Evidence map›Paper›PMID 39763524›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Prioritizing protein targets for dyslipidaemia and cardiovascular diseases using Mendelian randomization in South Asians.

Siwei Wu, Alexander Smith, Jingxian Huang, Georg W Otto, Yi-Hsuan Ko, James Yarmolinsky, Dipender Gill, Anand Rohatgi, Abbas Dehghan, Ioanna Tzoulaki and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Siwei WuDepartment of Clinical Nutrition, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine.
Alexander SmithDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Jingxian HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Georg W OttoDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Yi-Hsuan KoDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
James YarmolinskyDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Dipender GillDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Anand RohatgiDepartment of Medicine, Division of Cardiology University of Texas Southwestern Medical Center Dallas TX USA.
Abbas DehghanDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Ioanna TzoulakiDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Devendra MeenaDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.

Funding

Lipoprotein Metabolism and Excess Cardiometabolic Risk in South AsiansR01HL162300 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI Anand Kumar Rohatgi · 2022 to 2026
$2.9M
Mentoring Patient-Oriented Research in Deep Lipid Phenotyping for Cardiovascular DiseaseK24HL146838 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI Anand Kumar Rohatgi · 2019 to 2026
$945k
NHLBI NIH HHS K24 HL146838NHLBI NIH HHS R01 HL162300
6 · The paper itself

Abstract

South Asians are at higher risk of dyslipidaemia-a modifiable risk factor for cardiovascular diseases (CVDs). We aimed to identify protein targets for dyslipidaemia and CVDs in this population. We used a two-sample Mendelian randomization (MR) approach, supplemented with MR-Egger, weighted median, colocalization, and generalized MR (GMR), to evaluate the effect of 2,800 plasma proteins on high/low/non-high-density lipoprotein cholesterol (HDL-C/LDL-C/nonHDL-C), total cholesterol, and triglycerides. Observational analyses were conducted on MR findings with strong colocalization (posterior probability≥ 80%) and GMR findings. Univariate MR assessed lipid-associated proteins' effect on CVDs. Finally, we compared the potential causal effects of plasma proteins on lipids in South Asians with those in Europeans to study heterogeneity in the MR effects. We identified 29 genetically proxied proteins potentially causal to at least one lipid measure, 12 of which showed strong colocalization and GMR evidence, including ANGPTL3 and PCSK9. Notably, PCSK9 demonstrated a stronger association with LDL-C in European compared to South Asian (β

Identifiers

PMID39763524
PMCPMC11702717

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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.