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Safety issues in cell-based intervention trials

Dawson, Liza; Bateman-House, Alison S; Mueller Agnew, Dawn; Bok, Hilary; Brock, Dan W; Chakravarti, Aravinda; Greene, Mark; King, Patricia A; O'Brien, Stephen J; Sachs, David H; Schill, Kathryn E; Siegel, Andrew; Solter, Davor; Suter, Sonia M; Verfaillie, Catherine M; Walters, LeRoy B; Gearhart, John D; Faden, Ruth R
We report on the deliberations of an interdisciplinary group of experts in science, law, and philosophy who convened to discuss novel ethical and policy challenges in stem cell research. In this report we discuss the ethical and policy implications of safety concerns in the transition from basic laboratory research to clinical applications of cell-based therapies derived from stem cells. Although many features of this transition from lab to clinic are common to other therapies, three aspects of stem cell biology pose unique challenges. First, tension regarding the use of human embryos may complicate the scientific development of safe and effective cell lines. Second, because human stem cells were not developed in the laboratory until 1998, few safety questions relating to human applications have been addressed in animal research. Third, preclinical and clinical testing of biologic agents, particularly those as inherently complex as mammalian cells, present formidable challenges, such as the need to develop suitable standardized assays and the difficulty of selecting appropriate patient populations for early phase trials. We recommend that scientists, policy makers, and the public discuss these issues responsibly, and further, that a national advisory committee to oversee human trials of cell therapies be established.
PMID: 14607552
ISSN: 0015-0282
CID: 2282362

Comparative analyses of multi-species sequences from targeted genomic regions

Thomas, J W; Touchman, J W; Blakesley, R W; Bouffard, G G; Beckstrom-Sternberg, S M; Margulies, E H; Blanchette, M; Siepel, A C; Thomas, P J; McDowell, J C; Maskeri, B; Hansen, N F; Schwartz, M S; Weber, R J; Kent, W J; Karolchik, D; Bruen, T C; Bevan, R; Cutler, D J; Schwartz, S; Elnitski, L; Idol, J R; Prasad, A B; Lee-Lin, S-Q; Maduro, V V B; Summers, T J; Portnoy, M E; Dietrich, N L; Akhter, N; Ayele, K; Benjamin, B; Cariaga, K; Brinkley, C P; Brooks, S Y; Granite, S; Guan, X; Gupta, J; Haghighi, P; Ho, S-L; Huang, M C; Karlins, E; Laric, P L; Legaspi, R; Lim, M J; Maduro, Q L; Masiello, C A; Mastrian, S D; McCloskey, J C; Pearson, R; Stantripop, S; Tiongson, E E; Tran, J T; Tsurgeon, C; Vogt, J L; Walker, M A; Wetherby, K D; Wiggins, L S; Young, A C; Zhang, L-H; Osoegawa, K; Zhu, B; Zhao, B; Shu, C L; De Jong, P J; Lawrence, C E; Smit, A F; Chakravarti, A; Haussler, D; Green, P; Miller, W; Green, E D
The systematic comparison of genomic sequences from different organisms represents a central focus of contemporary genome analysis. Comparative analyses of vertebrate sequences can identify coding and conserved non-coding regions, including regulatory elements, and provide insight into the forces that have rendered modern-day genomes. As a complement to whole-genome sequencing efforts, we are sequencing and comparing targeted genomic regions in multiple, evolutionarily diverse vertebrates. Here we report the generation and analysis of over 12 megabases (Mb) of sequence from 12 species, all derived from the genomic region orthologous to a segment of about 1.8 Mb on human chromosome 7 containing ten genes, including the gene mutated in cystic fibrosis. These sequences show conservation reflecting both functional constraints and the neutral mutational events that shaped this genomic region. In particular, we identify substantial numbers of conserved non-coding segments beyond those previously identified experimentally, most of which are not detectable by pair-wise sequence comparisons alone. Analysis of transposable element insertions highlights the variation in genome dynamics among these species and confirms the placement of rodents as a sister group to the primates.
PMID: 12917688
ISSN: 0028-0836
CID: 1336292

Undetected genotyping errors cause apparent overtransmission of common alleles in the transmission/disequilibrium test

Mitchell, Adele A; Cutler, David J; Chakravarti, Aravinda
The transmission/disequilibrium test (TDT), a family-based test of linkage and association, is a popular and intuitive statistical test for studies of complex inheritance, as it is nonparametric and robust to population stratification. We carried out a literature search and located 79 significant TDT-derived associations between a microsatellite marker allele and a disease. Among these, there were 31 (39%) in which the most common allele was found to exhibit distorted transmission to affected offspring, implying that the allele may be associated with either susceptibility to or protection from a disease. In 27 of these 31 studies (87%), the most common allele appeared to be overtransmitted to affected offspring (a risk factor), and, in the remaining 4 studies, the most common allele appeared to be undertransmitted (a protective factor). In a second literature search, we identified 92 case-control studies in which a microsatellite marker allele was found to have significantly different frequencies in case and control groups. Of these, there were 37 instances (40%) in which the most common allele was involved. In 12 of these 37 studies (32%), the most common allele was enriched in cases relative to controls (a risk factor), and, in the remaining 25 studies, the most common allele was enriched in controls (a protective factor). Thus, the most common allele appears to be a risk factor when identified through the TDT, and it appears to be protective when identified through case-control analysis. To understand this phenomenon, we incorporated an error model into the calculation of the TDT statistic. We show that undetected genotyping error can cause apparent transmission distortion at markers with alleles of unequal frequency. We demonstrate that this distortion is in the direction of overtransmission for common alleles. Therefore, we conclude that undetected genotyping errors may be contributing to an inflated false-positive rate among reported TDT-derived associations and that genotyping fidelity must be increased
PMCID:1180236
PMID: 12587097
ISSN: 0002-9297
CID: 97688

Polymorphism

Chapter by: Chakravarti, Aravinda
in: Wiley encyclopedia of molecular medicine by Kazazian, Haig H (Ed)
New York : John Wiley, 2002
pp. 2545-2548
ISBN: 9780471203063
CID: 3985952

Haplotype inference in random population samples

Lin, Shin; Cutler, David J; Zwick, Michael E; Chakravarti, Aravinda
Contemporary genotyping and sequencing methods do not provide information on linkage phase in diploid organisms. The application of statistical methods to infer and reconstruct linkage phase in samples of diploid sequences is a potentially time- and labor-saving method. The Stephens-Smith-Donnelly (SSD) algorithm is one such method, which incorporates concepts from population genetics theory in a Markov chain-Monte Carlo technique. We applied a modified SSD method, as well as the expectation-maximization and partition-ligation algorithms, to sequence data from eight loci spanning >1 Mb on the human X chromosome. We demonstrate that the accuracy of the modified SSD method is better than that of the other algorithms and is superior in terms of the number of sites that may be processed. Also, we find phase reconstructions by the modified SSD method to be highly accurate over regions with high linkage disequilibrium (LD). If only polymorphisms with a minor allele frequency >0.2 are analyzed and scored according to the fraction of neighbor relations correctly called, reconstructions are 95.2% accurate over entire 100-kb stretches and are 98.6% accurate within blocks of high LD.
PMCID:385088
PMID: 12386835
ISSN: 0002-9297
CID: 2748162

Future of genetics of mood disorders research

Merikangas, Kathleen R; Chakravarti, Aravinda; Moldin, Steven O; Araj, Houmam; Blangero, John C; Burmeister, Margit; Crabbe, John Jr; Depaulo, J Raymond Jr; Foulks, Edward; Freimer, Nelson B; Koretz, Doreen S; Lichtenstein, William; Mignot, Emmanuel; Reiss, Allan L; Risch, Neil J; Takahashi, Joseph S
This report summarizes the deliberations of a panel with representation from diverse disciplines of relevance to the genetics of mood disorders. The major charge to the panel was to develop a strategic plan to employ the tools of genetics to advance the understanding, treatment, and outcomes for mood disorders. A comprehensive review of the evidence for the role of genetic factors in the etiology of mood disorders was conducted, and the chief impediments for progress in gene identification were identified. The National Institute of Mental Health (NIMH) portfolios in the Genetics Research Branch and the Division of Mental Disorders, Behavioral Sciences, AIDS, and all genetics training activities were reviewed. Despite some promising leads, there are still no confirmed linkage findings for mood disorders. Impediments to gene finding include the lack of phenotypic validity, variation in ascertainment sources and methodology across studies, and genetic complexity. With respect to linkage, the committee recommended that a large-scale, integrated effort be undertaken to examine existing data from linkage and association studies of bipolar disorders using identical phenotypes and statistical methods across studies to determine whether the suggestive linkage findings at some loci can be confirmed. Confirmation would justify more intensive approaches to gene finding. The committee recommended that the NIMH support continued efforts to identify the most heritable subtypes and endophenotypes of major depression using the tools of genetic epidemiology, neuroscience, and behavioral science. The field of genetic epidemiology was identified as an important future direction because population-based, epidemiologic studies of families and unrelated affected individuals assume increasing importance for common chronic diseases. To prepare for shifts to more complex genetic models, the committee recommended that the NIMH develop new interdisciplinary training strategies to prepare for the next generation of genetics research.
PMID: 12361664
ISSN: 0006-3223
CID: 2748172

Genome-wide association study and mouse model identify interaction between RET and EDNRB pathways in Hirschsprung disease

Carrasquillo, Minerva M; McCallion, Andrew S; Puffenberger, Erik G; Kashuk, Carl S; Nouri, Nassim; Chakravarti, Aravinda
Genetic studies of Hirschsprung disease, a common congenital malformation, have identified eight genes with mutations that can be associated with this condition. Mutations at individual loci are, however, neither necessary nor sufficient to cause clinical disease. We conducted a genome-wide association study in 43 Mennonite family trios using 2,083 microsatellites and single-nucleotide polymorphisms and a new multipoint linkage disequilibrium method that searches for association arising from common ancestry. We identified susceptibility loci at 10q11, 13q22 and 16q23; the gene at 13q22 is EDNRB, encoding a G protein-coupled receptor (GPCR) and the gene at 10q11 is RET, encoding a receptor tyrosine kinase (RTK). Statistically significant joint transmission of RET and EDNRB alleles in affected individuals and non-complementation of aganglionosis in mouse intercrosses between Ret null and the Ednrb hypomorphic piebald allele are suggestive of epistasis between EDNRB and RET. Thus, genetic interaction between mutations in RET and EDNRB is an underlying mechanism for this complex disorder.
PMID: 12355085
ISSN: 1061-4036
CID: 2748182

An evaluation of the assembly of an approximately 15-Mb region on human chromosome 13q32-q33 linked to bipolar disorder and schizophrenia

Christian, Susan L; McDonough, Jennifer; Liu Cy, Chun-yu; Shaikh, Sanober; Vlamakis, Vivian; Badner, Judith A; Chakravarti, Aravinda; Gershon, Elliot S
The human 13q32-q33 region has been linked to both bipolar disorder and schizophrenia. Before completion of the draft sequences, we developed an approximately 15-Mb comprehensive map for the region extending from D13S1300 to ATA35H12. This map was assembled using publicly available mapping data and sequence-tagged site (STS)-based PCR confirmation. We then compared this map with the NCBI, Celera Genomics, and UCSC Golden Path data in February, June, and September 2001. All data sets showed gaps, misassignment of STSs, and errors in orientation and marker order. Surprisingly, the completed sequences of many bacterial artificial chromosomes (BACs) had been truncated. Of 21 gaps that were detected, 4 were present in both the NCBI and Celera databases. All gaps could be filled using 1-2 BAC clones. A total of 39 loci mapped to additional sites within the human genome, providing evidence of segmental duplications. Additionally, 61 unique cDNA clones were sequenced to increase available transcribed sequence, and 11,353 reference single-nucleotide polymorphisms (SNPs) with an average density of 1 SNP/3720 bases were identified. Overall, integration of the data from multiple sources is still needed for complete assembly of the 13q32-q33 region. (c)
PMID: 11991713
ISSN: 0888-7543
CID: 2748192

A compelling genetic hypothesis for a complex disease: PRODH2/DGCR6 variation leads to schizophrenia susceptibility [Comment]

Chakravarti, Aravinda
PMCID:122660
PMID: 11959925
ISSN: 0027-8424
CID: 2748202

Chronic constipation due to Hirschsprung's disease and desmosis coli in a family [Case Report]

Marshall, Donald G; Meier-Ruge, W A; Chakravarti, Aravinda; Langer, Jacob C
Five members of a family are described, all of whom suffered from chronic constipation and megacolon. Detailed clinical and histologic evaluation of each member revealed that two individuals have histologic evidence of desmosis coli and three have Hirschsprung's disease, one of whom also has desmosis coli. The latter combination has never been described before, either in a family or in a single patient. Genetic studies of the family did not reveal an increase in the number of shared markers for the RET proto-oncogene, suggesting that this previously undescribed familial association is likely not caused by a mutation in the RET gene, but by other genetic abnormalities.
PMID: 11956774
ISSN: 0179-0358
CID: 2748212