Publications by authors named "Michael Malasky"

Although expression quantitative trait loci (eQTLs) have been powerful in identifying susceptibility genes from genome-wide association study (GWAS) findings, most trait-associated loci are not explained by eQTLs alone. Alternative QTLs, including DNA methylation QTLs (meQTLs), are emerging, but cell-type-specific meQTLs using cells of disease origin have been lacking. Here, we established an meQTL dataset by using primary melanocytes from 106 individuals and identified 1,497,502 significant cis-meQTLs.

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Purpose: Single-cell RNA sequencing (scRNA-seq) is a powerful technique used to explore gene expression at the single cell level. However, appropriate preparation of samples is essential to obtain the most information out of this transformative technology. Generating high-quality single-cell suspensions from the retina is critical to preserve the native expression profile that will ensure meaningful transcriptome data analysis.

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Article Synopsis
  • - A large meta-analysis involving genome-wide association studies (GWAS) of nearly 37,000 melanoma cases revealed 54 significant genetic locations (loci) linked to the disease, advancing our understanding of its genetic risk factors.
  • - The study found that the acral melanoma subtype is not influenced by pigmentation, suggesting distinct genetic mechanisms compared to other melanoma types.
  • - By combining findings from various genetic studies, researchers identified a total of 85 loci related to cutaneous melanoma, highlighting factors such as nevus count, pigmentation, and telomere maintenance as important in melanoma development.
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Background & Aims: Aflatoxin, which causes hepatocellular carcinoma, may also cause gallbladder cancer. We investigated whether patients with gallbladder cancer have higher exposure to aflatoxin than patients with gallstones.

Methods: We measured aflatoxin B (AFB)-lysine adducts in plasma samples from the Shanghai Biliary Tract Cancer case-control study, conducted from 1997 through 2001.

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The risk of pancreatic cancer (PC) is increased in melanoma-prone families but the causal relationship between germline CDKN2A mutations and PC risk is uncertain, suggesting the existence of non-CDKN2A factors. One genetic possibility involves patients having mutations in multiple high-risk PC-related genes; however, no systematic examination has yet been conducted. We used next-generation sequencing data to examine 24 putative PC-related genes in 43 PC patients with and 23 PC patients without germline CDKN2A mutations and 1001 controls.

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  • Familial acute myeloid leukemia is linked to specific genetic mutations, particularly in CEBPA, with a focus on a unique Q311P mutation identified in a study involving a large family.
  • Using advanced techniques like whole exome sequencing and protein modeling, researchers found that the Q311P mutation disrupts the DNA-binding ability of the CEBPA protein.
  • The study also noted incomplete penetrance of this mutation, suggesting that not all carriers will develop leukemia despite having the genetic mutation.
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Nasopharyngeal carcinoma (NPC) is an epithelial malignancy facilitated by Epstein-Barr Virus infection. Here we resolve the major genetic influences for NPC incidence using a genome-wide association study (GWAS), independent cohort replication, and high-resolution molecular HLA class I gene typing including 4,055 study participants from the Guangxi Zhuang Autonomous Region and Guangdong province of southern China. We detect and replicate strong association signals involving SNPs, HLA alleles, and amino acid (aa) variants across the major histocompatibility complex-HLA-A, HLA -B, and HLA -C class I genes (P(HLA-A-aa-site-62) = 7.

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  • - The study investigated how genetic variations in individuals affect the progression of HIV to AIDS by analyzing data from five cohorts of HIV patients, focusing on single-nucleotide polymorphisms (SNPs).
  • - Significant findings include an association between slower AIDS progression and SNPs in the PARD3B gene, particularly rs11884476, which showed a strong effect on disease rate and highlighted a specific PARD3B haplotype linked to this progression.
  • - The results suggest that genetic factors, like certain SNPs, could play a crucial role in influencing how quickly AIDS develops, pointing to new avenues for understanding and potentially treating this condition.
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  • High-throughput genome-wide techniques helped identify previously unknown host proteins that play a role in HIV infection, leading to the discovery of HIV-dependency factors (HDFs) through small interfering RNA studies.
  • The research involved analyzing 6380 single-nucleotide polymorphisms (SNPs) associated with 278 HDF genes in a group of 1633 individuals to find links between these genes and HIV infection and AIDS progression.
  • Significant SNP associations were found in the NCOR2 and IDH1 genes related to HIV acquisition, while TM9SF2 and EGFR showed weaker links to AIDS progression, highlighting how genetic variations can impact susceptibility to HIV.
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Background: The human mitochondrial genome includes only 13 coding genes while nuclear-encoded genes account for 99% of proteins responsible for mitochondrial morphology, redox regulation, and energetics. Mitochondrial pathogenesis occurs in HIV patients and genetically, mitochondrial DNA haplogroups with presumed functional differences have been associated with differential AIDS progression.

Methodology/principal Findings: Here we explore whether single nucleotide polymorphisms (SNPs) within 904 of the estimated 1,500 genes that specify nuclear-encoded mitochondrial proteins (NEMPs) influence AIDS progression among HIV-1 infected patients.

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Admixture mapping (also known as "mapping by admixture linkage disequilibrium," or MALD) provides a way of localizing genes that cause disease, in admixed ethnic groups such as African Americans, with approximately 100 times fewer markers than are required for whole-genome haplotype scans. However, it has not been possible to perform powerful scans with admixture mapping because the method requires a dense map of validated markers known to have large frequency differences between Europeans and Africans. To create such a map, we screened through databases containing approximately 450000 single-nucleotide polymorphisms (SNPs) for which frequencies had been estimated in African and European population samples.

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The human genome contains one short tandem repeat (STR) roughly every 2,000 base pairs. They are particularly useful markers for gene mapping and disease association studies due to their high degree of polymorphism and ubiquitous frequency throughout the genome. The major histocompatibility complex (MHC) has been the focus of many disease association studies, and the recent availability of the entire sequence of the complex has logarithmically expanded the density of potential markers for fine mapping disease loci.

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