The Sonoda-Tajima Cell Collection: a human genetics research resource with emphasis on South American indigenous populations

A pilot study on commonality and specificity of copy number variants in schizophrenia and bipolar disorder

Schizophrenia (SZ) and bipolar disorder (BD) are known to share genetic risks. In this work, we conducted whole-genome scanning to identify cross-disorder and disorder-specific copy number variants (CNVs) for these two disorders. The Database of Genotypes and Phenotypes (dbGaP) data were used for discovery, deriving from 2416 SZ patients, 592 BD patients and 2393 controls of European Ancestry, as well as 998 SZ patients, 121 BD patients and 822 controls of African Ancestry. PennCNV and Birdsuite detected high-confidence CNVs that were aggregated into CNV regions (CNVRs) and compared with the database of genomic variants for confirmation. Then, large (size⩾500 kb) and small common CNVRs (size <500 kb, frequency⩾1%) were examined for their associations with SZ and BD. Particularly for the European Ancestry samples, the dbGaP findings were further evaluated in the Wellcome Trust Case Control Consortium (WTCCC) data set for replication. Previously implicated variants (1q21.1, 15q13.3, 16p11.2 and 22q11.21) were replicated. Some cross-disorder variants were noted to differentially affect SZ and BD, including CNVRs in chromosomal regions encoding immunoglobulins and T-cell receptors that were associated more with SZ, and the 10q11.21 small CNVR (GPRIN2) associated more with BD. Disorder-specific CNVRs were also found. The 22q11.21 CNVR (COMT) and small CNVRs in 11p15.4 (TRIM5) and 15q13.2 (ARHGAP11B and FAN1) appeared to be SZ-specific. CNVRs in 17q21.2, 9p21.3 and 9q21.13 might be BD-specific. Overall, our primary findings in individual disorders largely echo previous reports. In addition, the comparison between SZ and BD reveals both specific and common risk CNVs. Particularly for the latter, differential involvement is noted, motivating further comparative studies and quantitative models.

Genotype instability during long-term subculture of lymphoblastoid cell lines

Epstein-Barr virus (EBV)-transformed lymphoblastoid cell lines (LCLs) promise to address the challenge posed by the limited availability of primary cells needed as a source of genomic DNA for genetic studies. However, the genetic stability of LCLs following prolonged culture has never been rigorously investigated. To evaluate genotypic errors caused by EBV integration into human chromosomes, we isolated genomic DNA from human peripheral blood mononuclear cells and LCLs collected from 20 individuals and genotyped the DNA samples using the Affymetrix 500K SNP array set. Genotype concordance measurements between two sources of DNA from the same individual indicated that genotypic discordance is negligible in early-passage LCLs (<20 passages) but substantial in late-passage LCLs (>50 passages). Analysis of concordance on a chromosome-by-chromosome basis identified genomic regions with a high frequency of genotypic errors resulting from the loss of heterozygosity observed in late-passage LCLs. Our findings suggest that, although LCLs harvested during early stages of propagation are a reliable source of genomic DNA for genetic studies, investigations that involve genotyping of the entire genome should not use DNA from late-passage LCLs.

Dominant expansion of a cryptic subclone with an abnormal karyotype in B lymphoblastoid cell lines during culture

Although B lymphoblastoid cell lines (B-LCLs) are thought to maintain their original genomic structures during long-term culture, there has been considerable disagreement on the actual genomic stability of these cells. This study was initiated to determine whether B-LCLs develop cell populations with abnormal genomes during culture and to search for factors important to the maintenance of the original genome. We established continuous cultures of B-LCLs for more than 6 months and analyzed the cells using array-based comparative genome hybridization (CGH) analysis, conventional karyotyping and analysis of V(D)J recombination in the immunoglobulin (Ig) gene. We found that one B-LCL acquired an extra chromosome 4 without any other genomic rearrangements at passage 16 of continuous culture. At the Ig light- and heavy-chain loci, analysis of the major cell population showed a difference between cultures at early and later passages. Another aneuploid line was detected among B-LCLs established elsewhere and deposited previously into the RIKEN Cell Bank. Our findings indicate that some of the genomic rearrangements in B-LCLs are not caused by gradual accumulation of mutations and rearrangements during the B-LCL establishment processes, but rather as a result of a change in the cell population from clones with a normal genome to clones with de novo rearrangements. It is therefore feasible to maintain B-LCLs with a normal genomic structure by cell cloning or similar treatment.

In depth comparison of an individual's DNA and its lymphoblastoid cell line using whole genome sequencing

BACKGROUND

A detailed analysis of whole genomes can be now achieved with next generation sequencing. Epstein Barr Virus (EBV) transformation is a widely used strategy in clinical research to obtain an unlimited source of a subject's DNA. Although the mechanism of transformation and immortalization by EBV is relatively well known at the transcriptional and proteomic level, the genetic consequences of EBV transformation are less well understood. A detailed analysis of the genetic alterations introduced by EBV transformation is highly relevant, as it will inform on the usefulness and limitations of this approach.

RESULTS

We used whole genome sequencing to assess the genomic signature of a low-passage lymphoblastoid cell line (LCL). Specifically, we sequenced the full genome (40X) of an individual using DNA purified from fresh whole blood as well as DNA from his LCL. A total of 217.33 Gb of sequence were generated from the cell line and 238.95 Gb from the normal genomic DNA. We determined with high confidence that 99.2% of the genomes were identical, with no reproducible changes in structural variation (chromosomal rearrangements and copy number variations) or insertion/deletion polymorphisms (indels).

CONCLUSIONS

Our results suggest that, at this level of resolution, the LCL is genetically indistinguishable from its genomic counterpart and therefore their use in clinical research is not likely to introduce a significant bias.