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. 2022 Nov;27(11):4419-4431.
doi: 10.1038/s41380-022-01710-8. Epub 2022 Aug 16.

Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning

Jari Lahti  1   2 Samuli Tuominen  3 Qiong Yang  4 Giulio Pergola  5   6 Shahzad Ahmad  7 Najaf Amin  7 Nicola J Armstrong  8 Alexa Beiser  4   9 Katharina Bey  10   11 Joshua C Bis  12 Eric Boerwinkle  13   14 Jan Bressler  13 Archie Campbell  15   16 Harry Campbell  17 Qiang Chen  5 Janie Corley  18 Simon R Cox  18 Gail Davies  18 Philip L De Jager  19 Eske M Derks  20 Jessica D Faul  21 Annette L Fitzpatrick  22   23   24 Alison E Fohner  23   25 Ian Ford  26 Myriam Fornage  27 Zachary Gerring  20 Hans J Grabe  28   29 Francine Grodstein  30   31 Vilmundur Gudnason  32   33 Eleanor Simonsick  34 Elizabeth G Holliday  35 Peter K Joshi  17   36 Eero Kajantie  37   38   39 Jaakko Kaprio  40   41 Pauliina Karell  40 Luca Kleineidam  11   42 Maria J Knol  7 Nicole A Kochan  43   44 John B Kwok  45   46 Markus Leber  47 Max Lam  48   49 Teresa Lee  43   44 Shuo Li  4 Anu Loukola  50 Tobias Luck  51   52   53 Riccardo E Marioni  15   54 Karen A Mather  43   55 Sarah Medland  56 Saira S Mirza  7   57 Mike A Nalls  58   59 Kwangsik Nho  60   61   62 Adrienne O'Donnell  4   9 Christopher Oldmeadow  63 Jodie Painter  56 Alison Pattie  18 Simone Reppermund  43   64 Shannon L Risacher  60   62 Richard J Rose  65 Vijay Sadashivaiah  5 Markus Scholz  66   67 Claudia L Satizabal  9   68   69 Peter W Schofield  70 Katharina E Schraut  17   71 Rodney J Scott  72   73 Jeannette Simino  74 Albert V Smith  32   33 Jennifer A Smith  75   76 David J Stott  77 Ida Surakka  78 Alexander Teumer  79 Anbupalam Thalamuthu  43 Stella Trompet  80 Stephen T Turner  81 Sven J van der Lee  7   82 Arno Villringer  83   84 Uwe Völker  85 Robert S Wilson  86 Katharina Wittfeld  28   29 Eero Vuoksimaa  40 Rui Xia  87 Kristine Yaffe  88 Lei Yu  86 Habil Zare  89   90   91 Wei Zhao  75 David Ames  92   93 John Attia  35   63 David A Bennett  86 Henry Brodaty  43   94 Daniel I Chasman  95   96 Aaron L Goldman  5 Caroline Hayward  97 M Arfan Ikram  7 J Wouter Jukema  98 Sharon L R Kardia  75 Todd Lencz  99 Markus Loeffler  66   67 Venkata S Mattay  5   100 Aarno Palotie  40   101   102 Bruce M Psaty  12   103   104 Alfredo Ramirez  42   47 Paul M Ridker  95   96 Steffi G Riedel-Heller  105 Perminder S Sachdev  43   44 Andrew J Saykin  60   61   62 Martin Scherer  106 Peter R Schofield  46   107 Stephen Sidney  108 John M Starr  18   109 Julian Trollor  43   110 William Ulrich  5 Michael Wagner  11   42 David R Weir  21 James F Wilson  17   97 Margaret J Wright  111   112 Daniel R Weinberger  5   113   114   115 Stephanie Debette  116   117 Johan G Eriksson  118   119   120 Thomas H Mosley Jr  121 Lenore J Launer  122 Cornelia M van Duijn  7   123 Ian J Deary  18   54 Sudha Seshadri  9   68   69 Katri Räikkönen  3
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Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning

Jari Lahti et al. Mol Psychiatry. 2022 Nov.

Abstract

Understanding the genomic basis of memory processes may help in combating neurodegenerative disorders. Hence, we examined the associations of common genetic variants with verbal short-term memory and verbal learning in adults without dementia or stroke (N = 53,637). We identified novel loci in the intronic region of CDH18, and at 13q21 and 3p21.1, as well as an expected signal in the APOE/APOC1/TOMM40 region. These results replicated in an independent sample. Functional and bioinformatic analyses supported many of these loci and further implicated POC1. We showed that polygenic score for verbal learning associated with brain activation in right parieto-occipital region during working memory task. Finally, we showed genetic correlations of these memory traits with several neurocognitive and health outcomes. Our findings suggest a role of several genomic loci in verbal memory processes.

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Conflict of interest statement

HB is in an Advisory Board member in Nutricia; HJG reported Fresenius Medical Care, BMP serves on the DSMB of a clinical trial funded by Zoll LifeCor and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. The remaining authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Regional plot of associations of SNPs at the 5p14.3 region with verbal short-term memory in the discovery sample (N = 44,874).
Dots indicate p-values of SNPs and rs425724 in an intron of CDH18 is marked in violet.
Fig. 2
Fig. 2
Regional plot of associations of SNPs at the 3q21 region with verbal learning in the discovery sample (N = 28,909; Upper panel). Dots indicate p-values of SNPs and the top lead SNP rs4687625 is marked in violet and another independent and significant SNP rs2276816 is marked in red. Lower panel indicates 15-core chromatin state in Roadmap brain-related tissues (E053-E082) and E125 ENCODE NH-A Astrocytes primary cells and shows that both significant SNPs are in transcriptionally active region.
Fig. 3
Fig. 3
Regional plot of associations of SNPs at the 19q13.3 region with verbal learning (Upper panel). Dots indicate p values of SNPs and the top lead SNP rs4420638 is marked in violet and another independent and significant SNP rs6857 is marked in red. Lower panel indicates 15-core chromatin state in Roadmap brain-related tissues (E053-E082) and E125 ENCODE NH-A Astrocytes primary cells and shows that both significant SNPs are in or flanking transcriptionally active region.
Fig. 4
Fig. 4. Associations of the polygenic score for verbal learning (PGSVL) with activation in the right BA19 during the 2-back working memory task in a sample of N = 435 healthy adults (upper panel left view and lower panel right view).
Results are thresholded at peak-level p < 0.001 and masked for significantly increased activity during 2-back relative to 0-back. Rendered image illustrates clusters in which activity is negatively correlated with the PGSVL (the right cluster survives correction for multiple comparisons at BA19; MNI coordinates x = 45, y = −64, Z = 10; FWE corrected p = 0.016). Left in the figure is left in the brain.
Fig. 5
Fig. 5
Forest plot of genetic correlations between verbal short-term memory and 46 traits related to cognitive abilities or health (Genetic correlation [95% confidence interval]; significant genetic correlations after FDR correction in boldface).
Fig. 6
Fig. 6
Forest plot of genetic correlations between verbal learning and 46 traits related to cognitive abilities or health (Genetic correlation [95% confidence interval]; significant genetic correlations after FDR correction in boldface).

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