Evidence map›Paper›PMID 36340932›Full record

SynthesisHGG advances2023

A stop-gain variant in

Jenna C Carlson, Mohanraj Krishnan, Samantha L Rosenthal, Emily M Russell, Jerry Z Zhang, Nicola L Hawley, Jaye Moors, Hong Cheng, Nicola Dalbeth, Janak R de Zoysa and 14 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in HGG advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

24 authors at 8 institutions in 4 countries.

Jenna C CarlsonDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
Mohanraj KrishnanDepartment of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA.
Samantha L RosenthalDepartment of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA.
Emily M RussellDepartment of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA.
Jerry Z ZhangDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
Nicola L HawleyDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA.
Jaye MoorsDepartment of Biochemistry, University of Otago, Dunedin, New Zealand.
Hong ChengDepartment of Environmental Health, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Nicola DalbethDepartment of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Janak R de ZoysaDepartment of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Huti WatsonNgāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand.
Muhammad QasimNgāti Porou Hauora Charitable Trust, Te Puia Springs, Tairāwhiti East Coast, New Zealand.
Rinki MurphyDepartment of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Take NaseriMinistry of Health, Government of Samoa, Apia, Samoa.
Muagututi'a Sefuiva ReupenaLutia i Puava ae Mapu i Fagalele, Apia, Samoa.
Satupa'itea VialiSchool of Medicine, National University of Samoa, Apia, Samoa.
Lisa K StampDepartment of Medicine, University of Otago Christchurch, Christchurch, New Zealand.
John TuiteleDepartment of Public Health, Government of American Samoa, Pago Pago, American Samoa.
Erin E KershawDivision of Endocrinology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Ranjan DekaDepartment of Environmental Health, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Stephen T McGarveyInternational Health Institute, Department of Epidemiology, Brown University, Providence, RI, USA.
Tony R MerrimanDepartment of Biochemistry, University of Otago, Dunedin, New Zealand.
Daniel E WeeksDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
Ryan L MinsterDepartment of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA.
University of Pittsburgh · USUniversity of Auckland · NZNational University of Samoa · WSUniversity of Cincinnati Medical Center · USUniversity of Otago · NZBrown University · USDepartment of Public Health · ASYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Current understanding of lipid genetics has come mainly from studies in European-ancestry populations; limited effort has focused on Polynesian populations, whose unique population history and high prevalence of dyslipidemia may provide insight into the biological foundations of variation in lipid levels. Here, we performed an association study to fine map a suggestive association on 5q35 with high-density lipoprotein cholesterol (HDL-C) seen in Micronesian and Polynesian populations. Fine-mapping analyses in a cohort of 2,851 Samoan adults highlighted an association between a stop-gain variant (rs200884524; c.652C>T, p.R218∗; posterior probability = 0.9987) in

Indexed as

AtherosclerosisButyrophilinsDyslipidemiasAdultCholesterol, HDLHumansPacific Island PeopleTriglyceridesBTNL9 protein, humanButyrophilinsCholesterol, HDLTriglyceridescardiovascular disease risk factorsgenetics of complex traitsidentification of disease genesisolated populationPolynesia

Identifiers

PMID36340932
PMCPMC9630829
OpenAlexW4304688416

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.