نتایج جستجو برای: polygenic dyslipidemia

تعداد نتایج: 16254  

Journal: :American family physician 2016
Sumi Sexton

Dyslipidemia, a genetic or multifactorial disorder of lipoprotein metabolism, is defined by elevations in levels of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), non–high-density lipoprotein cholesterol (non–HDL-C), triglycerides, or some combination thereof, as well as lower levels of HDL cholesterol (HDL-C). Elevations in levels of TC, LDL-C, and non–HDL-C are associate...

Journal: :Genes, brain, and behavior 2018
Abdel Abdellaoui Michel G Nivard Jouke-Jan Hottenga Iryna Fedko Karin J H Verweij Bart M L Baselmans Erik A Ehli Gareth E Davies Meike Bartels Dorret I Boomsma John T Cacioppo

Loneliness is a heritable trait that accompanies multiple disorders. The association between loneliness and mental health indices may partly be due to inherited biological factors. We constructed polygenic scores for 27 traits related to behavior, cognition, and mental health and tested their prediction for self-reported loneliness in a population-based sample of 8,798 Dutch individuals. Polyge...

2015
Valentina Escott‐Price Mike A. Nalls Huw R. Morris Steven Lubbe Alexis Brice Thomas Gasser Peter Heutink Nicholas W. Wood John Hardy Andrew B. Singleton Nigel M. Williams

OBJECTIVE We have investigated the polygenic architecture of Parkinson disease (PD) and have also explored the potential relationship between an individual's polygenic risk score and their disease age at onset. METHODS This study used genotypic data from 4,294 cases and 10,340 controls obtained from the meta-analysis of PD genome-wide association studies. Polygenic score analysis was performe...

2017
Davide Piffer

Background: The genetic variants identified by three large genome-wide association studies (GWAS) of educational attainment were used to test a polygenic selection model. ethods: Average frequencies of alleles with positive effect (polygenic scores or PS) were compared across populations (N=26) using data from 1000 Genomes. A null model was created using frequencies of random SNPs. Results: Pol...

2017
Davide Piffer

The majority of polygenic selection signal of educational attainment GWAS hits is confined to a handful of SNPs within genomic regions replicated across GWAS publications. A polygenic score comprising 9 SNPs predicts population IQ (r=0.9), outperforming 99.9% of the polygenic scores obtained from sets of random SNPs. Its predictive power remains unaffected after controlling for spatial autocorr...

2017
Davide Piffer

Background: The genetic variants identified by three large genome-wide association studies (GWAS) of educational attainment were used to test a polygenic selection model. Methods: Average frequencies of alleles with positive effect (polygenic scores or PS) were compared across populations (N=26) using data from 1000 Genomes. A null model was created using frequencies of random SNPs. Results: Po...

Journal: :The British journal of psychiatry : the journal of mental science 2014
Wouter J Peyrot Yuri Milaneschi Abdel Abdellaoui Patrick F Sullivan Jouke J Hottenga Dorret I Boomsma Brenda W J H Penninx

BACKGROUND Research on gene × environment interaction in major depressive disorder (MDD) has thus far primarily focused on candidate genes, although genetic effects are known to be polygenic. AIMS To test whether the effect of polygenic risk scores on MDD is moderated by childhood trauma. METHOD The study sample consisted of 1645 participants with a DSM-IV diagnosis of MDD and 340 screened ...

Journal: :Nature Genetics 2013

2016
L Germine E B Robinson J W Smoller M E Calkins T M Moore H Hakonarson M J Daly P H Lee A J Holmes R L Buckner R C Gur R E Gur

Breakthroughs in genomics have begun to unravel the genetic architecture of schizophrenia risk, providing methods for quantifying schizophrenia polygenic risk based on common genetic variants. Our objective in the current study was to understand the relationship between schizophrenia genetic risk variants and neurocognitive development in healthy individuals. We first used combined genomic and ...

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