Evidence map›Paper›PMID 30400955›Full record

ArticleLipids in health and disease2018

Genetic basis of index patients with familial hypercholesterolemia in Chinese population: mutation spectrum and genotype-phenotype correlation.

Di Sun, Bing-Yang Zhou, Sha Li, Ning-Ling Sun, Qi Hua, Shu-Lin Wu, Yun-Shan Cao, Yuan-Lin Guo, Na-Qiong Wu, Cheng-Gang Zhu and 4 more

Open access · goldFull text readMulticenter Study
In one paragraph

Article in Lipids in health and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
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  8. 2023 China Guidelines for Lipid Management.Journal of geriatric cardiology : JGC · 2023
    Article
  9. 2023 Chinese guideline for lipid management.Frontiers in pharmacology · 2023
    Review
  10. Article
  11. Article
  12. Familial hypercholesterolemia in Southeast and East Asia.American journal of preventive cardiology · 2021
    Review
  13. Review
  14. Review
  15. Review
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 1 country.

Di SunDivision of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Bing-Yang ZhouDivision of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Sha LiDivision of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Ning-Ling SunDepartment of Cardiology, Peking University People's Hospital, Beijing, 100044, China.
Qi HuaDepartment of Cardiology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Shu-Lin WuGuangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Clinical Pharmacology, Guangzhou, 510080, China.
Yun-Shan CaoDepartment of Cardiology, Gansu Provincial People's Hospital, Lanzhou, 730000, Gansu, China.
Yuan-Lin GuoDivision of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Na-Qiong WuDivision of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Cheng-Gang ZhuDivision of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Ying GaoDivision of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Chuan-Jue CuiDivision of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Geng LiuDivision of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Jian-Jun LiDivision of Dyslipidemia, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China. lijianjun938@126.com.
Fu Wai Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNCapital Medical University · CNGansu Provincial Hospital · CNPeking University People's Hospital · CN

Funding

CAMS Major Collaborative Innovation Project 2016-I2M-1-011Capital Health Development Fund 201614035
6 · The paper itself

Abstract

backgroundAlthough there have been many reports in the genetics of familial hypercholesterolemia (FH) worldwide, studies in regard of Chinese population are lacking. In this multi-center study, we aim to characterize the genetic spectrum of FH in Chinese population, and examine the genotype-phenotype correlations in detail.

methodsA total of 285 unrelated index cases from China with clinical FH were consecutively recruited. Next-generation sequencing and bioinformatics tools were used for mutation detection of LDLR, APOB and PCSK9 genes and genetic analysis.

resultsOverall, the detection rate is 51.9% (148/285) in the unrelated index cases with a total of 119 risk variants identified including 84 in the LDLR gene, 31 in APOB and 4 in PCSK9 gene. Twenty-eight variants were found in more than one individual and LDLR c.1448G > A (p. W483X) was most frequent one detected in 9 patients. Besides, we found 8 (7 LDLR and 1 APOB) novel variants referred as "pathogenic (or likely pathogenic) variants" according to in silico analysis. In the phenotype analysis, patients with LDLR null mutation had significantly higher LDL cholesterol level than LDLR defective and APOB/PCSK9 mutation carriers and those with no mutations (p < 0.001). Furthermore, 13 double heterozygotes, 16 compound heterozygotes and 5 true LDLR homozygotes were identified and the true LDLR homozygotes had the most severe phenotypes.

conclusionsThe present study confirmed the heterogeneity of FH genetics in the largest Chinese cohort, which could replenish the knowledge of mutation spectrum and contribute to early screening and disease management.

Indexed as

MutationAdultApolipoprotein B-100Asian PeopleComputer SimulationDNA Mutational AnalysisFemaleGenetic Association StudiesHumansHyperlipidemiasMaleMiddle AgedProprotein Convertase 9Receptors, LDLAPOB protein, humanApolipoprotein B-100LDLR protein, humanPCSK9 protein, humanProprotein Convertase 9Receptors, LDLAPOBFamilial hypercholesterolemiaLDLRLipidPCSK9

Identifiers

PMID30400955
PMCPMC6220500
OpenAlexW2899895024

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LicenceCC BY
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Registered trials

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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.