Author

Kristina Mullin

Massachusetts General Hospital

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 5 Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 7 Organism:human· 6 Assay:whole-genome sequencing· 4 Research Focus:GWAS / association mapping· 3 Assay:GWAS summary statistics· 3 Research Focus:benchmarking· 2 Research Focus:variant effect prediction· 2 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Dmitry ProkopenkoiD· 7 shared Rudolph E. TanziiD· 7 shared Christoph LangeiD· 5 shared Lars BertramiD· 4 shared Julian HeckeriD· 3 shared Winston HideiD· 3 shared Alzheimer’s Disease Neuroimaging Initiative· 2 shared Georg HahniD· 2 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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7 shared papersGenetic & Genomic Medicine

Dmitry ProkopenkoORCID

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Author profile →

7 papers

Recent·Most cited

GWAS on short tandem repeats identifies novel genetic mechanisms in Alzheimer's disease

David Gmelin, Olena Ohlei, M. Muaaz Aslam, Marit Philine Junge, Laura Parkkinen, Kristina Mullin, Dmitry Prokopenko, Christina M. Lill, Rudolph E. Tanzi, Valerija Dobričić, Lars Bertram

This study conducts GWAS on short tandem repeats (STRs) to identify novel genetic mechanisms in Alzheimer's disease using data from ~330,000 individuals.

Nature Communications · Jun 4, 2026Peer-reviewedGenetic & Genomic Medicine

Matching Heterogeneous Cohorts by Projected Principal Components Reveals Two Novel Alzheimer's Disease-Associated Genes in the Hispanic Population

Julian Willett, Mohamad Waqas, Serhiy Naumenko, Kristina Mullin, Julian Hecker, Lars Bertram, Christoph Lange, Ioannis Vlachos, Winston Hide, Rudolph E. Tanzi, Dmitry Prokopenko

Alzheimer s & Dementia · Feb 1, 2026Peer-reviewedGenetic & Genomic Medicine

Identification of 16 novel Alzheimer's disease susceptibility loci using multi-ancestry meta-analyses of clinical Alzheimer's disease and AD-by-proxy cases from four whole genome sequencing datasets

Julian Willett, Mohammad Waqas, Younjung Choi, Tiffany Ngai, Kristina Mullin, Rudolph E. Tanzi, Dmitry Prokopenko

This study identifies 16 new Alzheimer's disease susceptibility loci through multi-ancestry GWAS using whole genome sequencing data from diverse cohorts.

medRxiv · Sep 11, 2024 · PreprintGenetic & Genomic Medicine

Polygenic hazard score models for the prediction of Alzheimer's free survival using the lasso for Cox's proportional hazards model

Georg Hahn, Dmitry Prokopenko, Julian Hecker, Sharon Marie Lutz, Kristina Mullin, Alzheimer’s Disease Neuroimaging Initiative (ADNI), Rudolph E. Tanzi, Stacia M. DeSantis, Christoph Lange

This paper develops polygenic hazard score models using lasso for Cox's proportional hazards to predict Alzheimer's free survival, showing improved accuracy and personalized survival curves.

Genetic Epidemiology · Jul 9, 2024Peer-reviewedBioinformatics

Region-based analysis of rare genomic variants in whole-genome sequencing datasets reveal two novel Alzheimer's disease-associated genes: DTNB and DLG2

Dmitry Prokopenko, Sanghun Lee, Julian Hecker, Kristina Mullin, Sarah L. Morgan, Yuriko Katsumata, Alzheimer’s Disease Neuroimaging Initiative, Michael Walter Weiner, David W. Fardo, Nan M. Laird, Lars Bertram, Winston Hide, Christoph Lange, Rudolph E. Tanzi

This study identifies two novel Alzheimer's disease-associated genes, DTNB and DLG2, by analyzing rare variants in whole-genome sequencing data from AD family datasets.

Molecular Psychiatry · Mar 4, 2022Peer-reviewedGenetic & Genomic Medicine

Whole-genome sequencing reveals new Alzheimer's disease-associated rare variants in loci related to synaptic function and neuronal development

Dmitry Prokopenko, Sarah L. Morgan, Kristina Mullin, Oliver Hofmann, Brad Chapman, Rory D. Kirchner, Alzheimer’s Disease Neuroimaging Initiative, Sandeep Amberkar, Inken Wohlers, Christoph Lange, Winston Hide, Lars Bertram, Rudolph E. Tanzi

Alzheimer s & Dementia · Apr 2, 2021Peer-reviewedGenetic & Genomic Medicine

A smoothed version of the Lassosum penalty for fitting integrated risk models

Georg Hahn, Dmitry Prokopenko, Sharon Marie Lutz, Kristina Mullin, Rudolph E. Tanzi, Christoph Lange

This paper introduces a smoothed version of the Lassosum penalty to improve integrated risk models, showing increased accuracy in predicting Alzheimer's and COPD risks compared to the original Lassosum and LDpred2.

bioRxiv · Mar 9, 2021 · PreprintBioinformatics