@article {7568, title = {Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity.}, journal = {Nat Commun}, volume = {8}, year = {2017}, month = {2017 Oct 13}, pages = {910}, abstract = {

Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents{\textquoteright} survival, we discover two regions associated with longevity (HLA-DQA1/DRB1 and LPA). We also validate previous suggestions that APOE, CHRNA3/5, CDKN2A/B, SH2B3 and FOXO3A influence longevity. Next we show that giving up smoking, educational attainment, openness to new experience and high-density lipoprotein (HDL) cholesterol levels are most positively genetically correlated with lifespan while susceptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistance and body fat are most negatively correlated. We suggest that the effect of education on lifespan is principally mediated through smoking while the effect of obesity appears to act via CAD. Using instrumental variables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while 1 year of education adds 11 months to expected lifespan.Variability in human longevity is genetically influenced. Using genetic data of parental lifespan, the authors identify associations at HLA-DQA/DRB1 and LPA and find that genetic variants that increase educational attainment have a positive effect on lifespan whereas increasing BMI negatively affects lifespan.

}, issn = {2041-1723}, doi = {10.1038/s41467-017-00934-5}, author = {Joshi, Peter K and Pirastu, Nicola and Kentistou, Katherine A and Fischer, Krista and Hofer, Edith and Schraut, Katharina E and Clark, David W and Nutile, Teresa and Barnes, Catriona L K and Timmers, Paul R H J and Shen, Xia and Gandin, Ilaria and McDaid, Aaron F and Hansen, Thomas Folkmann and Gordon, Scott D and Giulianini, Franco and Boutin, Thibaud S and Abdellaoui, Abdel and Zhao, Wei and Medina-G{\'o}mez, Carolina and Bartz, Traci M and Trompet, Stella and Lange, Leslie A and Raffield, Laura and van der Spek, Ashley and Galesloot, Tessel E and Proitsi, Petroula and Yanek, Lisa R and Bielak, Lawrence F and Payton, Antony and Murgia, Federico and Concas, Maria Pina and Biino, Ginevra and Tajuddin, Salman M and Sepp{\"a}l{\"a}, Ilkka and Amin, Najaf and Boerwinkle, Eric and B{\o}rglum, Anders D and Campbell, Archie and Demerath, Ellen W and Demuth, Ilja and Faul, Jessica D and Ford, Ian and Gialluisi, Alessandro and G{\"o}gele, Martin and Graff, Mariaelisa and Hingorani, Aroon and Hottenga, Jouke-Jan and Hougaard, David M and Hurme, Mikko A and Ikram, M Arfan and Jylh{\"a}, Marja and Kuh, Diana and Ligthart, Lannie and Lill, Christina M and Lindenberger, Ulman and Lumley, Thomas and M{\"a}gi, Reedik and Marques-Vidal, Pedro and Medland, Sarah E and Milani, Lili and Nagy, Reka and Ollier, William E R and Peyser, Patricia A and Pramstaller, Peter P and Ridker, Paul M and Rivadeneira, Fernando and Ruggiero, Daniela and Saba, Yasaman and Schmidt, Reinhold and Schmidt, Helena and Slagboom, P Eline and Smith, Blair H and Smith, Jennifer A and Sotoodehnia, Nona and Steinhagen-Thiessen, Elisabeth and van Rooij, Frank J A and Verbeek, Andr{\'e} L and Vermeulen, Sita H and Vollenweider, Peter and Wang, Yunpeng and Werge, Thomas and Whitfield, John B and Zonderman, Alan B and Lehtim{\"a}ki, Terho and Evans, Michele K and Pirastu, Mario and Fuchsberger, Christian and Bertram, Lars and Pendleton, Neil and Kardia, Sharon L R and Ciullo, Marina and Becker, Diane M and Wong, Andrew and Psaty, Bruce M and van Duijn, Cornelia M and Wilson, James G and Jukema, J Wouter and Kiemeney, Lambertus and Uitterlinden, Andr{\'e} G and Franceschini, Nora and North, Kari E and Weir, David R and Metspalu, Andres and Boomsma, Dorret I and Hayward, Caroline and Chasman, Daniel and Martin, Nicholas G and Sattar, Naveed and Campbell, Harry and Esko, T{\~o}nu and Kutalik, Zolt{\'a}n and Wilson, James F} } @article {9372, title = {Genome-Wide Association Study of Apparent Treatment-Resistant Hypertension in the CHARGE Consortium: The CHARGE Pharmacogenetics Working Group.}, journal = {Am J Hypertens}, volume = {32}, year = {2019}, month = {2019 Nov 15}, pages = {1146-1153}, abstract = {

BACKGROUND: Only a handful of genetic discovery efforts in apparent treatment-resistant hypertension (aTRH) have been described.

METHODS: We conducted a case-control genome-wide association study of aTRH among persons treated for hypertension, using data from 10 cohorts of European ancestry (EA) and 5 cohorts of African ancestry (AA). Cases were treated with 3 different antihypertensive medication classes and had blood pressure (BP) above goal (systolic BP >= 140 mm Hg and/or diastolic BP >= 90 mm Hg) or 4 or more medication classes regardless of BP control (nEA = 931, nAA = 228). Both a normotensive control group and a treatment-responsive control group were considered in separate analyses. Normotensive controls were untreated (nEA = 14,210, nAA = 2,480) and had systolic BP/diastolic BP < 140/90 mm Hg. Treatment-responsive controls (nEA = 5,266, nAA = 1,817) had BP at goal (<140/90 mm Hg), while treated with one antihypertensive medication class. Individual cohorts used logistic regression with adjustment for age, sex, study site, and principal components for ancestry to examine the association of single-nucleotide polymorphisms with case-control status. Inverse variance-weighted fixed-effects meta-analyses were carried out using METAL.

RESULTS: The known hypertension locus, CASZ1, was a top finding among EAs (P = 1.1 {\texttimes} 10-8) and in the race-combined analysis (P = 1.5 {\texttimes} 10-9) using the normotensive control group (rs12046278, odds ratio = 0.71 (95\% confidence interval: 0.6-0.8)). Single-nucleotide polymorphisms in this locus were robustly replicated in the Million Veterans Program (MVP) study in consideration of a treatment-responsive control group. There were no statistically significant findings for the discovery analyses including treatment-responsive controls.

CONCLUSION: This genomic discovery effort for aTRH identified CASZ1 as an aTRH risk locus.

}, keywords = {Aged, Antihypertensive Agents, Black or African American, Blood Pressure, Case-Control Studies, DNA (Cytosine-5-)-Methyltransferases, DNA Methyltransferase 3A, DNA-Binding Proteins, Drug Resistance, Dystrophin-Associated Proteins, Europe, Female, Genetic Loci, Genome-Wide Association Study, Humans, Hypertension, Male, Middle Aged, Myosin Heavy Chains, Myosin Type V, Neuropeptides, Pharmacogenetics, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, Transcription Factors, United States, White People}, issn = {1941-7225}, doi = {10.1093/ajh/hpz150}, author = {Irvin, Marguerite R and Sitlani, Colleen M and Floyd, James S and Psaty, Bruce M and Bis, Joshua C and Wiggins, Kerri L and Whitsel, Eric A and St{\"u}rmer, Til and Stewart, James and Raffield, Laura and Sun, Fangui and Liu, Ching-Ti and Xu, Hanfei and Cupples, Adrienne L and Tanner, Rikki M and Rossing, Peter and Smith, Albert and Zilh{\~a}o, Nuno R and Launer, Lenore J and Noordam, Raymond and Rotter, Jerome I and Yao, Jie and Li, Xiaohui and Guo, Xiuqing and Limdi, Nita and Sundaresan, Aishwarya and Lange, Leslie and Correa, Adolfo and Stott, David J and Ford, Ian and Jukema, J Wouter and Gudnason, Vilmundur and Mook-Kanamori, Dennis O and Trompet, Stella and Palmas, Walter and Warren, Helen R and Hellwege, Jacklyn N and Giri, Ayush and O{\textquoteright}donnell, Christopher and Hung, Adriana M and Edwards, Todd L and Ahluwalia, Tarunveer S and Arnett, Donna K and Avery, Christy L} } @article {8986, title = {Clonal Hematopoiesis Is Associated With Higher Risk of Stroke.}, journal = {Stroke}, volume = {53}, year = {2022}, month = {2022 Mar}, pages = {788-797}, abstract = {

BACKGROUND AND PURPOSE: Clonal hematopoiesis of indeterminate potential (CHIP) is a novel age-related risk factor for cardiovascular disease-related morbidity and mortality. The association of CHIP with risk of incident ischemic stroke was reported previously in an exploratory analysis including a small number of incident stroke cases without replication and lack of stroke subphenotyping. The purpose of this study was to discover whether CHIP is a risk factor for ischemic or hemorrhagic stroke.

METHODS: We utilized plasma genome sequence data of blood DNA to identify CHIP in 78 752 individuals from 8 prospective cohorts and biobanks. We then assessed the association of CHIP and commonly mutated individual CHIP driver genes (, , and ) with any stroke, ischemic stroke, and hemorrhagic stroke.

RESULTS: CHIP was associated with an increased risk of total stroke (hazard ratio, 1.14 [95\% CI, 1.03-1.27]; =0.01) after adjustment for age, sex, and race. We observed associations with CHIP with risk of hemorrhagic stroke (hazard ratio, 1.24 [95\% CI, 1.01-1.51]; =0.04) and with small vessel ischemic stroke subtypes. In gene-specific association results, showed the strongest association with total stroke and ischemic stroke, whereas and were each associated with increased risk of hemorrhagic stroke.

CONCLUSIONS: CHIP is associated with an increased risk of stroke, particularly with hemorrhagic and small vessel ischemic stroke. Future studies clarifying the relationship between CHIP and subtypes of stroke are needed.

}, issn = {1524-4628}, doi = {10.1161/STROKEAHA.121.037388}, author = {Bhattacharya, Romit and Zekavat, Seyedeh M and Haessler, Jeffrey and Fornage, Myriam and Raffield, Laura and Uddin, Md Mesbah and Bick, Alexander G and Niroula, Abhishek and Yu, Bing and Gibson, Christopher and Griffin, Gabriel and Morrison, Alanna C and Psaty, Bruce M and Longstreth, William T and Bis, Joshua C and Rich, Stephen S and Rotter, Jerome I and Tracy, Russell P and Correa, Adolfo and Seshadri, Sudha and Johnson, Andrew and Collins, Jason M and Hayden, Kathleen M and Madsen, Tracy E and Ballantyne, Christie M and Jaiswal, Siddhartha and Ebert, Benjamin L and Kooperberg, Charles and Manson, JoAnn E and Whitsel, Eric A and Natarajan, Pradeep and Reiner, Alexander P} } @article {9161, title = {Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations.}, journal = {Commun Biol}, volume = {5}, year = {2022}, month = {2022 08 22}, pages = {856}, abstract = {

Polygenic risk scores (PRS) are commonly used to quantify the inherited susceptibility for a trait, yet they fail to account for non-linear and interaction effects between single nucleotide polymorphisms (SNPs). We address this via a machine learning approach, validated in nine complex phenotypes in a multi-ancestry population. We use an ensemble method of SNP selection followed by gradient boosted trees (XGBoost) to allow for non-linearities and interaction effects. We compare our results to the standard, linear PRS model developed using PRSice, LDpred2, and lassosum2. Combining a PRS as a feature in an XGBoost model results in a relative increase in the percentage variance explained compared to the standard linear PRS model by 22\% for height, 27\% for HDL cholesterol, 43\% for body mass index, 50\% for sleep duration, 58\% for systolic blood pressure, 64\% for total cholesterol, 66\% for triglycerides, 77\% for LDL cholesterol, and 100\% for diastolic blood pressure. Multi-ancestry trained models perform similarly to specific racial/ethnic group trained models and are consistently superior to the standard linear PRS models. This work demonstrates an effective method to account for non-linearities and interaction effects in genetics-based prediction models.

}, keywords = {Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Machine Learning, Multifactorial Inheritance, Polymorphism, Single Nucleotide}, issn = {2399-3642}, doi = {10.1038/s42003-022-03812-z}, author = {Elgart, Michael and Lyons, Genevieve and Romero-Brufau, Santiago and Kurniansyah, Nuzulul and Brody, Jennifer A and Guo, Xiuqing and Lin, Henry J and Raffield, Laura and Gao, Yan and Chen, Han and de Vries, Paul and Lloyd-Jones, Donald M and Lange, Leslie A and Peloso, Gina M and Fornage, Myriam and Rotter, Jerome I and Rich, Stephen S and Morrison, Alanna C and Psaty, Bruce M and Levy, Daniel and Redline, Susan and Sofer, Tamar} } @article {9742, title = {Epigenome-wide DNA Methylation Association Study of CHIP Provides Insight into Perturbed Gene Regulation.}, journal = {Res Sq}, year = {2024}, month = {2024 Jul 16}, abstract = {

With age, hematopoietic stem cells can acquire somatic mutations in leukemogenic genes that confer a proliferative advantage in a phenomenon termed "clonal hematopoiesis of indeterminate potential" (CHIP). How these mutations confer a proliferative advantage and result in increased risk for numerous age-related diseases remains poorly understood. We conducted a multiracial meta-analysis of epigenome-wide association studies (EWAS) of CHIP and its subtypes in four cohorts (N=8196) to elucidate the molecular mechanisms underlying CHIP and illuminate how these changes influence cardiovascular disease risk. The EWAS findings were functionally validated using human hematopoietic stem cell (HSC) models of CHIP. A total of 9615 CpGs were associated with any CHIP, 5990 with DNMT3A CHIP, 5633 with TET2 CHIP, and 6078 with ASXL1 CHIP (P <1{\texttimes}10). CpGs associated with CHIP subtypes overlapped moderately, and the genome-wide DNA methylation directions of effect were opposite for TET2 and DNMT3A CHIP, consistent with their opposing effects on global DNA methylation. There was high directional concordance between the CpGs shared from the meta-EWAS and human edited CHIP HSCs. Expression quantitative trait methylation analysis further identified transcriptomic changes associated with CHIP-associated CpGs. Causal inference analyses revealed 261 CHIP-associated CpGs associated with cardiovascular traits and all-cause mortality (FDR adjusted p-value <0.05). Taken together, our study sheds light on the epigenetic changes impacted by CHIP and their associations with age-related disease outcomes. The novel genes and pathways linked to the epigenetic features of CHIP may serve as therapeutic targets for preventing or treating CHIP-mediated diseases.

}, issn = {2693-5015}, doi = {10.21203/rs.3.rs-4656898/v1}, author = {Levy, Daniel and Kirmani, Sara and Huan, Tianxiao and Van Amburg, Joseph and Joehanes, Roby and Uddin, Md Mesbah and Nguyen, Ngoc Quynh and Yu, Bing and Brody, Jennifer and Fornage, Myriam and Bressler, Jan and Sotoodehnia, Nona and Ong, David and Puddu, Fabio and Floyd, James and Ballantyne, Christie and Psaty, Bruce and Raffield, Laura and Natarajan, Pradeep and Conneely, Karen and Carson, April and Lange, Leslie and Ferrier, Kendra and Heard-Costa, Nancy and Murabito, Joanne and Bick, Alexander} } @article {9790, title = {A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations.}, journal = {Res Sq}, year = {2024}, month = {2024 Jul 17}, abstract = {

Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to 23 genes. Investigating these genes{\textquoteright} functional implications shed light on neurological, thyroidal, bone metabolism, and hematopoietic pathways that necessitate future investigation for blood pressure management that caters to sleep health lifestyle. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausible nature of distinct influences of both sleep duration extremes in cardiovascular health. Several of our loci are specific towards a particular population background or sex, emphasizing the importance of addressing heterogeneity entangled in gene-environment interactions, when considering precision medicine design approaches for blood pressure management.

}, issn = {2693-5015}, doi = {10.21203/rs.3.rs-4163414/v1}, author = {Wang, Heming and Nagarajan, Pavithra and Winkler, Thomas and Bentley, Amy and Miller, Clint and Kraja, Aldi and Schwander, Karen and Lee, Songmi and Wang, Wenyi and Brown, Michael and Morrison, John and Giri, Ayush and O{\textquoteright}Connell, Jeffrey and Bartz, Traci and de Las Fuentes, Lisa and Gudmundsdottir, Valborg and Guo, Xiuqing and Harris, Sarah and Huang, Zhijie and Kals, Mart and Kho, Minjung and Lefevre, Christophe and Luan, Jian{\textquoteright}an and Lyytik{\"a}inen, Leo-Pekka and Mangino, Massimo and Milaneschi, Y and Palmer, Nicholette and Rao, Varun and Rauramaa, Rainer and Shen, Botong and Stadler, Stefan and Sun, Quan and Tang, Jingxian and Th{\'e}riault, S{\'e}bastien and van der Graaf, Adriaan and van der Most, Peter and Wang, Yujie and Weiss, Stefan and Westerman, Kenneth and Yang, Qian and Yasuharu, Tabara and Zhao, Wei and Zhu, Wanying and Altschul, Drew and Ansari, Md Abu Yusuf and Anugu, Pramod and Argoty-Pantoja, Anna and Arzt, Michael and Aschard, Hugues and Attia, John and Bazzano, Lydia and Breyer, Max and Brody, Jennifer and Cade, Brian and Chen, Hung-Hsin and Chen, Yii-Der Ida and Chen, Zekai and de Vries, Paul and Dimitrov, Latchezar and Do, Ahn and Du, Jiawen and Dupont, Charles and Edwards, Todd and Evans, Michele and Faquih, Tariq and Felix, Stephan and Fisher-Hoch, Susan and Floyd, James and Graff, Mariaelisa and Charles Gu, C and Gu, Dongfeng and Hairston, Kristen and Hanley, Anthony and Heid, Iris and Heikkinen, Sami and Highland, Heather and Hood, Michelle and K{\"a}h{\"o}nen, Mika and Karvonen-Gutierrez, Carrie and Kawaguchi, Takahisa and Kazuya, Setoh and Tanika, Kelly and Komulainen, Pirjo and Levy, Daniel and Lin, Henry and Liu, Peter and Marques-Vidal, Pedro and McCormick, Joseph and Mei, Hao and Meigs, James and Menni, Cristina and Nam, Kisung and Nolte, Ilja and Pacheco, Natasha and Petty, Lauren and Polikowsky, Hannah and Province, Michael and Psaty, Bruce and Raffield, Laura and Raitakari, Olli and Rich, Stephen and Riha, Renata and Risch, Lorenz and Risch, Martin and Ruiz-Narvaez, Edward and Scott, Rodney and Sitlani, Colleen and Smith, Jennifer and Sofer, Tamar and Teder-Laving, Maris and V{\"o}lker, Uwe and Vollenweider, Peter and Wang, Guanchao and van Dijk, Ko Willems and Wilson, Otis and Xia, Rui and Yao, Jie and Young, Kristin and Zhang, Ruiyuan and Zhu, Xiaofeng and Below, Jennifer and B{\"o}ger, Carsten and Conen, David and Cox, Simon and D{\"o}rr, Marcus and Feitosa, Mary and Fox, Ervin and Franceschini, Nora and Gharib, Sina and Gudnason, Vilmundur and Harlow, Sioban and He, Jiang and Holliday, Elizabeth and Kutalik, Zolt{\'a}n and Lakka, Timo and Lawlor, Deborah and Lee, Seunggeun and Lehtim{\"a}ki, Terho and Li, Changwei and Liu, Ching-Ti and M{\"a}gi, Reedik and Matsuda, Fumihiko and Morrison, Alanna and Penninx, Brenda W J H and Peyser, Patricia and Rotter, Jerome and Snieder, Harold and Spector, T and Wagenknecht, Lynne and Wareham, Nicholas and Zonderman, Alan and North, Kari and Fornage, Myriam and Hung, Adriana and Manning, Alisa and Gauderman, W and Chen, Han and Munroe, Patricia and Rao, Dabeeru and van Heemst, Diana and Redline, Susan and Noordam, Raymond} }