LD Score regression distinguishes confounding from polygenicity in genome-wide association studies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11130%2F15%3A10316263" target="_blank" >RIV/00216208:11130/15:10316263 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00064203:_____/15:10316263

Výsledek na webu

<a href="http://dx.doi.org/10.1038/ng.3211" target="_blank" >http://dx.doi.org/10.1038/ng.3211</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/ng.3211" target="_blank" >10.1038/ng.3211</a>

Jazyk výsledku

angličtina

Název v původním jazyce

LD Score regression distinguishes confounding from polygenicity in genome-wide association studies

Popis výsledku v původním jazyce

Both polygenicity (many small genetic effects) and confounding biases, such as cryptic relatedness and population stratification, can yield an inflated distribution of test statistics in genome-wide association studies (GWAS). However, current methods cannot distinguish between inflation from a true polygenic signal and bias. We have developed an approach, LD Score regression, that quantifies the contribution of each by examining the relationship between test statistics and linkage disequilibrium (LD).The LD Score regression intercept can be used to estimate a more powerful and accurate correction factor than genomic control. We find strong evidence that polygenicity accounts for the majority of the inflation in test statistics in many GWAS of large sample size.

Název v anglickém jazyce

LD Score regression distinguishes confounding from polygenicity in genome-wide association studies

Popis výsledku anglicky

Both polygenicity (many small genetic effects) and confounding biases, such as cryptic relatedness and population stratification, can yield an inflated distribution of test statistics in genome-wide association studies (GWAS). However, current methods cannot distinguish between inflation from a true polygenic signal and bias. We have developed an approach, LD Score regression, that quantifies the contribution of each by examining the relationship between test statistics and linkage disequilibrium (LD).The LD Score regression intercept can be used to estimate a more powerful and accurate correction factor than genomic control. We find strong evidence that polygenicity accounts for the majority of the inflation in test statistics in many GWAS of large sample size.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EB - Genetika a molekulární biologie

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

Nature Genetics

ISSN

1061-4036

e-ISSN

—

Svazek periodika

47

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

7

Strana od-do

291-295

Kód UT WoS článku

000350327900023

EID výsledku v databázi Scopus

2-s2.0-84923946495