Recent developments in population biobanks and the genetic architecture of complex disease

Population biobanks have radically transformed our understanding of complex disease genetics. Recent technological advances and the inclusion of diverse populations have accelerated the discovery and interpretation of variant associations. For instance, population-scale whole-genome sequencing now allows deep exploration of rare and structural variant associations, while multi-omics approaches integrating genome-wide association studies with proteomics, metabolomics, and advanced statistical methods like Mendelian randomization provide nuanced insights into genetic disease mechanisms. Additionally, cross-biobank collaborations and meta-analyses have been particularly impactful, dramatically increasing the statistical power for discovery. These efforts have identified novel genetic associations across numerous complex diseases, with significant contributions from non-European populations. However, data integration complexities, privacy concerns, and methodological limitations continue to constrain research. Here we review how recent advances have contributed to genetic discovery.

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Publication Details

Journal
Human Molecular Genetics
Published
2025-04-28
DOI
https://doi.org/10.1093/hmg/ddaf036
Citations
2
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
3.63
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article

Recent developments in population biobanks and the genetic architecture of complex disease

Nour Mimouni, Michael G. Levin, Samuel Khodursky
2 citations
Human Molecular Genetics
Genetic Associations and Epidemiology
3.63
article

Recent developments in population biobanks and the genetic architecture of complex disease

Nour Mimouni, Michael G. Levin, Samuel Khodursky
article en
2 citations

Abstract

Population biobanks have radically transformed our understanding of complex disease genetics. Recent technological advances and the inclusion of diverse populations have accelerated the discovery and interpretation of variant associations. For instance, population-scale whole-genome sequencing now allows deep exploration of rare and structural variant associations, while multi-omics approaches integrating genome-wide association studies with proteomics, metabolomics, and advanced statistical methods like Mendelian randomization provide nuanced insights into genetic disease mechanisms. Additionally, cross-biobank collaborations and meta-analyses have been particularly impactful, dramatically increasing the statistical power for discovery. These efforts have identified novel genetic associations across numerous complex diseases, with significant contributions from non-European populations. However, data integration complexities, privacy concerns, and methodological limitations continue to constrain research. Here we review how recent advances have contributed to genetic discovery.

Human Molecular Genetics
Philadelphia VA Medical Center (US), University of Pennsylvania (US)
Reduced inequalities
Openalex Percentile: Top 8%
Genetic Associations and Epidemiology
3.63
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