Evaluation of whole genome amplification methods using postmortem brain samples

The effectiveness of various strategies to improve DNA analysis of formaldehyde-damaged tissues from embalmed cadavers for human identification purposes

Formalin-fixed tissues provide the medical and forensic communities with alternative and often last resort sources of DNA for identification or diagnostic purposes. The DNA in these samples can be highly degraded and chemically damaged, making downstream genotyping using short tandem repeats (STRs) challenging. Therefore, the use of alternative genetic markers, methods that pre-amplify the low amount of good quality DNA present, or methods that repair the damaged DNA template may provide more probative genetic information. This study investigated whether whole genome amplification (WGA) and DNA repair could improve STR typing of formaldehyde-damaged (FD) tissues from embalmed cadavers. Additionally, comparative genotyping success using bi-allelic markers, including INDELs and SNPs, was explored. Calculated random match probabilities (RMPs) using traditional STRs, INDEL markers, and two next generation sequencing (NGS) panels were compared across all samples. Overall, results showed that neither WGA nor DNA repair substantially improved STR success rates from formalin-fixed tissue samples. However, when DNA from FD samples was genotyped using INDEL and SNP-based panels, the RMP of each sample was markedly lower than the RMPs calculated from partial STR profiles. Therefore, the results of this study suggest that rather than attempting to improve the quantity and quality of severely damaged and degraded DNA prior to STR typing, a more productive approach may be to target smaller amplicons to provide more discriminatory DNA identifications. Furthermore, an NGS panel with less loci may yield better results when examining FD samples, due to more optimized chemistries that result in greater allelic balance and amplicon coverage.

Understanding preanalytical variables and their effects on clinical biomarkers of oncology and immunotherapy

Identifying a suitable course of immunotherapy treatment for a given patient as well as monitoring treatment response is heavily reliant on biomarkers detected and quantified in blood and tissue biospecimens. Suboptimal or variable biospecimen collection, processing, and storage practices have the potential to alter clinically relevant biomarkers, including those used in cancer immunotherapy. In the present review, we summarize effects reported for immunologically relevant biomarkers and highlight preanalytical factors associated with specific analytical platforms and assays used to predict and gauge immunotherapy response. Given that many of the effects introduced by preanalytical variability are gene-, transcript-, and protein-specific, biospecimen practices should be standardized and validated for each biomarker and assay to ensure accurate results and facilitate clinical implementation of newly identified immunotherapy approaches.

A systematic evaluation of whole genome amplification of bisulfite-modified DNA

Background

Studying DNA methylation profiles in detail should be the first step in epigenetic research. Although sodium bisulfite modification of genomic DNA is the gold standard method for DNA methylation analysis, this method results in the loss of the majority of the DNA material. Whole genome amplification (WGA) of bisulfite-modified DNA is expected to provide a rich source of materials, but its validity has not been thoroughly evaluated. In this study, we evaluated the extent of biased amplification in the WGA of bisulfite-modified DNA and the reproducibility of independent WGA reactions. We performed the multiple displacement amplification-based WGA separately three times. Each experiment included two reactions using 10 or 50 ng of bisulfite-modified DNA as template. DNA methylation levels were compared between WGA products and original bisulfite-modified DNA at about 450,000 CpG sites.

Results

Using a sufficient amount of bisulfite-modified DNA for WGA was critical for downstream application. The considerable deviations from original bisulfite-modified DNA were found in the middle range of DNA methylation levels. Distribution of hyper- and hypomethylation were equal, which suggested that the deviation at each CpG site occurred randomly. Averaging the data from independently amplified WGA products dramatically improved the overall quality.

Conclusions

WGA of bisulfite-modified DNA could be a valuable tool for epigenetic research, but careful experimental design and data interpretation are required.

Single-nucleotide polymorphism array coupled with multiple displacement amplification: accuracy and spatial resolution for analysis of chromosome copy numbers in few cells

When coupled with multiple displacement amplification (MDA), microarray-based comparative genomic intensity allows detection of chromosome copy number aberrations even in single or few cells, but the actual performance of the system and their influencing factors have not been well defined. Here, using single-nucleotide polymorphism (SNP) array, we analyzed copy number profiles from DNA amplified by MDA in 1-10 cells and estimated the accuracy and spatial resolution of the analysis. Based on the concordance of SNP copy numbers for DNA with and without MDA, the accuracy of the system can be significantly enhanced by using MDA-amplified DNA as reference and also by increasing the cell numbers. Analyses under different smoothing treatments revealed a practical resolution of 2 Mb for 10 cells and 10 Mb for a single cell. When both cells with known chromosomal duplication and deletion were analyzed, this platform detected a copy number "loss" more accurately than a "gain" (P < 0.01), particularly in single-cell MDA products. Together, we demonstrated that SNP array coupled with MDA is reliable and efficient for detection of copy number aberrations in a small number of cells, and its accuracy and resolution can both be significantly enhanced with increasing the number of cells as MDA template.

Survey of the effect of genetic variations on gene expression in human prefrontal cortex and its application to genetics of psychiatric disorders

Identifying the genetic basis of gene expression variation in the human brain is important for understanding brain physiology and pathophysiology. We investigated the genetic basis of gene expression variation in human prefrontal cortex using single nucleotide polymorphisms (SNPs) and taking into consideration brain sample pH. From approximately 12,000 brain-expressed transcripts, we identified 187 cis-regulated transcripts. Some of the transcripts were identified as cis-regulated in the lymphoblastoid cells or lymphocytes, which suggests common cis-regulation across different tissues. Knowledge of genetic variations contributing to differences in gene expression in the brain would be particularly useful in the study of neuropsychiatric disorders in combination with a large-scale genome-wide association study. Using Wellcome Trust Case Control Consortium association study data, we identified SNPs associated with bipolar disorder and gene expression variation in the human brain. We found that SNPs in the AKAP10 and PRKCI genes are significantly associated with bipolar disorder and gene expression variation.

A genotype resource for postmortem brain samples from the Autism Tissue Program

The Autism Tissue Program (ATP), a science program of Autism Speaks, provides researchers with access to well-characterized postmortem brain tissues. Researchers access these tissues through a peer-reviewed, project-based approval process, and obtain related clinical information from a secure, online informatics portal. However, few of these samples have DNA banked from other sources (such as a blood sample from the same individual), hindering genotype-phenotype correlation and interpretation of gene expression data derived from the banked brain tissue. Here, we describe an initiative to extract DNA from Brodmann Area 19, and genotype these samples using both the Affymetrix Genome-Wide Human SNP Array 6.0 and the Illumina Human1M-Duo DNA Analysis BeadChip genome-wide microarray technologies. We additionally verify reported gender, and infer ethnic background from the single nucleotide polymorphism data. We have also used a rigorous, multiple algorithm approach to identify genomic copy number variation (CNV) from these array data. Following an initial proof of principle study using two samples, 52 experimental samples, consisting of 27 subjects with confirmed or suspected autism and related disorders, 5 subjects with cytogenetically visible duplications of 15q, 2 with epilepsy and 18 age-matched normal controls were processed, yielding high-quality genotype data in all cases. The genotype and CNV data are provided via the ATP informatics portal as a resource for the autism research community.

Genome-wide association study of the four-constitution medicine

BACKGROUND

Four-constitution medicine (FCM), also known as Sasang constitutional medicine, and the heritage of the long history of individualized acupuncture medicine tradition, is one of the holistic and traditional systems of constitution to appraise and categorize individual differences into four major types.

OBJECTIVE

This study first reports a genome-wide association study on FCM, to explore the genetic basis of FCM and facilitate the integration of FCM with conventional individual differences research.

DESIGN

Healthy individuals of the Korean population were classified into the four constitutional types (FCTs). A total of 353,202 single nucleotide polymorphisms (SNPs) were typed using whole genome amplified samples, and six-way comparison of FCM types provided lists of significantly differential SNPs.

RESULTS

In one-to-one FCT comparisons, 15,944 SNPs were significantly differential, and 5 SNPs were commonly significant in all of the three comparisons. In one-to-two FCT comparisons, 22,616 SNPs were significantly differential, and 20 SNPs were commonly significant in all of the three comparison groups.

CONCLUSIONS

This study presents the association between genome-wide SNP profiles and the categorization of the FCM, and it could further provide a starting point of genome-based identification and research of the constitutions of FCM.

Resolving the evolution of extant and extinct ruminants with high-throughput phylogenomics

The Pecorans (higher ruminants) are believed to have rapidly speciated in the Mid-Eocene, resulting in five distinct extant families: Antilocapridae, Giraffidae, Moschidae, Cervidae, and Bovidae. Due to the rapid radiation, the Pecoran phylogeny has proven difficult to resolve, and 11 of the 15 possible rooted phylogenies describing ancestral relationships among the Antilocapridae, Giraffidae, Cervidae, and Bovidae have each been argued as representations of the true phylogeny. Here we demonstrate that a genome-wide single nucleotide polymorphism (SNP) genotyping platform designed for one species can be used to genotype ancient DNA from an extinct species and DNA from species diverged up to 29 million years ago and that the produced genotypes can be used to resolve the phylogeny for this rapidly radiated infraorder. We used a high-throughput assay with 54,693 SNP loci developed for Bos taurus taurus to rapidly genotype 678 individuals representing 61 Pecoran species. We produced a highly resolved phylogeny for this diverse group based upon 40,843 genome-wide SNP, which is five times as many informative characters as have previously been analyzed. We also establish a method to amplify and screen genomic information from extinct species, and place Bison priscus within the Bovidae. The quality of genotype calls and the placement of samples within a well-supported phylogeny may provide an important test for validating the fidelity and integrity of ancient samples. Finally, we constructed a phylogenomic network to accurately describe the relationships between 48 cattle breeds and facilitate inferences concerning the history of domestication and breed formation.

Detection of chromosomal structural alterations in single cells by SNP arrays: a systematic survey of amplification bias and optimized workflow

BACKGROUND

In single-cell human genome analysis using whole-genome amplified product, a strong amplification bias involving allele dropout and preferential amplification hampers the quality of results. Using an oligonucleotide single nucleotide polymorphism (SNP) array, we systematically examined the nature of this amplification bias, including frequency, degree, and preference for genomic location, and we assessed the effects of this amplification bias on subsequent genotype and chromosomal copy number analyses.

METHODOLOGY/PRINCIPAL FINDINGS

We found a large variability in amplification bias among the amplified products obtained by multiple displacement amplification (MDA), and this bias had a severe effect on the genotype and chromosomal copy number analyses. We established optimal experimental conditions for pre-screening for high-quality amplified products, processing array data, and analyzing chromosomal structural alterations. Using this optimized protocol, we successfully detected previously unidentified chromosomal structural alterations in single cells from a lymphoblastoid cell line. These alterations were subsequently confirmed by karyotype analysis. In addition, we successfully obtained reproducible chromosomal copy number profiles of single cells from the cell line with a complex karyotype, indicating the applicability and potential of our optimized workflow.

CONCLUSIONS/SIGNIFICANCE

Our results suggest that the quality of amplification products should be critically assessed before using them for genomic analyses. The method of MDA-based whole-genome amplification followed by SNP array analysis described here will be useful for exploring chromosomal alterations in single cells.