent genomic studies of LOAD have implicated microglia as culprits of the prolonged inflammation exacerbating the neurodegeneration observed in patient brains. Indeed, recent LOAD genome-wide association studies (GWAS) have reported multiple loci near genes related to microglial function, including TREM2, ABI3, and CR1. However, GWAS alone cannot pinpoint underlying causal variants or effector genes at such loci, as most signals reside in non-coding regions of the genome and could presumably confer their influence frequently via long-range regulatory interactions. We elected to carry out a combination of ATAC-seq and high-resolution promoter-focused Capture-C in two human microglial cell models (iPSC-derived microglia and HMC3) in order to physically map interactions between LOAD GWAS-implicated candidate causal variants and their corresponding putative effector genes. Notably, we observed consistent evidence that rs6024870 at the GWAS CASS4 locus contacted the promoter of nearby gene, RTFDC1. We subsequently observed a directionallly consistent decrease in RTFDC1 expression with the the protective minor A allele of rs6024870 via both luciferase assays in HMC3 cells and expression studies in primary human microglia. Through CRISPR-Cas9-mediated deletion of the putative regulatory region harboring rs6024870 in HMC3 cells, we observed increased pro-inflammatory cytokine secretion and decreased DNA double strand break repair related, at least in part, to RTFDC1 expression levels. Our variant-to-function approach therefore reveals that the rs6024870-harboring regulatory element at the LOAD CASS4 GWAS locus influences both microglial inflammatory capacity and DNA damage resolution, along with cumulative evidence implicating RTFDC1 as a novel candidate effector gene.

genetics↗

GWAS-informed data integration and non-coding CRISPRi screen illuminate genetic etiology of bone mineral density

Over 1,100 independent signals have been identified with genome-wide association studies (GWAS) for bone mineral density (BMD), a key risk factor for mortality-increasing fragility fractures; however, the effector gene(s) for most remain unknown. Informed by a variant-to-gene mapping strategy implicating 89 non-coding elements predicted to regulate osteoblast gene expression at BMD GWAS loci, we executed a single-cell CRISPRi screen in human fetal osteoblasts (hFOBs). The BMD relevance of hFOBs was supported by heritability enrichment from stratified LD-score regression involving 98 cell types grouped into 15 tissues. 23 genes showed perturbation in the screen, with four (ARID5B, CC2D1B, EIF4G2, and NCOA3) exhibiting consistent effects upon siRNA knockdown on three measures of osteoblast maturation and mineralization. Lastly, additional heritability enrichments, genetic correlations, and multi-trait fine-mapping revealed unexpectedly that many BMD GWAS signals are pleiotropic and likely mediate their effects via non-bone tissues. Extending our CRISPRi screening approach to these tissues could play a key role in fully elucidating the etiology of BMD.

genomics↗

Variant-to-function analysis of the childhood obesity chr12q13 locus implicates rs7132908 as a causal variant within the 3' UTR of FAIM2

The ch12q13 obesity locus is among the most significant childhood obesity loci identified in genome-wide association studies. This locus resides in a non-coding region within FAIM2; thus, the underlying causal variant(s) presumably influence disease susceptibility via an influence on cis-regulation within the genomic region. We implicated rs7132908 as a putative causal variant at this locus leveraging a combination of our inhouse 3D genomic data, public domain datasets, and several computational approaches. Using a luciferase reporter assay in human primary astrocytes, we observed allele-specific cis-regulatory activity of the immediate region harboring rs7132908. Motivated by this finding, we went on to generate isogenic human embryonic stem cell lines homozygous for either rs7132908 allele with CRISPR-Cas9 homology-directed repair to assess changes in gene expression due to genotype and chromatin accessibility throughout a differentiation to hypothalamic neurons, a key cell type known to regulate feeding behavior. We observed that the rs7132908 obesity risk allele influenced the expression of FAIM2 along with other genes, decreased the proportion of neurons produced during differentiation, up-regulated cell death gene sets, and conversely down-regulated neuron differentiation gene sets. We have therefore functionally validated rs7132908 as a causal obesity variant which temporally regulates nearby effector genes at the ch12q13 locus and influences neurodevelopment and survival.

genetics↗

Perturbation of the insomnia WDR90 GWAS locus pinpoints rs3752495 as a causal variant influencing distal expression of neighboring gene, PIG-Q

Although genome wide association studies (GWAS) have been crucial for the identification of loci associated with sleep traits and disorders, the method itself does not directly uncover the underlying causal variants and corresponding effector genes. The overwhelming majority of such variants reside in non-coding regions and are therefore presumed to impact the activity of cis-regulatory elements, such as enhancers. Our previously reported variant-to-gene mapping effort in human induced pluripotent stem cell (iPSC)-derived neural progenitor cells (NPCs), combined with validation in both Drosophila and zebrafish, implicated PIG-Q as a functionally relevant gene at the insomnia WDR90 locus. However, importantly that effort did not characterize the corresponding underlying causal variant at this GWAS signal. Specifically, our genome-wide ATAC-seq and high-resolution promoter-focused Capture C datasets generated in this cell setting brought our attention to a shortlist of three tightly neighboring single nucleotide polymorphisms (SNPs) in strong linkage disequilibrium in a candidate intronic enhancer region of WDR90 that contacted the open PIG-Q promoter. The objective of this study was to investigate the influence of the proxy SNPs collectively and then individually on PIG-Q modulation and to pinpoint the causal "regulatory" variant among the three SNPs. Starting at a gross level perturbation, deletion of the entire region harboring all three SNPs in human iPSC-derived neural progenitor cells via CRISPR-Cas9 editing and subsequent RNA sequencing revealed expression changes in specific PIG-Q transcripts. Results from more refined individual luciferase reporter assays for each of the three SNPs in iPSCs revealed that the intronic region with the rs3752495 risk allele induced a [~]2.5-fold increase in luciferase expression (n=10). Importantly, rs3752495 also exhibited an allele specific effect, with the risk allele increasing the luciferase expression by [~]2-fold compared to the non-risk allele. In conclusion, our variant-to-function approach and subsequent in vitro validation implicates rs3752495 as a causal insomnia risk variant embedded at the WDR90-PIG-Q locus.

genomics↗

Foxp3 depends on Ikaros for control of regulatory T cell gene expression and function

Ikaros is a transcriptional factor required for conventional T cell development, differentiation, and anergy. While the related factors Helios and Eos have defined roles in regulatory T cells (Treg), a role for Ikaros has not been established. To determine the function of Ikaros in the Treg lineage, we generated mice with Treg-specific deletion of the Ikaros gene (Ikzf1). We find that Ikaros cooperates with Foxp3 to establish a major portion of the Treg epigenome and transcriptome. Ikaros-deficient Treg exhibit Th1-like gene expression with abnormal expression of IL-2, IFNg, TNFa, and factors involved in Wnt and Notch signaling. While Ikzf1-Treg-cko mice do not develop spontaneous autoimmunity, Ikaros-deficient Treg are unable to control conventional T cell-mediated immune pathology in response to TCR and inflammatory stimuli in models of IBD and organ transplantation. These studies establish Ikaros as a core factor required in Treg for tolerance and the control of inflammatory immune responses.

immunology↗

Chromatin conformation dynamics during CD4+ T cell activation implicates autoimmune disease-associated genes and regulatory elements

Genome-wide association studies (GWAS) have identified hundreds of genetic signals associated with autoimmune disease. The majority of these signals are located in non-coding regions and likely impact cis-regulatory elements (cRE). Because cRE function is dynamic across cell types and states, profiling the epigenetic status of cRE across physiological processes is necessary to characterize the molecular mechanisms by which autoimmune variants contribute to disease risk. We localized risk variants from 15 autoimmune GWAS to cRE active during TCR-CD28 costimulation of naive human CD4+ T cells. To characterize how dynamic changes in gene expression correlate with cRE activity, we measured transcript levels, chromatin accessibility, and promoter-cRE contacts across three phases of naive CD4+ T cell activation using RNA-seq, ATAC-seq, and HiC. We identified [~]1,200 protein-coding genes physically connected to accessible disease-associated variants at 423 GWAS signals, at least one-third of which are dynamically regulated by activation. From these maps, we functionally validated a novel stretch of evolutionarily conserved intergenic enhancers whose activity is required for activation-induced IL2 gene expression in human and mouse, and is influenced by autoimmune-associated genetic variation. The set of genes implicated by this approach are enriched for genes controlling CD4+ T cell function and genes involved in human inborn errors of immunity, and we pharmacologically validated eight implicated genes as novel regulators of T cell activation. These studies directly show how autoimmune variants and the genes they regulate influence processes involved in CD4+ T cell proliferation and activation.

immunology↗

Variant-to-gene-mapping followed by cross-species genetic screening identifies GPI-anchor biosynthesis as novel regulator of sleep

Sleep is nearly ubiquitous throughout the animal kingdom, with deficiencies in sleep having been linked to a wide range of human disorders and diseases. While genome wide association studies (GWAS) in humans have identified loci robustly associated with several heritable diseases or traits, little is known about the functional roles of the underlying causal variants in regulating sleep duration or quality. We applied an ATAC-seq/promoter focused Capture C strategy in human iPSC-derived neural progenitors to carry out a variant-to-gene mapping campaign that identified 88 candidate sleep effector genes connected to relevant GWAS signals. To functionally validate the role of the implicated effector genes in sleep regulation, we performed a neuron-specific RNAi screen in the fruit fly, Drosophila melanogaster. This approach identified a number of genes that regulated sleep, including phosphatidylinositol N-acetylglucosaminyltransferase subunit Q (PIG-Q), a gene that encodes an enzyme involved in the first step of glycosylphosphatidylinositol (GPI)- anchor biosynthesis. We show that flies deficient for PIG-Q have longer sleep during both day and night due to an increase in the total number of sleep bouts. Subsequent systematic investigation of other PIG-family genes identified increased sleep in flies for multiple different genes within the PIG pathway. We then mutated the PIG-Q locus in zebrafish and identified similar increases in sleep to those observed in Drosophila, confirming deep homology of PIG-Q mediated sleep regulation. These results provide the first physical variant-to-gene mapping of human sleep genes followed by a model organism-based prioritization, revealing a novel and conserved role for GPI-anchor biosynthesis in sleep regulation.

genetics↗

Converging evidence for differential regulatory control of APOEε4 on African versus European haplotypes

INTRODUCTIONThe difference in APOE{varepsilon}4 risk for Alzheimer disease (AD) between different populations is associated with APOE{varepsilon}4 local ancestry (LA). We examined LA SNPs with significant frequency differences between African and European/Japanese APOE{varepsilon}4 haplotypes for areas of differential regulation. METHODSWe performed two enhancer Massively Parallel Reporter Assay (MPRA) approaches, supplemented with single fragment reporter assays. We utilized Capture C analyses to support interactions with the APOE promoter. RESULTSThe TOMM40 intron 2 and 3 region showed increased enhancer activity in the European/Japanese versus African LA haplotypes in astrocytes and microglia. This region overlaps with APOE promoter interactions as assessed by Capture C analysis. Single variant analyses pinpoints rs2075650/rs157581, and rs59007384 as functionally different on these haplotypes. DISCUSSIONBoth differential regulatory function and Capture C data support an intronic region in TOMM40 as contributing to the differential APOE expression between African and European/Japanese LA.

genomics↗

CBX1 mutations cause a neurodevelopmental syndrome due to heterochromatin organizational alterations

PurposeThis study aimed to establish variants in CBX1, encoding heterochromatin protein 1{beta} (HP1{beta}), as a cause of a novel syndromic neurodevelopmental disorder. MethodsPatients with CBX1 variants were identified, and clinician researchers were connected using GeneMatcher and physician referrals. Clinical histories were collected from each patient. To investigate the pathogenicity of identified variants, we performed in vitro cellular assays, neurobehavioral and cytological analyses of neuronal cells obtained from newly generated Cbx1 mutant mouse lines. ResultsIn three unrelated individuals with developmental delay, hypotonia, and autistic features, we identified heterozygous de novo variants in CBX1. The identified variants were in the chromodomain, the functional domain of HP1 {beta}, which mediates interactions with chromatin. Cbx1 chromodomain mutant mice displayed increased latency-to-peak response, suggesting the possibility of synaptic delay or myelination deficits. Cytological and chromatin immunoprecipitation experiments confirmed the reduction of mutant HP1{beta} binding to heterochromatin, while HP1{beta} interactome analysis demonstrated that the majority of HP1{beta}-interacting proteins remained unchanged between the wild-type and mutant HP1{beta}. ConclusionThese collective findings confirm the role of CBX1 in developmental disabilities through the disruption of HP1{beta} chromatin binding during neurocognitive development. As HP1{beta} forms homodimers and heterodimers, mutant HP1{beta} likely sequesters wild-type HP1{beta} and other HP1 proteins, exerting dominant-negative effects.

genetics↗

Human follicular helper T cell promoter connectomes reveal novel genes and regulatory elements at SLE GWAS loci

Systemic lupus erythematosus (SLE) is a complex inflammatory disease mediated by autoreactive antibodies that damages multiple tissues in children and adults. Genome-wide association studies (GWAS) have statistically implicated hundreds of loci in the susceptibility to human disease, including SLE, but the majority have failed to identify the causal variants or the effector genes. As a physicochemical approach to detecting functional variants and connecting them to target genes, we generated comprehensive, high-resolution maps of SLE variant accessibility and gene connectivity in the context of the three-dimensional chromosomal architecture of human tonsillar follicular helper T cells (TFH), a cell type required for the production of anti-nuclear antibodies characteristic of SLE. These spatial epigenomic maps identified a shortlist of over 400 potentially functional variants across 48 GWAS-implicated SLE loci. Twenty percent of these variants were located in open promoters of highly-expressed TFH genes, while 80% reside in non-promoter genomic regions that are connected in 3D to genes that likewise tend to be highly expressed in TFH. Importantly, we find that 90% of SLE-associated variants exhibit spatial proximity to genes that are not nearby in the 1D sequence of the genome, and over 60% of variants skip the nearest gene to physically interact only with the promoters of distant genes. Gene ontology confirmed that genes in spatial proximity to SLE variants reside in highly SLE-relevant networks, including accessible variants that loop 200-1000 kb to interact with the promoters of the canonical TFH genes BCL6 and CXCR5. CRISPR-Cas9 genome editing confirmed that these variants reside in novel, distal regulatory elements required for normal BCL6 and CXCR5 expression by T cells. Furthermore, SLE-associated SNP-promoter interactomes implicated a set of novel genes with no known role in TFH or SLE disease biology, including the homeobox-interacting protein kinase HIPK1 and the Ste kinase homolog MINK1. Targeting these kinases in primary human TFH cells inhibited production of IL-21, a requisite cytokine for production of class-switched antibodies by B cells. This 3D-variant-to-gene mapping approach gives mechanistic insight into the SLE-associated regulatory architecture of the human genome.

genomics↗

Clinical and Functional Characterization of Melanocortin 4 Receptor genetic variants in African American and/or Hispanic children with severe early onset obesity.

ContextMutations in melanocortin receptor (MC4R) are the most frequent cause of monogenic obesity in children of European ancestry, but little is known about their prevalence in children from minority populations in the United States.\n\nObjectiveThis study aims to identify the prevalence of MC4R mutations in children with severe early onset obesity of African-American and/or Latina ancestry.\n\nDesign and SettingIndividuals were recruited from the weight management clinics at two hospitals and from the institutional biobank at a third hospital. Sequencing of the MC4R gene was performed by whole exome and/or Sanger sequencing. Functional testing was performed to establish the surface expression of the receptor and cAMP response to its cognate ligand -melanocyte stimulating hormone.\n\nParticipantsThree hundred and twelve children (1-18 years, 50% girls) with body mass index (BMI) > 120% of 95th percentile of CDC 2000 growth charts at an age < 6 years, with no known pathological cause of obesity were enrolled.\n\nResultsEight rare MC4R mutations (2.6%) were identified in this study (R7S, F202L (n=2), M215I, G252D, V253I, I269N, F284I), three of which have not been previously reported (M215I, G252D, F284I). The pathogenicity of the variants was confirmed either by prior literature reports, or by functional testing. There was no significant difference in the BMI or height trajectories of children with or without MC4R mutations in this cohort.\n\nConclusionsWhile the prevalence of MC4R mutations in this cohort was similar to that reported in obese children of European ancestry, some of the variants were novel.

genetics↗

Genetic And Epigenetic Fine Mapping Of Complex Trait Associated Loci In The Human Liver

Deciphering the impact of genetic variation on gene regulation is fundamental to understanding common, complex human diseases. Although histone modifications are important markers of gene regulatory regions of the genome, any specific histone modification has not been assayed in more than a few individuals in the human liver. As a result, the impacts of genetic variation that direct histone modification states in the liver are poorly understood. Here, we generate the most comprehensive genome-wide dataset of two epigenetic marks, H3K4me3 and H3K27ac, and annotate thousands of putative regulatory elements in the human liver. We integrate these findings with genome-wide gene expression data collected from the same human liver tissues and high-resolution promoter-focused chromatin interaction maps collected from human liver-derived HepG2 cells. We demonstrate widespread functional consequences of natural genetic variation on putative regulatory element activity and gene expression levels. Leveraging these extensive datasets, we fine-map a total of 77 GWAS loci that have been associated with at least one complex phenotype. Our results contribute to the repertoire of genes and regulatory mechanisms governing complex disease development and further the basic understanding of genetic and epigenetic regulation of gene expression in the human liver tissue.

genetics↗