👤 H Amieva

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2
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Also published as: Manuel R Amieva
articles
Robert J Huang, Ignacio A Wichmann, Andrew Su +11 more · 2023 · bioRxiv : the preprint server for biology · Cold Spring Harbor Laboratory · added 2026-04-24
Gastric intestinal metaplasia ( This study was based on clinical and genomic data from four cohorts: 1) GAPS, a GIM cohort with detailed OLGIM severity scoring (N=303 samples); 2) the Cancer Genome At Show more
Gastric intestinal metaplasia ( This study was based on clinical and genomic data from four cohorts: 1) GAPS, a GIM cohort with detailed OLGIM severity scoring (N=303 samples); 2) the Cancer Genome Atlas (N=198); 3) a collation of in-house and publicly available scRNA-seq data (N=40), and 4) a spatial validation cohort (N=5) consisting of annotated histology slides of patients with either GC or advanced GIM. We used a multi-omics pipeline to identify, validate and sequentially parse a highly-refined signature of 26 genes which characterize high-risk GIM. Using standard RNA-seq, we analyzed two separate, non-overlapping discovery (N=88) and validation (N=215) sets of GIM. In the discovery phase, we identified 105 upregulated genes specific for high-risk GIM (defined as OLGIM III-IV), of which 100 genes were independently confirmed in the validation set. Spatial transcriptomic profiling revealed 36 of these 100 genes to be expressed in metaplastic foci in GIM. Comparison with bulk GC sequencing data revealed 26 of these genes to be expressed in intestinal-type GC. Single-cell profiling resolved the 26-gene signature to both mature intestinal lineages (goblet cells, enterocytes) and immature intestinal lineages (stem-like cells). A subset of these genes was further validated using single-molecule multiplex fluorescence using an integrated multi-omics approach, we identified a novel 26-gene expression signature for high-OLGIM precursors at increased risk for GC. We found this signature localizes to aberrant intestinal stem-like cells within the metaplastic microenvironment. These findings hold important translational significance for future prevention and early detection efforts. Show less
📄 PDF DOI: 10.1101/2023.09.20.558462
CPS1
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