Achilleas Pitsillides

ORCID: 0000-0002-2658-1566
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About
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Research Areas
  • Genetic Associations and Epidemiology
  • Metabolomics and Mass Spectrometry Studies
  • Genomics and Rare Diseases
  • Epigenetics and DNA Methylation
  • Mitochondrial Function and Pathology
  • Bioinformatics and Genomic Networks
  • RNA modifications and cancer
  • Metabolism and Genetic Disorders
  • Genetics and Neurodevelopmental Disorders
  • Cholesterol and Lipid Metabolism
  • RNA Research and Splicing
  • Cancer-related molecular mechanisms research
  • Genetic Syndromes and Imprinting
  • Lipid metabolism and disorders
  • Platelet Disorders and Treatments
  • Cancer, Lipids, and Metabolism
  • Genetic Mapping and Diversity in Plants and Animals
  • Diabetes Treatment and Management
  • Alzheimer's disease research and treatments
  • Diet, Metabolism, and Disease
  • Diabetes and associated disorders
  • Lipid metabolism and biosynthesis
  • Nutrition, Genetics, and Disease
  • Antiplatelet Therapy and Cardiovascular Diseases
  • Diabetes Management and Research

Boston University
2015-2025

Brigham and Women's Hospital
2023

Harbor–UCLA Medical Center
2023

Framingham Heart Study
2016-2022

National Heart Lung and Blood Institute
2016-2022

National Institutes of Health
2017

University of California, Davis
2017

University of Washington
2017

The University of Texas Health Science Center at Houston
2017

University of Mississippi Medical Center
2017

Daniel Taliun Daniel Harris Michael D. Kessler Jedidiah Carlson Zachary A. Szpiech and 95 more Raúl Torres Sarah A. Gagliano Taliun André Corvelo Stephanie M. Gogarten Hyun Min Kang Achilleas Pitsillides Jonathon LeFaive Seung‐been Lee Xiaowen Tian Brian L. Browning Sayantan Das Anne‐Katrin Emde Wayne E. Clarke Douglas P. Loesch Amol C. Shetty Thomas W. Blackwell Albert V. Smith Quenna Wong Xiaoming Liu Matthew P. Conomos Dean Bobo François Aguet Christine M. Albert Álvaro Alonso Kristin Ardlie Dan E. Arking Stella Aslibekyan Paul L. Auer John Barnard R. Graham Barr Lucas Barwick Lewis C. Becker Rebecca Beer Emelia J. Benjamin Lawrence F. Bielak John Blangero Michael Boehnke Donald W. Bowden Jennifer A. Brody Esteban G. Burchard Brian E. Cade James F. Casella Brandon Chalazan Daniel I. Chasman Yii‐Der Ida Chen Michael H. Cho Seung Hoan Choi Mina K. Chung Clary B. Clish Adolfo Correa Joanne E. Curran Brian Custer Dawood Darbar Michelle Daya Mariza de Andrade Dawn L. DeMeo Susan K. Dutcher Patrick T. Ellinor Leslie Emery Celeste Eng Diane Fatkin Tasha E. Fingerlin Lukas Forer Myriam Fornage Nora Franceschini Christian Fuchsberger Stephanie M. Fullerton Søren Germer Mark T. Gladwin Daniel J. Gottlieb Xiuqing Guo Michael E. Hall Jiang He Nancy L. Heard‐Costa Susan R. Heckbert Marguerite R. Irvin Jill M. Johnsen Andrew D. Johnson Robert C. Kaplan Sharon L. R. Kardia Tanika N. Kelly Shannon Kelly Eimear E. Kenny Douglas P. Kiel Robert Klemmer Barbara A. Konkle Charles Kooperberg Anna Köttgen Leslie A. Lange Jessica Lasky‐Su Daniel Levy Xihong Lin Keng‐Han Lin Chunyu Liu Ruth J. F. Loos

Abstract The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood sleep disorders, with ultimate goal improving diagnosis, treatment prevention these diseases. initial phases focused on whole-genome sequencing individuals rich phenotypic data diverse backgrounds. Here we describe TOPMed goals design as well available resources early insights obtained from sequence data. include a variant browser, genotype...

10.1038/s41586-021-03205-y article EN cc-by Nature 2021-02-10
Daniel Taliun Daniel Harris Michael D. Kessler Jedidiah Carlson Zachary A. Szpiech and 95 more Raúl Torres Sarah A. Gagliano Taliun André Corvelo Stephanie M. Gogarten Hyun Min Kang Achilleas Pitsillides Jonathon LeFaive Seung‐been Lee Xiaowen Tian Brian L. Browning Sayantan Das Anne‐Katrin Emde Wayne E. Clarke Douglas P. Loesch Amol C. Shetty Thomas W. Blackwell Quenna Wong François Aguet Christine M. Albert Álvaro Alonso Kristin Ardlie Stella Aslibekyan Paul L. Auer John Barnard R. Graham Barr Lewis C. Becker Rebecca Beer Emelia J. Benjamin Lawrence F. Bielak John Blangero Michael Boehnke Donald W. Bowden Jennifer A. Brody Esteban G. Burchard Brian E. Cade James F. Casella Brandon Chalazan Yii‐Der Ida Chen Michael H. Cho Seung Hoan Choi Mina K. Chung Clary B. Clish Adolfo Correa Joanne E. Curran Brian Custer Dawood Darbar Michelle Daya Mariza de Andrade Dawn L. DeMeo Susan K. Dutcher Patrick T. Ellinor Leslie Emery Diane Fatkin Lukas Forer Myriam Fornage Nora Franceschini Christian Fuchsberger Stephanie M. Fullerton Søren Germer Mark T. Gladwin Daniel J. Gottlieb Xiuqing Guo Michael E. Hall Jiang He Nancy L. Heard‐Costa Susan R. Heckbert Marguerite R. Irvin Jill M. Johnsen Andrew D. Johnson Sharon L. R. Kardia Tanika N. Kelly Shannon Kelly Eimear E. Kenny Douglas P. Kiel Robert Klemmer Barbara A. Konkle Charles Kooperberg Anna Köttgen Leslie A. Lange Jessica Lasky‐Su Daniel Levy Xihong Lin Keng‐Han Lin Chunyu Liu Ruth J. F. Loos Lori Garman Robert E. Gerszten Steven A. Lubitz Kathryn L. Lunetta Angel C. Y. Mak Ani Manichaikul Alisa K. Manning Rasika A. Mathias David D. McManus Stephen T. McGarvey

Summary paragraph The Trans-Omics for Precision Medicine (TOPMed) program seeks to elucidate the genetic architecture and disease biology of heart, lung, blood, sleep disorders, with ultimate goal improving diagnosis, treatment, prevention. initial phases focus on whole genome sequencing individuals rich phenotypic data diverse backgrounds. Here, we describe TOPMed goals design as well resources early insights from sequence data. include a variant browser, genotype imputation panel, sharing...

10.1101/563866 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2019-03-06

Abstract INTRODUCTION Genome‐wide association studies (GWAS) have identified loci associated with Alzheimer's disease (AD) but did not identify specific causal genes or variants within those loci. Analysis of whole genome sequence (WGS) data, which interrogates the entire and captures rare variations, may GWAS METHODS We performed single common variant analysis aggregate analyses in pooled population ( N cases = 2184, controls 2383) targeted subpopulations using WGS data from Disease...

10.1002/alz.13705 article EN cc-by-nc-nd Alzheimer s & Dementia 2024-03-21

BackgroundPrior studies examined variants within presenilin-2 (PSEN2), presenilin-1 (PSEN1), and amyloid precursor protein (APP) genes. However, previously-reported clinically-relevant other predicted damaging missense (DM) have not been characterized in a newer release of the Alzheimer's Disease Sequencing Project (ADSP).ObjectiveTo characterize DM PSEN2, PSEN1, APP participants from ADSP.MethodsWe identified rare (MAF < 1%) 14,641 individuals with whole genome sequencing 16,849 exome...

10.1177/13872877251320375 article EN other-oa Journal of Alzheimer s Disease 2025-03-14

Mitochondrial DNA (mtDNA) is present in multiple copies human cells. We evaluated cross-sectional associations of whole blood mtDNA copy number (CN) with several cardiometabolic disease traits 408,361 participants ancestries TOPMed and UK Biobank. Age showed a threshold association CN: among younger (<65 years age), each additional 10 age was associated 0.03 standard deviation (s.d.) higher level CN (P = 0.0014) versus 0.14 s.d. lower 1.82 × 10-13) older (≥65 years). At levels, we found...

10.1016/j.xgen.2021.100006 article EN cc-by-nc-nd Cell Genomics 2021-10-01
Shweta Ramdas Jonathan Judd Sarah E. Graham Stavroula Kanoni Yuxuan Wang and 95 more Ida Surakka Brandon M. Wenz Shoa L. Clarke Alessandra Chesi Andrew D. Wells Konain Fatima Bhatti Sailaja Vedantam Thomas W. Winkler Adam E. Locke Eirini Marouli Greg J.M. Zajac Kuan-Han Wu Ιωάννα Ντάλλα Qin Hui Derek Klarin Austin T. Hilliard Zeyuan Wang Chao Xue Guðmar Þorleifsson Anna Helgadóttir Daníel F. Guðbjartsson Hilma Hólm Ísleifur Ólafsson Mi Yeong Hwang Sohee Han Masato Akiyama Saori Sakaue Chikashi Terao Masahiro Kanai Wei Zhou Ben Brumpton Humaira Rasheed Aki S. Havulinna Yogasudha Veturi Jennifer A. Pacheco Elisabeth A. Rosenthal Todd Lingren QiPing Feng Iftikhar J. Kullo Akira Narita Jun Takayama Hilary C. Martin Karen A. Hunt Bhavi Trivedi Jeffrey Haessler Franco Giulianini Yuki Bradford Jason E. Miller Archie Campbell Kuang Lin Iona Y. Millwood Asif Rasheed George Hindy Jessica D. Faul Wei Zhao David R. Weir Constance Turman Hongyan Huang Mariaelisa Graff Ananyo Choudhury Dhriti Sengupta Anubha Mahajan Michael R. Brown Weihua Zhang Ketian Yu Ellen M. Schmidt Anita Pandit Stefan Gustafsson Xianyong Yin Jian’an Luan Jinghua Zhao Fumihiko Matsuda Hye-Mi Jang Kyungheon Yoon Carolina Medina‐Gómez Achilleas Pitsillides Jouke‐Jan Hottenga Andrew R. Wood Yingji Ji Zishan Gao Simon Haworth Ruth E. Mitchell Jin Fang Chai Mette Aadahl Anne A. Bjerregaard Jie Yao Ani Manichaikul Wen‐Jane Lee Chao A. Hsiung Helen R. Warren Julia Ramírez Jette Bork‐Jensen Line Lund Kårhus Anuj Goel Maria Sabater‐Lleal

10.1016/j.ajhg.2022.06.012 article EN publisher-specific-oa The American Journal of Human Genetics 2022-08-01

Abstract INTRODUCTION Alzheimer's disease (AD) is a common disorder of the elderly that both highly heritable and genetically heterogeneous. METHODS We investigated association AD with variants aggregates rare coding non‐coding in 13,371 individuals diverse ancestry whole genome sequencing (WGS) data. RESULTS Pooled‐population analyses all identified genetic at apolipoprotein E ( APOE ) BIN1 associated p &lt; 5 × 10 −8 ). Subgroup‐specific haplotype on chromosome 14 including PSEN1...

10.1002/alz.14283 article EN cc-by-nc-nd Alzheimer s & Dementia 2024-10-20

Abstract Expression quantitative trait methylation (eQTM) analysis identifies DNA CpG sites at which is associated with gene expression. The present study describes an eQTM resource of CpG-transcript pairs derived from whole blood and RNA sequencing expression data in 2115 Framingham Heart Study participants. We identified 70,047 significant cis p &lt; 1E−7 where the top most eGenes (i.e., transcripts a CpG) were enriched biological pathways related to cell signaling, for 1208 clinical...

10.1038/s41598-023-39936-3 article EN cc-by Scientific Reports 2023-08-10

Background The relationship between mitochondrial DNA copy number (mtDNA CN) and cardiovascular disease remains elusive. Methods Results We performed cross-sectional prospective association analyses of blood-derived mtDNA CN outcomes in 27 316 participants 8 cohorts multiple racial ethnic groups with whole-genome sequencing. also Mendelian randomization to explore causal relationships coronary heart (CHD) cardiometabolic risk factors (obesity, diabetes, hypertension, hyperlipidemia).

10.1161/jaha.122.029090 article EN cc-by-nc-nd Journal of the American Heart Association 2023-10-07

OBJECTIVE To identify genetic risk factors for incident cardiovascular disease (CVD) among people with type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS We conducted a multiancestry time-to-event genome-wide association study CVD T2D. also tested 204 known coronary artery (CAD) variants CVD. RESULTS Among 49,230 participants T2D, 8,956 had events (event rate 18.2%). identified three novel loci CVD: rs147138607 (near CACNA1E/ZNF648, hazard ratio [HR] 1.23, P = 3.6 × 10−9), rs77142250 HS3ST1,...

10.2337/dc23-2274 article EN Diabetes Care 2024-04-23
Chloé Sarnowski Claudia L. Satizábal Charles DeCarli Achilleas Pitsillides L. Adrienne Cupples and 95 more Ramachandran S. Vasan James G. Wilson Joshua C. Bis Myriam Fornage Alexa Beiser Anita L. DeStefano Josée Dupuis Sudha Seshadri Donna K. Arnett Diane M. Becker Joshua C. Bis Eric Boerwinkle Michael Bowers Jan Bressler Adolfo Correa Anita L. DeStefano Jingzhong Ding David W. Fardo Myriam Fornage Alex Lugo David C. Glahn Hector M. González Kathleen M. Hayden Susan R. Heckbert Karin F. Hoth Timothy M. Hughes Cashell E. Jaquish Xueqiu Jian Emma Knowles Lenore J. Launer Honghuang Lin W. T. Longstreth Richard Mayeux Biswapriya B. Misra Thomas H. Mosley Paul Nyquist Michael Olivier Emmanuel Peprah Bruce M. Psaty Shaun Purcell Jerome I. Rotter Chloé Sarnowski Claudia L. Satizábal Gerard D. Schellenberg Sudha Seshadri Jeannette Simino Jennifer A. Smith Sylvia Smoller Beverly Snively Sophie Sokolow Kate Wehr Lisa R. Yanek Qiong Yang Abe Namiko Abecasis Goncalo Albert Christine Allred Nicholette Palmer Almasy Laura Alvaro Alonso Ament Seth Anderson Peter Anugu Pramod A. Nickerson Deborah Arking Dan Arnett Donna K Ashley-Koch Allison Aslibekyan Stella A Bruckner Tim Auer Paul Avramopoulos Dimitrios John Barnard Barnes Kathleen Barr R. Graham Barron-Casella Emily Beaty Terri Becker M Diane Becker Lewis Beer Rebecca Begum Ferdouse Beitelshees Amber Benjamin Emelia Bezerra Marcos Bielak Larry B. Benoit Joshua Blackwell Thomas Blangero John Boerwinkle Eric Ingrid Borecki Russell Bowler Brody Jennifer Broeckel Ulrich Broome Jai Bunting Karen Burchard Esteban Cardwell Jonathan

We sought to identify rare variants influencing brain imaging phenotypes in the Framingham Heart Study by performing whole genome sequence association analyses within Trans-Omics for Precision Medicine Program.We performed of cerebral and hippocampal volumes white matter hyperintensity (WMH) up 2,180 individuals testing rank-normalized residuals from mixed-effect linear regression models adjusted sex, age, total intracranial volume with individual while accounting familial relatedness....

10.1212/wnl.0000000000004820 article EN cc-by-nc-nd Neurology 2017-12-27

Abstract To create a scientific resource of expression quantitative trail loci (eQTL), we conducted genome-wide association study (GWAS) using genotypes obtained from whole genome sequencing (WGS) DNA and gene levels RNA (RNA-seq) blood in 2622 participants Framingham Heart Study. We identified 6,778,286 cis -eQTL variant-gene transcript (eGene) pairs at p &lt; 5 × 10 –8 (2,855,111 unique variants 15,982 eGenes) 1,469,754 trans variant-eGene 1e−12 (526,056 7233 eGenes). In addition, 442,379...

10.1038/s41598-022-24611-w article EN cc-by Scientific Reports 2022-11-23

Alzheimer's Disease (AD) is a common disorder of the elderly that both highly heritable and genetically heterogeneous. Here, we investigated association between AD variants aggregates rare coding noncoding in 13,371 individuals diverse ancestry with whole genome sequence (WGS) data. Pooled-population analyses identified genetic or near APOE, BIN1, LINC00320 significantly associated (p < 5×10-8). Population-specific haplotype on chromosome 14 including PSEN1 Hispanics, further supported by...

10.1101/2023.09.01.23294953 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2023-09-02

DNA methylation commonly occurs at cytosine-phosphate-guanine sites (CpGs) that can serve as biomarkers for many diseases. We analyzed whole genome sequencing data to identify quantitative trait loci (mQTLs) in 4126 Framingham Heart Study participants. Our mQTL mapping identified 94,362,817 cis-mQTLvariant-CpG pairs (for 210,156 unique autosomal CpGs) P < 1e-7 and 33,572,145 trans-mQTL variant-CpG 213,606 1e-14. Using cis-mQTL variants 1258 CpGs associated with seven cardiovascular disease...

10.1038/s41598-022-24100-0 article EN cc-by Scientific Reports 2022-11-15

Single nucleotide polymorphisms (SNPs) located in the chromosomal region 16p13.13 have been previously associated with risk for several autoimmune diseases, including type 1 diabetes. To identify and localize specific variants diabetes this understand mechanism of their action, we resequenced a 455-kb diabetic patients unaffected control subjects, identifying 93 novel variants. A panel 939 SNPs that included 46 these was genotyped 3,070 multiplex families Forty-eight SNPs, all CLEC16A,...

10.2337/db13-1785 article EN Diabetes 2014-07-10

Abstract Risk for late-onset Alzheimer’s disease (LOAD) is driven by multiple loci primarily identified genome-wide association studies, many of which are common variants with minor allele frequencies (MAF)&gt; 0.01. To identify additional and rare LOAD risk variants, we performed a GWAS on 25,170 subjects 41,052 cognitively normal controls in 44 datasets from the International Genomics Project (IGAP). Existing genotype data was imputed using dense, high-resolution Haplotype Reference...

10.1101/2021.03.14.21253553 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2021-03-24

Background: The widely held assumptions that in type 1 diabetes glucose variability may correlate with insulin sensitivity and impaired epinephrine counterregulation have not been studied directly. Here we investigate possible relationships between outpatient measures of risk for hypoglycemia physiological characteristics: counterregulation. Methods: Thirty-four subjects (14 women, 20 men; 37 ± 2.1 years old; glycosylated hemoglobin [HbA1c], 7.6 0.21%) performed self-monitoring blood (SMBG)...

10.1089/dia.2010.0103 article EN Diabetes Technology & Therapeutics 2010-12-22

Prior studies using the ADSP data examined variants within presenilin-2 (PSEN2), presenilin-1 (PSEN1), and amyloid precursor protein (APP) genes. However, previously-reported clinically-relevant other predicted damaging missense (DM) have not been characterized in a newer release of Alzheimer's Disease Sequencing Project (ADSP).

10.1101/2023.10.24.23297227 preprint EN 2023-10-25

Summary Inhibition of platelet reactivity is a common therapeutic strategy in secondary prevention cardiovascular disease. Genetic and environmental factors influence inter-individual variation reactivity. Identifying genes that contribute to can reveal new biological mechanisms possible targets. Here, we examined rare coding identify associated with population-based cohort. To do so, performed whole exome sequencing the Framingham Heart Study conducted single variant gene-based association...

10.1160/th16-09-0677 article EN Thrombosis and Haemostasis 2017-01-01
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