Evidence map›Paper›PMID 36806387›Full record

SynthesisInternational journal of obesity (2005)2023

Identification and characterization of the long non-coding RNA NFIA-AS2 as a novel locus for body mass index in American Indians.

Khushdeep Bandesh, Michael Traurig, Peng Chen, Wen-Chi Hsueh, Robert L Hanson, Paolo Piaggi, Leslie J Baier

Open access · hybridAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in International journal of obesity (2005), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Khushdeep BandeshPhoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, 85004, USA.
Michael TraurigPhoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, 85004, USA.
Peng ChenPhoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, 85004, USA.ORCID 0000-0002-1422-4641
Wen-Chi HsuehPhoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, 85004, USA.
Robert L HansonPhoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, 85004, USA.ORCID 0000-0002-4252-7068
Paolo PiaggiPhoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, 85004, USA.ORCID 0000-0003-2774-9161
Leslie J BaierPhoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, AZ, 85004, USA. lbaier@phx.niddk.nih.gov.ORCID 0000-0002-8773-9670
National Institutes of Health · US

Funding

Genetic Epidemiology of Diabetes and ObesityZIADK069028 · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · 2025 to 2025
$699k
Follow-Up Studies of a Genome-Wide Association Analysis in Pima IndiansZIADK075012 · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · 2025 to 2025
$294k
Whole Genome and Whole Exome Sequencing to Identify Genes for Type 2 Diabetes and ObesityZIADK075058 · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · 2025 to 2025
$177k
Structural Analysis Of Candidate Genes For Type 2 Diabetes and ObesityZIADK069071 · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · 2025 to 2025
$118k
6 · The paper itself

Abstract

backgroundGenome-wide association studies have shown that body mass index (BMI), an estimate of obesity, is highly polygenic. Individual variants typically have small effect sizes, making it challenging to identify unique loci in under-represented ethnic groups which lack statistical power due to their small sample size. Yet obesity is a major health disparity and is particularly prevalent in southwestern American Indians. Here, we identify and characterize a new locus for BMI that was detected by analyzing moderate associations with BMI obtained in a population-based sample of southwestern American Indians together with the well-powered GIANT dataset.

methodsGenotypes for 10.5 million variants were tested for association with BMI in 5870 American Indians and 2600 variants that showed an association P < 10

resultsRs1777538 (T/C; C allele frequency = 0.16 in American Indians and 0.04 in GIANT, meta-analysis P = 5.0 × 10

conclusionOur findings support a role for NFIA-AS2 in regulating pathways that impact BMI.

Indexed as

Body Mass IndexIndians, North AmericanObesityRNA, Long NoncodingAmerican Indian or Alaska NativeGenome-Wide Association StudyHumansNFI Transcription FactorsPolymorphism, Single NucleotideSouthwestern United StatesNFIA protein, humanNFI Transcription FactorsRNA, Long Noncoding

Identifiers

PMID36806387
PMCPMC10212757
OpenAlexW4321217320

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.