Evidence map›Paper›PMID 25406998›Full record

ArticleEuropean journal of human genetics : EJHG2015

Exome sequencing followed by genotyping suggests SYPL2 as a susceptibility gene for morbid obesity.

Hong Jiao, Peter Arner, Paul Gerdhem, Rona J Strawbridge, Erik Näslund, Anders Thorell, Anders Hamsten, Juha Kere, Ingrid Dahlman

Open access · hybridAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Cholesterol and the Safety Factor for Neuromuscular Transmission.International journal of molecular sciences · 2019
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Causes and consequences of obesity: epigenetics or hypokinesis?Diabetes, metabolic syndrome and obesity : targets and therapy · 2015
    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

9 authors at 2 institutions in 1 country.

Hong JiaoDepartment of Biosciences and Nutrition, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden.
Peter ArnerDepartment of Medicine (H7), Karolinska Institutet, Stockholm, Sweden.
Paul Gerdhem1] Department of Orthopaedics, Karolinska University Hospital, Stockholm, Sweden [2] CLINTEC, Karolinska Institutet, Stockholm, Sweden.
Rona J StrawbridgeCardiovascular Genetics and Genomics Group, Atherosclerosis Research Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Erik NäslundDepartment of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden.
Anders Thorell1] Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden [2] Department of Surgery, Ersta Hospital, Karolinska Institutet, Stockholm, Sweden.
Anders HamstenCardiovascular Genetics and Genomics Group, Atherosclerosis Research Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Juha KereDepartment of Biosciences and Nutrition, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden.
Ingrid DahlmanDepartment of Medicine (H7), Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SEKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently developed high-throughput sequencing technology shows power to detect low-frequency disease-causing variants by deep sequencing of all known exons. We used exome sequencing to identify variants associated with morbid obesity. DNA from 100 morbidly obese adult subjects and 100 controls were pooled (n=10/pool), subjected to exome capture, and subsequent sequencing. At least 100 million sequencing reads were obtained from each pool. After several filtering steps and comparisons of observed frequencies of variants between obese and non-obese control pools, we systematically selected 144 obesity-enriched non-synonymous, splicing site or 5' upstream single-nucleotide variants for validation. We first genotyped 494 adult subjects with morbid obesity and 496 controls. Five obesity-associated variants (nominal P-value<0.05) were subsequently genotyped in 1425 morbidly obese and 782 controls. Out of the five variants, only rs62623713:A>G (NM_001040709:c.A296G:p.E99G) was confirmed. rs62623713 showed strong association with body mass index (beta=2.13 (1.09, 3.18), P=6.28 × 10(-5)) in a joint analysis of all 3197 genotyped subjects and had an odds ratio of 1.32 for obesity association. rs62623713 is a low-frequency (2.9% minor allele frequency) non-synonymous variant (E99G) in exon 4 of the synaptophysin-like 2 (SYPL2) gene. rs62623713 was not covered by Illumina or Affymetrix genotyping arrays used in previous genome-wide association studies. Mice lacking Sypl2 has been reported to display reduced body weight. In conclusion, using exome sequencing we identified a low-frequency coding variant in the SYPL2 gene that was associated with morbid obesity. This gene may be involved in the development of excess body fat.

Indexed as

ExomeGenetic Predisposition to DiseasePolymorphism, Single NucleotideAdultAllelesBody Mass IndexCase-Control StudiesExonsFemaleGene ExpressionGene FrequencyHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedObesity, MorbidProtein IsoformsSynaptophysinSYPL1 protein, humanSYPL2 protein, human

Identifiers

PMID25406998
PMCPMC4538196
OpenAlexW2011278104

What OpenQuestion holds

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Registered trials

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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.