Evidence map›Paper›PMID 25466957›Full record

ArticleBMC medical genomics2014

"Genotype-first" approaches on a curious case of idiopathic progressive cognitive decline.

Lingling Shi, Bingxiao Li, Yonglan Huang, Xueying Ling, Tianyun Liu, Gholson J Lyon, Anding Xu, Kai Wang

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC medical genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Fine-tuning large language models for rare disease concept normalization.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  3. Fine-tuning Large Language Models for Rare Disease Concept Normalization.bioRxiv : the preprint server for biology · 2024
    Article
  4. Review
  5. Article
  6. 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

8 authors at 5 institutions in 2 countries.

Lingling ShiGuangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, Guangdong, 510623, China. tlingshi@jnu.edu.cn.
Bingxiao LiNeonatal Intensive Care Unit, The 1st Affiliated Hospital, Jinan University, Guangzhou, Guangdong, 510623, China. 13710475291@163.com.
Yonglan HuangDepartment of Endocrinology and Metabolism, Guangzhou Women and Children's Medical Center, Guangzhou, Guangdong, 510623, China. xxhuang321@163.com.
Xueying LingMedical Imaging Center, The 1st Affiliated Hospital, Jinan University, Guangzhou, Guangdong, 510623, China. lingxuey@163.com.
Tianyun LiuDepartment of Genetics, Stanford University, Stanford, CA, 94305, USA. tianyunl@stanford.edu.
Gholson J LyonStanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11797, USA. glyon@cshl.edu.
Anding XuDepartment of Neurology, The 1st Affiliated Hospital, Jinan University, Guangzhou, Guangdong, 510632, China. tlil@jnu.edu.cn.
Kai WangZilkha Neurogenetic Institute, University of Southern California, Los Angeles, CA, 90089, USA. kaiwang@usc.edu.
Jinan University · CNCold Spring Harbor Laboratory · USGuangzhou Women and Children Medical Center · CNStanford University · USUniversity of Southern California · US

Funding

Integrated variation detection annotation and analysis for high-throughout sequeR01HG006465 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, KAI · 2012 to 2016
$1.8M
NHGRI NIH HHS R01 HG006465
6 · The paper itself

Abstract

backgroundIn developing countries, many cases with rare neurological diseases remain undiagnosed due to limited diagnostic experience. We encountered a case in China where two siblings both began to develop idiopathic progressive cognitive decline starting from age six, and were suspected to have an undiagnosed neurological disease.

methodsInitial clinical assessments included review of medical history, comprehensive physical examination, genetic testing for metabolic diseases, blood tests and brain imaging. We performed exome sequencing with Agilent SureSelect exon capture and Illumina HiSeq2000 platform, followed by variant annotation and selection of rare, shared mutations that fit a recessive model of inheritance. To assess functional impacts of candidate variants, we performed extensive biochemical tests in blood and urine, and examined their possible roles by protein structure modeling.

resultsExome sequencing identified NAGLU as the most likely candidate gene with compound heterozygous mutations (chr17:40695717C > T and chr17:40693129A > G in hg19 coordinate), which were documented to be pathogenic. Sanger sequencing confirmed the recessive patterns of inheritance, leading to a genetic diagnosis of Sanfilippo syndrome (mucopolysaccharidosis IIIB). Biochemical tests confirmed the complete loss of activity of alpha-N-acetylglucosaminidase (encoded by NAGLU) in blood, as well as significantly elevated dermatan sulfate and heparan sulfate in urine. Structure modeling revealed the mechanism on how the two variants affect protein structural stability.

conclusionsSuccessful diagnosis of a rare genetic disorder with an atypical phenotypic presentation confirmed that such "genotype-first" approaches can particularly succeed in areas of the world with insufficient medical genetics expertise and with cost-prohibitive in-depth phenotyping.

Indexed as

AcetylglucosaminidaseChildChinaCognition DisordersDNA Mutational AnalysisExomeFemaleGenetic TestingGenotypeHeterozygoteHumansMaleMutationPedigreeProtein ConformationAcetylglucosaminidasealpha-N-acetyl-D-glucosaminidase

Identifiers

PMID25466957
PMCPMC4267425
OpenAlexW2107651176

What OpenQuestion 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 OpenQuestion graph.