👤 M D Griswold

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13
Articles
5
Name variants
Also published as: Anthony J Griswold, M E Griswold, Michael D Griswold, Michael E Griswold
articles
Ana I Boeriu, Tianjie Gu, Brian Fullton-Howard +7 more · 2026 · medRxiv : the preprint server for health sciences · added 2026-04-24
To determine whether genetic ancestry modulates Cross-sectional analysis of community-dwelling older adults from the Health and Aging Brain Study-Health Disparities (HABS-HD) cohort (N = 2733). Partic Show more
To determine whether genetic ancestry modulates Cross-sectional analysis of community-dwelling older adults from the Health and Aging Brain Study-Health Disparities (HABS-HD) cohort (N = 2733). Participants spanning the cognitive spectrum underwent cognitive assessment, neuroimaging, plasma biomarker collection, and genome-wide genotyping from 2018 to 2023. Cognitive performance (global cognition, memory, executive function, verbal ability), brain morphometry (cortical thickness, hippocampal volume), and plasma biomarkers (Aβ In the full cohort, Genetic ancestry modifies the effect of Show less
📄 PDF DOI: 10.64898/2026.03.23.26349095
APOE
Petrice M Cogswell, Emily S Lundt, Terry M Therneau +18 more · 2026 · Brain : a journal of neurology · Oxford University Press · added 2026-04-24
Associations of Alzheimer's disease biomarker progression with cognitive decline are important to inform patient prognosis. Of particular interest is how newly available plasma biomarkers evolve relat Show more
Associations of Alzheimer's disease biomarker progression with cognitive decline are important to inform patient prognosis. Of particular interest is how newly available plasma biomarkers evolve relative to cognitive decline. The goals of this work are to measure how much earlier vs later an individual's progression on plasma and PET Alzheimer's disease biomarkers is associated with earlier vs later cognitive progression and to estimate the average timeline of progression of these processes in the population. In this cohort study of 2369 Mayo Clinic Study of Aging (MCSA) and 1591 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants, we fit non-linear mixed effects models to estimate how much earlier vs later each individual progresses on plasma p-tau217, amyloid PET, tau PET, and auditory verbal learning test (AVLT) sum of trials relative to the population mean (individual adjustment), the associations of these individual adjustments among biomarker pairs, and how covariates affect the timing of biomarker progression. The association of individual adjustments implies mechanistic associations and the amount of variability in cognitive decline accounted for by each biomarker. By applying cutpoints, we also estimated the relative timing that these biomarkers become abnormal in the population. Associations of individual adjustments were moderate between all biomarkers and AVLT (R=0.38-0.47) in the MCSA and stronger (R=0.74-0.81) in ADNI; plasma p-tau217 accounted for 16% of the variability in timing of AVLT decline in the MCSA and 64% in ADNI. APOE ɛ4 carriership was associated with earlier biomarker progression. AVLT became abnormal after the biomarkers up to age 90, after which AVLT was estimated to become abnormal prior to tau biomarkers. The association of the timing of plasma and PET AD biomarker progression with cognitive decline was modest in the MCSA population-based sample and stronger in the Alzheimer's disease-enriched ADNI cohort. The timing of plasma p-tau217 progression explained a similar degree of variability in AVLT progression as amyloid PET, supporting its utility as a marker of disease progression. The estimated temporal ordering of biomarkers and cognitive abnormality was as anticipated (amyloid, tau, cognition) up to the age of 90, beyond which AVLT was estimated to become abnormal prior to tau biomarkers, likely related to the effects of non-Alzheimer's disease co-pathologies. Show less
no PDF DOI: 10.1093/brain/awag075
APOE
Daniel Hupalo, Jacob L McCauley, Lissette Gomez +56 more · 2026 · Brain : a journal of neurology · Oxford University Press · added 2026-04-24
CNS diseases are a prevailing cause of morbidity and mortality worldwide, and are influenced by environmental and biological factors, including genetic risk. Here, we generated genome-wide genetic dat Show more
CNS diseases are a prevailing cause of morbidity and mortality worldwide, and are influenced by environmental and biological factors, including genetic risk. Here, we generated genome-wide genetic data on a large cohort of brain tissue donors with in-depth clinical and neuropathological phenotyping, allowing for broad investigations into the risk and mechanisms of these neurological, neurodevelopmental, and psychiatric conditions. This resource consists of 9,663 donors with array-based genotyping and 9,543 donors with whole-genome sequencing completed. The clinical diagnoses of these donors include 148 central nervous system diseases clustered into 15 broad categories by International Classification of Diseases-10 (ICD-10) coding. These donors were collected by six repositories comprising the National Institutes of Health NeuroBioBank, with an average participant age of 60 years. While primarily older individuals of European descent, the cohort also contains younger donors and individuals from non-European backgrounds. Variants were detected in whole-genome sequencing (WGS), normalized and annotated to describe their functional impact, resulting in 171,121,209 unique variants and 1,078,774 non-silent variants. These raw and normalized data have been made available as a neurogenomics resource in the National Institute of Mental Health Data Archive (NIMH NDA) (nda.nih.gov), combined with donor-matched deep demographic and phenotypic data from the NeuroBioBank Portal (neurobiobank.nih.gov). To illustrate applications, we replicated the strong association observed in previous studies between pathogenic CAG nucleotide repeat expansions in the HTT gene with the clinical diagnosis of Huntington's disease, as well as associations of the APOE gene with Alzheimer's disease, and examined the association of polygenic risk scores with the three most common disease diagnoses in the cohort. Show less
no PDF DOI: 10.1093/brain/awag057
APOE
Daniel A Dorfsman, Dingtian Cai, Kara L Hamilton-Nelson +32 more · 2026 · Journal of Alzheimer's disease : JAD · SAGE Publications · added 2026-04-24
BackgroundEducation promotes cognitive reserve (CR), potentially buffering Alzheimer's disease pathology (ADP). However, the education-CR relationship may differ by population and genetic background.O Show more
BackgroundEducation promotes cognitive reserve (CR), potentially buffering Alzheimer's disease pathology (ADP). However, the education-CR relationship may differ by population and genetic background.ObjectiveTo examine education, Show less
📄 PDF DOI: 10.1177/13872877261415933
APOE
Makaela A Mews, Adam C Naj, Anthony J Griswold +3 more · 2025 · Journal of Alzheimer's disease : JAD · SAGE Publications · added 2026-04-24
BackgroundGenome-wide association studies (GWAS) have identified numerous genetic variants associated with Alzheimer's disease (AD), but their functional implications remain unclear. Transcriptome-wid Show more
BackgroundGenome-wide association studies (GWAS) have identified numerous genetic variants associated with Alzheimer's disease (AD), but their functional implications remain unclear. Transcriptome-wide association studies (TWAS) offer enhanced statistical power by analyzing genetic associations at the gene level rather than at the variant level, enabling assessment of how genetically-regulated gene expression influences AD risk. However, previous AD-TWAS have been limited by small expression quantitative trait loci (eQTL) reference datasets or reliance on AD-by-proxy phenotypes.ObjectiveTo perform the most powerful AD-TWAS to date using summary statistics from the largest available brain and blood Show less
📄 PDF DOI: 10.1177/13872877251326288
MYBPC3
Kunakorn Atchaneeyasakul, Karen E Bates, Alyssa Toledo +6 more · 2024 · Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · Elsevier · added 2026-04-24
Stroke embolic source have an unknown origin in 30-40% of cases. Mechanical thrombectomy for acute large vessel occlusion stroke has provided us with a method to directly retrieve the thrombi from pat Show more
Stroke embolic source have an unknown origin in 30-40% of cases. Mechanical thrombectomy for acute large vessel occlusion stroke has provided us with a method to directly retrieve the thrombi from patients for analysis. By collecting stroke-causing thrombi from known sources, we can then use high-throughput RNA sequencing (RNAseq) technology to directly measure the gene expression signatures of these clots. This may allow us to identify genetic markers to predict the cause of cryptogenic embolism. This is a prospective study in which RNAseq was used to analyze cerebral thrombi retrieved by mechanical thrombectomy devices in acute ischemic stroke patients. Samples were separated into two groups based on known stroke thrombus etiology, including Carotid group (patients with ipsilateral >70% carotid stenosis) and Atrial fibrillation (AF) group (patients with atrial fibrillation). Gene expression was compared by RNAseq analysis between the groups. From October 2016 to September 2017, 8 thrombi (4 in Carotid group, 4 in Afib group) were included in this study. There were 131 genes that were significantly up- or down-regulated between the two groups defined as a false discovery rate ≤ 0.05 and a fold change ≥ 2. Twenty-six genes were selected as candidate gene biomarkers based on the criteria in the methods section. Candidate genes HSPA1B, which encodes a heatshock protein, and GPRC5B, which encodes a G-protein, showed the greatest fold differences in expression between the two groups. This study has shown that RNA sequencing of acute ischemic stroke thrombi is feasible and indentified potential novel biomarkers for identifying stroke-causing thrombi origin, especially in cryptogenic stroke. Show less
no PDF DOI: 10.1016/j.jstrokecerebrovasdis.2023.107518
GPRC5B
Makaela A Mews, Adam C Naj, Anthony J Griswold +3 more · 2024 · medRxiv : the preprint server for health sciences · Cold Spring Harbor Laboratory · added 2026-04-24
Transcriptome-wide Association Studies (TWAS) extend genome-wide association studies (GWAS) by integrating genetically-regulated gene expression models. We performed the most powerful AD-TWAS to date, Show more
Transcriptome-wide Association Studies (TWAS) extend genome-wide association studies (GWAS) by integrating genetically-regulated gene expression models. We performed the most powerful AD-TWAS to date, using summary statistics from We implemented the OTTERS TWAS pipeline, leveraging We identified and validated five novel gene associations in cortical brain tissue ( Our comprehensive AD-TWAS discovered new gene associations and provided insights into the functional relevance of previously associated variants. Show less
no PDF DOI: 10.1101/2024.04.17.24305737
MYBPC3
Holly N Cukier, Carolina L Duarte, Mayra J Laverde-Paz +12 more · 2023 · bioRxiv : the preprint server for biology · Cold Spring Harbor Laboratory · added 2026-04-24
A missense variant in the The AD risk variant TTC3 p.S1038C reduces the expression levels of
no PDF DOI: 10.1101/2023.05.25.542316
BACE1
G Davies, N Armstrong, J C Bis +126 more · 2015 · Molecular psychiatry · Nature · added 2026-04-24
G Davies, N Armstrong, J C Bis, J Bressler, V Chouraki, S Giddaluru, E Hofer, C A Ibrahim-Verbaas, M Kirin, J Lahti, S J van der Lee, S Le Hellard, T Liu, R E Marioni, C Oldmeadow, I Postmus, A V Smith, J A Smith, A Thalamuthu, R Thomson, V Vitart, J Wang, L Yu, L Zgaga, W Zhao, R Boxall, S E Harris, W D Hill, D C Liewald, M Luciano, H Adams, D Ames, N Amin, P Amouyel, A A Assareh, R Au, J T Becker, A Beiser, C Berr, L Bertram, E Boerwinkle, B M Buckley, H Campbell, J Corley, P L De Jager, C Dufouil, J G Eriksson, T Espeseth, J D Faul, I Ford, Generation Scotland, R F Gottesman, M E Griswold, V Gudnason, T B Harris, G Heiss, A Hofman, E G Holliday, J Huffman, S L R Kardia, N Kochan, D S Knopman, J B Kwok, J-C Lambert, T Lee, G Li, S-C Li, M Loitfelder, O L Lopez, A J Lundervold, A Lundqvist, K A Mather, S S Mirza, L Nyberg, B A Oostra, A Palotie, G Papenberg, A Pattie, K Petrovic, O Polasek, B M Psaty, P Redmond, S Reppermund, J I Rotter, H Schmidt, M Schuur, P W Schofield, R J Scott, V M Steen, D J Stott, J C van Swieten, K D Taylor, J Trollor, S Trompet, A G Uitterlinden, G Weinstein, E Widen, B G Windham, J W Jukema, A F Wright, M J Wright, Q Yang, H Amieva, J R Attia, D A Bennett, H Brodaty, A J M de Craen, C Hayward, M A Ikram, U Lindenberger, L-G Nilsson, D J Porteous, K Räikkönen, I Reinvang, I Rudan, P S Sachdev, R Schmidt, P R Schofield, V Srikanth, J M Starr, S T Turner, D R Weir, J F Wilson, C van Duijn, L Launer, A L Fitzpatrick, S Seshadri, T H Mosley, I J Deary Show less
General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and wel Show more
General cognitive function is substantially heritable across the human life course from adolescence to old age. We investigated the genetic contribution to variation in this important, health- and well-being-related trait in middle-aged and older adults. We conducted a meta-analysis of genome-wide association studies of 31 cohorts (N=53,949) in which the participants had undertaken multiple, diverse cognitive tests. A general cognitive function phenotype was tested for, and created in each cohort by principal component analysis. We report 13 genome-wide significant single-nucleotide polymorphism (SNP) associations in three genomic regions, 6q16.1, 14q12 and 19q13.32 (best SNP and closest gene, respectively: rs10457441, P=3.93 × 10(-9), MIR2113; rs17522122, P=2.55 × 10(-8), AKAP6; rs10119, P=5.67 × 10(-9), APOE/TOMM40). We report one gene-based significant association with the HMGN1 gene located on chromosome 21 (P=1 × 10(-6)). These genes have previously been associated with neuropsychiatric phenotypes. Meta-analysis results are consistent with a polygenic model of inheritance. To estimate SNP-based heritability, the genome-wide complex trait analysis procedure was applied to two large cohorts, the Atherosclerosis Risk in Communities Study (N=6617) and the Health and Retirement Study (N=5976). The proportion of phenotypic variation accounted for by all genotyped common SNPs was 29% (s.e.=5%) and 28% (s.e.=7%), respectively. Using polygenic prediction analysis, ~1.2% of the variance in general cognitive function was predicted in the Generation Scotland cohort (N=5487; P=1.5 × 10(-17)). In hypothesis-driven tests, there was significant association between general cognitive function and four genes previously associated with Alzheimer's disease: TOMM40, APOE, ABCG1 and MEF2C. Show less
📄 PDF DOI: 10.1038/mp.2014.188
AKAP6
Anthony J Griswold, Deqiong Ma, Holly N Cukier +16 more · 2012 · Human molecular genetics · Oxford University Press · added 2026-04-24
Autism spectrum disorders (ASDs) are highly heritable, yet relatively few associated genetic loci have been replicated. Copy number variations (CNVs) have been implicated in autism; however, the major Show more
Autism spectrum disorders (ASDs) are highly heritable, yet relatively few associated genetic loci have been replicated. Copy number variations (CNVs) have been implicated in autism; however, the majority of loci contribute to <1% of the disease population. Therefore, independent studies are important to refine associated CNV regions and discover novel susceptibility genes. In this study, a genome-wide SNP array was utilized for CNV detection by two distinct algorithms in a European ancestry case-control data set. We identify a significantly higher burden in the number and size of deletions, and disrupting more genes in ASD cases. Moreover, 18 deletions larger than 1 Mb were detected exclusively in cases, implicating novel regions at 2q22.1, 3p26.3, 4q12 and 14q23. Case-specific CNVs provided further evidence for pathways previously implicated in ASDs, revealing new candidate genes within the GABAergic signaling and neural development pathways. These include DBI, an allosteric binder of GABA receptors, GABARAPL1, the GABA receptor-associated protein, and SLC6A11, a postsynaptic GABA transporter. We also identified CNVs in COBL, deletions of which cause defects in neuronal cytoskeleton morphogenesis in model vertebrates, and DNER, a neuron-specific Notch ligand required for cerebellar development. Moreover, we found evidence of genetic overlap between ASDs and other neurodevelopmental and neuropsychiatric diseases. These genes include glutamate receptors (GRID1, GRIK2 and GRIK4), synaptic regulators (NRXN3, SLC6A8 and SYN3), transcription factor (ZNF804A) and RNA-binding protein FMR1. Taken together, these CNVs may be a few of the missing pieces of ASD heritability and lead to discovering novel etiological mechanisms. Show less
no PDF DOI: 10.1093/hmg/dds164
NRXN3
Matthew D Anway, Ying Li, Neelakanta Ravindranath +2 more · 2003 · Journal of andrology · Wiley · added 2026-04-24
Using differential display reverse transcriptase-polymerase chain reaction (DDRT-PCR) we identified transcripts encoding for the RNA helicase mDEAH9, Ran binding protein 5 (RanBP5), and 3 novel comple Show more
Using differential display reverse transcriptase-polymerase chain reaction (DDRT-PCR) we identified transcripts encoding for the RNA helicase mDEAH9, Ran binding protein 5 (RanBP5), and 3 novel complementary DNAs designated GC3, GC12, and GC14 in developing testicular germ cells. Sources of RNA for the initial DDRT-PCR screen were purified mouse type A spermatogonia, adult mouse wild-type testis, and W/W(v) mutant mouse testis. We identified cDNA fragments for mDEAH9, RanBP5, GC3, GC12, and GC14 in testis and type A spermatogonia samples from wild-type mice, but not in samples from the W/W(v) mouse testis. These same transcripts were absent in Northern blots of testis RNA from mice treated with busulfan 30 days prior, but were present in testis RNA from wild-type mice at 5, 15, 25, and 40 days of age. The mDEAH9 gene was expressed in many tissues, whereas RanBP5 and GC12 genes were expressed predominantly in the testis with much lower expression in other tissues. The expression of GC3 and GC14 were limited to the testis as evidenced by Northern blot and RT-PCR analyses. The mDEAH9 transcript was not detected in cultured interstitial cells but was found at low levels in cultured immature Sertoli cells, whereas the RanBP5, GC3, GC12, and GC14 transcripts were not detected in either cultured testicular interstitial cells or cultured Sertoli cells. RT-PCR analyses of isolated spermatogonia, pachytene spermatocytes, and round spermatids revealed that mDEAH9, RanBP5, GC3, GC12, and GC14 genes were expressed in all 3 cellular populations. In situ hybridization analyses of testis samples from 40-day-old mice localized expression of mDEAH9, RanBP5, GC3, GC12, and GC14 to the seminiferous tubules. RanBP5 expression appeared to be regulated during the cycle of the seminiferous epithelium, with the highest expression in stages III through VII. Expression of GC14 was greatest in the meiotic germ cell populations. Show less
no PDF DOI: 10.1002/j.1939-4640.2003.tb02660.x
DYM
Matthew D Anway, Neelakanta Ravindranath, Martin Dym +1 more · 2002 · Biology of reproduction · added 2026-04-24
Using differential display reverse transcriptase-polymerase chain reaction (RT-PCR) we have cloned a cDNA that encodes a putative peptide with homology to a recently reported A-kinase anchoring protei Show more
Using differential display reverse transcriptase-polymerase chain reaction (RT-PCR) we have cloned a cDNA that encodes a putative peptide with homology to a recently reported A-kinase anchoring protein-associated protein (ASP) in human sperm. The mouse cDNA was 864 bases in length and encoded for a putative protein of 230 amino acids that had 90% amino acid similarity with the human ASP. The N terminal amino acid sequence had 65% similarity to the rat, mouse, and human protein kinase A regulatory type II sequences. Expression of the gene encoding this ASP was specific to testicular germ cells. Northern blot analysis of testis RNA from 5-, 15-, 25-, and 40-day-old mice showed expression of the ASP gene, but similar analyses of busulfan-treated germ cell-deficient mice failed to detect its expression. In addition, Northern blot analysis did not detect expression of the ASP mRNA in cultured Sertoli cells or cultured interstitial cells. Northern blot and RT-PCR analyses did not detect the ASP mRNA in mouse spleen, brain, liver, lung, heart, kidney, skeletal muscle, ovary, or Sertoli cells. In situ hybridization analysis localized the ASP mRNA to the germ cell compartment of the seminiferous tubules in the testis. Show less
no PDF DOI: 10.1095/biolreprod66.6.1755
DYM
D Djakiew, M D Griswold, D M Lewis +1 more · 1986 · Biology of reproduction · added 2026-04-24
The concentration of transferrin in fluids collected by micropuncture techniques from the rete testis and zones 1A, 2, 5A, and 6B of the rat ductus epididymidis was 44, 527, 113, and 49 ng/microliter, Show more
The concentration of transferrin in fluids collected by micropuncture techniques from the rete testis and zones 1A, 2, 5A, and 6B of the rat ductus epididymidis was 44, 527, 113, and 49 ng/microliter, respectively. When changes in fluid volume were taken into account, it was found that transferrin was concentrated by the efferent ducts, whereas the amount of endogenous luminal transferrin declined from the caput to the cauda epididymidis. Using transferrin-gold as an electron dense marker, we showed that the decline in the concentration of transferrin along the epididymis could be attributed to its cumulative receptor-mediated endocytosis by the lining principal cells. No significant difference in the net receptor-mediated endocytosis of transferrin-gold was found between the proximal caput and corpus epididymidis in vivo. Show less
no PDF DOI: 10.1095/biolreprod34.4.691
DYM