Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: Many complex traits and diseases show sex-specific biases in clinical presentation and prevalence. For instance, two-thirds of AD cases are female. Studies suggest that women might have higher cognitive reserve but steeper cognitive decline in older age. Cognitive traits have substantial genetic influence. Cognitive impairment could vary among sexes due to sex-specific genetic factors. To understand the sex-specific genetic architecture of cognitive decline, we performed genome-wide association study (GWAS) on sex-stratified data and assessed a SNP-sex interaction.
Method: We derived inter-individual specific slopes using linear mixed effect model adjusting for age, education, and sex across five cognitive domains (attention, memory, executive function, language, visuospatial function) and global cognitive function in 3021 older adults aged ≥65 years (females = 1545, males = 1476) belonging to three prospective cohorts: Gingko Evaluation of Memory (GEM), Monongahela-Youghiogheny Heathy Aging Team (MYHAT), and Monongahela Valley Independent Elders Survey (MoVIES). GWAS was conducted on each cognitive phenotype in each cohort adjusting for the first four genetic principal components. Gene-based analysis was also conducted to discover genes specific to biological sexes.
Result: We identified a novel genome-wide significant (GWS) intergenic locus for decline of memory in males near RPS23P3 on chromosome 4 (top SNP: rs6851574; MAF = 0.39; P = 4.10E-08, b = -0.19; P = 6.13E-01, b = -0.017; P = 3.76E-04). This intergenic region has previously been associated with other cognitive related traits such as educational attainment, anatomical brain aging and brain shape. We also identified a subthreshold GWS locus for decline of executive function in females near NDUFA12 on chromosome 12 (top SNP: rs11107823; MAF = 0.12; P = 9.35E-08, b = 0.28; P 0.151, b = -0.077; P = 7.42E-06). NDUFA12/rs11107823 is cis-eQTL for NDUFA12, NTN4 and VETZ in blood and brain tissues. NDUFA12 codes for a gene involved in oxidative phosphorylation in mitochondria and was also found to be suggestively associated with decline of executive function in gene-based analysis in females (P = 1.40E-04).
Conclusion: In this sex-stratified analysis of cognitive decline, we identified two novel loci affecting cognition. Our study illustrates that sex-aware genetic studies can help in the identification of novel genetic loci and enhance sex-specific understanding of cognitive aging.
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http://dx.doi.org/10.1002/alz.088281 | DOI Listing |
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