Evidence map›Paper›PMID 27357426›Full record

ArticleJournal of human genetics2016

HDR: a statistical two-step approach successfully identifies disease genes in autosomal recessive families.

Atsuko Imai, Masakazu Kohda, Akihiro Nakaya, Yasushi Sakata, Kei Murayama, Akira Ohtake, Mark Lathrop, Yasushi Okazaki, Jurg Ott

Abstract read
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Article in Journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Atsuko ImaiDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Masakazu KohdaDivision of Translational Research, Research Center for Genomic Medicine, Saitama Medical University, Saitama, Japan.ORCID http://orcid.org/0000-0001-5970-2224
Akihiro NakayaDepartment of Genome Informatics, Osaka University Graduate School of Medicine, Osaka, Japan.
Yasushi SakataDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Kei MurayamaDepartment of Metabolism, Chiba Children's Hospital, Chiba, Japan.
Akira OhtakeDepartment of Pediatrics, Saitama Medical University, Saitama, Japan.
Mark LathropMcGill University and Genome Québec Innovation Centre, Montréal, Québec, Canada.
Yasushi OkazakiDivision of Translational Research, Research Center for Genomic Medicine, Saitama Medical University, Saitama, Japan.
Jurg OttLaboratory of Statistical Genetics, Rockefeller University, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the search for sequence variants underlying disease, commonly applied filtering steps usually result in a number of candidate variants that cannot further be narrowed down. In autosomal recessive families, disease usually occurs only in one generation so that genetic linkage analysis is unlikely to help. Because homozygous recessive mutations tend to be inherited together with flanking homozygous variants, we developed a statistical method to detect pathogenic variants in autosomal recessive families: We look for differences in patterns of homozygosity around candidate variants between patients and control individuals and expect that such differences are greater for pathogenic variants than random candidate variants. In six autosomal recessive mitochondrial disease families, in which pathogenic homozygous variants have already been identified, our approach succeeded in prioritizing pathogenic mutations. Our method is applicable to single patients from recessive families with at least a few dozen control individuals from the same population; it is easy to use and is highly effective for detecting causative mutations in autosomal recessive families.

Indexed as

Genes, RecessiveGenetic LinkageSoftwareCase-Control StudiesComputational BiologyGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansPedigree

Identifiers

PMID27357426
PMCPMC5411490

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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.