High-coverage whole-genome sequencing of the expanded 1000 Genomes Project cohort including 602 trios

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Variant discovery in a QTL region on chromosome 3 associated with fatness in chickens

Abdominal fat content is an economically important trait in commercially bred chickens. Although many quantitative trait loci (QTL) related to fat deposition have been detected, the resolution for these regions is low and functional variants are still unknown. The current study was conducted aiming at increasing resolution for a region previously shown to have a QTL associated with fat deposition, to detect novel variants from this region and to annotate those variants to delineate potentially functional ones as candidates for future studies. To achieve this, 18 chickens from a parental generation used in a reciprocal cross between broiler and layer lines were sequenced using the Illumina next‐generation platform with an initial coverage of 18X/chicken. The discovery of genetic variants was performed in a QTL region located on chromosome 3 between microsatellite markers LEI0161 and ADL0371 (33 595 706–42 632 651 bp). A total of 136 054 unique SNPs and 15 496 unique INDELs were detected in this region, and after quality filtering, 123 985 SNPs and 11 298 INDELs were retained. Of these variants, 386 SNPs and 15 INDELs were located in coding regions of genes related to important metabolic pathways. Loss‐of‐function variants were identified in several genes, and six of those, namely LOC771163, EGLN1, GNPAT, FAM120B, THBS2 and GGPS1, were related to fat deposition. Therefore, these loss‐of‐function variants are candidate mutations for conducting further studies on this important trait in chickens.     

A new mutational mechanism for hypertrophic cardiomyopathy

We describe a male patient affected by hypertrophic cardiomyopathy (HCM) with no point mutations in the eight sarcomeric genes most commonly involved in the disease. By multiple ligation-dependent probe amplification (MLPA) we have identified a multi-exons C-terminus deletion in the cardiac myosin binding protein C (MYBPC3) gene. The rearrangement has been confirmed by long PCR and breakpoints have been defined by sequencing. The 3.5kb terminal deletion is mediated by Alu-repeat elements and is predicted to result in haploinsufficiency of MYBPC3. To exclude the presence of other rare pathogenic variants in additional HCM genes, we performed targeted next-generation sequencing (NGS) of 88 cardiomyopathy-associated genes but we did not identify any further mutation. Interestingly, the MYBPC3 multi-exons deletion was detectable by NGS. This finding broadens the range of mutational spectrum observed in HCM, contributing to understanding the genetic basis of the most common inherited cardiovascular disease. Moreover, our data suggest that NGS may represent a new tool to achieve a deeper insight into molecular basis of complex diseases, allowing to detect in a single experiment both point mutations and gene rearrangements.     

INDEL variation in the regulatory region of the major flowering time gene LanFTc1 is associated with vernalization response and flowering time in narrow‐leafed lupin (Lupinus angustifolius L.)

Narrow‐leafed lupin (Lupinus angustifolius L.) cultivation was transformed by 2 dominant vernalization‐insensitive, early flowering time loci known as Ku and Julius (Jul), which allowed expansion into shorter season environments. However, reliance on these loci has limited genetic and phenotypic diversity for environmental adaptation in cultivated lupin. We recently predicted that a 1,423‐bp deletion in the cis‐regulatory region of LanFTc1, a FLOWERING LOCUS T (FT) homologue, derepressed expression of LanFTc1 and was the underlying cause of the Ku phenotype. Here, we surveyed diverse germplasm for LanFTc1 cis‐regulatory variation and identified 2 further deletions of 1,208 and 5,162 bp in the 5' regulatory region, which overlap the 1,423‐bp deletion. Additionally, we confirmed that no other polymorphisms were perfectly associated with vernalization responsiveness. Phenotyping and gene expression analyses revealed that Jul accessions possessed the 5,162‐bp deletion and that the Jul and Ku deletions were equally capable of removing vernalization requirement and up‐regulating gene expression. The 1,208‐bp deletion was associated with intermediate phenology, vernalization responsiveness, and gene expression and therefore may be useful for expanding agronomic adaptation of lupin. This insertion/deletion series may also help resolve how the vernalization response is mediated at the molecular level in legumes.     

Association and in silico investigations of miR-302c insertion/deletion variant as a novel biomarker with susceptibility to gastric cancer

Gastric cancer (GC) is the fifth most prevalent malignant tumor and the third most frequent cause of cancer mortality worldwide. rs199971565 is an insertion/deletion (INDEL) located in microRNA-302c (miR-302c) seed site, which may affect its function and biogenesis. There is no genetic association study investigating this INDEL with any disease till now. Thus, the current study was conducted to investigate the association of rs199971565 with susceptibility to GC in an Iranian population. In addition, in silico studies were performed to reveal the possible functional significance of this INDEL. A total of 378 subjects were genotyped through amplification refractory mutation system PCR (ARMS-PCR) after DNA extraction from peripheral blood by the salting out procedure. Also, in silico analyses were performed through databases and web tools including MiRNASNP V2.0, miRWalk V2.0, miRTarBase, DAVID V6.8, RNAfold, PHDcleave, miRmap, and STarMir. Results revealed that there was an association between rs199971565 and the incidence risk of GC under a recessive (P = .04, odds ratio [OR] = 18.73; 95% confidence interval [CI] = 1.07-326.95) model of inheritance. Also, compared to the Ins allele, the Del allele significantly increased the risk of GC (P = .01, OR = 2.02; 95% CI = 1.11-3.66). Further analyses showed no significant association in age and sex between two study groups (P = .216 and P = .798, respectively). In conclusion, for the first time, this study indicated the association and in silico investigations of rs199971565 and suggested it as a novel INDEL biomarker located in the seed site of miR-302c, which may have crucial roles in the susceptibility to GC and its incidence risk.     

A platform of high‐density INDEL/CAPS markers for map‐based cloning in Arabidopsis

Map‐based cloning has been widely used to identify genes responsible for mutant phenotypes in Arabidopsis, especially those mutants generated by EMS or fast neutron mutagenesis. The success of map‐based cloning relies on the availability of molecular markers that distinguish the polymorphisms between two Arabidopsis ecotypes. So far, most molecular markers in Arabidopsis have been generated by individual laboratories or the Arabidopsis Information Resource (TAIR). However, the TAIR markers, which are distributed unevenly on the five Arabidopsis chromosomes, only cover approximately 25% of the Arabidopsis BACs. Designing and testing molecular markers is still a time‐consuming endeavor. Here we report the construction of a high‐resolution BAC‐based Arabidopsis mapping platform (AMP), using Col‐0 and Ler as model ecotypes. The AMP comprises 1346 markers (1073 INDEL and 273 CAPS/dCAPS markers), of which 971 were newly designed and experimentally confirmed, 179 were from published papers and 196 were TAIR markers. These AMP markers cover 1186 BACs, 1121 of which are in non‐centromere regions, representing approximately 75% of the Arabidopsis BACs in non‐centromere regions. All the marker information is included on the AMP website ( http://amp.genomics.org.cn/ ) for easy access and download, and sets of standard markers for initial chromosomal localization of a particular gene are recommended. The feasibility of using the AMP to map mutated genes is also discussed.     

The distribution and mutagenesis of short coding INDELs from 1,128 whole exomes

Background

Identifying insertion/deletion polymorphisms (INDELs) with high confidence has been intrinsically challenging in short-read sequencing data. Here we report our approach for improving INDEL calling accuracy by using a machine learning algorithm to combine call sets generated with three independent methods, and by leveraging the strengths of each individual pipeline. Utilizing this approach, we generated a consensus exome INDEL call set from a large dataset generated by the 1000 Genomes Project (1000G), maximizing both the sensitivity and the specificity of the calls.

Results

This consensus exome INDEL call set features 7,210 INDELs, from 1,128 individuals across 13 populations included in the 1000 Genomes Phase 1 dataset, with a false discovery rate (FDR) of about 7.0%.

Conclusions

In our study we further characterize the patterns and distributions of these exonic INDELs with respect to density, allele length, and site frequency spectrum, as well as the potential mutagenic mechanisms of coding INDELs in humans.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-015-1333-7) contains supplementary material, which is available to authorized users.     

The Search for Cancer Biomarkers: Assessing the Distribution of INDEL Markers in Different Genetic Ancestries

Cancer is a multifactorial group of diseases, being highly incident and one of the leading causes of death worldwide. In Brazil, there is a great variation in cancer incidence and impact among the different geographic regions, partly due to the genetic heterogeneity of the population in this country, composed mainly by European (EUR), Native American (NAM), African (AFR), and Asian (ASN) ancestries. Among different populations, genetic markers commonly present diverse allelic frequencies, but in admixed populations, such as the Brazilian population, data is still limited, which is an issue that might influence cancer incidence. Therefore, we analyzed the allelic and genotypic distribution of 12 INDEL polymorphisms of interest in populations from the five Brazilian geographic regions and in populations representing EUR, NAM, AFR, and ASN, as well as tissue expression in silico. Genotypes were obtained by multiplex PCR and the statistical analyses were done using R, while data of tissue expression for each marker was extracted from GTEx portal. We highlight that all analyzed markers presented statistical differences in at least one of the population comparisons, and that we found 39 tissues to be differentially expressed depending on the genotype. Here, we point out the differences in genotype distribution and gene expression of potential biomarkers for risk of cancer development and we reinforce the importance of this type of study in populations with different genetic backgrounds.     

Yet Another Quick Assembly,Analysis and Trimming Tool (YAQAAT): A Server for the Automated Assembly and Analysis of Sanger Sequencing Data

Even with the ubiquity of Sanger sequencing, automated assembly software are predominantly stand-alone software packages for desktop/laptop use with very few online equivalents, thus geospatially constraining sequence analysis and assembly. With increased data output worldwide, there is also a need for automated quality checks and trimming prior to large assemblies, along with automated detection of mutations. Through web servers with expanded automation and functionalities, even smartphones/phablets can be used to perform complex analysis previously limited to desktops, especially if they can upload files from cloud storage. To facilitate such online accessible sequence assembly and analysis, we created Yet Another Quick Assembly, Analysis and Trimming Tool web server for the automated assembly of multiple .ab1 and .FASTQ sequencing reads de novo with automated trimming and scanning of the assembled sequences for single nucleotide polymorphisms and insertions or deletions without installation of software, allowing it to be accessed from anywhere with Internet access and with minimal dependency on other software and web tools.