Marianne Benn1, Gerald F Watts2, Anne Tybjærg-Hansen3, Børge G Nordestgaard4. 1. Department of Clinical Biochemistry, Gentofte Hospital, Copenhagen University Hospital, Kildegårdsvej 28, DK-2900 Gentofte, Denmark The Copenhagen General Population Study, Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark Marianne.Benn@regionh.dk. 2. School of Medicine and Pharmacology, Lipid Disorders Clinic, Cardiovascular Medicine, Royal Perth Hospital, University of Western Australia, Crawley, Australia. 3. The Copenhagen General Population Study, Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark. 4. The Copenhagen General Population Study, Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark Department of Clinical Biochemistry, Herlev Hospital, Copenhagen University Hospital, Copenhagen, Denmark.
Abstract
AIMS: Ideally, familial hypercholesterolaemia (FH) is diagnosed by testing for mutations that decrease the catabolism of low-density lipoprotein (LDL) cholesterol; however, genetic testing is not universally available. The aim of the present study was to assess the frequency and predictors of FH causing mutations in 98 098 participants from the general population, the Copenhagen General Population Study. METHODS AND RESULTS: We genotyped for LDLR[W23X;W66G;W556S] and APOB[R3500Q] accounting for 38.7% of pathogenic FH mutations in Copenhagen. Clinical FH assessment excluded mutation information. The prevalence of the four FH mutations was 0.18% (1:565), suggesting a total prevalence of FH mutations of 0.46% (1:217). Using the Dutch Lipid Clinic Network (DLCN) criteria, odds ratios for an FH mutation were 439 (95% CI: 170-1 138) for definite FH, 90 (53-152) for probable FH, and 18 (13-25) for possible FH vs. unlikely FH. Using the Simon Broome criteria, the odds ratio was 27 (20-36) for possible vs. unlikely FH, and using the Make Early Diagnosis to Prevent Early Death (MEDPED) criteria, 40 (28-58) for probable vs. unlikely FH. Odds ratios for an FH mutation were 17 (9-31) for LDL-cholesterol of 4-4.9 mmol/L, 69 (37-126) for LDL-cholesterol of 5-5.9 mmol/L, 132 (66-263) for LDL-cholesterol of 6-6.9 mmol/L, 264 (109-637) for LDL-cholesterol of 7-7.9 mmol/L, and 320 (129-798) for LDL-cholesterol above 7.9 mmol/L vs. LDL-cholesterol below 4 mmol/L. The most optimal threshold for LDL-cholesterol concentration to discriminate between mutation carriers and non-carriers was 4.4 mmol/L. CONCLUSION: Familial hypercholesterolaemia-causing mutations are estimated to occur in 1:217 in the general population and are best identified by a definite or probable phenotypic diagnosis of FH based on the DLCN criteria or an LDL-cholesterol above 4.4 mmol/L. Published on behalf of the European Society of Cardiology. All rights reserved.
AIMS: Ideally, familial hypercholesterolaemia (FH) is diagnosed by testing for mutations that decrease the catabolism of low-density lipoprotein (LDL) cholesterol; however, genetic testing is not universally available. The aim of the present study was to assess the frequency and predictors of FH causing mutations in 98 098 participants from the general population, the Copenhagen General Population Study. METHODS AND RESULTS: We genotyped for LDLR[W23X;W66G;W556S] and APOB[R3500Q] accounting for 38.7% of pathogenic FH mutations in Copenhagen. Clinical FH assessment excluded mutation information. The prevalence of the four FH mutations was 0.18% (1:565), suggesting a total prevalence of FH mutations of 0.46% (1:217). Using the Dutch Lipid Clinic Network (DLCN) criteria, odds ratios for an FH mutation were 439 (95% CI: 170-1 138) for definite FH, 90 (53-152) for probable FH, and 18 (13-25) for possible FH vs. unlikely FH. Using the Simon Broome criteria, the odds ratio was 27 (20-36) for possible vs. unlikely FH, and using the Make Early Diagnosis to Prevent Early Death (MEDPED) criteria, 40 (28-58) for probable vs. unlikely FH. Odds ratios for an FH mutation were 17 (9-31) for LDL-cholesterol of 4-4.9 mmol/L, 69 (37-126) for LDL-cholesterol of 5-5.9 mmol/L, 132 (66-263) for LDL-cholesterol of 6-6.9 mmol/L, 264 (109-637) for LDL-cholesterol of 7-7.9 mmol/L, and 320 (129-798) for LDL-cholesterol above 7.9 mmol/L vs. LDL-cholesterol below 4 mmol/L. The most optimal threshold for LDL-cholesterol concentration to discriminate between mutation carriers and non-carriers was 4.4 mmol/L. CONCLUSION:Familial hypercholesterolaemia-causing mutations are estimated to occur in 1:217 in the general population and are best identified by a definite or probable phenotypic diagnosis of FH based on the DLCN criteria or an LDL-cholesterol above 4.4 mmol/L. Published on behalf of the European Society of Cardiology. All rights reserved.
Authors: Michael G Levin; Rachel L Kember; Renae Judy; David Birtwell; Heather Williams; Zolt Arany; Jay Giri; Marie Guerraty; Tom Cappola; Jinbo Chen; Daniel J Rader; Scott M Damrauer Journal: Circ Genom Precis Med Date: 2018-11
Authors: Amit V Khera; Mark Chaffin; Seyedeh M Zekavat; Ryan L Collins; Carolina Roselli; Pradeep Natarajan; Judith H Lichtman; Gail D'Onofrio; Jennifer Mattera; Rachel Dreyer; John A Spertus; Kent D Taylor; Bruce M Psaty; Stephen S Rich; Wendy Post; Namrata Gupta; Stacey Gabriel; Eric Lander; Yii-Der Ida Chen; Michael E Talkowski; Jerome I Rotter; Harlan M Krumholz; Sekar Kathiresan Journal: Circulation Date: 2019-03-26 Impact factor: 29.690
Authors: Minxian Wang; Ramesh Menon; Sanghamitra Mishra; Aniruddh P Patel; Mark Chaffin; Deepak Tanneeru; Manjari Deshmukh; Oshin Mathew; Sanika Apte; Christina S Devanboo; Sumathi Sundaram; Praveena Lakshmipathy; Sakthivel Murugan; Krishna Kumar Sharma; Karthikeyan Rajendran; Sam Santhosh; Rajesh Thachathodiyl; Hisham Ahamed; Aniketh Vijay Balegadde; Thomas Alexander; Krishnan Swaminathan; Rajeev Gupta; Ajit S Mullasari; Alben Sigamani; Muralidhar Kanchi; Andrew S Peterson; Adam S Butterworth; John Danesh; Emanuele Di Angelantonio; Aliya Naheed; Michael Inouye; Rajiv Chowdhury; Ramprasad L Vedam; Sekar Kathiresan; Ravi Gupta; Amit V Khera Journal: J Am Coll Cardiol Date: 2020-08-11 Impact factor: 24.094