Fine mapping of 14q24.1 breast cancer susceptibility locus

DOT: Gene-set analysis by combining decorrelated association statistics

Historically, the majority of statistical association methods have been designed assuming availability of SNP-level information. However, modern genetic and sequencing data present new challenges to access and sharing of genotype-phenotype datasets, including cost of management, difficulties in consolidation of records across research groups, etc. These issues make methods based on SNP-level summary statistics particularly appealing. The most common form of combining statistics is a sum of SNP-level squared scores, possibly weighted, as in burden tests for rare variants. The overall significance of the resulting statistic is evaluated using its distribution under the null hypothesis. Here, we demonstrate that this basic approach can be substantially improved by decorrelating scores prior to their addition, resulting in remarkable power gains in situations that are most commonly encountered in practice; namely, under heterogeneity of effect sizes and diversity between pairwise LD. In these situations, the power of the traditional test, based on the added squared scores, quickly reaches a ceiling, as the number of variants increases. Thus, the traditional approach does not benefit from information potentially contained in any additional SNPs, while our decorrelation by orthogonal transformation (DOT) method yields steady gain in power. We present theoretical and computational analyses of both approaches, and reveal causes behind sometimes dramatic difference in their respective powers. We showcase DOT by analyzing breast cancer and cleft lip data, in which our method strengthened levels of previously reported associations and implied the possibility of multiple new alleles that jointly confer disease risk.

Proteolysis of methylated SOX2 protein is regulated by L3MBTL3 and CRL4DCAF5 ubiquitin ligase

SOX2 is a dose-dependent master stem cell protein that controls the self-renewal and pluripotency or multipotency of embryonic stem (ES) cells and many adult stem cells. We have previously found that SOX2 protein is monomethylated at lysine residues 42 and 117 by SET7 methyltransferase to promote SOX2 proteolysis, whereas LSD1 and PHF20L1 act on both methylated Lys-42 and Lys-117 to prevent SOX2 proteolysis. However, the mechanism by which the methylated SOX2 protein is degraded remains unclear. Here, we report that L3MBTL3, a protein with the malignant-brain-tumor (MBT) methylation-binding domain, is required for SOX2 proteolysis. Our studies showed that L3MBTL3 preferentially binds to the methylated Lys-42 in SOX2, although mutation of Lys-117 also partially reduces the interaction between SOX2 and L3MBTL3. The direct binding of L3MBTL3 to the methylated SOX2 protein leads to the recruitment of the CRL4^DCAF5 ubiquitin E3 ligase to target SOX2 protein for ubiquitin-dependent proteolysis. Whereas loss of either LSD1 or PHF20L1 destabilizes SOX2 protein and impairs the self-renewal and pluripotency of mouse ES cells, knockdown of L3MBTL3 or DCAF5 is sufficient to restore the protein levels of SOX2 and rescue the defects of mouse ES cells caused by LSD1 or PHF20L1 deficiency. We also found that retinoic acid-induced differentiation of mouse ES cells is accompanied by the enhanced degradation of the methylated SOX2 protein at both Lys-42 and Lys-117. Our studies provide novel insights into the mechanism by which the methylation-dependent degradation of SOX2 protein is controlled by the L3MBTL3-CRL4^DCAF5 ubiquitin ligase complex.

TERT polymorphisms modify the risk of acute lymphoblastic leukemia in Chinese children

Human telomerase reverse transcriptase (TERT) is essential for the maintenance of telomere DNA length, chromosomal stability and cellular immortality. We hypothesized that TERT polymorphisms are associated with risk of childhood acute lymphoblastic leukemia (ALL). We first conducted a case-control study of 570 ALL cases and 673 cancer-free controls of Chinese children, using the tagging single-nucleotide polymorphisms (tSNPs) approach. We then examined the functionality of the important SNPs. We found that TERT promoter region tSNP (rs2735940) and two intron region tSNPs (rs2736100 and rs10069690) were associated with risk of childhood ALL (P = 0.036, 0.011 and 0.022, respectively, in allele comparison). The in vitro luciferase assays in Jurkat cells showed an increased transcriptional activity of rs2735940 T allele compared with the C allele. Additional experiments with ALL bone marrow revealed that the rs2735940 T allele increased levels of the TERT messenger RNA. Notably, TERT intron 2 polymorphism (rs2736100) was associated with lower telomerase activity and longer telomeres. Our findings suggested that TERT promoter rs2735940 polymorphism may affect the TERT activity, and rs2736100 may be associated with telomere function, and thus, it is a potential biomarker for genetic susceptibility to ALL in Chinese children.