Ethnic differences in key candidate genes for spontaneous preterm birth: TNF-alpha and its receptors

OBJECTIVES: Spontaneous preterm birth (PTB) has a significant ethnic disparity with people of African descent having an almost 2-fold higher incidence than those of European descent in the United States. This disparity may be caused by differences in the distribution of genetic risk factors. The objective of this study is to examine genetic differences between African-Americans and European Americans for single nucleotide polymorphisms (SNPs) in candidate genes for PTB. METHODS: We examined patterns of variation in 19 SNPs in 3 candidate genes for preterm birth: TNF-alpha, TNF-receptor 1 and TNF-receptor 2. Allele, genotype and haplotype frequencies were compared between African-Americans (AA) and European-Americans (EA) in cases and controls separately. Both maternal and fetal genotypes were studied, as it is unclear whether one or both of these are important in the etiology of PTB. RESULTS: The vast majority of the SNPs differed significantly between ethnic groups, although there are only a few suggestive results comparing cases and controls within an ethnic group. For TNF-alpha, four of six SNPs; for TNF-R1, 5/6; and for TNF-R2, 6/7 showed significant differences between ethnic groups in either allele and/or genotype frequency. CONCLUSIONS: Our data demonstrate highly significant genetic differences between ethnic groups in genes that may play a role in the risk of PTB.     

Adaptations to climate in candidate genes for common metabolic disorders

Evolutionary pressures due to variation in climate play an important role in shaping phenotypic variation among and within species and have been shown to influence variation in phenotypes such as body shape and size among humans. Genes involved in energy metabolism are likely to be central to heat and cold tolerance. To test the hypothesis that climate shaped variation in metabolism genes in humans, we used a bioinformatics approach based on network theory to select 82 candidate genes for common metabolic disorders. We genotyped 873 tag SNPs in these genes in 54 worldwide populations (including the 52 in the Human Genome Diversity Project panel) and found correlations with climate variables using rank correlation analysis and a newly developed method termed Bayesian geographic analysis. In addition, we genotyped 210 carefully matched control SNPs to provide an empirical null distribution for spatial patterns of allele frequency due to population history alone. For nearly all climate variables, we found an excess of genic SNPs in the tail of the distributions of the test statistics compared to the control SNPs, implying that metabolic genes as a group show signals of spatially varying selection. Among our strongest signals were several SNPs (e.g., LEPR R109K, FABP2 A54T) that had previously been associated with phenotypes directly related to cold tolerance. Since variation in climate may be correlated with other aspects of environmental variation, it is possible that some of the signals that we detected reflect selective pressures other than climate. Nevertheless, our results are consistent with the idea that climate has been an important selective pressure acting on candidate genes for common metabolic disorders.     

The thrifty epigenotype: An acquired and heritable predisposition for obesity and diabetes?

Obesity and type 2 diabetes arise from a set of complex gene-environment interactions. Explanations for the heritability of these syndromes and the environmental contribution to disease susceptibility are addressed by the "thrifty genotype" and the "thrifty phenotype" hypotheses. Here, the merits of both models are discussed and elements of them are used to synthesize a "thrifty epigenotype" hypothesis. I propose that: (1) metabolic thrift, the capacity for efficient acquisition, storage and use of energy, is an ancient, complex trait, (2) the environmentally responsive gene network encoding this trait is subject to genetic canalization and thereby has become robust against mutational perturbations, (3) DNA sequence polymorphisms play a minor role in the aetiology of obesity and type 2 diabetes-instead, disease susceptibility is predominantly determined by epigenetic variations, (4) corresponding epigenotypes have the potential to be inherited across generations, and (5) Leptin is a candidate gene for the acquisition of a thrifty epigenotype.     

Diabetes mellitus in the Pima Indians: genetic and evolutionary considerations

Non-insulin-dependent diabetes mellitus is a common disease in the Pima Indians. It is familial and strongly related to obesity. Neel (1962) suggested that the introduction of a steady food supply to people who have evolved a "thrifty genotype" leads to obesity, insulin resistance, and diabetes. Our findings in the Pimas of differences in insulin sensitivity in different metabolic pathways suggest that the thrifty genotype involves the ability of insulin to maintain fat stores despite resistance to glucose disposal. The recent increase in diabetes incidence following the availability of an abundant food supply suggests that the ability to store energy efficiently during cycles of feast and famine may now lead to obesity, insulin resistance, and diabetes.     

Single nucleotide polymorphisms of the MCHR1 gene do not affect metabolism in humans

Melanin concentrating hormone receptor-1 (MCHR1) is a centrally and peripherally expressed receptor that regulates energy expenditure and appetite. Single nucleotide polymorphisms (SNPs) of the MCHR1 gene have been previously associated with obesity, but the results are inconsistent among different populations. This study was performed to determine whether SNPs of MCHR1 affect glucose and energy metabolism. We screened six SNPs of MCHR1 in a cross-sectional study of 217 middle-age, non-diabetic Finnish subjects who were offspring of type 2 diabetic patients. Insulin secretion was evaluated by an intravenous glucose tolerance test and insulin sensitivity and energy metabolism by the hyperinsulinemic euglycemic clamp and indirect calorimetry. SNPs of MCHR1 were not associated with BMI, waist circumference, subcutaneous or intra-abdominal fat area, glucose tolerance, first-phase insulin release, insulin sensitivity, or energy metabolism. One SNP, which was in >0.50 linkage disequilibrium with the other five SNPs, was also screened in 1455 unrelated Finnish middle-age subjects in a population-based study. No differences in BMI, waist circumference, or glucose or insulin levels in an oral glucose tolerance test among the genotypes were found. In conclusion, SNPs of MCHR1 did not have effects on metabolic variables in humans.     

Diabetes, the ice free corridor, and the Paleoindian settlement of North America

Since the 1940s, many Amerindian populations, including some with mixed Amerindian ancestry, have experienced an epidemic of obesity and adult-onset diabetes (NIDDM). Obesity and NIDDM were apparently rare among Amerindian populations prior to that time. Though the evidence is equivocal, obesity and NIDDM seem to be rare today among Athapaskan Amerindians of the North American Arctic, sub-Arctic, and Southwest. It is hypothesized that the Amerindian genotype(s) susceptible to obesity and NIDDM arose from selection favoring "thrifty" genes during the peopling of North America south of the continental glaciers. "Thrifty" genes (Neel: Am. J. Hum. Genet. 14:353-362, 1962) allowed a more efficient food metabolism as hunter-gatherers from an unusually harsh mid-latitude tundra environment (the "ice free" corridor) adapted to more typical mid-latitude environments to the south. The early Paleoindian settlement pattern from Wyoming to Arizona and Texas indicates a relatively brief period of reliance on unpredictable big game resources in lower elevations and smaller game and gathered resources in higher elevations. This unusual "specialist" settlement pattern may have resulted from the early Paleoindian's unfamiliarity with gathered foods and small game in lower elevations. Athapaskan populations evidently moved south from Beringia sometime after the Paleoindian migration when the "ice free" corridor had widened and contained environments and resources more typical of subarctic latitudes. Thus, Athapaskan hunter-gatherers could gradually adapt to the resources of lower latitudes such that "thrifty" genes would not have been as advantageous. The interaction of recently introduced "western" diets and "thrifty" genes have evidently led to today's epidemic of obesity and NIDDM among Amerindians of Paleoindian ancestry.     

Comparison of Genetic Variants in Cancer-Related Genes between Chinese Hui and Han Populations

Background

The Chinese Hui population, as the second largest minority ethnic group in China, may have a different genetic background from Han people because of its unique demographic history. In this study, we aimed to identify genetic differences between Han and Hui Chinese from the Ningxia region of China by comparing eighteen single nucleotide polymorphisms in cancer-related genes.

Methods

DNA samples were collected from 99 Hui and 145 Han people from the Ningxia Hui Autonomous Region in China, and SNPs were detected using an improved multiplex ligase detection reaction method. Genotyping data from six 1000 Genomes Project population samples (99 Utah residents with northern and western European ancestry (CEU), 107 Toscani in Italy (TSI), 108 Yoruba in Ibadan (YRI), 61 of African ancestry in the southwestern US (ASW), 103 Han Chinese in Beijing (CHB), and 104 Japanese in Tokyo (JPT)) were also included in this study. Differences in the distribution of alleles among the populations were assessed using χ² tests, and F_ST was used to measure the degree of population differentiation.

Results

We found that the genetic diversity of many SNPs in cancer-related genes in the Hui Chinese in Ningxia was different from that in the Han Chinese in Ningxia. For example, the allele frequencies of four SNPs (rs13361707, rs2274223, rs465498, and rs753955) showed different genetic distributions (p<0.05) between Chinese Ningxia Han and Chinese Ningxia Hui. Five SNPs (rs730506, rs13361707, rs2274223, rs465498 and rs753955) had different F_ST values (F_ST >0.000) between the Hui and Han populations.

Conclusions

These results suggest that some SNPs associated with cancer-related genes vary among different Chinese ethnic groups. We suggest that population differences should be carefully considered in evaluating cancer risk and prognosis as well as the efficacy of cancer therapy.     

Nutritional epigenomics of metabolic syndrome

The importance of epigenetic alterations has been acknowledged in cancer for about two decades by an increasing number of molecular oncologists who contributed to deciphering the epigenetic codes and machinery and opened the road for a new generation of drugs now in clinical trials. However, the relevance of epigenetics to common diseases such as metabolic syndrome and cardiovascular disease was less conspicuous. This review focuses on converging data supporting the hypothesis that, in addition to "thrifty genotype" inheritance, individuals with metabolic syndrome (MetS)--combining disturbances in glucose and insulin metabolism, excess of predominantly abdominally distributed weight, mild dyslipidemia and hypertension, with the subsequent development of obesity, type 2 diabetes mellitus (T2D) and cardiovascular disease (CVD)--have suffered improper "epigenetic programming" during their fetal/postnatal development due to maternal inadequate nutrition and metabolic disturbances and also during their lifetime. Moreover, as seen for obesity and T2D, MetS tends to appear earlier in childhood, to be more severe from generation to generation and to affect more pregnant women. Thus, in addition to maternal effects, MetS patients may display "transgenerational effects" via the incomplete erasure of epigenetic marks endured by their parents and grandparents. We highlight the susceptibility of epigenetic mechanisms controlling gene expression to environmental influences due to their inherent malleability, emphasizing the participation of transposable elements and the potential role of imprinted genes during critical time windows in epigenetic programming, from the very beginning of development throughout life. Increasing our understanding on epigenetic patterns significance and small molecules (nutrients, drugs) that reverse epigenetic (in)activation should provide us with the means to "unlock" silenced (enhanced) genes, and to "convert" the obsolete human thrifty genotype into a "squandering" phenotype.     

Genome‐wide association and genome partitioning reveal novel genomic regions underlying variation in gastrointestinal nematode burden in a wild bird

Identifying the genetic architecture underlying complex phenotypes is a notoriously difficult problem that often impedes progress in understanding adaptive eco‐evolutionary processes in natural populations. Host–parasite interactions are fundamentally important drivers of evolutionary processes, but a lack of understanding of the genes involved in the host's response to chronic parasite insult makes it particularly difficult to understand the mechanisms of host life history trade‐offs and the adaptive dynamics involved. Here, we examine the genetic basis of gastrointestinal nematode (Trichostrongylus tenuis) burden in 695 red grouse (Lagopus lagopus scotica) individuals genotyped at 384 genome‐wide SNPs. We first use genome‐wide association to identify individual SNPs associated with nematode burden. We then partition genome‐wide heritability to identify chromosomes with greater heritability than expected from gene content, due to harbouring a multitude of additive SNPs with individually undetectable effects. We identified five SNPs on five chromosomes that accounted for differences of up to 556 worms per bird, but together explained at best 4.9% of the phenotypic variance. These SNPs were closely linked to genes representing a range of physiological processes including the immune system, protein degradation and energy metabolism. Genome partitioning indicated genome‐wide heritability of up to 29% and three chromosomes with excess heritability of up to 4.3% (total 8.9%). These results implicate SNPs and novel genomic regions underlying nematode burden in this system and suggest that this phenotype is somewhere between being based on few large‐effect genes (oligogenic) and based on a large number of genes with small individual but large combined effects (polygenic).     

Eating, exercise, and "thrifty" genotypes: connecting the dots toward an evolutionary understanding of modern chronic diseases.

Survival of Homo sapiens during evolution was dependent on the procurement of food, which in turn was dependent on physical activity. However, food supply was never consistent. Thus it is contended that the ancient hunter-gatherer had cycles of feast and famine, punctuated with obligate periods of physical activity and rest. Hence, gene selection in the Late-Paleolithic era was probably influenced by physical activity and rest. To ensure survival during periods of famine, certain genes evolved to regulate efficient intake and utilization of fuel stores. Such genes were termed "thrifty genes" in 1962. Furthermore, convincing evidence shows that this ancient genome has remained essentially unchanged over the past 10,000 years and certainly not changed in the past 40-100 years. Although the absolute caloric intake of modern-day humans is likely lower compared with our hunter-gatherer ancestors, it is nevertheless in positive caloric balance in the majority of the US adult population mainly due to the increased sedentary lifestyle in present society. We contend that the combination of continuous food abundance and physical inactivity eliminates the evolutionarily programmed biochemical cycles emanating from feast-famine and physical activity-rest cycles, which in turn abrogates the cycling of certain metabolic processes, ultimately resulting in metabolic derangements such as obesity and Type 2 diabetes. In this context, we postulate that perhaps a crucial mechanism to break the stall of the metabolic processes would be via exercise through the regulation of "physical activity genes," some of which may also be potential candidates for the "thrifty genes" of our hunter-gatherer ancestors. Therefore, the identification of such "thrifty gene" candidates would help provide insight into the pathogenetic processes of the numerous physical inactivity-mediated disorders.     

The zebrafish genome in context: ohnologs gone missing

Some zebrafish genes appear to lack an ortholog in the human genome and researchers often call them "novel" genes. The origin of many so-called "novel" genes becomes apparent when considered in the context of genome duplication events that occurred during evolution of the phylum Chordata, including two rounds at about the origin of the subphylum Vertebrata (R1 and R2) and one round before the teleost radiation (R3). Ohnologs are paralogs stemming from such genome duplication events, and some zebrafish genes said to be "novel" are more appropriately interpreted as "ohnologs gone missing", cases in which ohnologs are preserved differentially in different evolutionary lineages. Here we consider ohnologs present in the zebrafish genome but absent from the human genome. Reasonable hypotheses are that lineage-specific loss of ohnologs can play a role in establishing lineage divergence and in the origin of developmental innovations. How does the evolution of ohnologs differ from the evolution of gene duplicates arising from other mechanisms, such as tandem duplication or retrotransposition? To what extent do different major vertebrate lineages or different teleost lineages differ in ohnolog content? What roles do differences in ohnolog content play in the origin of developmental mechanisms that differ among lineages? This review explores these questions.     

A nonadaptive scenario explaining the genetic predisposition to obesity: the "predation release" hypothesis

The "thrifty gene hypothesis" suggests we evolved genes for efficient food collection and fat deposition to survive periods of famine and that now that food is continuously available, these genes are disadvantageous because they make us obese in preparation for a famine that never comes. However, famines are relatively infrequent modern phenomena that involve insufficient mortality for thrifty genes to propagate. I suggest here that early hominids would have been subjected to stabilizing selection for body fatness, with obesity selected against by the risk of predation. Around two million years ago predation was removed as a significant factor by the development of social behavior, weapons, and fire. The absence of predation led to a change in the population distribution of body fatness due to random mutations and drift. Because this novel hypothesis involves random drift, rather than directed selection, it explains why, even in Western society, most people are not obese.     

Current limitations of SNP data from the public domain for studies of complex disorders: a test for ten candidate genes for obesity and osteoporosis

Background

Public SNP databases are frequently used to choose SNPs for candidate genes in the association and linkage studies of complex disorders. However, their utility for such studies of diseases with ethnic-dependent background has never been evaluated.

Results

To estimate the accuracy and completeness of SNP public databases, we analyzed the allele frequencies of 41 SNPs in 10 candidate genes for obesity and/or osteoporosis in a large American-Caucasian sample (1,873 individuals from 405 nuclear families) by PCR-invader assay. We compared our results with those from the databases and other published studies. Of the 41 SNPs, 8 were monomorphic in our sample. Twelve were reported for the first time for Caucasians and the other 29 SNPs in our sample essentially confirmed the respective allele frequencies for Caucasians in the databases and previous studies. The comparison of our data with other ethnic groups showed significant differentiation between the three major world ethnic groups at some SNPs (Caucasians and Africans differed at 3 of the 18 shared SNPs, and Caucasians and Asians differed at 13 of the 22 shared SNPs). This genetic differentiation may have an important implication for studying the well-known ethnic differences in the prevalence of obesity and osteoporosis, and complex disorders in general.

Conclusion

A comparative analysis of the SNP data of the candidate genes obtained in the present study, as well as those retrieved from the public domain, suggests that the databases may currently have serious limitations for studying complex disorders with an ethnic-dependent background due to the incomplete and uneven representation of the candidate SNPs in the databases for the major ethnic groups. This conclusion attests to the imperative necessity of large-scale and accurate characterization of these SNPs in different ethnic groups.     

Targeted next-generation sequencing for identifying genes related to horse temperament

It is a fundamental challenge to discover the association of genetic traits with phenotypic traits. In this study, we aimed to identify possible genetic traits related to horse temperament. Based on previous findings, we selected 71 candidate genes related to temperamental trait and examined them in the human and horse reference genomes (hg38 and equCab2, respectively). We found 16 orthologous genes and, by comparing with the human reference genome, 17 homologous genes in the horse reference genome. We designed probes specific for the 33 horse genes. Using the probes, we built sequencing libraries of the genomic DNA samples from eight aggressive and eight docile horses, and sequenced the constructed libraries using the Illumina Hiseq2500 platform. Through the analysis of the targeted exome sequences, we identified single nucleotide polymorphisms (SNPs) in the genes. SNPs could be served as genetic markers to evaluate aggressive or docile levels of horses. To examine whether any genetic variants are associated with horse temperament, we performed genome-wide association study (GWAS) using the SNP data. GWAS analysis identified ten variants (p-value?<0.05) which could be related to horse temperament. We validated the variants using Sanger sequencing. The most significant variants were found in MAOA (c.1164+41T>C) and AR (c.1047+27G>T) genes with 8.09?×?10^?4 p-value. We suggest that the variants might be used to assess horse temperament and to determine superior horses for riding or racing.     

Genome-wide association study of <Emphasis Type="Italic">Mycobacterium avium</Emphasis> subspecies <Emphasis Type="Italic">Paratuberculosis</Emphasis> infection in Chinese Holstein

Background

Paratuberculosis is a contagious, chronic and enteric disease in ruminants, which is caused by Mycobacterium avium subspecies paratuberculosis (MAP) infection, resulting in enormous economic losses worldwide. There is currently no effective cure for MAP infection or a vaccine, it is thus important to explore the genetic variants that contribute to host susceptibility to infection by MAP, which may provide a better understanding of the mechanisms of paratuberculosis and benefit animal genetic improvement. Herein we performed a genome-wide association study (GWAS) to identify genomic regions and candidate genes associated with susceptibility to MAP infection in dairy cattle.

Results

Using Illumina Bovine 50?K (54,609 SNPs) and GeneSeek HD (138,893 SNPs) chips, two analytical approaches were performed, GRAMMAR-GC and ROADTRIPS in 937 Chinese Holstein cows, among which individuals genotyped by the 50?K chip were imputed to HD SNPs with Beagle software. Consequently, 15 and 11 significant SNPs (P?<?5?×?10^??5) were identified with GRAMMAR-GC and ROADTDRIPS, respectively. A total of 10 functional genes were in proximity to (i.e., within 1?Mb) these SNPs, including IL4, IL5, IL13, IRF1, MyD88, PACSIN1, DEF6, TDP2, ZAP70 and CSF2. Functional enrichment analysis showed that these genes were involved in immune related pathways, such as interleukin, T cell receptor signaling pathways and inflammatory bowel disease (IBD), implying their potential associations with susceptibility to MAP infection. In addition, by examining the publicly available cattle QTLdb, a previous QTL for MAP was found to be overlapped with one of regions detected currently at 32.5?Mb on BTA23, where the TDP2 gene was anchored.

Conclusions

In conclusion, we identified 26 SNPs located on 15 chromosomes in the Chinese Holstein population using two GWAS strategies with high density SNPs. Integrated analysis of GWAS, biological functions and the reported QTL information helps to detect positional candidate genes and the identification of regions associated with susceptibility to MAP traits in dairy cattle.

     

Genotyping panel for assessing response to cancer chemotherapy

Background

Variants in numerous genes are thought to affect the success or failure of cancer chemotherapy. Interindividual variability can result from genes involved in drug metabolism and transport, drug targets (receptors, enzymes, etc), and proteins relevant to cell survival (e.g., cell cycle, DNA repair, and apoptosis). The purpose of the current study is to establish a flexible, cost-effective, high-throughput genotyping platform for candidate genes involved in chemoresistance and -sensitivity, and treatment outcomes.

Methods

We have adopted SNPlex for genotyping 432 single nucleotide polymorphisms (SNPs) in 160 candidate genes implicated in response to anticancer chemotherapy.

Results

The genotyping panels were applied to 39 patients with chronic lymphocytic leukemia undergoing flavopiridol chemotherapy, and 90 patients with colorectal cancer. 408 SNPs (94%) produced successful genotyping results. Additional genotyping methods were established for polymorphisms undetectable by SNPlex, including multiplexed SNaPshot for CYP2D6 SNPs, and PCR amplification with fluorescently labeled primers for the UGT1A1 promoter (TA)nTAA repeat polymorphism.

Conclusion

This genotyping panel is useful for supporting clinical anticancer drug trials to identify polymorphisms that contribute to interindividual variability in drug response. Availability of population genetic data across multiple studies has the potential to yield genetic biomarkers for optimizing anticancer therapy.     

SNP analysis of genes related to cholesterol metabolism and associated with late-onset Alzheimer’s disease

Late onset Alzheimer’s disease (LOAD) is the most common type of dementia and is characterized by impaired cholesterol homeostasis. Genome-wide association studies (GWAS) have shown that APOE, TOMM40, CLU, SORL1, PICALM, and BIN1 are related to cholesterol metabolism. To characterize the association between single-nucleotide polymorphisms (SNPs) and LOAD, we sequenced the SNP regions of the identified genes in a total of 11 LOAD cases and 12 healthy case controls in the Korean population. The SNP data showed a relatively high frequency in LOAD samples compared to the control samples. LOAD samples showed an average of 2.9 SNPs, whereas normal controls showed an average of 1.5 SNPs in the genes. Taken together, six genes associated with cholesterol metabolism using SNP analysis have shown frequent genetic variations in LOAD.     

Down-regulated energy metabolism genes associated with mitochondria oxidative phosphorylation and fatty acid metabolism in viral cardiomyopathy mouse heart

The majority of experimental and clinical studies indicates that the hypertrophied and failing myocardium are characterized by changes in energy and substrate metabolism that attributed to failing heart changes at the genomic level, in fact, heart failure is caused by various diseases, their energy metabolism and substrate are in different genetic variations, then the potential significance of the molecular mechanisms for the aetiology of heart failure is necessary to be evaluated. Persistent viral infection (especially coxsackievirus group B3) of the myocardium in viral myocarditis and viral dilated cardiomyopathy has never been neglected by experts. This study aimed to explore the role and regulatory mechanism of the altered gene expression for energy metabolism involved in mitochondrial oxidative phosphorylation, fatty acid metabolism in viral dilated cardiomyopathy. cDNA Microarray technology was used to evaluate the expression of >35,852 genes in a mice model of viral dilated cardiomyopathy. In total 1385 highly different genes expression, we analyzed 33 altered genes expression for energy metabolism involved in mitochondrial oxidative phosphorylation, fatty acid metabolism and further selected real-time-PCR for quantity one of regulatory mechanisms for energy including fatty acid metabolism—the UCP2 and assayed cytochrome C oxidase activity by Spectrophotometer to explore mitochondrial oxidative phosphorylation function. We found obviously different expression of 33 energy metabolism genes associated with mitochondria oxidative phosphorylation, fatty acid metabolism in cardiomyopathy mouse heart, the regulatory gene for energy metabolism: UCP2 was down-regulated and cytochrome C oxidase activity was decreased. Genes involved in both fatty acid metabolism and mitochondrial oxidative phosphorylation were down-regulated, mitochondrial uncoupling proteins (UCP2) expression did not increase but decrease which might be a kind of adaptive protection response to regulate energy metabolism for ATP produce.