Martin J. Maiers

GRIMM-II: A Two-Stage Real-Time Algorithm for Nine-Locus HLA Imputation and Matching with Up to Three Mismatches

GRIMM-II improves HLA donor matching by imputing nine loci and identifying donors with up to three mismatches in real-time.

Classical HLA Allele and Haplotype Frequency Estimates in US Populations

The paper estimates HLA allele and haplotype frequencies in US populations using large-scale genotyping data, revealing population-specific diversity and shared haplotypes.

Autoreactomes in Healthy Individuals Vary According to HLA Class II Genotype

This study identifies distinct autoreactomes in healthy individuals based on HLA-DRB1 genotype using PhIP-Seq, showing genotype-specific autoantibody profiles and potential pathogenic autoantibodies before disease onset.

Self-reported health history from 70,724 individuals reveals novel HLA associations with allergy and other frequently underreported conditions

This study identifies 15 novel HLA associations with underreported conditions using high-resolution HLA genotypes and self-reported health data from 70,724 individuals.

Prediction of KIR3DL1/Human Leukocyte Antigen binding

The paper builds a machine learning model to predict KIR3DL1 binding to HLA class I allotypes, showing that binding is influenced by multiple non-additive regions beyond the classical Bw4 motif.

Harnessing Global HLA Data for Enhanced Patient Matching in iPSC Haplobanks

The paper develops an algorithm to prioritize HLA haplotypes for global patient coverage, showing that a global haplobank could more than double HLA matching coverage compared to national approaches.

Efficient test for deviation from Hardy Weinberg Equilibrium with known or ambiguous typing in highly polymorphic loci

The paper introduces two new statistical tests, UMAT and ASTA, to detect deviations from Hardy-Weinberg Equilibrium in highly polymorphic loci with or without ambiguous typing.

A reassessment of Hardy-Weinberg equilibrium filtering in large sample Genomic studies.

This paper reassesses Hardy-Weinberg equilibrium (HWE) filtering in large genomic studies, showing that current p-value thresholds are too strict for large samples and proposing alternative post-hoc filtering strategies.

A Detailed View of KIR Haplotype Structures and Gene Families as Provided by a New Motif-based Multiple Sequence Alignment

The paper generates and aligns KIR haplotypes at high resolution, defines them as 14 loci with 9 genes, and applies the alignments in software tools for haplotype annotation and genotyping.

Efficient Sequencing, Assembly, and Annotation of Human KIR Haplotypes

The paper presents a method using long-read sequencing to efficiently assemble and annotate diploid human KIR haplotypes with high accuracy and coverage.

Multiple Measures Reveal The Value of Both Race And Geographic Ancestry For Self-Identification

The paper examines how self-reported race and geographic ancestry relate to genetic data in a large U.S. cohort, finding that combining both measures better reflects genetic ancestry than either alone.

GRIMM: GRaph IMputation and Matching for HLA Genotypes

GRIMM improves HLA genotype matching efficiency using a graph database, achieving faster runtime and agreement with consensus outputs on a validation dataset.

Mapping molecular HLA typing data to UNOS antigen equivalents for improved virtual crossmatch

The paper creates a UNOS antigen equivalency table for HLA alleles and develops tools to map molecular HLA typing data to antigen equivalents for virtual crossmatch.

Machine Learning Approach to Predicting Stem-Cell Donor Availability

This study uses machine learning to predict individual donor availability for stem-cell transplants, improving selection efficiency.

Collection and Storage of HLA NGS Genotyping Data for the 17th International HLA and Immunogenetics Workshop

The paper describes the development of a centralized system for collecting, validating, and storing NGS genotyping data for HLA typing at the 17th IHIW.

Unrelated Donor Selection for Stem Cell Transplants using Predictive Modelling

This study uses machine learning to improve unrelated donor selection for stem cell transplants by analyzing historical selection data.

Revealing Complete Complex KIR Haplotypes Phased By Long-Read Sequencing Technology

The paper uses long-read sequencing to phase and sequence sixteen KIR haplotypes from eight individuals, revealing novel structures and variants.