Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757916
Title: Functional annotation of variants in monogenic diabetes genes to support diagnostic interpretation
Author: Althari, Sara
ISNI:       0000 0004 7430 7240
Awarding Body: University of Oxford
Current Institution: University of Oxford
Date of Award: 2018
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Abstract:
Maturity-Onset Diabetes of the Young (MODY) is a monogenic form of hyperglycaemia that is both genetically and clinically heterogeneous. The majority of MODY cases (80%) are caused by heterozygous damaging alleles in clinically actionable genes (HNF1A, HNF4A and GCK). For carriers of these alleles, an accurate molecular diagnosis informs prognosis, management and treatment strategies, and is contingent upon understanding the functional consequences of known and novel variants. High-fidelity molecular assays, which enable comprehensive and contextual functional characterisation, at scale and speed, are needed to address the interpretive challenge. Herein, such efforts, with varying degrees of throughput, are described in the context of missense variants in HNF1A and GCK. Using multi-dimensional functional data from 73 HNF1A missense alleles identified through exome-sequencing of ∼13K T2D cases and controls, and a combination of unsupervised learning methods, I produced high resolution variant clusters along the HNF1A phenotypic spectrum. To demonstrate robustness of the approach, I used the functionally annotated allele subgroups to re-evaluate molecular diagnoses in a national MODY diagnostic registry (Exeter, UK). This resulted in confident reclassification of n=7 alleles from pathogenic/likely pathogenic to VUS/likely benign in the clinical database. I also established a systematic pipeline for building a transactivation-centric Multiplexed Assay of Variant Effects (MAVE) to characterize an HNF1A saturation mutagenesis library. Using TM4SF4 as an endogenous functional readout in flow cytometric analyses, I was able to segregate a series of HNF1A alleles (n=8) based on transactivation-dependent distributions of TM4SF4-positive HepG2 cell populations: 2-8% from MODY-causal loss-of-function alleles, 30% from a low frequency allele associated with T2D risk, and 60-70% from neutral alleles and wild-type. This discriminatory capacity suggests the assay is sufficiently robust to score a pooled HNF1A variant library using TM4SF4 expression as a molecular signature. For variants in GCK, I characterised the function of two previously unannotated missense variants (hypomorphic homozygous p.E157K/p.E157K and heterozygous p.F133L/N) identified through genetic testing to aid in their clinical interpretation. Both showed catalytic and/or stability defects in in vitro kinetic assays consistent with GCK-MODY (p.E157K relative activity index = 0.15; p.F133L relative stability index = 0.53). Together, these functional genomic annotation efforts help resolve the complex relationship between genotype, molecular dysfunction and clinical phenotype for alleles in HNF1A and GCK and assist in medical diagnostic interpretation.
Supervisor: McCarthy, Mark ; Gloyn, Anna Sponsor: NIHR Oxford Biomedical Research Centre
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.757916  DOI: Not available
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