Clinical exome sequencing for genetic identification of rare Mendelian disorders.

IMPORTANCE: Clinical exome sequencing (CES) is rapidly becoming a common molecular diagnostic test for individuals with rare genetic disorders. OBJECTIVE: To report on initial clinical indications for CES referrals and molecular diagnostic rates for different indications and for different test types. DESIGN, SETTING, AND PARTICIPANTS: Clinical exome sequencing was performed on 814 consecutive patients with undiagnosed, suspected genetic conditions at the University of California, Los Angeles, Clinical Genomics Center between January 2012 and August 2014. Clinical exome sequencing was conducted as trio-CES (both parents and their affected child sequenced simultaneously) to effectively detect de novo and compound heterozygous variants or as proband-CES (only the affected individual sequenced) when parental samples were not available. MAIN OUTCOMES AND MEASURES: Clinical indications for CES requests, molecular diagnostic rates of CES overall and for phenotypic subgroups, and differences in molecular diagnostic rates between trio-CES and proband-CES. RESULTS: Of the 814 cases, the overall molecular diagnosis rate was 26% (213 of 814; 95% CI, 23%-29%). The molecular diagnosis rate for trio-CES was 31% (127 of 410 cases; 95% CI, 27%-36%) and 22% (74 of 338 cases; 95% CI, 18%-27%) for proband-CES. In cases of developmental delay in children (<5 years, n = 138), the molecular diagnosis rate was 41% (45 of 109; 95% CI, 32%-51%) for trio-CES cases and 9% (2 of 23, 95% CI, 1%-28%) for proband-CES cases. The significantly higher diagnostic yield (P value = .002; odds ratio, 7.4 [95% CI, 1.6-33.1]) of trio-CES was due to the identification of de novo and compound heterozygous variants. CONCLUSIONS AND RELEVANCE: In this sample of patients with undiagnosed, suspected genetic conditions, trio-CES was associated with higher molecular diagnostic yield than proband-CES or traditional molecular diagnostic methods. Additional studies designed to validate these findings and to explore the effect of this approach on clinical and economic outcomes are warranted.

Evaluation of clonal hematopoiesis in pediatric ADA-SCID gene therapy participants.

Autologous stem cell transplant with gene therapy (ASCT-GT) provides curative therapy while reducing pretransplant immune-suppressive conditioning and eliminating posttransplant immune suppression. Clonal hematopoiesis of indeterminate potential (CHIP)-associated mutations increase and telomere lengths (TLs) shorten with natural aging and DNA damaging processes. It is possible that, if CHIP is present before ASCT-GT or mutagenesis occurs after busulfan exposure, the hematopoietic stem cells carrying these somatic variants may survive the conditioning chemotherapy and have a selective reconstitution advantage, increasing the risk of hematologic malignancy and overall mortality. Seventy-four peripheral blood samples (ranging from baseline to 120 months after ASCT-GT) from 10 pediatric participants who underwent ASCT-GT for adenosine deaminase-deficient severe combined immune deficiency (ADA-SCID) after reduced-intensity conditioning with busulfan and 16 healthy controls were analyzed for TL and CHIP. One participant had a significant decrease in TL. There were no CHIP-associated mutations identified by the next-generation sequencing in any of the ADA-SCID participants. This suggests that further studies are needed to determine the utility of germline analyses in revealing the underlying genetic risk of malignancy in participants who undergo gene therapy. Although these results are promising, larger scale studies are needed to corroborate the effect of ASCT-GT on TL and CHIP. This trial was registered at www.clinicaltrials.gov as #NCT00794508.

Nucleic Acid Extraction from Human Biological Samples.

Nucleic acid isolation is often the starting point for all downstream experiments in biomedical research. It is therefore the most crucial step in any molecular technique. DNA and RNA extraction follow protocols with standardized reagents, many of which are available in quality-controlled commercial kits. Irrespective of the protocol, successful extraction of high-quality nucleic acid from biological tissues requires sufficient disruption of the tissue and cellular structures, denaturation of nucleoprotein complexes, inactivation of nucleases, and nucleic acid purification. These steps can be modified based on nucleic acid of interest and biological sample source. This chapter addresses DNA and RNA extraction from a variety of sample and tissue types, including saliva, and formalin-fixed, paraffin-embedded tissues, which are often archived in clinical pathology laboratories. Special considerations and common pitfalls of each protocol will also be discussed, as will nucleic acid quantitation techniques.

Phenotype sequencing: identifying the genes that cause a phenotype directly from pooled sequencing of independent mutants.

Random mutagenesis and phenotype screening provide a powerful method for dissecting microbial functions, but their results can be laborious to analyze experimentally. Each mutant strain may contain 50-100 random mutations, necessitating extensive functional experiments to determine which one causes the selected phenotype. To solve this problem, we propose a "Phenotype Sequencing" approach in which genes causing the phenotype can be identified directly from sequencing of multiple independent mutants. We developed a new computational analysis method showing that 1. causal genes can be identified with high probability from even a modest number of mutant genomes; 2. costs can be cut many-fold compared with a conventional genome sequencing approach via an optimized strategy of library-pooling (multiple strains per library) and tag-pooling (multiple tagged libraries per sequencing lane). We have performed extensive validation experiments on a set of E. coli mutants with increased isobutanol biofuel tolerance. We generated a range of sequencing experiments varying from 3 to 32 mutant strains, with pooling on 1 to 3 sequencing lanes. Our statistical analysis of these data (4099 mutations from 32 mutant genomes) successfully identified 3 genes (acrB, marC, acrA) that have been independently validated as causing this experimental phenotype. It must be emphasized that our approach reduces mutant sequencing costs enormously. Whereas a conventional genome sequencing experiment would have cost $7,200 in reagents alone, our Phenotype Sequencing design yielded the same information value for only $1200. In fact, our smallest experiments reliably identified acrB and marC at a cost of only $110-$340.

Nonstochastic pairing of immunoglobulin heavy and light chains expressed by chronic lymphocytic leukemia B cells is predicated on the heavy chain CDR3.

We analyzed the immunoglobulin (Ig) variable heavy (IGHV) and variable light chain genes used by leukemia cells of 258 unrelated patients with chronic lymphocytic leukemia (CLL) found to express unmutated Ig heavy chains (IgH) encoded by a 51p1 allele of IGHV1-69 among 1846 CLL patients examined. We found each had at least 98% homology to an identified germline IGKV or IGLV gene. Within the 258 IgH, we identified heavy chain CDR3 (HCDR3) motifs encoded by certain unmutated IGHD and IGHJ genes with restricted reading frames. Frequent and restricted use of particular IGKV and IGLV genes revealed nonstochastic pairing of disparate Ig light chains (IgL) with IgH that had restricted HCDR3 motifs designated CLL69A, -B, -C, and -D. Eighty-six percent (19/22) of CLL cases that expressed motif CLL69B encoded by IGHD2-2/IGHJ6 had distinctive IgL encoded by IGKV1-39. Similarly, 83% (5/6) of samples with motif CLL69D encoded by IGHD2-2/IGHJ6 expressed IGKV3-11, 100% (25/25) with motif CLL69A encoded by IGHD3-16/IGHJ3 used IGKV3-20, and 77% (10/13) with motif CLL69C encoded by IGHD3-3/IGHJ6 expressed IGLV3-9. This study reveals nonstochastic pairing of IgH with particular IgL that is predicated upon Ig HCDR3 structure, providing compelling evidence for selection of antibodies expressed in CLL by conventional antigens.

Chronic lymphocytic leukemia B cells of more than 1% of patients express virtually identical immunoglobulins.

We examined the immunoglobulin (Ig) heavy chain variable region genes (V(H) genes) used by leukemia cells of 1220 unrelated patients with chronic lymphocytic leukemia (CLL). We found 1188 (97%) expressed Ig encoded by a single Ig V(H) subgroup, the most common of which was V(H)3 (571 or 48.1%), followed by V(H)1 (319 or 26.8%) and V(H)4 (241 or 20.2%). Using allele-specific primers, we found 13.8% of all samples (n = 164) used one major V(H)1-69 allele, designated 51p1, 163 of which were not somatically mutated. For these cases, there was marked restriction in the structure of the Ig third complementarity determining regions (CDR3s), which were encoded by a small number of unmutated D and J(H) gene segments. Strikingly, 15 of the 163 cases had virtually identical CDR3s encoded by the second reading frame of D3-16 and J(H)3. Further analysis revealed that each of these 15 samples used the same unmutated Ig kappa light-chain gene, namely A27. These data reveal that approximately 1.3% (15/1220) of all patients had leukemia cells that expressed virtually identical Ig. This finding provides compelling evidence that the Ig expressed by CLL B cells are highly selected and not representative of the Ig expressed by naive B cells.