Population-scale burden analysis of rare damaging coding variants identifies novel risk genes for Alzheimer’s disease and Parkinson’s disease

Alzheimer's disease and related dementias (ADRD) <sup>1</sup> and Parkinson's disease and related disorders (PDRD) <sup>2</sup> have substantial genetic contributions, yet the role of rare damaging coding variants remains incompletely characterized at population scale <sup>3-6</sup> . We performed gene-based burden testing of rare loss-of-function and deleterious missense variants using whole-genome sequencing data from large population biobanks combined with disease-specific sequencing cohorts, leveraging proxy phenotypes to maximize statistical power for late-onset neurodegenerative diseases <sup>7</sup> . We confirmed rare variant burden in established ADRD genes ( <i>ABCA7, PSEN1, ADAM10, ATP8B4, GRN, SORL1, TREM2, SHARPIN</i> ) and PDRD genes ( <i>GBA1, LRRK2</i> ). We additionally identified novel associations in ADRD ( <i>IMPA2, PMM2, SYNE1, CHRNA4, FCGR1A</i> ) and PDRD ( <i>ANKRD27, CCL7, USP19, SKP1, KANSL3</i> ). The strongest signal was observed for <i>ANKRD27</i> , where damaging variants clustered within domains mediating interactions with Rab GTPases and retromer components. Our results demonstrate the power of population-scale sequencing combined with proxy phenotypes to identify rare coding risk genes for neurodegenerative diseases.

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Publication Details

Journal
medRxiv
Published
2026-03-04
DOI
https://doi.org/10.64898/2026.03.03.26347540
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.00

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article

Population-scale burden analysis of rare damaging coding variants identifies novel risk genes for Alzheimer’s disease and Parkinson’s disease

Michaël E. Belloy, Rafael Catoia Pulgrossi, Holden Orias, Junyoung Park et al.
medRxiv
Genomics and Rare Diseases
article

Population-scale burden analysis of rare damaging coding variants identifies novel risk genes for Alzheimer’s disease and Parkinson’s disease

Michaël E. Belloy, Rafael Catoia Pulgrossi, Holden Orias, Junyoung Park, Andres Pena-Tauber, Yann Le Guen
article en

Abstract

Alzheimer's disease and related dementias (ADRD) <sup>1</sup> and Parkinson's disease and related disorders (PDRD) <sup>2</sup> have substantial genetic contributions, yet the role of rare damaging coding variants remains incompletely characterized at population scale <sup>3-6</sup> . We performed gene-based burden testing of rare loss-of-function and deleterious missense variants using whole-genome sequencing data from large population biobanks combined with disease-specific sequencing cohorts, leveraging proxy phenotypes to maximize statistical power for late-onset neurodegenerative diseases <sup>7</sup> . We confirmed rare variant burden in established ADRD genes ( <i>ABCA7, PSEN1, ADAM10, ATP8B4, GRN, SORL1, TREM2, SHARPIN</i> ) and PDRD genes ( <i>GBA1, LRRK2</i> ). We additionally identified novel associations in ADRD ( <i>IMPA2, PMM2, SYNE1, CHRNA4, FCGR1A</i> ) and PDRD ( <i>ANKRD27, CCL7, USP19, SKP1, KANSL3</i> ). The strongest signal was observed for <i>ANKRD27</i> , where damaging variants clustered within domains mediating interactions with Rab GTPases and retromer components. Our results demonstrate the power of population-scale sequencing combined with proxy phenotypes to identify rare coding risk genes for neurodegenerative diseases.

medRxiv
Stanford Medicine (US), Stanford University (US)
Michael J. Fox Foundation for Parkinson's Research, Bristol-Myers Squibb, Pfizer, GlaxoSmithKline, Sanofi, Yale University, Celgene, Verily Life Sciences, European Commission, ZonMw, Russian Foundation for Basic Research, Erasmus Medisch Centrum, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Oesterreichische Nationalbank, Österreichische Forschungsförderungsgesellschaft, Karl-Franzens-Universität Graz, Medizinische Universität Graz, National Institutes of Health, National Institute on Aging, National Heart, Lung, and Blood Institute, National Institute on Deafness and Other Communication Disorders, National Institute of Neurological Disorders and Stroke
Good health and well-being
Openalex Percentile: Top 31%
Genomics and Rare Diseases
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