SynthesisGenetics2001
Pooling analysis of genetic data: the association of leptin receptor (LEPR) polymorphisms with variables related to human adiposity.
Synthesis in Genetics, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 63 citations in OpenAlex.
- Gestational Weight Gain: Is the Role of Genetic Variants a Determinant? A Review.International journal of molecular sciences · 2024Review
- Protective Association of Single Nucleotide Polymorphisms rs1861868-FTO and rs7975232-VDR and Obesity in Saudi Females.International journal of general medicine · 2020Article
- 'Fat's chances': Loci for phenotypic dispersion in plasma leptin in mouse models of diabetes mellitus.PloS one · 2019Article
- Effect of Lys656Asn Polymorphism of Leptin Receptor Gene on Cardiovascular Risk Factors and Serum Adipokine Levels after a High Polyunsaturated Fat Diet in Obese Patients.Journal of clinical laboratory analysis · 2015Article
- mRNA expression pattern and association study with growth traits of bovine vaspin gene.Molecular biology reports · 2013Article
- Genome-wide association study identifies polymorphisms in LEPR as determinants of plasma soluble leptin receptor levels.Human molecular genetics · 2010Article
- Influence of lys656asn polymorphism of leptin receptor gene on surgical results of biliopancreatic diversion.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2010Article
- Molecular physiology of weight regulation in mice and humans.International journal of obesity (2005) · 2008Review
- Considerations regarding the genetics of obesity.Obesity (Silver Spring, Md.) · 2008Article
- On the replication of genetic associations: timing can be everything!American journal of human genetics · 2008Article
- Pooled analysis of data from multiple quantitative trait locus mapping populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2006Article
- Effect of genetic variation in the leptin gene promoter and the leptin receptor gene on obesity risk in a population-based case-control study in Spain.European journal of epidemiology · 2006Article
- Quantitative trait loci for susceptibility to tapeworm infection in the red flour beetle.Genetics · 2003Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
26 authors at 15 institutions in 4 countries.
Funding
Abstract
Analysis of raw pooled data from distinct studies of a single question generates a single statistical conclusion with greater power and precision than conventional metaanalysis based on within-study estimates. However, conducting analyses with pooled genetic data, in particular, is a daunting task that raises important statistical issues. In the process of analyzing data pooled from nine studies on the human leptin receptor (LEPR) gene for the association of three alleles (K109R, Q223R, and K656N) of LEPR with body mass index (BMI; kilograms divided by the square of the height in meters) and waist circumference (WC), we encountered the following methodological challenges: data on relatives, missing data, multivariate analysis, multiallele analysis at multiple loci, heterogeneity, and epistasis. We propose herein statistical methods and procedures to deal with such issues. With a total of 3263 related and unrelated subjects from diverse ethnic backgrounds such as African-American, Caucasian, Danish, Finnish, French-Canadian, and Nigerian, we tested effects of individual alleles; joint effects of alleles at multiple loci; epistatic effects among alleles at different loci; effect modification by age, sex, diabetes, and ethnicity; and pleiotropic genotype effects on BMI and WC. The statistical methodologies were applied, before and after multiple imputation of missing observations, to pooled data as well as to individual data sets for estimates from each study, the latter leading to a metaanalysis. The results from the metaanalysis and the pooling analysis showed that none of the effects were significant at the 0.05 level of significance. Heterogeneity tests showed that the variations of the nonsignificant effects are within the range of sampling variation. Although certain genotypic effects could be population specific, there was no statistically compelling evidence that any of the three LEPR alleles is associated with BMI or waist circumference in the general population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.