Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F15%3A10337230" target="_blank" >RIV/00064203:_____/15:10337230 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11130/15:10337230

Result on the web

<a href="http://dx.doi.org/10.1038/ng.3431" target="_blank" >http://dx.doi.org/10.1038/ng.3431</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/ng.3431" target="_blank" >10.1038/ng.3431</a>

Result language

angličtina

Original language name

Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis

Original language description

Heritability analyses of genome-wide association study (GWAS) cohorts have yielded important insights into complex disease architecture, and increasing sample sizes hold the promise of further discoveries. Here we analyze the genetic architectures of schizophrenia in 49,806 samples from the PGC and nine complex diseases in 54,734 samples from the GERA cohort. For schizophrenia, we infer an overwhelmingly polygenic disease architecture in which >= 71% of 1-Mb genomic regions harbor >= 1 variant influencing schizophrenia risk. We also observe significant enrichment of heritability in GC-rich regions and in higher-frequency SNPs for both schizophrenia and GERA diseases. In bivariate analyses, we observe significant genetic correlations (ranging from 0.18 to 0.85) for several pairs of GERA diseases; genetic correlations were on average 1.3 tunes stronger than the correlations of overall disease liabilities. To accomplish these analyses, we developed a fast algorithm for multicomponent, multi-trait variance-components analysis that overcomes prior computational barriers that made such analyses intractable at this scale.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

EB - Genetics and molecular biology

OECD FORD branch

—

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Nature Genetics

ISSN

1061-4036

e-ISSN

—

Volume of the periodical

47

Issue of the periodical within the volume

12

Country of publishing house

US - UNITED STATES

Number of pages

8

Pages from-to

1385-1392

UT code for WoS article

000365813200007

EID of the result in the Scopus database

2-s2.0-85000643907