Evidence map›Paper›PMID 17347910›Full record

ArticleJournal of inherited metabolic disease2007

Diagnosis of families with familial hypercholesterolaemia and/or Apo B-100 defect by means of DNA analysis of LDL-receptor gene mutations.

K Widhalm, A Dirisamer, A Lindemayr, G Kostner

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Article in Journal of inherited metabolic disease, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 42 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

K WidhalmDepartment of Pediatrics, University of Vienna, Vienna, Austria. kurt.widhalm@akh-wien.ac.at
A Dirisamer
A Lindemayr
G Kostner
University of Vienna · ATMedical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne major problem of using hypercholesterolaemia alone as a primary criterion for diagnosing familial hypercholesterolaemia (FH) is that 15-40% of relatives may be misdiagnosed because plasma lipid levels in FH heterozygotes overlap with those in the general population.

settingGeneral Hospital/University of Vienna, Department of Pediatrics, Outpatient lipid clinic.

methodsAs a part of the MED-PED (make early diagnosis-prevent early death) project we are currently investigating children, adolescents and their relatives who are suspected to be affected with FH in our out-patient clinic for metabolic diseases using MED-PED inclusion criteria and confirming the diagnosis by means of DNA analysis. PATIENTS: 263 patients with premature atherosclerosis and/or hypercholesterolaemia: 116 children (mean age 11.6 +/- 4.1 years; 57 girls and 59 boys) and 147 adults (64 women, mean age 41.5 +/- 13.7 years; 83 men, mean age 42.8 +/- 10.8 years).

results119 patients with mutations have been detected; 56 children with either low density lipoprotein receptor (LDLR) and/or ApoB mutations (27 girls and 29 boys; mean total cholesterol (TC) 275 +/- 71 mg/dl, triglycerides (TG) 101 +/- 57 mg/dl, high-density lipoprotein cholesterol (HDL-C) 49 +/- 12 mg/dl, low-density lipoprotein cholesterol (LDL-C) 198 +/- 67 mg/dl) and one boy with a homozygous. LDLR mutation. A further 62 adults with LDLR and/or ApoB mutations were documented; 33 women (mean age 36.9 +/- 11.1 years; mean TC 283 +/- 76 mg/dl, TG 137 +/- 78 mg/dl, HDL-C 55 +/- 17 mg/dl, LDL-C 210 +/- 67 mg/dl) and 29 men (mean age 45.0 +/- 10.6 years; mean TC 301 +/- 87 mg/dl, TG 163 +/- 112 mg/dl, HDL-C 42 +/- 12 mg/dl, LDL-C 233 +/- 83 mg/dl). In 32 of these subjects (11 children (21%), 21 adults (42%)), serum lipid levels were lower than the diagnostic MED-PED limits adopted, so that they might have been misclassified without an additional DNA analysis.

conclusionIn our study, diagnosis of FH and related disorders (ApoB-100 defect) by means of conventional laboratory methods missed at least 21% in children and 42% in adults affected with LDLR and/or ApoB gene mutations. Genetic FH diagnosis provides a tool for specific diagnosis of mutation carrier status.

Indexed as

Genetic TestingMutationAdolescentAdultApolipoprotein B-100AtherosclerosisChildChild, PreschoolCholesterol, HDLCholesterol, LDLDNA Mutational AnalysisFemaleHomozygoteHumansHypercholesterolemiaLipidsApolipoprotein B-100Cholesterol, HDLCholesterol, LDLLipidsReceptors, LDLTriglycerides

Identifiers

PMID17347910
OpenAlexW1985610238

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.