genetics journal club sumeet a. khetarpal 13 november 2014
TRANSCRIPT
Type 2 Diabetes Mellitus (T2DM)
• Fasting plasma glucose > 126 mg/dl (7mmol/L) on two separate occasions
OR
• Random glucose > 200 mg/dl with classic SxOR
• 2-hr postprandial glucose > 200 mg/dl after consuming 75 grams carbohydrate (i.e. Oral Glucose Tolerance Test, OGTT)
OR
• HbA1c > 6.5%
T2DM is chronically elevated blood glucose Why is this bad, and what causes it?
Peroxisome Proliferator-Activated Receptor Gamma (PPARG)
• Nuclear hormone receptor• Master regulator of adipocyte differentiation• Receptor for thiazolidinediones – antidiabetic
drugs increasing insulin sensitivity• Heterodimerizes with RXR transcription factors to
regulate gene expression
Tontonoz & Spiegelman. Ann Rev Biochem. 2008.
Many Causes of Insulin Resistance
Are any of the genetic causes of T2DM related to PPARG and
insulin sensitivity?
Genetic Variation in PPARG and T2DM
• Common Variation– Pro12Ala (rs1801282)
• Alters DBD• 60 association studies suggest increased risk of T2DM• MAF 2-25% (ethnicity dependent)
• Rare Variation– 16 variants segregate with familial partial lipodystrophy type 3
• Severe insulin resistance, hyperinsulinemia, hypertriglyceridemia, low HDL, hepatic steatosis, hypertension
• Autosomal dominant
Jeninga et al. Trends Endocrinol Metab. 2009.
Hypotheses• Rare Loss-of-function (LoF) nonsynonymous variants in
PPARG underlie predisposition to T2DM in the general population
• Not all the identified PPARG coding variants would be functionally deleterious
What can we learn about a known complex trait by searching for rare
mutations in a known candidate gene for this trait in the general population?
Approach
• Exome sequencing in 19752 subjects
– 9070 T2DM cases vs. 10682 controls
3284
3625
109511
249981146
2812
2859
881
1928
European CasesEuropean ControlsSouth Asian CasesSouth Asian ControlsEast Asian CasesEast Asian Controls Hispanic CasesHispanic ControlsAfrican American CasesAfrican American Controls
Ethnicity Distribution of Subjects Sequenced
What did they find?53 nonsynonymous variants
• 52 rare – MAF < 1%
• 1 with MAF > 1% – P12A
• 49 novel, 3 previously reported with familial partial lipodystrophy 3 (FPLD3)
• 33 were singletons
• 2 nonsense mutations
120 individuals harbored a rare variant – aggregate frequency 0.6%
All carriers were heterozygous
Tools for Predicting ‘Functionality’ of Nonsynonymous Coding Variants
Tool DeveloperYear of
Development Basis for Scoring Reference
PolyPhen2 Shamil Sunyaev 2010
Sequence features (Uniprot annotations), structural tolerance of
the substitution, comparison to known human disease-causing
mutations (HumVar)
Adzhubei et al. Nat Methods. 2010.
Sift J. Craig Venter Inst. 2009 Conservation among closely related
sequences from PSI-BLASTKumar et al. Nat Protocols. 2009.
Likelihood Ratio Test
(LRT)Justin Fay 2009 Conservation among 32 vertebrate
speciesChun & Fay.
Genome Res. 2009.
MutationTaster
Dominik Seelow 2010
Evolutionary conservation, splice-site changes, Polyadenylation signal
analysis, Kozak consensus analysis, protein annotations (SwissProt)
Schwarz et al. Nat Methods. 2010.
CondelNuria
Lopez-Bigas
2011Combination of 5 tools (Logre,
MAPP, Mutation Assessor, Polyphen2, Sift)
Gonzalez-Perez & Lopez-Bigas. AJHG. 2011.
Most groups use some, all, or none of these tools to annotate
discovered variants!
Functional Assay to Test Novel Variants
Christancho & Lazar. Nat Rev Mol Cell Bio. 2011.
SGBS Human Pre-adipocytes
PPARγ Variants
Automated Image Analysis
% Differentiation = Adipocytes / Nulcei
Functional Assay to Test Novel Variants
But what about endogenous (WT)
PPARγ?
SGBS Human Pre-adipocytes
PPARγ Variants
Automated Image Analysis
% Differentiation = Adipocytes / Nulcei
16 Rare PPARG Variants Lower Adipocyte Differentiation In Vitro
Variant segregating with
known lipodystrophy
Summary
• Sequencing the exomes in ~20,000 subjects (T2DM cases vs. controls) identified several novel, rare variants in PPARG
• In silico prediction alone did not demonstrate differing frequency of rare variants in cases vs. controls
• Functional testing of variants demonstrated higher frequency of rare PPARG variants in T2DM cases
Strengths
• Large, multi-ethnic cohorts comprising study group
• Stringent initial in silico criterion for ascertaining ‘functionality’
• Robust + quantitative functional assay– Therapeutic insight from additional testing
after rosiglitazone stimulation
Weaknesses• For some ethnicities, N’s may not be big enough• Functional assay
– SGBS cells are NOT ‘true’ adipocytes– PPAR gamma has many functions beyond white adipose tissue differentiation
• Some variants with profound loss-of-function do not fit the FPLD3 paradigm
Ahmadian et al. Nat Med. 2013.
Rare Variants for Common Diseases
• Can provide insight into the cumulative contribution of a gene/pathway to disease at the population level
• Many variants will ultimately not have an identifiable functional effect• Requires careful dissection of ‘functionality’ for identified variants
Variant Deleteriousness Prediction Tools – You get what you pay for –
Rees et al. Hum Mol Genet. 2014
Genetic Architecture of T2DMLoci identified by GWAS and other common variant studies
Lots of common variants with small effect sizes