Evidence map›Paper›PMID 36216875›Full record

ArticleScientific reports2022

Investigating the role of common and rare variants in multiplex multiple sclerosis families reveals an increased burden of common risk variation.

Elif Everest, Mohammad Ahangari, Ugur Uygunoglu, Melih Tutuncu, Alper Bulbul, Sabahattin Saip, Taskin Duman, Ugur Sezerman, Daniel S Reich, Brien P Riley and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
1.9field-weighted citation impact, top 14% 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, 13 citations in OpenAlex.

  1. Review
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  5. A mendelian randomization analysis of the associations between haptoglobin and multiple sclerosis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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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

12 authors at 6 institutions in 2 countries.

Elif EverestDepartment of Molecular Biology and Genetics, Faculty of Science and Letters, Istanbul Technical University, Maslak, Istanbul, Turkey.
Mohammad AhangariDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Ugur UygunogluDepartment of Neurology, Cerrahpasa School of Medicine, Istanbul University-Cerrahpasa, Fatih, Istanbul, Turkey.
Melih TutuncuDepartment of Neurology, Cerrahpasa School of Medicine, Istanbul University-Cerrahpasa, Fatih, Istanbul, Turkey.
Alper BulbulDepartment of Biostatistics and Bioinformatics, Institute of Health Sciences, Acibadem University, Atasehir, Istanbul, Turkey.
Sabahattin SaipDepartment of Neurology, Cerrahpasa School of Medicine, Istanbul University-Cerrahpasa, Fatih, Istanbul, Turkey.
Taskin DumanDepartment of Neurology, Tayfur Ata Sokmen School of Medicine, Mustafa Kemal University, Alahan-Antakya, Hatay, Turkey.
Ugur SezermanDepartment of Biostatistics and Medical Informatics, Faculty of Medicine, Acibadem University, Atasehir, Istanbul, Turkey.
Daniel S ReichTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
Brien P Riley *Department of Psychiatry and Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Aksel Siva *Department of Neurology, Cerrahpasa School of Medicine, Istanbul University-Cerrahpasa, Fatih, Istanbul, Turkey.
Eda Tahir Turanli *Department of Molecular Biology and Genetics, Faculty of Engineering and Natural Sciences, Acibadem University, Atasehir, Istanbul, Turkey. eda.turanli@acibadem.edu.tr.
Istanbul University-Cerrahpaşa · TRAcıbadem University · TRVirginia Commonwealth University · USIstanbul Technical University · TRMustafa Kemal University · TRNational Institute of Neurological Disorders and Stroke · US

Funding

Whole Genome Sequencing in Irish Multiplex Schizophrenia FamiliesR01MH114593 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI RILEY, BRIEN P · 2017 to 2021
$2.1M
NIMH NIH HHS R01 MH114593
6 · The paper itself

Abstract

Many multiple sclerosis (MS)-associated common risk variants as well as candidate low-frequency and rare variants have been identified; however, approximately half of MS heritability remains unexplained. We studied seven multiplex MS families, six of which with parental consanguinity, to identify genetic factors that increase MS risk. Candidate genomic regions were identified through linkage analysis and homozygosity mapping, and fully penetrant, rare, and low-frequency variants were detected by exome sequencing. Weighted sum score and polygenic risk score (PRS) analyses were conducted in MS families (24 affected, 17 unaffected), 23 sporadic MS cases, 63 individuals in 19 non-MS control families, and 1272 independent, ancestry-matched controls. We found that familial MS cases had a significantly higher common risk variation burden compared with population controls and control families. Sporadic MS cases tended to have a higher PRS compared with familial MS cases, suggesting the presence of a higher rare risk variation burden in the families. In line with this, score distributions among affected and unaffected family members within individual families showed that known susceptibility alleles can explain disease development in some high-risk multiplex families, while in others, additional genetic contributors increase MS risk.

Indexed as

Multiple SclerosisAllelesExome SequencingGenetic LinkageGenetic Predisposition to DiseaseGenetic VariationHumansPedigree

Identifiers

PMID36216875
PMCPMC9550807
OpenAlexW4303983973

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.