利用多家系元分析确定 16 个新型阿尔茨海默病基因位点

IF 13 1区 医学 Q1 CLINICAL NEUROLOGY
Julian Daniel Sunday Willett, Mohammad Waqas, Younjung Choi, Tiffany Ngai, Kristina Mullin, Rudolph E. Tanzi, Dmitry Prokopenko
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引用次数: 0

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Identification of 16 novel Alzheimer's disease loci using multi-ancestry meta-analyses

Identification of 16 novel Alzheimer's disease loci using multi-ancestry meta-analyses

INTRODUCTION

Alzheimer's disease (AD) is the most prevalent form of dementia. While many AD-associated genetic determinants have been identified, few studies have analyzed individuals of non-European ancestry.

METHODS

We conducted a multi-ancestry genome-wide association study (GWAS) of clinically diagnosed AD and AD-by-proxy using whole genome sequencing data from the National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site (NIAGADS), National Institute of Mental Health, UK Biobank (UKB), and All of Us (AoU) consisting of 49,149 cases (12,074 clinically diagnosed and 37,075 AD-by-proxy) and 383,225 controls. Nearly half of NIAGADS and AoU participants were of non-European ancestry.

RESULTS

For clinically diagnosed AD, we identified 14 new loci—five common (FBN2/SCL27A6, AC090115.1, DYM, KCNG1/AL121785.1, TIAM1) and nine rare (VWA5B1, RNU6-755P/LMX1A, MOB1A, MORC1-AS1, LINC00989, PDE4D, RNU2-49P/CDO1, NEO1, and SLC35G3/AC022916.1). Meta-analysis of UKB and AoU AD-by-proxy cases yielded two new rare loci (RPL23/LASP1 and CEBPA/AC008738.6), also nominally significant in NIAGADS.

DISCUSSION

In summary, we provide evidence for 16 novel AD loci and advocate for more studies using whole genome sequencing–based GWAS of diverse cohorts.

Highlights

  • We used whole-genome sequencing data from large and diverse cohorts.
  • We found novel genome-wide association study findings based on whole-genome data.
  • We performed a multiancestry meta-analysis and incorporated results from underrepresented groups.
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来源期刊
Alzheimer's & Dementia
Alzheimer's & Dementia 医学-临床神经学
CiteScore
14.50
自引率
5.00%
发文量
299
审稿时长
3 months
期刊介绍: Alzheimer's & Dementia is a peer-reviewed journal that aims to bridge knowledge gaps in dementia research by covering the entire spectrum, from basic science to clinical trials to social and behavioral investigations. It provides a platform for rapid communication of new findings and ideas, optimal translation of research into practical applications, increasing knowledge across diverse disciplines for early detection, diagnosis, and intervention, and identifying promising new research directions. In July 2008, Alzheimer's & Dementia was accepted for indexing by MEDLINE, recognizing its scientific merit and contribution to Alzheimer's research.
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