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Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies known and novel cross-population and ancestry-specific associations as novel risk loci for Alzheimer’s disease
by
Schneider, Julie A.
, Kramer, Joel H.
, Beekly, Duane
, Cuccaro, Michael L.
, Trojanowski, John Q.
, Harrell, Lindy E.
, Mains, Douglas
, Kikuchi, Masataka
, Ory, Marcia
, George-Hyslop, Peter St
, Seeley, William W.
, Apostolova, Liana G.
, Duara, Ranjan
, Royall, Donald R.
, Benitez, Bruno A.
, Frosch, Matthew P.
, Rajabli, Farid
, Margaret, Flanagan E.
, Myers, Amanda J.
, Weintraub, Sandra
, Spina, Salvatore
, Atwood, Craig S.
, Barber, Robert C.
, Johnson, Leigh
, Bennett, David
, Reisch, Joan S.
, Welsh-Bohmer, Kathleen A.
, Reyes-Dumeyer, Dolly
, Buxbaum, Joseph D.
, Adams, Larry D.
, Carney, Regina M.
, Byrd, Goldie S.
, Huentelman, Matthew J.
, Chasse, Scott
, Cullum, Munro
, Vassar, Robert
, Dickson, Dennis W.
, Paydarfar, David
, Allen, Mariet
, Hamilton, Ronald L.
, Chung, Jaeyoon
, Paulson, Henry L.
, Monuki, Edwin S.
, Davis, Barbara
, Hakonarson, Hakon
, Katz, Mindy J.
, Nguyen, Trung
, Go, Rodney C.P.
, Baldwin, Clinton T.
, Kushch, Nicholas
, Chui, Helena C.
, Kowall, Neil W.
, Lunetta, Kathryn L.
, Woltjer, Randall L.
, Quiceno, Mary
, Sultzer, David
, Farrell, John J.
, Perez, Victoria
, Green, Robert C.
, Pavlik, Valory
, Sha, Jin
, Pathak, Omka
in
Alzheimer disease
/ Alzheimer Disease - ethnology
/ Alzheimer Disease - genetics
/ Alzheimer's disease
/ Amyloid
/ ancestry
/ Animal Genetics and Genomics
/ Apolipoprotein E
/ Bioinformatics
/ Biomedical and Life Sciences
/ Black or African American - genetics
/ complement
/ data collection
/ Datasets
/ Dementia
/ Evolutionary Biology
/ Gene loci
/ Genetic Loci
/ Genetic Predisposition to Disease
/ genome
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genome-wide association study (GWAS)
/ Genomes
/ Genomic analysis
/ genomics
/ GWAS meta-analysis
/ Health risk assessment
/ Hispanic Americans
/ Hispanic or Latino - genetics
/ Human Genetics
/ Humans
/ Insights from trans-ancestral association study
/ insulin receptors
/ Life Sciences
/ loci
/ Male
/ Meta-analysis
/ Microbial Genetics and Genomics
/ Multi-ancestry
/ Neurodegenerative diseases
/ neurons
/ Pathology
/ Plant Genetics and Genomics
/ Polymorphism, Single Nucleotide
/ Population
/ Population-specific
/ Precision medicine
/ risk
/ sample size
/ White - genetics
2025
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Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies known and novel cross-population and ancestry-specific associations as novel risk loci for Alzheimer’s disease
by
Schneider, Julie A.
, Kramer, Joel H.
, Beekly, Duane
, Cuccaro, Michael L.
, Trojanowski, John Q.
, Harrell, Lindy E.
, Mains, Douglas
, Kikuchi, Masataka
, Ory, Marcia
, George-Hyslop, Peter St
, Seeley, William W.
, Apostolova, Liana G.
, Duara, Ranjan
, Royall, Donald R.
, Benitez, Bruno A.
, Frosch, Matthew P.
, Rajabli, Farid
, Margaret, Flanagan E.
, Myers, Amanda J.
, Weintraub, Sandra
, Spina, Salvatore
, Atwood, Craig S.
, Barber, Robert C.
, Johnson, Leigh
, Bennett, David
, Reisch, Joan S.
, Welsh-Bohmer, Kathleen A.
, Reyes-Dumeyer, Dolly
, Buxbaum, Joseph D.
, Adams, Larry D.
, Carney, Regina M.
, Byrd, Goldie S.
, Huentelman, Matthew J.
, Chasse, Scott
, Cullum, Munro
, Vassar, Robert
, Dickson, Dennis W.
, Paydarfar, David
, Allen, Mariet
, Hamilton, Ronald L.
, Chung, Jaeyoon
, Paulson, Henry L.
, Monuki, Edwin S.
, Davis, Barbara
, Hakonarson, Hakon
, Katz, Mindy J.
, Nguyen, Trung
, Go, Rodney C.P.
, Baldwin, Clinton T.
, Kushch, Nicholas
, Chui, Helena C.
, Kowall, Neil W.
, Lunetta, Kathryn L.
, Woltjer, Randall L.
, Quiceno, Mary
, Sultzer, David
, Farrell, John J.
, Perez, Victoria
, Green, Robert C.
, Pavlik, Valory
, Sha, Jin
, Pathak, Omka
in
Alzheimer disease
/ Alzheimer Disease - ethnology
/ Alzheimer Disease - genetics
/ Alzheimer's disease
/ Amyloid
/ ancestry
/ Animal Genetics and Genomics
/ Apolipoprotein E
/ Bioinformatics
/ Biomedical and Life Sciences
/ Black or African American - genetics
/ complement
/ data collection
/ Datasets
/ Dementia
/ Evolutionary Biology
/ Gene loci
/ Genetic Loci
/ Genetic Predisposition to Disease
/ genome
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genome-wide association study (GWAS)
/ Genomes
/ Genomic analysis
/ genomics
/ GWAS meta-analysis
/ Health risk assessment
/ Hispanic Americans
/ Hispanic or Latino - genetics
/ Human Genetics
/ Humans
/ Insights from trans-ancestral association study
/ insulin receptors
/ Life Sciences
/ loci
/ Male
/ Meta-analysis
/ Microbial Genetics and Genomics
/ Multi-ancestry
/ Neurodegenerative diseases
/ neurons
/ Pathology
/ Plant Genetics and Genomics
/ Polymorphism, Single Nucleotide
/ Population
/ Population-specific
/ Precision medicine
/ risk
/ sample size
/ White - genetics
2025
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Do you wish to request the book?
Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies known and novel cross-population and ancestry-specific associations as novel risk loci for Alzheimer’s disease
by
Schneider, Julie A.
, Kramer, Joel H.
, Beekly, Duane
, Cuccaro, Michael L.
, Trojanowski, John Q.
, Harrell, Lindy E.
, Mains, Douglas
, Kikuchi, Masataka
, Ory, Marcia
, George-Hyslop, Peter St
, Seeley, William W.
, Apostolova, Liana G.
, Duara, Ranjan
, Royall, Donald R.
, Benitez, Bruno A.
, Frosch, Matthew P.
, Rajabli, Farid
, Margaret, Flanagan E.
, Myers, Amanda J.
, Weintraub, Sandra
, Spina, Salvatore
, Atwood, Craig S.
, Barber, Robert C.
, Johnson, Leigh
, Bennett, David
, Reisch, Joan S.
, Welsh-Bohmer, Kathleen A.
, Reyes-Dumeyer, Dolly
, Buxbaum, Joseph D.
, Adams, Larry D.
, Carney, Regina M.
, Byrd, Goldie S.
, Huentelman, Matthew J.
, Chasse, Scott
, Cullum, Munro
, Vassar, Robert
, Dickson, Dennis W.
, Paydarfar, David
, Allen, Mariet
, Hamilton, Ronald L.
, Chung, Jaeyoon
, Paulson, Henry L.
, Monuki, Edwin S.
, Davis, Barbara
, Hakonarson, Hakon
, Katz, Mindy J.
, Nguyen, Trung
, Go, Rodney C.P.
, Baldwin, Clinton T.
, Kushch, Nicholas
, Chui, Helena C.
, Kowall, Neil W.
, Lunetta, Kathryn L.
, Woltjer, Randall L.
, Quiceno, Mary
, Sultzer, David
, Farrell, John J.
, Perez, Victoria
, Green, Robert C.
, Pavlik, Valory
, Sha, Jin
, Pathak, Omka
in
Alzheimer disease
/ Alzheimer Disease - ethnology
/ Alzheimer Disease - genetics
/ Alzheimer's disease
/ Amyloid
/ ancestry
/ Animal Genetics and Genomics
/ Apolipoprotein E
/ Bioinformatics
/ Biomedical and Life Sciences
/ Black or African American - genetics
/ complement
/ data collection
/ Datasets
/ Dementia
/ Evolutionary Biology
/ Gene loci
/ Genetic Loci
/ Genetic Predisposition to Disease
/ genome
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genome-wide association study (GWAS)
/ Genomes
/ Genomic analysis
/ genomics
/ GWAS meta-analysis
/ Health risk assessment
/ Hispanic Americans
/ Hispanic or Latino - genetics
/ Human Genetics
/ Humans
/ Insights from trans-ancestral association study
/ insulin receptors
/ Life Sciences
/ loci
/ Male
/ Meta-analysis
/ Microbial Genetics and Genomics
/ Multi-ancestry
/ Neurodegenerative diseases
/ neurons
/ Pathology
/ Plant Genetics and Genomics
/ Polymorphism, Single Nucleotide
/ Population
/ Population-specific
/ Precision medicine
/ risk
/ sample size
/ White - genetics
2025
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Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies known and novel cross-population and ancestry-specific associations as novel risk loci for Alzheimer’s disease
Journal Article
Multi-ancestry genome-wide meta-analysis of 56,241 individuals identifies known and novel cross-population and ancestry-specific associations as novel risk loci for Alzheimer’s disease
2025
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Overview
Background
Limited ancestral diversity has impaired our ability to detect risk variants more prevalent in ancestry groups of predominantly non-European ancestral background in genome-wide association studies (GWAS). We construct and analyze a multi-ancestry GWAS dataset in the Alzheimer’s Disease Genetics Consortium (ADGC) to test for novel shared and population-specific late-onset Alzheimer’s disease (LOAD) susceptibility loci and evaluate underlying genetic architecture in 37,382 non-Hispanic White (NHW), 6728 African American, 8899 Hispanic (HIS), and 3232 East Asian individuals, performing within ancestry fixed-effects meta-analysis followed by a cross-ancestry random-effects meta-analysis.
Results
We identify 13 loci with cross-population associations including known loci at/near
CR1
,
BIN1
,
TREM2
,
CD2AP
,
PTK2B
,
CLU
,
SHARPIN
,
MS4A6A
,
PICALM
,
ABCA7
,
APOE
, and two novel loci not previously reported at 11p12 (
LRRC4C
) and 12q24.13 (
LHX5-AS1
). We additionally identify three population-specific loci with genome-wide significance at/near
PTPRK
and
GRB14
in HIS and
KIAA0825
in NHW. Pathway analysis implicates multiple amyloid regulation pathways and the classical complement pathway. Genes at/near our novel loci have known roles in neuronal development (
LRRC4C
,
LHX5-AS1
, and
PTPRK
) and insulin receptor activity regulation (
GRB14
).
Conclusions
Using cross-population GWAS meta-analyses, we identify novel LOAD susceptibility loci in/near
LRRC4C
and
LHX5-AS1
, both with known roles in neuronal development, as well as several novel population-unique loci. Reflecting the power of diverse ancestry in GWAS, we detect the
SHARPIN
locus with only 13.7% of the sample size of the NHW GWAS study (
n
= 409,589) in which this locus was first observed. Continued expansion into larger multi-ancestry studies will provide even more power for further elucidating the genomics of late-onset Alzheimer’s disease.
Publisher
BioMed Central,Springer Nature B.V,BMC
Subject
/ Alzheimer Disease - ethnology
/ Alzheimer Disease - genetics
/ Amyloid
/ ancestry
/ Animal Genetics and Genomics
/ Biomedical and Life Sciences
/ Black or African American - genetics
/ Datasets
/ Dementia
/ Genetic Predisposition to Disease
/ genome
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genome-wide association study (GWAS)
/ Genomes
/ genomics
/ Hispanic or Latino - genetics
/ Humans
/ Insights from trans-ancestral association study
/ loci
/ Male
/ Microbial Genetics and Genomics
/ neurons
/ Polymorphism, Single Nucleotide
/ risk
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