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Wittig, M.

Publications and source records attributed to Wittig, M..

2 recordsLinked to original sources

TMEM106B and CPOX are genetic determinants of cerebrospinal fluid Alzheimer's disease biomarker levels

BackgroundNeurofilament light (NF-L), chitinase-3-like protein 1 (YKL-40), and neurogranin (Ng) are utilized as biomarkers for Alzheimers disease (AD), to monitor axonal damage, astroglial activation, and synaptic degeneration, respectively. Here we performed genome-wide association study (GWAS) analyses using all three biomarkers as outcome. MethodsDNA and cerebrospinal fluid (CSF) samples originated from the European Medical Information Framework AD Multimodal Biomarker Discovery (EMIF-AD MBD) study. Overlapping genotype/phenotype data were available for n=671 (NF-L), 677 (YKL-40), and 672 (Ng) individuals. GWAS analyses applied linear regression models adjusting for relevant covariates. FindingsWe identify novel genome-wide significant associations with markers in TMEM106B and CSF levels of NF-L. Additional novel signals were observed with DNA variants in CPOX and CSF levels of YKL-40. Lastly, we confirmed previous work suggesting that YKL-40 levels are regulated by cis protein quantitative trait loci (pQTL) in CHI3L1. InterpretationOur study provides important new insights into the genetic architecture underlying inter-individual variation in all three tested AD-related CSF biomarkers. In particular, our data shed light on the sequence of events regarding the initiation and progression of neuropathological processes relevant in AD.

genomics

HLAssign 2.0: An advanced Graphical User Interface for the analysis of short and long read Human Leukocyte Antigen-typing data

Next Generation Sequencing (NGS) based Human Leukocyte Antigen (HLA) typing has been a challenge due to the polymorphism of the HLA region. Nevertheless, the methods accuracy has increased during the last years and it is now routinely used by many large centers including bone marrow registries. However, challenging HLA genotype compositions exist, which hinder a fully automated analysis. Therefore, HLA typing results are still visually inspected in diagnostics, i.e. the underlying read mappings and phasing information is controlled. Here, we present HLAssign 2.0 that now includes a strict workflow, improved tools for visual inspection and read phasing analysis in the automatic caller. In collaboration with interface design researchers, biologists and informaticians we developed an elaborate graphical user interface for visual evaluation of automated HLA calls for Illumina NGS reads. We also provide tools to preprocess 10x Genomics and PacBio sequencing reads for HLAssign analysis. We benchmarked our automatic caller against STC-seq and xHLA, showing comparable automatic call rates. Additional manual inspection of the automatic results in our GUI assists the user to assign the correct HLA calls and to achieve diagnostic accuracy. HLAssign 2.0 is free for research and commercial use and is available for Windows and MacOS.

bioinformatics