GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium.

GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium.
复制标题

DOI:
10.1038/mp.2017.197
复制
发表时间:
2017-11
影响因子:
11
通讯作者:
Lencz T
Lencz T
中科院分区:
医学1区
文献类型:
--
作者:
Trampush JW;Yang MLZ;Yu J;Knowles E;Davies G;Liewald DC;Starr JM;Djurovic S;Melle I;Sundet K;Christoforou A;Reinvang I;DeRosse P;Lundervold AJ;Steen VM;Espeseth T;Räikkönen K;Widen E;Palotie A;Eriksson JG;Giegling I;Konte B;Roussos P;Giakoumaki S;Burdick KE;Payton A;Ollier W;Horan M;Chiba-Falek O;Attix DK;Need AC;Cirulli ET;Voineskos AN;Stefanis NC;Avramopoulos D;Hatzimanolis A;Arking DE;Smyrnis N;Bilder RM;Freimer NA;Cannon TD;London E;Poldrack RA;Sabb FW;Congdon E;Conley ED;Scult MA;Dickinson D;Straub RE;Donohoe G;Morris D;Corvin A;Gill M;Hariri AR;Weinberger DR;Pendleton N;Bitsios P;Rujescu D;Lahti J;Le Hellard S;Keller MC;Andreassen OA;Deary IJ;Glahn DC;Malhotra AK;Lencz T

文献摘要

参考文献

相似文献

人类认知的复杂性导致认知基因组学在使用全基因组关联研究(GWAS)方法发现基因方面落后于许多其他领域。为了克服这些障碍,本研究利用GWASMeta分析,在认知基因组学联盟(COGINT)的24个队列中,对35298名欧洲血统的健康个体进行了常见遗传变异(~8M个单核苷酸多态,微小等位基因频率⩾为1%)与一般认知功能的关联分析。此外,我们利用个体SNP查找和多基因得分分析来识别与其他相关神经行为表型的遗传重叠。我们初步的GWASMeta分析发现了两个新的与全基因组显著水平(P<5×10−8)的认知能力相关的SNP基因座(顶部SNPs:位于CENPO基因2号染色体上的rs76114856和位于1号染色体上LOC105378853附近的rs6669072)。基于基因的分析在染色体17q21上发现了另外三个Bonferroni校正的重要基因座。31,17,13页。1和1p13。3.总的来说,基因组中常见的变异导致一般认知功能的SNP遗传度保守估计为21.5%(Se=0.01%)。与先前GWA的认知表现和教育程度的整合产生了几个额外的显着基因座。最后,我们发现了认知表现与教育程度、几种精神障碍、出生长度/体重和吸烟行为之间强有力的多基因关联,以及与开放性人格特征的新的基因关联。这些数据为神经认知功能的遗传学提供了新的见解,并与理解神经精神疾病的病理生理学有关。
The complex nature of human cognition has resulted in cognitive genomics lagging behind many other fields in terms of gene discovery using genome-wide association study (GWAS) methods. In an attempt to overcome these barriers, the current study utilized GWAS meta-analysis to examine the association of common genetic variation (~ 8M single-nucleotide polymorphisms (SNP) with minor allele frequency⩾ 1%) to general cognitive function in a sample of 35 298 healthy individuals of European ancestry across 24 cohorts in the Cognitive Genomics Consortium (COGENT). In addition, we utilized individual SNP lookups and polygenic score analyses to identify genetic overlap with other relevant neurobehavioral phenotypes. Our primary GWAS meta-analysis identified two novel SNP loci (top SNPs: rs76114856 in the CENPO gene on chromosome 2 and rs6669072 near LOC105378853 on chromosome 1) associated with cognitive performance at the genome-wide significance level (P< 5× 10− 8). Gene-based analysis identified an additional three Bonferroni-corrected significant loci at chromosomes 17q21. 31, 17p13. 1 and 1p13. 3. Altogether, common variation across the genome resulted in a conservatively estimated SNP heritability of 21.5%(se= 0.01%) for general cognitive function. Integration with prior GWAS of cognitive performance and educational attainment yielded several additional significant loci. Finally, we found robust polygenic correlations between cognitive performance and educational attainment, several psychiatric disorders, birth length/weight and smoking behavior, as well as a novel genetic association to the personality trait of openness. These data provide new insight into the genetics of neurocognitive function with relevance to understanding the pathophysiology of neuropsychiatric illness.
DOI: 10.1038/mp.2016.244
发表时间: 2017-03
影响因子: 11
作者:
Trampush JW;Yang ML;Yu J;Knowles E;Davies G;Liewald DC;Starr JM;Djurovic S;Melle I;Sundet K;Christoforou A;Reinvang I;DeRosse P;Lundervold AJ;Steen VM;Espeseth T;Räikkönen K;Widen E;Palotie A;Eriksson JG;Giegling I;Konte B;Roussos P;Giakoumaki S;Burdick KE;Payton A;Ollier W;Horan M;Chiba-Falek O;Attix DK;Need AC;Cirulli ET;Voineskos AN;Stefanis NC;Avramopoulos D;Hatzimanolis A;Arking DE;Smyrnis N;Bilder RM;Freimer NA;Cannon TD;London E;Poldrack RA;Sabb FW;Congdon E;Conley ED;Scult MA;Dickinson D;Straub RE;Donohoe G;Morris D;Corvin A;Gill M;Hariri AR;Weinberger DR;Pendleton N;Bitsios P;Rujescu D;Lahti J;Le Hellard S;Keller MC;Andreassen OA;Deary IJ;Glahn DC;Malhotra AK;Lencz T
通讯作者: Lencz T