Dataset Information

Integration of Distinct Analysis Strategies Improves Tissue-Trait Association Identification.

ABSTRACT: Integrating genome-wide association studies (GWAS) with transcriptomic data, human complex traits and diseases have been linked to relevant tissues and cell types using different methods. However, different results from these methods generated confusion while no gold standard is currently accepted, making it difficult to evaluate the discoveries. Here, applying three methods on the same data source, we estimated the sensitivity and specificity of these methods in the absence of a gold standard. We established a more specific tissue-trait association atlas by combining the information captured by different methods. Our triangulation strategy improves the performance of existing methods in establishing tissue-trait associations. The results provide better etiological and functional insights for the tissues underlying different human complex traits and diseases.

SUBMITTER: Yang Z

PROVIDER: S-EPMC9014299 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Integration of Distinct Analysis Strategies Improves Tissue-Trait Association Identification.

Yang Zhijian Z Xu Wenzheng W Zhai Ranran R Li Ting T Ning Zheng Z Pawitan Yudi Y Shen Xia X

Frontiers in genetics 20220329

Integrating genome-wide association studies (GWAS) with transcriptomic data, human complex traits and diseases have been linked to relevant tissues and cell types using different methods. However, different results from these methods generated confusion while no gold standard is currently accepted, making it difficult to evaluate the discoveries. Here, applying three methods on the same data source, we estimated the sensitivity and specificity of these methods in the absence of a gold standard. ...[more]

PMID: 35444688

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Project description:From a breeding standpoint, multiple trait integration (MTI) is a four-step process of converting an elite variety/hybrid for value-added traits (e.g. transgenic events) using backcross breeding, ultimately regaining the performance attributes of the target hybrid along with reliable expression of the value-added traits. In the light of the overarching goal of recovering equivalent performance in the finished conversion, this study focuses on the first step of MTI, single event introgression, exploring the feasibility of marker-aided backcross conversion of a target maize hybrid for 15 transgenic events, incorporating eight events into the female hybrid parent and seven into the male parent. Single event introgression is conducted in parallel streams to convert the recurrent parent (RP) for individual events, with the primary objective of minimizing residual non-recurrent parent (NRP) germplasm, especially in the chromosomal proximity to the event (i.e. linkage drag). In keeping with a defined lower limit of 96.66 % overall RP germplasm recovery (i.e. ≤120 cM NRP germplasm given a genome size of 1,788 cM), a breeding goal for each of the 15 single event conversions was developed: <8 cM of residual NRP germplasm across the genome with ~1 cM in the 20 cM region flanking the event. Using computer simulation, we aimed to identify optimal breeding strategies for single event introgression to achieve this breeding goal, measuring efficiency in terms of number of backcross generations required, marker data points needed, and total population size across generations. Various selection schemes classified as three-stage, modified two-stage, and combined selection conducted from BC1 through BC3, BC4, or BC5 were compared. The breeding goal was achieved with a selection scheme involving five generations of marker-aided backcrossing, with BC1 through BC3 selected for the event of interest and minimal linkage drag at population size of 600, and BC4 and BC5 selected for the event of interest and recovery of the RP germplasm across the genome at population size of 400, with selection intensity of 0.01 for all generations. In addition, strategies for choice of donor parent to facilitate conversion efficiency and quality were evaluated. Two essential criteria for choosing an optimal donor parent for a given RP were established: introgression history showing reduction of linkage drag to ~1 cM in the 20 cM region flanking the event and genetic similarity between the RP and potential donor parents. Computer simulation demonstrated that single event conversions with <8 cM residual NRP germplasm can be accomplished by BC5 with no genetic similarity, by BC4 with 30 % genetic similarity, and by BC3 with 86 % genetic similarity using previously converted RPs as event donors. This study indicates that MTI to produce a 'quality' 15-event-stacked hybrid conversion is achievable. Furthermore, it lays the groundwork for a comprehensive approach to MTI by outlining a pathway to produce appropriate starting materials with which to proceed with event pyramiding and trait fixation before version testing.

Project description:Purpose: The goals of this study are to identify Mutator insertion sites and determine the affect of these insertions on nearby genes Methods: Wiseq-based Mu element profiling was performed as described previously using B73/Mo17 F1 hybrid progeny seedlings. The B73 parent was carried Mutator activity that had been introgressed into the B73 genetic background. The Mo17 parent lacked active Mu elements. Thus, all new insertions were into the B73 genome. Genomic DNA was extracted from 6-day-old seedlings of B73/Mo17 hybrid plants. Amplicon-based enrichment of Mu flanking DNA was then performed. The purified PCR products were subject to Miseq-based Wideseq pipeline at Purdue Genomics Core Facility (https://www.purdue.edu/hla/sites/genomics/wideseq-2/). Wideseq reads were mapped to the B73 reference genome as described previously. By identifying the Mu target site duplications (TSDs), a set of genes targeted by Mu insertions that segregated in hybrid progeny was obtained and those containing B73/Mo17 SNPs in their mRNA sequences were used for allele-specific expression analysis. Because new insertions were into the B73 genome, the effect of these insertions would be expected to be specific in all cases to the B73 allele. To quantify the allele frequency, we performed RT-PCR followed by Wideseq from the identical shoot tissues of the hybrid seedlings mentioned above. Total RNA was extracted using the RNA Extraction Kit (Zymo) and cDNAs were synthesized using Promega M-MLV Reverse Transcriptase. For for a subset of 16 genes that carried SNPs, RNA fragments containing B73/Mo17 SNPs were amplified by RT-PCR. Libraries were prepared using an mRNA preparation kit (Illumina) following a standard protocol (https://www.purdue.edu/hla/sites/genomics/wi-deseq-2/). The RT-PCR products were then sequenced by the “WideSeq” pipeline. Results: A knockdown index was deduced by normalizing the observed ratio to that observed in genes that lacked Mu insertions in both genetic backgrounds for each insertion. We found that none of the four promoter insertions changed the expression of nearby genes. A quarter of 5’ UTR insertions (5 out of 20) caused knockout or strong knockdown effects and one of seven intronic insertions resulted in a knockout effect. Collectively, of a total of 33 Mu insertions, all of which were within 200 bp of genes, only 11 significantly reduced gene expression, and only two knocked it out completely. Conclusions: These results indicate that that Mu element insertions near TSSs of host genes are often associated with quantitative and in many cases neglectable functional consequences on nearby gene expression.

Dataset Information

Integration of Distinct Analysis Strategies Improves Tissue-Trait Association Identification.

Publications

Integration of Distinct Analysis Strategies Improves Tissue-Trait Association Identification.

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