Familial Hypercholesterolaemia

Slides:



Advertisements
Similar presentations
1 Which benefit is the customer claiming? JSA Pension Credit ESA IB IS The Work Programme – Opportunity Selection Tool v5 Superseded by later version.
Advertisements

Fill in missing numbers or operations
1
Ten years of the CHD NSF Professor Roger Boyle CBE National Director for Heart Disease and Stroke Department of Health.
STATISTICS INTERVAL ESTIMATION Professor Ke-Sheng Cheng Department of Bioenvironmental Systems Engineering National Taiwan University.
Properties Use, share, or modify this drill on mathematic properties. There is too much material for a single class, so you’ll have to select for your.
Multiplication X 1 1 x 1 = 1 2 x 1 = 2 3 x 1 = 3 4 x 1 = 4 5 x 1 = 5 6 x 1 = 6 7 x 1 = 7 8 x 1 = 8 9 x 1 = 9 10 x 1 = x 1 = x 1 = 12 X 2 1.
Division ÷ 1 1 ÷ 1 = 1 2 ÷ 1 = 2 3 ÷ 1 = 3 4 ÷ 1 = 4 5 ÷ 1 = 5 6 ÷ 1 = 6 7 ÷ 1 = 7 8 ÷ 1 = 8 9 ÷ 1 = 9 10 ÷ 1 = ÷ 1 = ÷ 1 = 12 ÷ 2 2 ÷ 2 =
Objectives: Generate and describe sequences. Vocabulary:
CLOSING THE DIVIDE: HOW MEDICAL HOMES PROMOTE EQUITY IN HEALTH CARE Results from the Commonwealth Fund 2006 Health Care Quality Survey THE COMMONWEALTH.
CALENDAR.
Board of Early Education and Care Retreat June 30,
Mean, Median, Mode & Range
1  1 =.
© 2009 NHS National Genetics Education and Development CentreGenetics and Genomics for Healthcare This PowerPoint file contains.
Confidential Inquiry into the deaths of people with learning disabilities Dr Pauline Heslop Manager of the Confidential Inquiry Senior Research Fellow.
Who Wants To Be A Millionaire?
Who Wants To Be A Millionaire? Decimal Edition Question 1.
Chronic kidney disease
Attention deficit hyperactivity disorder Implementing NICE guidance 2008 NICE clinical guideline 72.
Chronic kidney disease
Implementing NICE guidance
Familial hypercholesterolaemia
SPAIIN Where are we now?. Key concepts in clinical networks Equitable Efficient High quality Locally delivered Patient/Carer involvement ‘designed to.
Mutation screening in patients affected with autosomal dominant hypercholesterolemia – results from the Department of Health Pilot Project Alison Taylor.
Implications of Consanguinity for Routine Diagnostic Testing and Development of Specialist Services Teresa Lamb Clinical Scientist Leeds DNA Laboratory.
PP Test Review Sections 6-1 to 6-6
Look at This PowerPoint for help on you times tables
Eric Sijbrands Erasmus University Medical Center Rotterdam Mortality from familial hypercholesterolemia (FH)
Perth & Kinross Community Alarm/ Telecare Project Wednesday 18 th May 2011 Carolyn Wilson Falls Service Manager P&K CHP Liz Adams Community Alarm Falls.
Jeannie Hayhurst Cardiovascular Specialist Nurse.
Copyright © 2012, Elsevier Inc. All rights Reserved. 1 Chapter 7 Modeling Structure with Blocks.
A review of the Wilson disease service over the past 15 years Miranda Durkie Sheffield Diagnostic Genetics Service
Familial adenomatous polyposis
© 2012 National Heart Foundation of Australia. Slide 2.
Adding Up In Chunks.
Clinical background: Patient RM, YoB 1966 Her family were originally referred because of a history of breast and ovarian cancer. BRCA testing found a missense.
Least Common Multiples and Greatest Common Factors
Eur Heart J 2013; 34:
Hereditary GI Cancer Syndromes: Keys to identify high risk patients
CV Health: Three Ways to ‘kNOw’
Model and Relationships 6 M 1 M M M M M M M M M M M M M M M M
Part Two Welcome back. Familial Cancer Genetics Cancer Genetics 5-10% of all cancer clearly linked to an inherited gene alteration If cancer seen at.
VUS: The clinician’s view Mary Porteous On behalf of Scottish Clinical Geneticists.
Subtraction: Adding UP
Analyzing Genes and Genomes
©Brooks/Cole, 2001 Chapter 12 Derived Types-- Enumerated, Structure and Union.
Essential Cell Biology
Converting a Fraction to %
Intracellular Compartments and Transport
PSSA Preparation.
Essential Cell Biology
HIV and Aging Kathleen K Casey, MD Director, AIDS Ambulatory Care Center Jersey Shore University Medical Center.
How do we delay disease progress once it has started?
Energy Generation in Mitochondria and Chlorplasts
Jonathan Morrell Hastings
The Genetics of Breast and Ovarian Cancer Susceptibility Patricia Tonin, PhD Associate Professor Depts. Medicine, Human Genetics & Oncology McGill University.
Dr Catherine Taylor GPST2 Familial Hypercholesterolaemia.
Few more cases Cancer and cholesterol. Cancer and genetic testing Available guidance (NICE) Familial breast cancer /colonic/ovarian Familial Hypercholesteremia.
Familial Hypercholesterolaemia New local pathways Dr Peter Carey Consultant in Diabetes and Endocrinology Sunderland Royal Hospital Lipid Specialists Advisory.
Cancer Genetics. Issues Colorectal guidelines – Awaiting publication of coloproctologists guidance – SIGN / QIS update started Breast / ovarian – Breast.
Breast Screening. NHS Breast Screening Programme Introduced in 1988 Invites women from age group for screening every 3 yrs. Age extension roll-out.
Jonathan Callaway Wessex Regional Genetics Laboratory
Why study statins? #1 & #2 selling drugs in the world are statins – these two drugs account for 5% of the entire United States spending on drugs ($11.2.
Low-density Lipoprotein Cholesterol, Familial Hypercholesterolemia Mutation Status, and Risk for Coronary Artery Disease Amit V. Khera, Hong-Hee Won, Gina.
Cascade Testing for Familial Hypercholesterolaemia(FH) Delyth Townsend BHF FH Nurse 28/06/2016.
Figure 1: Questions included in questionnaire
Jonathan Morrell Hastings
Presentation transcript:

Familial Hypercholesterolaemia The prevalence of heterozygous FH in the UK population is estimated to be 1 in 500 ~110,000 people are affected ↑ serum cholesterol concentration characterises heterozygous FH It leads to >50% risk of coronary heart disease in men by the age of 50 years and at least 30% in women by the age of 60 years.

Simon Broome diagnostic criteria for index individuals Diagnose a person with definite familial hypercholesterolaemia (FH) if they have: • cholesterol concentrations as defined in table 1 and tendon xanthomas, or evidence of these signs in first- or second-degree relative OR DNA-based evidence of an LDL-receptor mutation, familial defective apo B-100, or a PCSK9 mutation.

Simon Broome diagnostic criteria for index individuals Table 1 Cholesterol levels to be used as diagnostic criteria for the index individual1 Total cholesterol LDL-C Child/young person > 6.7 mmol/l > 4.0 mmol/l Adult > 7.5 mmol/l > 4.9 mmol/l 1 Levels either pre-treatment or highest on treatment. LDL-C, low-density lipoprotein cholesterol.

Simon Broome diagnostic criteria for index individuals Diagnose a person with possible FH if they have cholesterol concentrations as defined in table 1 and at least one of the following. Family history of MI < 50 years in second-degree relative or < 60 years in first-degree relative. Family history of raised total cholesterol: > 7.5 mmol/l in adult first- or second-degree relative or > than 6.7 mmol/l in child, brother or sister under 16 years.

NICE Guidelines FH Family history of premature coronary heart disease should always be assessed in a person being considered for a diagnosis of FH (see Simon Broome criteria) In children at risk of FH because of one affected parent, the following diagnostic tests should be carried out by the age of 10 years: A DNA test if the family mutation is known LDL-C concentration measurement if the family mutation is not known. A further LDL-C measurement should be repeated after puberty because LDL-C concentrations change during puberty

NICE Guidelines FH Coronary heart disease risk estimation tools such as those based on the Framingham algorithm should not be used because people with FH are already at a high risk of premature coronary heart disease.

NICE Guidelines FH - Identifying people with FH using cascade testing Healthcare professionals should offer all people with FH a referral to a specialist with expertise in FH for confirmation of diagnosis initiation of cascade testing Cascade testing using a combination of DNA testing and LDL-C concentration measurement is recommended. This should include at least the first- and second- and, when possible, third-degree biological relatives. The use of a nationwide, family-based, follow-up system is recommended to enable comprehensive identification of people affected by FH.

Scottish protocol Eligible for testing: Simon Broome criteria positive Lipid clinics to help to select patients for testing and manage affected cases Genetics to do the cascade testing and refer as appropriate

Laboratory Results 556 patients tested in Aberdeen July (750) 158 (28.4%) have mutation 124 (78.5%) mutations identified in LDLR by sequencing 20 were identified using MLPA (12.6%) 14 had APOB R3572Q mutation (8.9%) 0 had the PCSK9 D374Y mutation (0.0%)

Laboratory Results The LDLR mutations included – 64 missense (51.5%) 25 small deletions (20.2%) – 80% due to c.660delC & c.933delA 24 nonsense (19.4%) 9 splicing (7.3%) 2 small insertions (1.6%)

Laboratory Results 36.3% (45/124) of all the LDLR sequence changes were found in exon 4. Mainly c.660delC & c.682G>T - two of the more commonly found mutations in our samples Without these changes the % of mutations in exon 4 would be 18.8%, which is closer to the LDLR mutation database which states 19.5%

Laboratory Results 7 novel changes not previously reported LDLR mutation database 4 predicted to a premature stop codon Remaining 3: one is a missense change and the other two are predicted to affect splicing. These three changes require further work to clarify their significance.

Laboratory Results

Laboratory Results Within Scotland FH test requests now outnumber those for BRCA1 gene screening. Uptake of predictive testing has lagged behind diagnostic testing. However, numbers of predictive tests are rapidly increasing month by month.

Laboratory Results The provision of a service for FH testing in Scotland has led to over 500 samples being tested to date and mutations being identified in 158 patients. The identification of familial mutations will allow for testing of family members to identify at risk individuals. Mutations have been identified throughout the LDLR gene, 5 of these mutations have been identified in 5 or more apparently unrelated patients. Our data support a continuing strategy of full gene screening in this patient group in our population. A targeted screening approach, such as the Elucigene FH20 would only detect ~33% of the mutations found. NICE review ongoing Similar to most other disorders - unclassified variants are problematic from a diagnostic point of view and require further time and work to clarify their significance.

Mutation detection rates for FH in Scotland (2007-2010)   Definite (0.3%) Possible (12%) Unclassifiable (87.7%) TOTAL (100%) Total tested 2 80 583 665 Total number of mutations found 27 181 210 Mutation detection rate 100% 34% 31% 32%

Mutation detection rate by centre Average mutation detection rate Aberdeen 24% Dundee 27% Edinburgh 34% Glasgow 32% Note: PM requests n=7 (1 mutation positive) = 12% of all Aberdeen requests

Request and Mutation Rate by Centre (2007-2010)   Aberdeen Dundee Edinburgh Glasgow Others Total requests 9% 8% 53% 27% 3% Overall mutation detection rate 24% 34% 32% 10% PM requests – n=4 – 2009 (1 positive) and n=3 -2010 Note: PM requests n=7 (1 mutation positive) = 12% of all Aberdeen requests

Mutation detection rate by centre Total requests: Aberdeen 9%; Dundee 8%; Edinburgh 53%; Glasgow 27% Note: PM requests n=7 (1 mutation positive) = 12% of all Aberdeen requests

Scottish FH Testing Programme FH DNA testing is happening due to national funding of genetic testing Effective management in place, at least for those patients with FH that are known to NHS. “Low hanging fruit approach”- Scotland over taken England <2 yrs Despite no specific funding for FH services funding of genetic testing has been sufficient to allow services to become established- paediatric “buy-in” now. A specifically funded, population wide screening strategy may be ideal, but our pragmatic approach at least gives benefit to some of the most needy patients at minimal cost in a time of severe funding constraints. More detail coming on differences in referral rates To audit rates of probable vs unclassifed and test sources, beware small nos.

Acknowledgements Bill Simpson Steven Tennant, Christine Bell & DNA lab Claire Parsons Catriona Brown paper on children testing Scottish Lipid Forum Scottish Molecular Genetics Consortium steering group & Clinical Genetics Forum