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Institute
Chromosomal rearrangements of the human MLL (mixed lineage leukemia) gene are associated with high-risk infant, pediatric, adult and therapy-induced acute leukemias. We used long-distance inverse-polymerase chain reaction to characterize the chromosomal rearrangement of individual acute leukemia patients. We present data of the molecular characterization of 1590 MLL-rearranged biopsy samples obtained from acute leukemia patients. The precise localization of genomic breakpoints within the MLL gene and the involved translocation partner genes (TPGs) were determined and novel TPGs identified. All patients were classified according to their gender (852 females and 745 males), age at diagnosis (558 infant, 416 pediatric and 616 adult leukemia patients) and other clinical criteria. Combined data of our study and recently published data revealed a total of 121 different MLL rearrangements, of which 79 TPGs are now characterized at the molecular level. However, only seven rearrangements seem to be predominantly associated with illegitimate recombinations of the MLL gene (~ 90%): AFF1/AF4, MLLT3/AF9, MLLT1/ENL, MLLT10/AF10, ELL, partial tandem duplications (MLL PTDs) and MLLT4/AF6, respectively. The MLL breakpoint distributions for all clinical relevant subtypes (gender, disease type, age at diagnosis, reciprocal, complex and therapy-induced translocations) are presented. Finally, we present the extending network of reciprocal MLL fusions deriving from complex rearrangements.
While it is apparent that rare variation can play an important role in the genetic architecture of autism spectrum disorders (ASDs), the contribution of common variation to the risk of developing ASD is less clear. To produce a more comprehensive picture, we report Stage 2 of the Autism Genome Project genome-wide association study, adding 1301 ASD families and bringing the total to 2705 families analysed (Stages 1 and 2). In addition to evaluating the association of individual single nucleotide polymorphisms (SNPs), we also sought evidence that common variants, en masse, might affect the risk. Despite genotyping over a million SNPs covering the genome, no single SNP shows significant association with ASD or selected phenotypes at a genome-wide level. The SNP that achieves the smallest P-value from secondary analyses is rs1718101. It falls in CNTNAP2, a gene previously implicated in susceptibility for ASD. This SNP also shows modest association with age of word/phrase acquisition in ASD subjects, of interest because features of language development are also associated with other variation in CNTNAP2. In contrast, allele scores derived from the transmission of common alleles to Stage 1 cases significantly predict case status in the independent Stage 2 sample. Despite being significant, the variance explained by these allele scores was small (Vm< 1%). Based on results from individual SNPs and their en masse effect on risk, as inferred from the allele score results, it is reasonable to conclude that common variants affect the risk for ASD but their individual effects are modest.
Although autism spectrum disorders (ASDs) have a substantial genetic basis, most of the known genetic risk has been traced to rare variants, principally copy number variants (CNVs). To identify common risk variation, the Autism Genome Project (AGP) Consortium genotyped 1558 rigorously defined ASD families for 1 million single-nucleotide polymorphisms (SNPs) and analyzed these SNP genotypes for association with ASD. In one of four primary association analyses, the association signal for marker rs4141463, located within MACROD2, crossed the genome-wide association significance threshold of P < 5 × 10−8. When a smaller replication sample was analyzed, the risk allele at rs4141463 was again over-transmitted; yet, consistent with the winner's curse, its effect size in the replication sample was much smaller; and, for the combined samples, the association signal barely fell below the P < 5 × 10−8 threshold. Exploratory analyses of phenotypic subtypes yielded no significant associations after correction for multiple testing. They did, however, yield strong signals within several genes, KIAA0564, PLD5, POU6F2, ST8SIA2 and TAF1C.
Цель: Оценить влияние локализации точки разрыва в геномной ДНК гена MLL на прогноз острых лейкозов (ОЛ) у детей первого года жизни.
Методы: В исследование было включено 68 детей первого года жизни (29 мальчиков и 39 девочек с медианой возраста 4,8 мес.) с MLL-позитивными острым лимфобластным лейкозом (ОЛЛ) (n = 46), острым миелоидным лейкозом (ОМЛ) (n = 20) и ОЛ смешанной линейности (n = 2).
Результаты: 5-летняя бессобытийная выживаемость (БСВ) детей первого года жизни с ОЛЛ, включенных в исследование MLL-Baby, с точкой разрыва в интроне 11 ДНК гена MLL (n = 29) была статистически значимо ниже, чем у пациентов c локализацией точек разрыва, начиная с интрона 7 по экзон 11 (n = 17; 0,16 ± 0,07 и 0,38 ± 0,14; p = 0,039), а кумулятивная вероятность развития рецидива была значительно выше в группе с точкой разрыва в интроне 11 (0,74 ± 0,09 и 0,52 ± 0,17; p = 0,045). В то же время многофакторный анализ показал, что единственным значимым фактором, связанным с неблагоприятным прогнозом, остается сохранение минимальной остаточной болезни (МОБ) в точке наблюдения 4 протокола MLL-Baby (отношение опасности 5,994; 95%-й доверительный интервал 2,209–16,263; p < 0,001). У 22 пациентов с ОМЛ связи между прогнозом и локализацией точки разрыва в ДНК гена MLL не выявлено.
Заключение: Наличие точки разрыва в интроне 11 гена MLL у детей первого года жизни с ОЛЛ, получавших лечение по протоколу MLL-Baby, вело к статистически значимо более низким показателям БСВ и более высокой кумулятивной вероятности развития рецидива. Однако в многофакторной модели риска это нивелировалось сохранением МОБ в точке наблюдения 4. У детей первого года жизни с ОМЛ взаимосвязи между локализацией точки разрыва в ДНК гена MLL и прогнозом не выявлено.