Khalid A. Fakhro

Indigenous Arabs are descendants of the earliest split from ancient Eurasian populations

An open question in the history of human migration is the identity of the earliest Eurasian populations that have left contemporary descendants. The Arabian Peninsula was the initial site of the out-of-Africa migrations that occurred between 125,000 and 60,000 yr ago, leading to the hypothesis that the first Eurasian populations were established on the Peninsula and that contemporary indigenous Arabs are direct descendants of these ancient peoples. To assess this hypothesis, we sequenced the entire genomes of 104 unrelated natives of the Arabian Peninsula at high coverage, including 56 of indigenous Arab ancestry. The indigenous Arab genomes defined a cluster distinct from other ancestral groups, and these genomes showed clear hallmarks of an ancient out-of-Africa bottleneck. Similar to other Middle Eastern populations, the indigenous Arabs had higher levels of Neanderthal admixture compared to Africans but had lower levels than Europeans and Asians. These levels of Neanderthal admixture are consistent with an early divergence of Arab ancestors after the out-of-Africa bottleneck but before the major Neanderthal admixture events in Europe and other regions of Eurasia. When compared to worldwide populations sampled in the 1000 Genomes Project, although the indigenous Arabs had a signal of admixture with Europeans, they clustered in a basal, outgroup position to all 1000 Genomes non-Africans when considering pairwise similarity across the entire genome. These results place indigenous Arabs as the most distant relatives of all other contemporary non-Africans and identify these people as direct descendants of the first Eurasian populations established by the out-of-Africa migrations.

Exome Sequencing Identifies Potential Risk Variants for Mendelian Disorders at High Prevalence in Qatar

Exome sequencing of families of related individuals has been highly successful in identifying genetic polymorphisms responsible for Mendelian disorders. Here, we demonstrate the value of the reverse approach, where we use exome sequencing of a sample of unrelated individuals to analyze allele frequencies of known causal mutations for Mendelian diseases. We sequenced the exomes of 100 individuals representing the three major genetic subgroups of the Qatari population (Q1 Bedouin, Q2 Persian‐South Asian, Q3 African) and identified 37 variants in 33 genes with effects on 36 clinically significant Mendelian diseases. These include variants not present in 1000 Genomes and variants at high frequency when compared with 1000 Genomes populations. Several of these Mendelian variants were only segregating in one Qatari subpopulation, where the observed subpopulation specificity trends were confirmed in an independent population of 386 Qataris. Premarital genetic screening in Qatar tests for only four out of the 37, such that this study provides a set of Mendelian disease variants with potential impact on the epidemiological profile of the population that could be incorporated into the testing program if further experimental and clinical characterization confirms high penetrance.

The Qatar genome: a population-specific tool for precision medicine in the Middle East.

Reaching the full potential of precision medicine depends on the quality of personalized genome interpretation. In order to facilitate precision medicine in regions of the Middle East and North Africa (MENA), a population-specific genome for the indigenous Arab population of Qatar (QTRG) was constructed by incorporating allele frequency data from sequencing of 1,161 Qataris, representing 0.4% of the population. A total of 20.9 million single nucleotide polymorphisms (SNPs) and 3.1 million indels were observed in Qatar, including an average of 1.79% novel variants per individual genome. Replacement of the GRCh37 standard reference with QTRG in a best practices genome analysis workflow resulted in an average of 7* deeper coverage depth (an improvement of 23%) and 756,671 fewer variants on average, a reduction of 16% that is attributed to common Qatari alleles being present in QTRG. The benefit for using QTRG varies across ancestries, a factor that should be taken into consideration when selecting an appropriate reference for analysis.

Epigenetics and Cardiovascular Disease in Diabetes

Type 2 diabetes has become a major health issue worldwide. Chronic hyperglycemia induces a low-grade inflammation that, on top of other mechanisms, leads to endothelial dysfunction. Mounting evidence suggests that DNA methylation, post-translational modifications of histones, and long non-coding RNAs play an important role in the initiation, maintenance, and progression of both macro- and micro-vascular complications of diabetes. Long-term exposure to hyperglycemia induces epigenetic changes that could become irreversible, a phenomenon known as the ‘metabolic memory.’ Whether epigenetic-based therapies could be used to slow or limit the progression of cardiovascular disease remains unclear. While non-coding RNAs are currently investigated as potential biomarkers that predict diabetic cardiovascular disease incidence and progression, their therapeutic role is only hypothetical. In this review, we highlight the latest findings in experimental and clinical studies relevant to epigenetics and cardiovascular disease in diabetes.

Role of SLMAP genetic variants in susceptibility of diabetes and diabetic retinopathy in Qatari population

BackgroundOverexpression of SLMAP gene has been associated with diabetes and endothelial dysfunction of macro- and micro-blood vessels. In this study our primary objective is to explore the role of SLMAP gene polymorphisms in the susceptibility of type 2 diabetes (T2DM) with or without diabetic retinopathy (DR) in the Qatari population.MethodsA total of 342 Qatari subjects (non-diabetic controls and T2DM patients with or without DR) were genotyped for SLMAP gene polymorphisms (rs17058639 C > T; rs1043045 C > T and rs1057719 A > G) using Taqman SNP genotyping assay.ResultsSLMAP rs17058639 C > T polymorphism was associated with the presence of DR among Qataris with T2DM. One-way ANOVA and multiple logistic regression analysis showed SLMAP SNP rs17058639 C > T as an independent risk factor for DR development. SLMAP rs17058639 C > T polymorphism also had a predictive role for the severity of DR. Haplotype Crs17058639Trs1043045Ars1057719 was associated with the increased risk for DR among Qataris with T2DM.ConclusionsThe data suggests the potential role of SLMAP SNPs as a risk factor for the susceptibility of DR among T2DM patients in the Qatari population.

Single-Nucleotide Variations of the Human Nuclear Hormone Receptor Genes in 60,000 Individuals

Nuclear hormone receptors (NRs) mediate biologic actions of lipophilic molecules to gene transcription and are phylogenetically and functionally categorized into seven subfamilies and three groups, respectively. Single-nucleotide variations (SNVs) or polymorphisms are genetic changes influencing individual response to environmental factors and susceptibility to various disorders, and are part of the genetic diversification and basis for evolution. We sorted out SNVs of the human NR genes from 60,706 individuals, calculated three parameters (percentage of all variants, percentage of loss-of-function variants, and ratio of nonsynonymous/synonymous variants in their full protein-coding or major domain–coding sequences), and compared them with several valuables. Comparison of these parameters between NRs and control groups identified that NRs form a highly conserved gene family. The three parameters for the full coding sequence are positively correlated with each other, whereas four NR genes are distinct from the others with much higher tolerance to protein sequence-changing variants. DNA-binding domain and N-terminal domain are respectively those bearing the least and the most variation. NR subfamilies based on their phylogenetic proximity or functionality as well as diversity of tissue distribution and numbers of partner molecules are all not correlated with the variation parameters, whereas their gene age demonstrates an association. Our results suggest that the natural selection driving the NR family evolution still operates in humans. Gene age and probably the potential to adapt to various new ligands, but not current functional diversity, are major determinants for SNVs of the human NR genes.

Circulating microparticles in acute diabetic Charcot foot exhibit a high content of inflammatory cytokines, and support monocyte-to-osteoclast cell induction

Circulating microparticles (MPs) are major mediators in cardiovascular complications of type 2 diabetes (T2D); however, their contribution to Charcot foot (CF) disease is not known. Here, we purified and assessed the origin, concentration and content of circulating MPs from 33 individuals: 11 with T2D and acute CF, 11 T2D patients with equivalent neuropathy and 11 non-diabetic controls. First, we demonstrated that there were no differences in the distribution of MPs of endothelial, platelet origin among the 3 groups. However, MPs from leukocytes and monocytes origin were increased in CF patients. Moreover, we demonstrated that monocytes-derived MPs originated more frequently from intermediate and non-classical monocytes in CF patients. Five cytokines (G-CSF, GM-CSF, IL-1-ra, IL-2 and IL-16) were significantly increased in MPs from acute CF patients. Applying ingenuity pathways analysis, we found that those cytokines interacted well and induced the activation of pathways that are involved in osteoclast formation. Further, we treated THP-1 monocytes and monocytes sorted from healthy patients with CF-derived MPs during their differentiation into osteoclasts, which increased their differentiation into multinucleated osteoclast-like cells. Altogether, our study suggests that circulating MPs in CF disease have a high content of inflammatory cytokines and could increase osteoclast differentiation in vitro.

Type 2 Diabetes Risk Allele Loci in the Qatari Population.

Background The prevalence of type 2 diabetes (T2D) is increasing in the Middle East. However, the genetic risk factors for T2D in the Middle Eastern populations are not known, as the majority of studies of genetic risk for T2D are in Europeans and Asians. Methods All subjects were ≥3 generation Qataris. Cases with T2D (n = 1,124) and controls (n = 590) were randomly recruited and assigned to the 3 known Qatari genetic subpopulations [Bedouin (Q1), Persian/South Asian (Q2) and African (Q3)]. Subjects underwent genotyping for 37 single nucleotide polymorphisms (SNPs) in 29 genes known to be associated with T2D in Europeans and/or Asian populations, and an additional 27 tag SNPs related to these susceptibility loci. Pre-study power analysis suggested that with the known incidence of T2D in adult Qataris (22%), the study population size would be sufficient to detect significant differences if the SNPs were risk factors among Qataris, assuming that the odds ratio (OR) for T2D SNPs in Qatari’s is greater than or equal to the SNP with highest known OR in other populations. Results Haplotype analysis demonstrated that Qatari haplotypes in the region of known T2D risk alleles in Q1 and Q2 genetic subpopulations were similar to European haplotypes. After Benjamini-Hochberg adjustment for multiple testing, only two SNPs (rs7903146 and rs4506565), both associated with transcription factor 7-like 2 (TCF7L2), achieved statistical significance in the whole study population. When T2D subjects and control subjects were assigned to the known 3 Qatari subpopulations, and analyzed individually and with the Q1 and Q2 genetic subpopulations combined, one of these SNPs (rs4506565) was also significant in the admixed group. No other SNPs associated with T2D in all Qataris or individual genetic subpopulations. Conclusions With the caveats of the power analysis, the European/Asian T2D SNPs do not contribute significantly to the high prevalence of T2D in the Qatari population, suggesting that the genetic risks for T2D are likely different in Qataris compared to Europeans and Asians.

Two hits in one: whole genome sequencing unveils LIG4 syndrome and urofacial syndrome in a case report of a child with complex phenotype

BackgroundLigase IV syndrome, a hereditary disease associated with compromised DNA damage response mechanisms, and Urofacial syndrome, caused by an impairment of neural cell signaling, are both rare genetic disorders, whose reports in literature are limited. We describe the first case combining both disorders in a specific phenotype.Case presentationWe report a case of a 7-year old girl presenting with a complex phenotype characterized by multiple congenital abnormalities and dysmorphic features, microcephaly, short stature, combined immunodeficiency and severe vesicoureteral reflux. Whole Genome Sequencing was performed and a novel ligase IV homozygous missense c.T1312C/p.Y438H mutation was detected, and is believed to be responsible for most of the clinical features of the child, except vesicoureteral reflux which has not been previously described for ligase IV deficiency. However, we observed a second rare damaging (nonsense) homozygous mutation (c.C2125T/p.R709X) in the leucine-rich repeats and immunoglobulin-like domains 2 gene that encodes a protein implicated in neural cell signaling and oncogenesis. Interestingly, this mutation has recently been reported as pathogenic and causing urofacial syndrome, typically displaying vesicoureteral reflux. Thus, this second mutation completes the missing genetic explanation for this intriguing clinical puzzle. We verified that both mutations fit an autosomal recessive inheritance model due to extensive consanguinity.ConclusionsWe successfully identified a novel ligase IV mutation, causing ligase IV syndrome, and an additional rare leucine-rich repeats and immunoglobulin-like domains 2 gene nonsense mutation, in the context of multiple autosomal recessive conditions due to extensive consanguinity. This work demonstrates the utility of Whole Genome Sequencing data in clinical diagnosis in such cases where the combination of multiple rare phenotypes results in very intricate clinical pictures. It also reports a novel causative mutation and a clinical phenotype, which will help in better defining the essential features of both ligase IV and leucine-rich repeats and immunoglobulin-like domains 2 deficiency syndromes.

Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population.

Metabolomics-genome-wide association studies (mGWAS) have uncovered many metabolic quantitative trait loci (mQTLs) influencing human metabolic individuality, though predominantly in European cohorts. By combining whole-exome sequencing with a high-resolution metabolomics profiling for a highly consanguineous Middle Eastern population, we discover 21 common variant and 12 functional rare variant mQTLs, of which 45% are novel altogether. We fine-map 10 common variant mQTLs to new metabolite ratio associations, and 11 common variant mQTLs to putative protein-altering variants. This is the first work to report common and rare variant mQTLs linked to diseases and/or pharmacological targets in a consanguineous Arab cohort, with wide implications for precision medicine in the Middle East.Blood metabolites are influenced by a combination of genetic and environmental factors. Here, Yousri and colleagues perform a whole-exome sequencing study in combination with a metabolomics analysis to identify metabolic quantitative trait loci in a Middle Eastern population.