Literature DB >> 28277564

Analysis of Shared Haplotypes amongst Palauans Maps Loci for Psychotic Disorders to 4q28 and 5q23-q31.

Corneliu A Bodea1, Frank A Middleton2, Nadine M Melhem3, Lambertus Klei4, Youeun Song3, Josepha Tiobech5, Pearl Marumoto5, Victor Yano5, Stephen V Faraone2, Kathryn Roeder1, Marina Myles-Worsley6, Bernie Devlin3, William Byerley7.   

Abstract

To localize genetic variation affecting risk for psychotic disorders in the population of Palau, we genotyped DNA samples from 203 Palauan individuals diagnosed with psychotic disorders, broadly defined, and 125 control subjects using a genome-wide single nucleotide polymorphism array. Palau has unique features advantageous for this study: due to its population history, Palauans are substantially interrelated; affected individuals often, but not always, cluster in families; and we have essentially complete ascertainment of affected individuals. To localize risk variants to genomic regions, we evaluated long-shared haplotypes, ≥10 Mb, identifying clusters of affected individuals who share such haplotypes. This extensive sharing, typically identical by descent, was significantly greater in cases than population controls, even after controlling for relatedness. Several regions of the genome exhibited substantial excess of shared haplotypes for affected individuals, including 3p21, 3p12, 4q28, and 5q23-q31. Two of these regions, 4q28 and 5q23-q31, showed significant linkage by traditional LOD score analysis and could harbor variants of more sizeable risk for psychosis or a multiplicity of risk variants. The pattern of haplotype sharing in 4q28 highlights PCDH10, encoding a cadherin-related neuronal receptor, as possibly involved in risk.

Entities:  

Keywords:  Genetics; Linkage analysis; Pedigree; Penetrance; Psychosis; Schizophrenia

Year:  2016        PMID: 28277564      PMCID: PMC5318925          DOI: 10.1159/000450726

Source DB:  PubMed          Journal:  Mol Neuropsychiatry        ISSN: 2296-9179


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7.  Shared genomic segment analysis: the power to find rare disease variants.

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Journal:  Nat Genet       Date:  2011-09-18       Impact factor: 38.330

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Authors:  Hreinn Stefansson; Dan Rujescu; Sven Cichon; Olli P H Pietiläinen; Andres Ingason; Stacy Steinberg; Ragnheidur Fossdal; Engilbert Sigurdsson; Thordur Sigmundsson; Jacobine E Buizer-Voskamp; Thomas Hansen; Klaus D Jakobsen; Pierandrea Muglia; Clyde Francks; Paul M Matthews; Arnaldur Gylfason; Bjarni V Halldorsson; Daniel Gudbjartsson; Thorgeir E Thorgeirsson; Asgeir Sigurdsson; Adalbjorg Jonasdottir; Aslaug Jonasdottir; Asgeir Bjornsson; Sigurborg Mattiasdottir; Thorarinn Blondal; Magnus Haraldsson; Brynja B Magnusdottir; Ina Giegling; Hans-Jürgen Möller; Annette Hartmann; Kevin V Shianna; Dongliang Ge; Anna C Need; Caroline Crombie; Gillian Fraser; Nicholas Walker; Jouko Lonnqvist; Jaana Suvisaari; Annamarie Tuulio-Henriksson; Tiina Paunio; Timi Toulopoulou; Elvira Bramon; Marta Di Forti; Robin Murray; Mirella Ruggeri; Evangelos Vassos; Sarah Tosato; Muriel Walshe; Tao Li; Catalina Vasilescu; Thomas W Mühleisen; August G Wang; Henrik Ullum; Srdjan Djurovic; Ingrid Melle; Jes Olesen; Lambertus A Kiemeney; Barbara Franke; Chiara Sabatti; Nelson B Freimer; Jeffrey R Gulcher; Unnur Thorsteinsdottir; Augustine Kong; Ole A Andreassen; Roel A Ophoff; Alexander Georgi; Marcella Rietschel; Thomas Werge; Hannes Petursson; David B Goldstein; Markus M Nöthen; Leena Peltonen; David A Collier; David St Clair; Kari Stefansson
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Journal:  Nat Genet       Date:  2013-08-11       Impact factor: 38.330

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