Biology subjects

Schwarz, T.

Publications and source records attributed to Schwarz, T..

21 records · Page 2Linked to original sources

bioRxiv2019

Leveraging eQTLs to identify individual-level tissue of interest for a complex trait

Genetic predisposition for complex traits often acts through multiple tissues at different time points during development. As a simple example, the genetic predisposition for obesity could be manifested either through inherited variants that control metabolism through regulation of genes expressed in the brain, or that control fat storage through dysregulation of genes expressed in adipose tissue, or both. Here we describe a statistical approach that leverages tissue-specific expression quantitative trait loci (eQTLs) corresponding to tissue-specific genes to prioritize a relevant tissue underlying the genetic predisposition of a given individual for a complex trait. Unlike existing approaches that prioritize relevant tissues for the trait in the population, our approach probabilistically quantifies the tissue-wise genetic contribution to the trait for a given individual. We hypothesize that for a subgroup of individuals the genetic contribution to the trait can be mediated primarily through a specific tissue. Through simulations using the UK Biobank, we show that our approach can predict the relevant tissue accurately and can cluster individuals according to their tissue-specific genetic architecture. We analyze body mass index (BMI) and waist to hip ratio adjusted for BMI (WHRadjBMI) in the UK Biobank to identify subgroups of individuals whose genetic predisposition act primarily through brain versus adipose tissue, and adipose versus muscle tissue, respectively. Notably, we find that these individuals have specific phenotypic features beyond BMI and WHRadjBMI that distinguish them from random individuals in the data, suggesting biological effects of tissue-specific genetic contribution for these traits.Competing Interest StatementThe authors have declared no competing interest.View Full Text

genetics↗

bioRxiv2018

PRDM9 forms an active trimer mediated by its repetitive zinc finger array

PRDM9 has been identified as a meiosis-specific protein that plays a key role in determining the location of meiotic recombination hotspots. Although it is well-established that PRDM9 is a trans-acting factor directing the double strand break machinery necessary for recombination to its DNA binding site, the details of PRDM9 binding and complex formation are not well known. It has been suggested in several instances that PRDM9 acts as a multimer in vivo; however, there is little understanding about the protein stoichiometry or the components inducing PRDM9 multimerization. In this work, we used in vitro binding studies and mass spectrometry to characterize the size of the PRDM9 multimer within the active DNA-protein complex of two different murine PRDM9 alleles, PRDM9Cst and PRDM9Dom2. For this purpose, we developed a strategy to infer the molecular weight of the PRDM9-DNA complex from native gel electrophoresis based on gel shift assays (EMSAs). Our results show that PRDM9 binds as a trimer with the DNA. This multimerization is catalysed by the long ZnF array (ZnF) at the C-terminus of the protein and 11, 10, 7 or 5 ZnFs are already sufficient to form a functional trimer. Finally, we also show that only one ZnF-array within the PRDM9 trimer actively binds to the DNA, while the remaining two ZnF-arrays likely maintain the multimer by ZnF-ZnF interactions. Our results have important implications in terms of PRDM9 dosage, which determines the number of active hotspots in meiotic cells, and contribute to elucidate the molecular interactions of PRDM9 with other components of the meiotic initiation machinery.

molecular biology↗

bioRxiv2018

Network analysis of canine brain morphometry links tumour risk to oestrogen deficiency and accelerated brain ageing

BackgroundStructural brain age is a valuable but complex biomarker for several brain disorders. The dog is an unrivalled comparator for neurological disease modeling, however brain phenotypic diversity among pedigrees creates computational and statistical challenges.\n\nMethodsWe applied unbiased network correlation analysis in dogs to explore complex interactions between brain morphometrics, patient metadata, and neurological disease. Twenty-four parameters measured from each of 286 brain magnetic resonance imaging scans generated 9,438 data points that were used to cluster canine patients according to their brain morphometry profiles. The network was then explored for statistically significant enrichments within breed, sex, age, and diagnostic categories.\n\nFindingsMorphometric comparisons revealed an advanced aged-brain profile in the Boxer breed, consisting of a small brain length, width, and volume, combined with ventriculomegaly. Key features of this profile were paralleled in neutered female dogs which, relative to un-neutered females, had an 11-fold greater risk of developing primary brain tumours. Enrichment analysis confirmed that Boxers and geriatric individuals were enriched for brain tumour diagnoses, despite a lack of geriatric Boxers within the cohort.\n\nInterpretationThese findings suggest that accelerated brain ageing might contribute to tumour risk in Boxers and may be influenced by oestrogen deficiency -- a risk factor for dementia and brain tumours in humans. We propose that morphometric features of brain ageing in dogs, like humans, might better predict neurological disease risk than a patients chronological age.\n\nFundingWellcome Trust Integrated Training Fellowship for Veterinarians (096409/Z/11/Z to N.M.R) and an MSD Animal Health Connect Bursary (to O.M.S.).

neuroscience↗