<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kang M</submitter><funding>National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site</funding><funding>NIA NIH HHS</funding><funding>National Cell Repository for Alzheimer's Disease</funding><funding>University of Pennsylvania, funded by NIA, and the Religious Orders Study/Rush Memory and Aging Project</funding><funding>NIH HHS</funding><funding>Alzheimer's Disease Sequencing Project Phenotype Harmonization Consortium</funding><pagination>e70681</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12434708</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>21(9)</volume><pubmed_abstract>&lt;h4>Introduction&lt;/h4>Identifying pleiotropy for blood pressure (BP) and cognitive performance measures may indicate mechanistic links between hypertension and Alzheimer's disease (AD).&lt;h4>Methods&lt;/h4>We performed a pleiotropy genome-wide association study (GWAS) for paired measures of systolic, diastolic, pulse, and mean arterial pressure with memory, executive function, and language scores using 116,075 exam data from 25,726 participants in clinic-based and prospective cohorts. Significant findings were evaluated by Bayesian colocalization and differential gene expression in brain tissue from pathologically confirmed AD cases with and without clinical symptoms.&lt;h4>Results&lt;/h4>Genome-wide significant pleiotropy for BP and cognitive performance with JPH2, GATA3, PAX2, LOC105371656, and SUFU</pubmed_abstract><journal>Alzheimer's &amp; dementia : the journal of the Alzheimer's Association</journal><pubmed_title>Genome-wide pleiotropy analysis of longitudinal blood pressure and harmonized cognitive performance measures.</pubmed_title><pmcid>PMC12434708</pmcid><funding_grant_id>R01-AG15819</funding_grant_id><funding_grant_id>U24-AG021886</funding_grant_id><funding_grant_id>R01-AG17917</funding_grant_id><funding_grant_id>U01-AG082665</funding_grant_id><funding_grant_id>P30-AG72975</funding_grant_id><funding_grant_id>U01-AG032984</funding_grant_id><funding_grant_id>U01-AG068057</funding_grant_id><funding_grant_id>U01-AG081230</funding_grant_id><funding_grant_id>P30-AG10161</funding_grant_id><funding_grant_id>U24-AG074855</funding_grant_id><funding_grant_id>R01-AG048927</funding_grant_id><funding_grant_id>U54-AG052427</funding_grant_id><funding_grant_id>U01-AG61356</funding_grant_id><funding_grant_id>U01-AG058654</funding_grant_id><funding_grant_id>U01-AG062602</funding_grant_id><funding_grant_id>U01-AG46152</funding_grant_id><funding_grant_id>P30-AG072878</funding_grant_id><funding_grant_id>U24-AG041689</funding_grant_id><funding_grant_id>R01-AG059716</funding_grant_id><funding_grant_id>RF1-AG057519</funding_grant_id><funding_grant_id>U19-AG068753</funding_grant_id><pubmed_authors>Mez J</pubmed_authors><pubmed_authors>Scollard P</pubmed_authors><pubmed_authors>Lee M</pubmed_authors><pubmed_authors>Ang TFA</pubmed_authors><pubmed_authors>Schellenberg GD</pubmed_authors><pubmed_authors>Lunetta KL</pubmed_authors><pubmed_authors>Dumitrescu LC</pubmed_authors><pubmed_authors>Kukull WA</pubmed_authors><pubmed_authors>Haines JL</pubmed_authors><pubmed_authors>Devine SA</pubmed_authors><pubmed_authors>Cuccaro ML</pubmed_authors><pubmed_authors>Pericak-Vance MA</pubmed_authors><pubmed_authors>Farrer LA</pubmed_authors><pubmed_authors>Kang M</pubmed_authors><pubmed_authors>Au R</pubmed_authors><pubmed_authors>Sherva R</pubmed_authors><pubmed_authors>Saykin AJ</pubmed_authors><pubmed_authors>Mayeux RP</pubmed_authors><pubmed_authors>Wang LS</pubmed_authors><pubmed_authors>Crane PK</pubmed_authors><pubmed_authors>Klinedinst B</pubmed_authors><pubmed_authors>Hohman TJ</pubmed_authors><pubmed_authors>Nakano C</pubmed_authors><pubmed_authors>Bennett DA</pubmed_authors><pubmed_authors>Choi SE</pubmed_authors><pubmed_authors>Mukherjee S</pubmed_authors><pubmed_authors>Trittschuh EH</pubmed_authors></additional><is_claimable>false</is_claimable><name>Genome-wide pleiotropy analysis of longitudinal blood pressure and harmonized cognitive performance measures.</name><description>&lt;h4>Introduction&lt;/h4>Identifying pleiotropy for blood pressure (BP) and cognitive performance measures may indicate mechanistic links between hypertension and Alzheimer's disease (AD).&lt;h4>Methods&lt;/h4>We performed a pleiotropy genome-wide association study (GWAS) for paired measures of systolic, diastolic, pulse, and mean arterial pressure with memory, executive function, and language scores using 116,075 exam data from 25,726 participants in clinic-based and prospective cohorts. Significant findings were evaluated by Bayesian colocalization and differential gene expression in brain tissue from pathologically confirmed AD cases with and without clinical symptoms.&lt;h4>Results&lt;/h4>Genome-wide significant pleiotropy for BP and cognitive performance with JPH2, GATA3, PAX2, LOC105371656, and SUFU</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Sep</publication><modification>2026-06-03T02:55:44.591Z</modification><creation>2026-04-23T03:13:15.648Z</creation></dates><accession>S-EPMC12434708</accession><cross_references><pubmed>40951946</pubmed><doi>10.1002/alz.70681</doi></cross_references></HashMap>