TY - JOUR
T1 - Sex-specific genetic predictors of Alzheimer’s disease biomarkers
AU - Alzheimer’S Disease Neuroimaging Initiative (Adni)
AU - The Alzheimer Disease Genetics Consortium (Adgc)
AU - Deming, Yuetiva
AU - Dumitrescu, Logan
AU - Barnes, Lisa L.
AU - Thambisetty, Madhav
AU - Kunkle, Brian
AU - Gifford, Katherine A.
AU - Bush, William S.
AU - Chibnik, Lori B.
AU - Mukherjee, Shubhabrata
AU - De Jager, Philip L.
AU - Kukull, Walter
AU - Huentelman, Matt
AU - Crane, Paul K.
AU - Resnick, Susan M.
AU - Keene, C. Dirk
AU - Montine, Thomas J.
AU - Schellenberg, Gerard D.
AU - Haines, Jonathan L.
AU - Zetterberg, Henrik
AU - Blennow, Kaj
AU - Larson, Eric B.
AU - Johnson, Sterling C.
AU - Albert, Marilyn
AU - Moghekar, Abhay
AU - del Aguila, Jorge L.
AU - Fernandez, Maria Victoria
AU - Budde, John
AU - Hassenstab, Jason
AU - Fagan, Anne M.
AU - Riemenschneider, Matthias
AU - Petersen, Ronald C.
AU - Minthon, Lennart
AU - Chao, Michael J.
AU - Van Deerlin, Vivianna M.
AU - Lee, Virginia M.Y.
AU - Shaw, Leslie M.
AU - Trojanowski, John Q.
AU - Peskind, Elaine R.
AU - Li, Gail
AU - Davis, Lea K.
AU - Sealock, Julia M.
AU - Cox, Nancy J.
AU - Weiner, Michael W.
AU - Aisen, Paul
AU - Jack, Clifford
AU - Jagust, William
AU - Beckett, Laurel
AU - Barber, Robert
AU - Fairchild, Thomas
AU - O’Bryant, Sid
N1 - Funding Information:
Funding This research was supported in part by K01 AG049164, K12 HD043483, K24 AG046373, HHSN311201600276P, S10 OD023680, R01 AG034962, R01 HL111516, R01 NS100980, R01 AG056534, P30 AG10161, RF1 AG15819, R01 AG17917, R01 AG30146, R01 AG019085, R01 AG15819, R01 AG30146, R01 AG027161, R01 AG021155, R01 AG037639, U01 AG46152, U01 AG006781, U01 AG032984, U01 HG004610, U01 HG006375, U24 AG021886, U24 AG041689, R01 AG044546, P01 AG003991, RF1 AG053303, R01 AG035083, R01 NS085419, and the Alzheimer’s Association (NIRG-11-200110), further supported in part by the Intramural Research Program, NIA, NIH and the Vanderbilt Memory and Alzheimer’s Center. YD is supported by an NIMH training grant (T32MH014877). Support for PDJ was provided by R01 AG048015. SK received support from NIA R03 AG050856, Alzheimer’s Association, Michael J Fox Foundation, and ARUK Biomarkers Across Neurodegenerative Diseases (BAND). MR received support from the German Federal Ministry of Education and Research (BMBF) National Genome Research Network (NGFN) Grant No. 01GS08125 and through the Helmholtz Alliance for Mental Health in an Aging Society (HELMA) Grant No. Ha-15. HZ is a Wallenberg Academy Fellow and is further supported but the Swedish and European Research Councils and the UK Dementia Research Institute. KB holds the Torsten Söderberg professorship at the Royal Swedish Academy of Sciences. The NACC database is funded by NIA/NIH Grant U01 AG016976. NACC data are contributed by the NIA-funded ADCs: P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P50 AG005134 (PI Bradley Hyman, MD, PhD), P50 AG016574 (PI Ronald Petersen, MD, PhD), P50 AG005138 (PI Mary Sano, PhD), P30 AG008051 (PI Steven Ferris, PhD), P30 AG013854 (PI M. Marsel Mesulam, MD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P50 AG016570 (PI David Teplow, PhD), P50 AG005131 (PI Douglas Galasko, MD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerd-low, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P50 AG005136 (PI Thomas Grabowski, MD, PhD), P50 AG033514 (PI Sanjay Asthana, MD, FRCP), and P50 AG005681 (PI John Morris, MD). Samples from the National Cell Repository for Alzheimer’s Disease (NCRAD), which receives government support under a cooperative agreement grant (U24 AG21886) awarded by the National Institute on Aging (NIA), were used in this study. We thank contributors who collected samples used in this study, as well as patients and their families, whose help and participation made this work possible; data for this study were prepared, archived, and distributed by
Funding Information:
ADNI Data collection and sharing for this project was funded by the Alzheimer’s Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department of Defense award number W81XWH-12-2-0012). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: AbbVie, Alzheimer’s Association; Alzheimer’s Drug Discovery Foundation; Araclon Biotech; BioClinica, Inc.; Biogen; Bristol-Myers Squibb Company; CereSpir, Inc.; Cogstate; Eisai Inc.; Elan Pharmaceuticals, Inc.; Eli Lilly and Company; EuroImmun; F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc.; Fujirebio; GE Healthcare; IXICO Ltd.; Janssen Alzheimer Immunotherapy Research and Development, LLC.; Johnson and Johnson Pharmaceutical Research and Development LLC.; Lumosity; Lund-beck; Merck and Co., Inc.; Meso Scale Diagnostics, LLC.; NeuroRx Research; Neurotrack Technologies; Novartis Pharmaceuticals Corporation; Pfizer Inc.; Piramal Imaging; Servier; Takeda Pharmaceutical Company; and Transition Therapeutics. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (http://www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer’s Therapeutic Research Institute at the University of Southern California. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of Southern California.
Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - Cerebrospinal fluid (CSF) levels of amyloid-β 42 (Aβ42) and tau have been evaluated as endophenotypes in Alzheimer’s disease (AD) genetic studies. Although there are sex differences in AD risk, sex differences have not been evaluated in genetic studies of AD endophenotypes. We performed sex-stratified and sex interaction genetic analyses of CSF biomarkers to identify sex-specific associations. Data came from a previous genome-wide association study (GWAS) of CSF Aβ42 and tau (1527 males, 1509 females). We evaluated sex interactions at previous loci, performed sex-stratified GWAS to identify sex-specific associations, and evaluated sex interactions at sex-specific GWAS loci. We then evaluated sex-specific associations between prefrontal cortex (PFC) gene expression at relevant loci and autopsy measures of plaques and tangles using data from the Religious Orders Study and Rush Memory and Aging Project. In Aβ42, we observed sex interactions at one previous and one novel locus: rs316341 within SERPINB1 (p = 0.04) and rs13115400 near LINC00290 (p = 0.002). These loci showed stronger associations among females (β = − 0.03, p = 4.25 × 10−8; β = 0.03, p = 3.97 × 10−8) than males (β = − 0.02, p = 0.009; β = 0.01, p = 0.20). Higher levels of expression of SERPINB1, SERPINB6, and SERPINB9 in PFC was associated with higher levels of amyloidosis among females (corrected p values < 0.02) but not males (p > 0.38). In total tau, we observed a sex interaction at a previous locus, rs1393060 proximal to GMNC (p = 0.004), driven by a stronger association among females (β = 0.05, p = 4.57 × 10−10) compared to males (β = 0.02, p = 0.03). There was also a sex-specific association between rs1393060 and tangle density at autopsy (pfemale = 0.047; pmale = 0.96), and higher levels of expression of two genes within this locus were associated with lower tangle density among females (OSTN p = 0.006; CLDN16 p = 0.002) but not males (p ≥ 0.32). Results suggest a female-specific role for SERPINB1 in amyloidosis and for OSTN and CLDN16 in tau pathology. Sex-specific genetic analyses may improve understanding of AD’s genetic architecture.
AB - Cerebrospinal fluid (CSF) levels of amyloid-β 42 (Aβ42) and tau have been evaluated as endophenotypes in Alzheimer’s disease (AD) genetic studies. Although there are sex differences in AD risk, sex differences have not been evaluated in genetic studies of AD endophenotypes. We performed sex-stratified and sex interaction genetic analyses of CSF biomarkers to identify sex-specific associations. Data came from a previous genome-wide association study (GWAS) of CSF Aβ42 and tau (1527 males, 1509 females). We evaluated sex interactions at previous loci, performed sex-stratified GWAS to identify sex-specific associations, and evaluated sex interactions at sex-specific GWAS loci. We then evaluated sex-specific associations between prefrontal cortex (PFC) gene expression at relevant loci and autopsy measures of plaques and tangles using data from the Religious Orders Study and Rush Memory and Aging Project. In Aβ42, we observed sex interactions at one previous and one novel locus: rs316341 within SERPINB1 (p = 0.04) and rs13115400 near LINC00290 (p = 0.002). These loci showed stronger associations among females (β = − 0.03, p = 4.25 × 10−8; β = 0.03, p = 3.97 × 10−8) than males (β = − 0.02, p = 0.009; β = 0.01, p = 0.20). Higher levels of expression of SERPINB1, SERPINB6, and SERPINB9 in PFC was associated with higher levels of amyloidosis among females (corrected p values < 0.02) but not males (p > 0.38). In total tau, we observed a sex interaction at a previous locus, rs1393060 proximal to GMNC (p = 0.004), driven by a stronger association among females (β = 0.05, p = 4.57 × 10−10) compared to males (β = 0.02, p = 0.03). There was also a sex-specific association between rs1393060 and tangle density at autopsy (pfemale = 0.047; pmale = 0.96), and higher levels of expression of two genes within this locus were associated with lower tangle density among females (OSTN p = 0.006; CLDN16 p = 0.002) but not males (p ≥ 0.32). Results suggest a female-specific role for SERPINB1 in amyloidosis and for OSTN and CLDN16 in tau pathology. Sex-specific genetic analyses may improve understanding of AD’s genetic architecture.
KW - APOE
KW - Alzheimer disease
KW - Amyloid
KW - Cerebrospinal fluid biomarkers
KW - Neuropathology
KW - Sex difference
KW - Tau
UR - http://www.scopus.com/inward/record.url?scp=85049573303&partnerID=8YFLogxK
U2 - 10.1007/s00401-018-1881-4
DO - 10.1007/s00401-018-1881-4
M3 - Article
C2 - 29967939
AN - SCOPUS:85049573303
SN - 0001-6322
VL - 136
SP - 857
EP - 872
JO - Acta Neuropathologica
JF - Acta Neuropathologica
IS - 6
ER -