Some of my accepted pre-prints:
[Manuscript] [Figure 1] [Figure 2] [Figure 3] [Supplementary Information] [Supplementary Table] [Online Supplementary Data]
Cortical surfaces mediate the relationship between polygenic scores for intelligence and general intelligence. Lett TA, Vogel BO, Ripke S, Wackerhagen C, Erk S, Awasthi S, Trubetskoy V, Brandl EJ, Mohnke S, Veer IM, Nöthen M, Rietschel M, Degenhardt F, Romanczuk-Seiferth N, Witt SH, Banaschewski T, Bokde ALW, Büchel C, Quinlan EB, Desrivières S, Flor H, Frouin V, Garavan H, Gowland P, Ittermann B, Martinot J, Martinot MP, Nees F, Orfanos DP, Paus T, Poustka L, Fröhner J, Smolka MN, Whelan R, Schumann G, IMAGEN consortium, Tost H, Meyer-Lindenberg A, Heinz A, Walter H. Cerebral Cortex. (Accepted)
Recent large-scale, genome-wide association studies (GWAS) have identified hundreds of genetic loci associated with general intelligence. The cumulative influence of these loci on brain structure is unknown. We examined if cortical morphology mediates the relationship between GWAS-derived polygenic scores for intelligence (PSi) and g-factor. Using the effect sizes from one of the largest GWAS meta-analysis on general intelligence to date, PSi were calculated among ten p-value thresholds. PSi was assessed for the association with g-factor performance, cortical thickness (CT), and surface area (SA) in two large imaging-genetics samples (IMAGEN N=1,651; IntegraMooDS N=742). PSi explained up to 5.1% of the variance of g-factor in IMAGEN (F1,1640=12.2-94.3; P<0.005), and up to 3.0% in IntegraMooDS (F1,725=10.0-21.0; P<0.005). The association between polygenic scores and g-factor was partially mediated by SA and CT in prefrontal, anterior cingulate, insula, and medial temporal cortices in both samples (PFWER-corrected<0.005). The variance explained by mediation was up to 0.75% in IMAGEN and 0.77% in IntegraMooDS. Our results provide evidence that cumulative genetic load influences g-factor via cortical structure. The consistency of our results across samples suggests that cortex morphology could be a novel potential biomarker for neurocognitive dysfunction that are among the most intractable psychiatric symptoms.
[Article] [Manuscript] [Supplementary Information] [Figure 1] [Figure 2] [Figure 3] [Figure 4]
Multimodal neuroimaging measures and intelligence influence pedophile child sexual offense behavior. Lett TA, Mohnke S, Amelung T, Brandl EJ, Schiltz K, Pohl A, Gerwinn H, Kärgel C, Massau C, Tenbergen G, Wittfoth M, Kneer J, Beier KM, Walter M, Ponseti J, Krüger THC, Schiffer B, Walter H. Eur Neuropsychopharmacol. 2018 Jul;28(7):818-827 doi: 10.1016/j.euroneuro.2018.05.002
[Article] [Manuscript] [Supplementary Information] [Figure 1] [Figure 2]
The influence of MIR137 on white matter fractional anisotropy and cortical surface area in individuals with familial risk for psychosis. Vogel BO*, Lett TA*, Erk S, Mohnke S, Wackerhagen C, Brandl EJ, Romanczuk-Seiferth N, Otto K, Schweiger JI, Tost H, Nöthen MM, Rietschel M, Degenhardt F, Witt SH, Meyer-Lindenberg A, Heinz A, Walter H. Schizophrenia Research 195, 190-196. doi: 10.1016/j.schres.2017.09.030 *co-first author
[TFCE_mediation website] [Article] [Manuscript] [Supplementary Information]
Cortical surface-based threshold-free cluster enhancement and cortexwise mediation. Lett TA, Waller L, Tost H, Veer IM, Nazeri A, Erk S, Brandl EJ, Charlet K, Beck A, Vollstädt-Klein S, Jorde A, Kiefer F, Heinz A, Meyer-Lindenberg A, Chakravarty MM, Walter H. Hum Brain Mapp. 2017 Jun;38(6):2795-2807. doi: 10.1002/hbm.23563.
[Article] [Manuscript]
Pharmacogenetics and Imaging-Pharmacogenetics of Antidepressant Response: Towards Translational Strategies. Lett TA, Walter H, Brandl EJ. CNS Drugs. 2016 Dec;30(12):1169-1189. doi: 10.1007/s40263-016-0385-9