Evidence map›Paper›PMID 21701565›Full record

ArticleObesity (Silver Spring, Md.)2011

A genome-wide association study of BMI in American Indians.

Alka Malhotra, Sayuko Kobes, William C Knowler, Leslie J Baier, Clifton Bogardus, Robert L Hanson

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors.

Alka MalhotraPhoenix Epidemiology and Clinical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, USA. alka@niddk.nih.gov
Sayuko Kobes
William C Knowler
Leslie J Baier
Clifton Bogardus
Robert L Hanson

Funding

Structural Analysis Of Candidate Genes For Type 2 Diabetes and ObesityZIADK069071 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI BAIER, LESLIE J · 2009 to 2025
$15.4M
Genetic Epidemiology of Diabetes and ObesityZIADK069028 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI HANSON, ROBERT · 2009 to 2025
$7.5M
Epidemiology of Type 2 Diabetes Mellitus in the Gila River Indian CommunityZIADK069000 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KNOWLER, WILLIAM C · 2009 to 2021
$3.4M
A Dense (1 Million SNP) Genome-Wide Association Study in Pima IndiansZIADK069098 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI BAIER, LESLIE J · 2009 to 2013
$2.6M
Intramural NIH HHS ZIA DK069028
6 · The paper itself

Abstract

Numerous studies have been done to understand genetic contributors to BMI, but only a limited number of studies have been done in nonwhite groups such as American Indians. A genome-wide association study (GWAS) for BMI was therefore performed in Pima Indians. BMI measurements from a longitudinal study of 1,120 Pima Indians and 454,194 single-nucleotide polymorphisms (SNPs) from the 1 million Affymetrix SNP panel were used (35% of SNPs were excluded due to minor allele frequency <0.05). Data included BMI measured at multiple examinations collected from 1965 to 2004, as well as the maximum BMI at one of these visits. General and within-family tests were performed using a maximum-likelihood based mixed model procedure. No SNP reached a genome-wide significance level (estimated at P < 4.94 × 10(-7)). For repeated measures analyses, the strongest associations for general and within-family tests mapped to two different regions on chromosome 6 (rs9342220 (P = 1.39 × 10(-6)) and rs7758764 (P = 2.51 × 10(-6)), respectively). For maximum BMI, the strongest association for the general tests mapped to chromosome 4 (rs17612333; P = 1.98 × 10(-6)) and to chromosome 3 (rs11127958; P = 1.53 × 10(-6)) for the within-family tests. Further analysis is important because only a few of these regions have been previously implicated in a GWAS and genetic susceptibility may differ by ethnicity.

Indexed as

Body Mass IndexChromosomes, HumanGenome, HumanPolymorphism, Single NucleotideAdolescentAdultAgedAged, 80 and overCohort StudiesFamilyFemaleGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumans

Identifiers

PMID21701565
PMCPMC7229868

What OpenQuestion holds

Textmetadata
LicenceTDM
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.