@article {6804, title = {Genome-wide meta-analyses of smoking behaviors in African Americans.}, journal = {Transl Psychiatry}, volume = {2}, year = {2012}, month = {2012}, pages = {e119}, abstract = {

The identification and exploration of genetic loci that influence smoking behaviors have been conducted primarily in populations of the European ancestry. Here we report results of the first genome-wide association study meta-analysis of smoking behavior in African Americans in the Study of Tobacco in Minority Populations Genetics Consortium (n = 32,389). We identified one non-coding single-nucleotide polymorphism (SNP; rs2036527[A]) on chromosome 15q25.1 associated with smoking quantity (cigarettes per day), which exceeded genome-wide significance (β = 0.040, s.e. = 0.007, P = 1.84 {\texttimes} 10(-8)). This variant is present in the 5{\textquoteright}-distal enhancer region of the CHRNA5 gene and defines the primary index signal reported in studies of the European ancestry. No other SNP reached genome-wide significance for smoking initiation (SI, ever vs never smoking), age of SI, or smoking cessation (SC, former vs current smoking). Informative associations that approached genome-wide significance included three modestly correlated variants, at 15q25.1 within PSMA4, CHRNA5 and CHRNA3 for smoking quantity, which are associated with a second signal previously reported in studies in European ancestry populations, and a signal represented by three SNPs in the SPOCK2 gene on chr10q22.1. The association at 15q25.1 confirms this region as an important susceptibility locus for smoking quantity in men and women of African ancestry. Larger studies will be needed to validate the suggestive loci that did not reach genome-wide significance and further elucidate the contribution of genetic variation to disparities in cigarette consumption, SC and smoking-attributable disease between African Americans and European Americans.

}, keywords = {Adult, African Americans, Aged, Chromosomes, Human, Pair 10, Chromosomes, Human, Pair 15, Female, Genetic Loci, Genetic Predisposition to Disease, Genetic Variation, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Nerve Tissue Proteins, Phenotype, Polymorphism, Single Nucleotide, Proteoglycans, Receptors, Nicotinic, Smoking, Statistics as Topic}, issn = {2158-3188}, doi = {10.1038/tp.2012.41}, author = {David, S P and Hamidovic, A and Chen, G K and Bergen, A W and Wessel, J and Kasberger, J L and Brown, W M and Petruzella, S and Thacker, E L and Kim, Y and Nalls, M A and Tranah, G J and Sung, Y J and Ambrosone, C B and Arnett, D and Bandera, E V and Becker, D M and Becker, L and Berndt, S I and Bernstein, L and Blot, W J and Broeckel, U and Buxbaum, S G and Caporaso, N and Casey, G and Chanock, S J and Deming, S L and Diver, W R and Eaton, C B and Evans, D S and Evans, M K and Fornage, M and Franceschini, N and Harris, T B and Henderson, B E and Hernandez, D G and Hitsman, B and Hu, J J and Hunt, S C and Ingles, S A and John, E M and Kittles, R and Kolb, S and Kolonel, L N and Le Marchand, L and Liu, Y and Lohman, K K and McKnight, B and Millikan, R C and Murphy, A and Neslund-Dudas, C and Nyante, S and Press, M and Psaty, B M and Rao, D C and Redline, S and Rodriguez-Gil, J L and Rybicki, B A and Signorello, L B and Singleton, A B and Smoller, J and Snively, B and Spring, B and Stanford, J L and Strom, S S and Swan, G E and Taylor, K D and Thun, M J and Wilson, A F and Witte, J S and Yamamura, Y and Yanek, L R and Yu, K and Zheng, W and Ziegler, R G and Zonderman, A B and Jorgenson, E and Haiman, C A and Furberg, H} } @article {8570, title = {A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape.}, journal = {Nat Commun}, volume = {7}, year = {2016}, month = {2016 11 23}, pages = {13357}, abstract = {

Large consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that calculates averaged PCs (AvPCs) representing body shape derived from six anthropometric traits (body mass index, height, weight, waist and hip circumference, waist-to-hip ratio). The first four AvPCs explain >99\% of the variability, are heritable, and associate with cardiometabolic outcomes. We performed genome-wide association analyses for each body shape composite phenotype across 65 studies and meta-analysed summary statistics. We identify six novel loci: LEMD2 and CD47 for AvPC1, RPS6KA5/C14orf159 and GANAB for AvPC3, and ARL15 and ANP32 for AvPC4. Our findings highlight the value of using multiple traits to define complex phenotypes for discovery, which are not captured by single-trait analyses, and may shed light onto new pathways.

}, keywords = {Anthropometry, Body Size, Genome-Wide Association Study, Genotype, Humans, Models, Genetic, Principal Component Analysis}, issn = {2041-1723}, doi = {10.1038/ncomms13357}, author = {Ried, Janina S and Jeff M, Janina and Chu, Audrey Y and Bragg-Gresham, Jennifer L and van Dongen, Jenny and Huffman, Jennifer E and Ahluwalia, Tarunveer S and Cadby, Gemma and Eklund, Niina and Eriksson, Joel and Esko, T{\~o}nu and Feitosa, Mary F and Goel, Anuj and Gorski, Mathias and Hayward, Caroline and Heard-Costa, Nancy L and Jackson, Anne U and Jokinen, Eero and Kanoni, Stavroula and Kristiansson, Kati and Kutalik, Zolt{\'a}n and Lahti, Jari and Luan, Jian{\textquoteright}an and M{\"a}gi, Reedik and Mahajan, Anubha and Mangino, Massimo and Medina-G{\'o}mez, Carolina and Monda, Keri L and Nolte, Ilja M and Perusse, Louis and Prokopenko, Inga and Qi, Lu and Rose, Lynda M and Salvi, Erika and Smith, Megan T and Snieder, Harold and Stan{\v c}{\'a}kov{\'a}, Alena and Ju Sung, Yun and Tachmazidou, Ioanna and Teumer, Alexander and Thorleifsson, Gudmar and van der Harst, Pim and Walker, Ryan W and Wang, Sophie R and Wild, Sarah H and Willems, Sara M and Wong, Andrew and Zhang, Weihua and Albrecht, Eva and Couto Alves, Alexessander and Bakker, Stephan J L and Barlassina, Cristina and Bartz, Traci M and Beilby, John and Bellis, Claire and Bergman, Richard N and Bergmann, Sven and Blangero, John and Bl{\"u}her, Matthias and Boerwinkle, Eric and Bonnycastle, Lori L and Bornstein, Stefan R and Bruinenberg, Marcel and Campbell, Harry and Chen, Yii-Der Ida and Chiang, Charleston W K and Chines, Peter S and Collins, Francis S and Cucca, Fracensco and Cupples, L Adrienne and D{\textquoteright}Avila, Francesca and de Geus, Eco J C and Dedoussis, George and Dimitriou, Maria and D{\"o}ring, Angela and Eriksson, Johan G and Farmaki, Aliki-Eleni and Farrall, Martin and Ferreira, Teresa and Fischer, Krista and Forouhi, Nita G and Friedrich, Nele and Gjesing, Anette Prior and Glorioso, Nicola and Graff, Mariaelisa and Grallert, Harald and Grarup, Niels and Gr{\"a}{\ss}ler, J{\"u}rgen and Grewal, Jagvir and Hamsten, Anders and Harder, Marie Neergaard and Hartman, Catharina A and Hassinen, Maija and Hastie, Nicholas and Hattersley, Andrew Tym and Havulinna, Aki S and Heli{\"o}vaara, Markku and Hillege, Hans and Hofman, Albert and Holmen, Oddgeir and Homuth, Georg and Hottenga, Jouke-Jan and Hui, Jennie and Husemoen, Lise Lotte and Hysi, Pirro G and Isaacs, Aaron and Ittermann, Till and Jalilzadeh, Shapour and James, Alan L and J{\o}rgensen, Torben and Jousilahti, Pekka and Jula, Antti and Marie Justesen, Johanne and Justice, Anne E and K{\"a}h{\"o}nen, Mika and Karaleftheri, Maria and Tee Khaw, Kay and Keinanen-Kiukaanniemi, Sirkka M and Kinnunen, Leena and Knekt, Paul B and Koistinen, Heikki A and Kolcic, Ivana and Kooner, Ishminder K and Koskinen, Seppo and Kovacs, Peter and Kyriakou, Theodosios and Laitinen, Tomi and Langenberg, Claudia and Lewin, Alexandra M and Lichtner, Peter and Lindgren, Cecilia M and Lindstr{\"o}m, Jaana and Linneberg, Allan and Lorbeer, Roberto and Lorentzon, Mattias and Luben, Robert and Lyssenko, Valeriya and M{\"a}nnist{\"o}, Satu and Manunta, Paolo and Leach, Irene Mateo and McArdle, Wendy L and McKnight, Barbara and Mohlke, Karen L and Mihailov, Evelin and Milani, Lili and Mills, Rebecca and Montasser, May E and Morris, Andrew P and M{\"u}ller, Gabriele and Musk, Arthur W and Narisu, Narisu and Ong, Ken K and Oostra, Ben A and Osmond, Clive and Palotie, Aarno and Pankow, James S and Paternoster, Lavinia and Penninx, Brenda W and Pichler, Irene and Pilia, Maria G and Polasek, Ozren and Pramstaller, Peter P and Raitakari, Olli T and Rankinen, Tuomo and Rao, D C and Rayner, Nigel W and Ribel-Madsen, Rasmus and Rice, Treva K and Richards, Marcus and Ridker, Paul M and Rivadeneira, Fernando and Ryan, Kathy A and Sanna, Serena and Sarzynski, Mark A and Scholtens, Salome and Scott, Robert A and Sebert, Sylvain and Southam, Lorraine and Spars{\o}, Thomas Hempel and Steinthorsdottir, Valgerdur and Stirrups, Kathleen and Stolk, Ronald P and Strauch, Konstantin and Stringham, Heather M and Swertz, Morris A and Swift, Amy J and T{\"o}njes, Anke and Tsafantakis, Emmanouil and van der Most, Peter J and van Vliet-Ostaptchouk, Jana V and Vandenput, Liesbeth and Vartiainen, Erkki and Venturini, Cristina and Verweij, Niek and Viikari, Jorma S and Vitart, Veronique and Vohl, Marie-Claude and Vonk, Judith M and Waeber, G{\'e}rard and Widen, Elisabeth and Willemsen, Gonneke and Wilsgaard, Tom and Winkler, Thomas W and Wright, Alan F and Yerges-Armstrong, Laura M and Hua Zhao, Jing and Zillikens, M Carola and Boomsma, Dorret I and Bouchard, Claude and Chambers, John C and Chasman, Daniel I and Cusi, Daniele and Gansevoort, Ron T and Gieger, Christian and Hansen, Torben and Hicks, Andrew A and Hu, Frank and Hveem, Kristian and Jarvelin, Marjo-Riitta and Kajantie, Eero and Kooner, Jaspal S and Kuh, Diana and Kuusisto, Johanna and Laakso, Markku and Lakka, Timo A and Lehtim{\"a}ki, Terho and Metspalu, Andres and Nj{\o}lstad, Inger and Ohlsson, Claes and Oldehinkel, Albertine J and Palmer, Lyle J and Pedersen, Oluf and Perola, Markus and Peters, Annette and Psaty, Bruce M and Puolijoki, Hannu and Rauramaa, Rainer and Rudan, Igor and Salomaa, Veikko and Schwarz, Peter E H and Shudiner, Alan R and Smit, Jan H and S{\o}rensen, Thorkild I A and Spector, Timothy D and Stefansson, Kari and Stumvoll, Michael and Tremblay, Angelo and Tuomilehto, Jaakko and Uitterlinden, Andr{\'e} G and Uusitupa, Matti and V{\"o}lker, Uwe and Vollenweider, Peter and Wareham, Nicholas J and Watkins, Hugh and Wilson, James F and Zeggini, Eleftheria and Abecasis, Goncalo R and Boehnke, Michael and Borecki, Ingrid B and Deloukas, Panos and van Duijn, Cornelia M and Fox, Caroline and Groop, Leif C and Heid, Iris M and Hunter, David J and Kaplan, Robert C and McCarthy, Mark I and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Schlessinger, David and Thorsteinsdottir, Unnur and Strachan, David P and Frayling, Timothy and Hirschhorn, Joel N and M{\"u}ller-Nurasyid, Martina and Loos, Ruth J F} } @article {6793, title = {Rare, low frequency and common coding variants in CHRNA5 and their contribution to nicotine dependence in European and African Americans.}, journal = {Mol Psychiatry}, volume = {21}, year = {2016}, month = {2016 May}, pages = {601-7}, abstract = {

The common nonsynonymous variant rs16969968 in the α5 nicotinic receptor subunit gene (CHRNA5) is the strongest genetic risk factor for nicotine dependence in European Americans and contributes to risk in African Americans. To comprehensively examine whether other CHRNA5 coding variation influences nicotine dependence risk, we performed targeted sequencing on 1582 nicotine-dependent cases (Fagerstr{\"o}m Test for Nicotine Dependence score⩾4) and 1238 non-dependent controls, with independent replication of common and low frequency variants using 12 studies with exome chip data. Nicotine dependence was examined using logistic regression with individual common variants (minor allele frequency (MAF)⩾0.05), aggregate low frequency variants (0.05>MAF⩾0.005) and aggregate rare variants (MAF<0.005). Meta-analysis of primary results was performed with replication studies containing 12 174 heavy and 11 290 light smokers. Next-generation sequencing with 180 {\texttimes} coverage identified 24 nonsynonymous variants and 2 frameshift deletions in CHRNA5, including 9 novel variants in the 2820 subjects. Meta-analysis confirmed the risk effect of the only common variant (rs16969968, European ancestry: odds ratio (OR)=1.3, P=3.5 {\texttimes} 10(-11); African ancestry: OR=1.3, P=0.01) and demonstrated that three low frequency variants contributed an independent risk (aggregate term, European ancestry: OR=1.3, P=0.005; African ancestry: OR=1.4, P=0.0006). The remaining 22 rare coding variants were associated with increased risk of nicotine dependence in the European American primary sample (OR=12.9, P=0.01) and in the same risk direction in African Americans (OR=1.5, P=0.37). Our results indicate that common, low frequency and rare CHRNA5 coding variants are independently associated with nicotine dependence risk. These newly identified variants likely influence the risk for smoking-related diseases such as lung cancer.

}, issn = {1476-5578}, doi = {10.1038/mp.2015.105}, author = {Olfson, E and Saccone, N L and Johnson, E O and Chen, L-S and Culverhouse, R and Doheny, K and Foltz, S M and Fox, L and Gogarten, S M and Hartz, S and Hetrick, K and Laurie, C C and Marosy, B and Amin, N and Arnett, D and Barr, R G and Bartz, T M and Bertelsen, S and Borecki, I B and Brown, M R and Chasman, D I and van Duijn, C M and Feitosa, M F and Fox, E R and Franceschini, N and Franco, O H and Grove, M L and Guo, X and Hofman, A and Kardia, S L R and Morrison, A C and Musani, S K and Psaty, B M and Rao, D C and Reiner, A P and Rice, K and Ridker, P M and Rose, L M and Schick, U M and Schwander, K and Uitterlinden, A G and Vojinovic, D and Wang, J-C and Ware, E B and Wilson, G and Yao, J and Zhao, W and Breslau, N and Hatsukami, D and Stitzel, J A and Rice, J and Goate, A and Bierut, L J} } @article {7352, title = {Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African ancestry anthropometry genetics consortium.}, journal = {PLoS Genet}, volume = {13}, year = {2017}, month = {2017 Apr 21}, pages = {e1006719}, abstract = {

Genome-wide association studies (GWAS) have identified >300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHRadjBMI), but few have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHRadjBMI from the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified one novel locus (TCF7L2/HABP2) for WHRadjBMI and eight previously established loci at P < 5{\texttimes}10-8: seven for BMI, and one for WHRadjBMI in African ancestry individuals. An additional novel locus (SPRYD7/DLEU2) was identified for WHRadjBMI when combined with European GWAS. In the sex-stratified analyses, we identified three novel loci for BMI (INTS10/LPL and MLC1 in men, IRX4/IRX2 in women) and four for WHRadjBMI (SSX2IP, CASC8, PDE3B and ZDHHC1/HSD11B2 in women) in individuals of African ancestry or both African and European ancestry. For four of the novel variants, the minor allele frequency was low (<5\%). In the trans-ethnic fine mapping of 47 BMI loci and 27 WHRadjBMI loci that were locus-wide significant (P < 0.05 adjusted for effective number of variants per locus) from the African ancestry sex-combined and sex-stratified analyses, 26 BMI loci and 17 WHRadjBMI loci contained <= 20 variants in the credible sets that jointly account for 99\% posterior probability of driving the associations. The lead variants in 13 of these loci had a high probability of being causal. As compared to our previous HapMap imputed GWAS for BMI and WHRadjBMI including up to 71,412 and 27,350 African ancestry individuals, respectively, our results suggest that 1000 Genomes imputation showed modest improvement in identifying GWAS loci including low frequency variants. Trans-ethnic meta-analyses further improved fine mapping of putative causal variants in loci shared between the African and European ancestry populations.

}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1006719}, author = {Ng, Maggie C Y and Graff, Mariaelisa and Lu, Yingchang and Justice, Anne E and Mudgal, Poorva and Liu, Ching-Ti and Young, Kristin and Yanek, Lisa R and Feitosa, Mary F and Wojczynski, Mary K and Rand, Kristin and Brody, Jennifer A and Cade, Brian E and Dimitrov, Latchezar and Duan, Qing and Guo, Xiuqing and Lange, Leslie A and Nalls, Michael A and Okut, Hayrettin and Tajuddin, Salman M and Tayo, Bamidele O and Vedantam, Sailaja and Bradfield, Jonathan P and Chen, Guanjie and Chen, Wei-Min and Chesi, Alessandra and Irvin, Marguerite R and Padhukasahasram, Badri and Smith, Jennifer A and Zheng, Wei and Allison, Matthew A and Ambrosone, Christine B and Bandera, Elisa V and Bartz, Traci M and Berndt, Sonja I and Bernstein, Leslie and Blot, William J and Bottinger, Erwin P and Carpten, John and Chanock, Stephen J and Chen, Yii-Der Ida and Conti, David V and Cooper, Richard S and Fornage, Myriam and Freedman, Barry I and Garcia, Melissa and Goodman, Phyllis J and Hsu, Yu-Han H and Hu, Jennifer and Huff, Chad D and Ingles, Sue A and John, Esther M and Kittles, Rick and Klein, Eric and Li, Jin and McKnight, Barbara and Nayak, Uma and Nemesure, Barbara and Ogunniyi, Adesola and Olshan, Andrew and Press, Michael F and Rohde, Rebecca and Rybicki, Benjamin A and Salako, Babatunde and Sanderson, Maureen and Shao, Yaming and Siscovick, David S and Stanford, Janet L and Stevens, Victoria L and Stram, Alex and Strom, Sara S and Vaidya, Dhananjay and Witte, John S and Yao, Jie and Zhu, Xiaofeng and Ziegler, Regina G and Zonderman, Alan B and Adeyemo, Adebowale and Ambs, Stefan and Cushman, Mary and Faul, Jessica D and Hakonarson, Hakon and Levin, Albert M and Nathanson, Katherine L and Ware, Erin B and Weir, David R and Zhao, Wei and Zhi, Degui and Arnett, Donna K and Grant, Struan F A and Kardia, Sharon L R and Oloapde, Olufunmilayo I and Rao, D C and Rotimi, Charles N and Sale, Mich{\`e}le M and Williams, L Keoki and Zemel, Babette S and Becker, Diane M and Borecki, Ingrid B and Evans, Michele K and Harris, Tamara B and Hirschhorn, Joel N and Li, Yun and Patel, Sanjay R and Psaty, Bruce M and Rotter, Jerome I and Wilson, James G and Bowden, Donald W and Cupples, L Adrienne and Haiman, Christopher A and Loos, Ruth J F and North, Kari E} } @article {7450, title = {Multiancestry Study of Gene-Lifestyle Interactions for Cardiovascular Traits in 610 475 Individuals From 124 Cohorts: Design and Rationale.}, journal = {Circ Cardiovasc Genet}, volume = {10}, year = {2017}, month = {2017 Jun}, abstract = {

BACKGROUND: Several consortia have pursued genome-wide association studies for identifying novel genetic loci for blood pressure, lipids, hypertension, etc. They demonstrated the power of collaborative research through meta-analysis of study-specific results.

METHODS AND RESULTS: The Gene-Lifestyle Interactions Working Group was formed to facilitate the first large, concerted, multiancestry study to systematically evaluate gene-lifestyle interactions. In stage 1, genome-wide interaction analysis is performed in 53 cohorts with a total of 149 684 individuals from multiple ancestries. In stage 2 involving an additional 71 cohorts with 460 791 individuals from multiple ancestries, focused analysis is performed for a subset of the most promising variants from stage 1. In all, the study involves up to 610 475 individuals. Current focus is on cardiovascular traits including blood pressure and lipids, and lifestyle factors including smoking, alcohol, education (as a surrogate for socioeconomic status), physical activity, psychosocial variables, and sleep. The total sample sizes vary among projects because of missing data. Large-scale gene-lifestyle or more generally gene-environment interaction (G{\texttimes}E) meta-analysis studies can be cumbersome and challenging. This article describes the design and some of the approaches pursued in the interaction projects.

CONCLUSIONS: The Gene-Lifestyle Interactions Working Group provides an excellent framework for understanding the lifestyle context of genetic effects and to identify novel trait loci through analysis of interactions. An important and novel feature of our study is that the gene-lifestyle interaction (G{\texttimes}E) results may improve our knowledge about the underlying mechanisms for novel and already known trait loci.

}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.116.001649}, author = {Rao, D C and Sung, Yun J and Winkler, Thomas W and Schwander, Karen and Borecki, Ingrid and Cupples, L Adrienne and Gauderman, W James and Rice, Kenneth and Munroe, Patricia B and Psaty, Bruce M} } @article {7572, title = {Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations.}, journal = {PLoS Genet}, volume = {13}, year = {2017}, month = {2017 May}, pages = {e1006728}, abstract = {

Hypertension is a leading cause of global disease, mortality, and disability. While individuals of African descent suffer a disproportionate burden of hypertension and its complications, they have been underrepresented in genetic studies. To identify novel susceptibility loci for blood pressure and hypertension in people of African ancestry, we performed both single and multiple-trait genome-wide association analyses. We analyzed 21 genome-wide association studies comprised of 31,968 individuals of African ancestry, and validated our results with additional 54,395 individuals from multi-ethnic studies. These analyses identified nine loci with eleven independent variants which reached genome-wide significance (P < 1.25{\texttimes}10-8) for either systolic and diastolic blood pressure, hypertension, or for combined traits. Single-trait analyses identified two loci (TARID/TCF21 and LLPH/TMBIM4) and multiple-trait analyses identified one novel locus (FRMD3) for blood pressure. At these three loci, as well as at GRP20/CDH17, associated variants had alleles common only in African-ancestry populations. Functional annotation showed enrichment for genes expressed in immune and kidney cells, as well as in heart and vascular cells/tissues. Experiments driven by these findings and using angiotensin-II induced hypertension in mice showed altered kidney mRNA expression of six genes, suggesting their potential role in hypertension. Our study provides new evidence for genes related to hypertension susceptibility, and the need to study African-ancestry populations in order to identify biologic factors contributing to hypertension.

}, keywords = {African Americans, Animals, Basic Helix-Loop-Helix Transcription Factors, Blood Pressure, Cadherins, Case-Control Studies, Female, Genetic Loci, Genome-Wide Association Study, Humans, Hypertension, Male, Membrane Proteins, Mice, Multifactorial Inheritance, Polymorphism, Single Nucleotide}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1006728}, author = {Liang, Jingjing and Le, Thu H and Edwards, Digna R Velez and Tayo, Bamidele O and Gaulton, Kyle J and Smith, Jennifer A and Lu, Yingchang and Jensen, Richard A and Chen, Guanjie and Yanek, Lisa R and Schwander, Karen and Tajuddin, Salman M and Sofer, Tamar and Kim, Wonji and Kayima, James and McKenzie, Colin A and Fox, Ervin and Nalls, Michael A and Young, J Hunter and Sun, Yan V and Lane, Jacqueline M and Cechova, Sylvia and Zhou, Jie and Tang, Hua and Fornage, Myriam and Musani, Solomon K and Wang, Heming and Lee, Juyoung and Adeyemo, Adebowale and Dreisbach, Albert W and Forrester, Terrence and Chu, Pei-Lun and Cappola, Anne and Evans, Michele K and Morrison, Alanna C and Martin, Lisa W and Wiggins, Kerri L and Hui, Qin and Zhao, Wei and Jackson, Rebecca D and Ware, Erin B and Faul, Jessica D and Reiner, Alex P and Bray, Michael and Denny, Joshua C and Mosley, Thomas H and Palmas, Walter and Guo, Xiuqing and Papanicolaou, George J and Penman, Alan D and Polak, Joseph F and Rice, Kenneth and Taylor, Ken D and Boerwinkle, Eric and Bottinger, Erwin P and Liu, Kiang and Risch, Neil and Hunt, Steven C and Kooperberg, Charles and Zonderman, Alan B and Laurie, Cathy C and Becker, Diane M and Cai, Jianwen and Loos, Ruth J F and Psaty, Bruce M and Weir, David R and Kardia, Sharon L R and Arnett, Donna K and Won, Sungho and Edwards, Todd L and Redline, Susan and Cooper, Richard S and Rao, D C and Rotter, Jerome I and Rotimi, Charles and Levy, Daniel and Chakravarti, Aravinda and Zhu, Xiaofeng and Franceschini, Nora} } @article {8260, title = {Genome-wide meta-analysis of variant-by-diuretic interactions as modulators of lipid traits in persons of European and African ancestry.}, journal = {Pharmacogenomics J}, year = {2019}, month = {2019 Dec 06}, abstract = {

Hypertension (HTN) is a significant risk factor for cardiovascular morbidity and mortality. Metabolic abnormalities, including adverse cholesterol and triglycerides (TG) profiles, are frequent comorbid findings with HTN and contribute to cardiovascular disease. Diuretics, which are used to treat HTN and heart failure, have been associated with worsening of fasting lipid concentrations. Genome-wide meta-analyses with 39,710 European-ancestry (EA) individuals and 9925 African-ancestry (AA) individuals were performed to identify genetic variants that modify the effect of loop or thiazide diuretic use on blood lipid concentrations. Both longitudinal and cross sectional data were used to compute cohort-specific interaction results, which were then combined through meta-analysis in each ancestry. These ancestry-specific results were further combined through trans-ancestry meta-analysis. Analysis of EA data identified two genome-wide significant (p < 5 {\texttimes} 10) loci with single nucleotide variant (SNV)-loop diuretic interaction on TG concentrations (including COL11A1). Analysis of AA data identified one genome-wide significant locus adjacent to BMP2 with SNV-loop diuretic interaction on TG concentrations. Trans-ancestry analysis strengthened evidence of association for SNV-loop diuretic interaction at two loci (KIAA1217 and BAALC). There were few significant SNV-thiazide diuretic interaction associations on TG concentrations and for either diuretic on cholesterol concentrations. Several promising loci were identified that may implicate biologic pathways that contribute to adverse metabolic side effects from diuretic therapy.

}, issn = {1473-1150}, doi = {10.1038/s41397-019-0132-y}, author = {de Las Fuentes, L and Sung, Y J and Sitlani, C M and Avery, C L and Bartz, T M and Keyser, C de and Evans, D S and Li, X and Musani, S K and Ruiter, R and Smith, A V and Sun, F and Trompet, S and Xu, H and Arnett, D K and Bis, J C and Broeckel, U and Busch, E L and Chen, Y-D I and Correa, A and Cummings, S R and Floyd, J S and Ford, I and Guo, X and Harris, T B and Ikram, M A and Lange, L and Launer, L J and Reiner, A P and Schwander, K and Smith, N L and Sotoodehnia, N and Stewart, J D and Stott, D J and St{\"u}rmer, T and Taylor, K D and Uitterlinden, A and Vasan, R S and Wiggins, K L and Cupples, L A and Gudnason, V and Heckbert, S R and Jukema, J W and Liu, Y and Psaty, B M and Rao, D C and Rotter, J I and Stricker, B and Wilson, J G and Whitsel, E A} } @article {8711, title = {Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices.}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {2021 04 12}, pages = {2182}, abstract = {

Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 {\texttimes} 10), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 cases and 591,247 controls (P = 1.7 {\texttimes} 10), and reduced odds for diabetes mellitus type 2 among 54,095 cases and 573,885 controls (P = 1.4 {\texttimes} 10). Although we observe an association with increased BMI, waist-to-hip ratio adjusted for BMI is reduced, bioimpedance analyses indicate increased gluteofemoral fat, and abdominal MRI analyses indicate reduced visceral adiposity. Co-localization analyses strongly correlate increased CHRDL1 gene expression, particularly in adipose tissue, with reduced concentrations of blood lipids.

}, issn = {2041-1723}, doi = {10.1038/s41467-021-22339-1}, author = {Natarajan, Pradeep and Pampana, Akhil and Graham, Sarah E and Ruotsalainen, Sanni E and Perry, James A and de Vries, Paul S and Broome, Jai G and Pirruccello, James P and Honigberg, Michael C and Aragam, Krishna and Wolford, Brooke and Brody, Jennifer A and Antonacci-Fulton, Lucinda and Arden, Moscati and Aslibekyan, Stella and Assimes, Themistocles L and Ballantyne, Christie M and Bielak, Lawrence F and Bis, Joshua C and Cade, Brian E and Do, Ron and Doddapaneni, Harsha and Emery, Leslie S and Hung, Yi-Jen and Irvin, Marguerite R and Khan, Alyna T and Lange, Leslie and Lee, Jiwon and Lemaitre, Rozenn N and Martin, Lisa W and Metcalf, Ginger and Montasser, May E and Moon, Jee-Young and Muzny, Donna and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Peralta, Juan M and Peyser, Patricia A and Stilp, Adrienne M and Tsai, Michael and Wang, Fei Fei and Weeks, Daniel E and Yanek, Lisa R and Wilson, James G and Abecasis, Goncalo and Arnett, Donna K and Becker, Lewis C and Blangero, John and Boerwinkle, Eric and Bowden, Donald W and Chang, Yi-Cheng and Chen, Yii-der I and Choi, Won Jung and Correa, Adolfo and Curran, Joanne E and Daly, Mark J and Dutcher, Susan K and Ellinor, Patrick T and Fornage, Myriam and Freedman, Barry I and Gabriel, Stacey and Germer, Soren and Gibbs, Richard A and He, Jiang and Hveem, Kristian and Jarvik, Gail P and Kaplan, Robert C and Kardia, Sharon L R and Kenny, Eimear and Kim, Ryan W and Kooperberg, Charles and Laurie, Cathy C and Lee, Seonwook and Lloyd-Jones, Don M and Loos, Ruth J F and Lubitz, Steven A and Mathias, Rasika A and Martinez, Karine A Viaud and McGarvey, Stephen T and Mitchell, Braxton D and Nickerson, Deborah A and North, Kari E and Palotie, Aarno and Park, Cheol Joo and Psaty, Bruce M and Rao, D C and Redline, Susan and Reiner, Alexander P and Seo, Daekwan and Seo, Jeong-Sun and Smith, Albert V and Tracy, Russell P and Vasan, Ramachandran S and Kathiresan, Sekar and Cupples, L Adrienne and Rotter, Jerome I and Morrison, Alanna C and Rich, Stephen S and Ripatti, Samuli and Willer, Cristen and Peloso, Gina M} } @article {8705, title = {Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry.}, journal = {Am J Hum Genet}, volume = {108}, year = {2021}, month = {2021 Apr 01}, pages = {564-582}, abstract = {

Although many loci have been associated with height in European ancestry populations, very few have been identified in African ancestry individuals. Furthermore, many of the known loci have yet to be generalized to and fine-mapped within a large-scale African ancestry sample. We performed sex-combined and sex-stratified meta-analyses in up to 52,764 individuals with height and genome-wide genotyping data from the African Ancestry Anthropometry Genetics Consortium (AAAGC). We additionally combined our African ancestry meta-analysis results with published European genome-wide association study (GWAS) data. In the African ancestry analyses, we identified three novel loci (SLC4A3, NCOA2, ECD/FAM149B1) in sex-combined results and two loci (CRB1, KLF6) in women only. In the African plus European sex-combined GWAS, we identified an additional three novel loci (RCCD1, G6PC3, CEP95) which were equally driven by AAAGC and European results. Among 39 genome-wide significant signals at known loci, conditioning index SNPs from European studies identified 20 secondary signals. Two of the 20 new secondary signals and none of the 8 novel loci had minor allele frequencies (MAF) < 5\%. Of 802 known European height signals, 643 displayed directionally consistent associations with height, of which 205 were nominally significant (p < 0.05) in the African ancestry sex-combined sample. Furthermore, 148 of 241 loci contained <=20 variants in the credible sets that jointly account for 99\% of the posterior probability of driving the associations. In summary, trans-ethnic meta-analyses revealed novel signals and further improved fine-mapping of putative causal variants in loci shared between African and European ancestry populations.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2021.02.011}, author = {Graff, Mariaelisa and Justice, Anne E and Young, Kristin L and Marouli, Eirini and Zhang, Xinruo and Fine, Rebecca S and Lim, Elise and Buchanan, Victoria and Rand, Kristin and Feitosa, Mary F and Wojczynski, Mary K and Yanek, Lisa R and Shao, Yaming and Rohde, Rebecca and Adeyemo, Adebowale A and Aldrich, Melinda C and Allison, Matthew A and Ambrosone, Christine B and Ambs, Stefan and Amos, Christopher and Arnett, Donna K and Atwood, Larry and Bandera, Elisa V and Bartz, Traci and Becker, Diane M and Berndt, Sonja I and Bernstein, Leslie and Bielak, Lawrence F and Blot, William J and Bottinger, Erwin P and Bowden, Donald W and Bradfield, Jonathan P and Brody, Jennifer A and Broeckel, Ulrich and Burke, Gregory and Cade, Brian E and Cai, Qiuyin and Caporaso, Neil and Carlson, Chris and Carpten, John and Casey, Graham and Chanock, Stephen J and Chen, Guanjie and Chen, Minhui and Chen, Yii-der I and Chen, Wei-Min and Chesi, Alessandra and Chiang, Charleston W K and Chu, Lisa and Coetzee, Gerry A and Conti, David V and Cooper, Richard S and Cushman, Mary and Demerath, Ellen and Deming, Sandra L and Dimitrov, Latchezar and Ding, Jingzhong and Diver, W Ryan and Duan, Qing and Evans, Michele K and Falusi, Adeyinka G and Faul, Jessica D and Fornage, Myriam and Fox, Caroline and Freedman, Barry I and Garcia, Melissa and Gillanders, Elizabeth M and Goodman, Phyllis and Gottesman, Omri and Grant, Struan F A and Guo, Xiuqing and Hakonarson, Hakon and Haritunians, Talin and Harris, Tamara B and Harris, Curtis C and Henderson, Brian E and Hennis, Anselm and Hernandez, Dena G and Hirschhorn, Joel N and McNeill, Lorna Haughton and Howard, Timothy D and Howard, Barbara and Hsing, Ann W and Hsu, Yu-Han H and Hu, Jennifer J and Huff, Chad D and Huo, Dezheng and Ingles, Sue A and Irvin, Marguerite R and John, Esther M and Johnson, Karen C and Jordan, Joanne M and Kabagambe, Edmond K and Kang, Sun J and Kardia, Sharon L and Keating, Brendan J and Kittles, Rick A and Klein, Eric A and Kolb, Suzanne and Kolonel, Laurence N and Kooperberg, Charles and Kuller, Lewis and Kutlar, Abdullah and Lange, Leslie and Langefeld, Carl D and Le Marchand, Lo{\"\i}c and Leonard, Hampton and Lettre, Guillaume and Levin, Albert M and Li, Yun and Li, Jin and Liu, Yongmei and Liu, Youfang and Liu, Simin and Lohman, Kurt and Lotay, Vaneet and Lu, Yingchang and Maixner, William and Manson, JoAnn E and McKnight, Barbara and Meng, Yan and Monda, Keri L and Monroe, Kris and Moore, Jason H and Mosley, Thomas H and Mudgal, Poorva and Murphy, Adam B and Nadukuru, Rajiv and Nalls, Mike A and Nathanson, Katherine L and Nayak, Uma and N{\textquoteright}diaye, Amidou and Nemesure, Barbara and Neslund-Dudas, Christine and Neuhouser, Marian L and Nyante, Sarah and Ochs-Balcom, Heather and Ogundiran, Temidayo O and Ogunniyi, Adesola and Ojengbede, Oladosu and Okut, Hayrettin and Olopade, Olufunmilayo I and Olshan, Andrew and Padhukasahasram, Badri and Palmer, Julie and Palmer, Cameron D and Palmer, Nicholette D and Papanicolaou, George and Patel, Sanjay R and Pettaway, Curtis A and Peyser, Patricia A and Press, Michael F and Rao, D C and Rasmussen-Torvik, Laura J and Redline, Susan and Reiner, Alex P and Rhie, Suhn K and Rodriguez-Gil, Jorge L and Rotimi, Charles N and Rotter, Jerome I and Ruiz-Narvaez, Edward A and Rybicki, Benjamin A and Salako, Babatunde and Sale, Mich{\`e}le M and Sanderson, Maureen and Schadt, Eric and Schreiner, Pamela J and Schurmann, Claudia and Schwartz, Ann G and Shriner, Daniel A and Signorello, Lisa B and Singleton, Andrew B and Siscovick, David S and Smith, Jennifer A and Smith, Shad and Speliotes, Elizabeth and Spitz, Margaret and Stanford, Janet L and Stevens, Victoria L and Stram, Alex and Strom, Sara S and Sucheston, Lara and Sun, Yan V and Tajuddin, Salman M and Taylor, Herman and Taylor, Kira and Tayo, Bamidele O and Thun, Michael J and Tucker, Margaret A and Vaidya, Dhananjay and Van Den Berg, David J and Vedantam, Sailaja and Vitolins, Mara and Wang, Zhaoming and Ware, Erin B and Wassertheil-Smoller, Sylvia and Weir, David R and Wiencke, John K and Williams, Scott M and Williams, L Keoki and Wilson, James G and Witte, John S and Wrensch, Margaret and Wu, Xifeng and Yao, Jie and Zakai, Neil and Zanetti, Krista and Zemel, Babette S and Zhao, Wei and Zhao, Jing Hua and Zheng, Wei and Zhi, Degui and Zhou, Jie and Zhu, Xiaofeng and Ziegler, Regina G and Zmuda, Joe and Zonderman, Alan B and Psaty, Bruce M and Borecki, Ingrid B and Cupples, L Adrienne and Liu, Ching-Ti and Haiman, Christopher A and Loos, Ruth and Ng, Maggie C Y and North, Kari E} } @article {8666, title = {Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.}, journal = {Nature}, volume = {590}, year = {2021}, month = {2021 02}, pages = {290-299}, abstract = {

The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes). In the first 53,831 TOPMed samples, we detected more than 400~million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400~million detected variants, 97\% have frequencies of less than 1\% and 46\% are singletons that are present in only one individual (53\% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01\%.

}, issn = {1476-4687}, doi = {10.1038/s41586-021-03205-y}, author = {Taliun, Daniel and Harris, Daniel N and Kessler, Michael D and Carlson, Jedidiah and Szpiech, Zachary A and Torres, Raul and Taliun, Sarah A Gagliano and Corvelo, Andr{\'e} and Gogarten, Stephanie M and Kang, Hyun Min and Pitsillides, Achilleas N and LeFaive, Jonathon and Lee, Seung-Been and Tian, Xiaowen and Browning, Brian L and Das, Sayantan and Emde, Anne-Katrin and Clarke, Wayne E and Loesch, Douglas P and Shetty, Amol C and Blackwell, Thomas W and Smith, Albert V and Wong, Quenna and Liu, Xiaoming and Conomos, Matthew P and Bobo, Dean M and Aguet, Francois and Albert, Christine and Alonso, Alvaro and Ardlie, Kristin G and Arking, Dan E and Aslibekyan, Stella and Auer, Paul L and Barnard, John and Barr, R Graham and Barwick, Lucas and Becker, Lewis C and Beer, Rebecca L and Benjamin, Emelia J and Bielak, Lawrence F and Blangero, John and Boehnke, Michael and Bowden, Donald W and Brody, Jennifer A and Burchard, Esteban G and Cade, Brian E and Casella, James F and Chalazan, Brandon and Chasman, Daniel I and Chen, Yii-Der Ida and Cho, Michael H and Choi, Seung Hoan and Chung, Mina K and Clish, Clary B and Correa, Adolfo and Curran, Joanne E and Custer, Brian and Darbar, Dawood and Daya, Michelle and de Andrade, Mariza and DeMeo, Dawn L and Dutcher, Susan K and Ellinor, Patrick T and Emery, Leslie S and Eng, Celeste and Fatkin, Diane and Fingerlin, Tasha and Forer, Lukas and Fornage, Myriam and Franceschini, Nora and Fuchsberger, Christian and Fullerton, Stephanie M and Germer, Soren and Gladwin, Mark T and Gottlieb, Daniel J and Guo, Xiuqing and Hall, Michael E and He, Jiang and Heard-Costa, Nancy L and Heckbert, Susan R and Irvin, Marguerite R and Johnsen, Jill M and Johnson, Andrew D and Kaplan, Robert and Kardia, Sharon L R and Kelly, Tanika and Kelly, Shannon and Kenny, Eimear E and Kiel, Douglas P and Klemmer, Robert and Konkle, Barbara A and Kooperberg, Charles and K{\"o}ttgen, Anna and Lange, Leslie A and Lasky-Su, Jessica and Levy, Daniel and Lin, Xihong and Lin, Keng-Han and Liu, Chunyu and Loos, Ruth J F and Garman, Lori and Gerszten, Robert and Lubitz, Steven A and Lunetta, Kathryn L and Mak, Angel C Y and Manichaikul, Ani and Manning, Alisa K and Mathias, Rasika A and McManus, David D and McGarvey, Stephen T and Meigs, James B and Meyers, Deborah A and Mikulla, Julie L and Minear, Mollie A and Mitchell, Braxton D and Mohanty, Sanghamitra and Montasser, May E and Montgomery, Courtney and Morrison, Alanna C and Murabito, Joanne M and Natale, Andrea and Natarajan, Pradeep and Nelson, Sarah C and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Pankratz, Nathan and Peloso, Gina M and Peyser, Patricia A and Pleiness, Jacob and Post, Wendy S and Psaty, Bruce M and Rao, D C and Redline, Susan and Reiner, Alexander P and Roden, Dan and Rotter, Jerome I and Ruczinski, Ingo and Sarnowski, Chloe and Schoenherr, Sebastian and Schwartz, David A and Seo, Jeong-Sun and Seshadri, Sudha and Sheehan, Vivien A and Sheu, Wayne H and Shoemaker, M Benjamin and Smith, Nicholas L and Smith, Jennifer A and Sotoodehnia, Nona and Stilp, Adrienne M and Tang, Weihong and Taylor, Kent D and Telen, Marilyn and Thornton, Timothy A and Tracy, Russell P and Van Den Berg, David J and Vasan, Ramachandran S and Viaud-Martinez, Karine A and Vrieze, Scott and Weeks, Daniel E and Weir, Bruce S and Weiss, Scott T and Weng, Lu-Chen and Willer, Cristen J and Zhang, Yingze and Zhao, Xutong and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Boerwinkle, Eric and Gabriel, Stacey and Gibbs, Richard and Rice, Kenneth M and Rich, Stephen S and Silverman, Edwin K and Qasba, Pankaj and Gan, Weiniu and Papanicolaou, George J and Nickerson, Deborah A and Browning, Sharon R and Zody, Michael C and Z{\"o}llner, Sebastian and Wilson, James G and Cupples, L Adrienne and Laurie, Cathy C and Jaquish, Cashell E and Hernandez, Ryan D and O{\textquoteright}Connor, Timothy D and Abecasis, Goncalo R} } @article {8975, title = {Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes.}, journal = {Am J Hum Genet}, volume = {109}, year = {2022}, month = {2022 01 06}, pages = {81-96}, abstract = {

Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency < 1\%) predicted damaging coding variation by using sequence data from >170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, SH2B3, and PLIN1) had no prior association of rare coding variants with lipid levels. Most of our associated genes showed evidence of association among multiple ancestries. Finally, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes and for genes closest to GWAS index single-nucleotide polymorphisms (SNPs). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels.

}, keywords = {Alleles, Blood Glucose, Case-Control Studies, Computational Biology, Databases, Genetic, Diabetes Mellitus, Type 2, Exome, Genetic Predisposition to Disease, Genetic Variation, Genetics, Population, Genome-Wide Association Study, Humans, Lipid Metabolism, Lipids, Liver, Molecular Sequence Annotation, Multifactorial Inheritance, Open Reading Frames, Phenotype, Polymorphism, Single Nucleotide}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2021.11.021}, author = {Hindy, George and Dornbos, Peter and Chaffin, Mark D and Liu, Dajiang J and Wang, Minxian and Selvaraj, Margaret Sunitha and Zhang, David and Park, Joseph and Aguilar-Salinas, Carlos A and Antonacci-Fulton, Lucinda and Ardissino, Diego and Arnett, Donna K and Aslibekyan, Stella and Atzmon, Gil and Ballantyne, Christie M and Barajas-Olmos, Francisco and Barzilai, Nir and Becker, Lewis C and Bielak, Lawrence F and Bis, Joshua C and Blangero, John and Boerwinkle, Eric and Bonnycastle, Lori L and Bottinger, Erwin and Bowden, Donald W and Bown, Matthew J and Brody, Jennifer A and Broome, Jai G and Burtt, Noel P and Cade, Brian E and Centeno-Cruz, Federico and Chan, Edmund and Chang, Yi-Cheng and Chen, Yii-der I and Cheng, Ching-Yu and Choi, Won Jung and Chowdhury, Rajiv and Contreras-Cubas, Cecilia and C{\'o}rdova, Emilio J and Correa, Adolfo and Cupples, L Adrienne and Curran, Joanne E and Danesh, John and de Vries, Paul S and DeFronzo, Ralph A and Doddapaneni, Harsha and Duggirala, Ravindranath and Dutcher, Susan K and Ellinor, Patrick T and Emery, Leslie S and Florez, Jose C and Fornage, Myriam and Freedman, Barry I and Fuster, Valentin and Garay-Sevilla, Ma Eugenia and Garc{\'\i}a-Ortiz, Humberto and Germer, Soren and Gibbs, Richard A and Gieger, Christian and Glaser, Benjamin and Gonzalez, Clicerio and Gonzalez-Villalpando, Maria Elena and Graff, Mariaelisa and Graham, Sarah E and Grarup, Niels and Groop, Leif C and Guo, Xiuqing and Gupta, Namrata and Han, Sohee and Hanis, Craig L and Hansen, Torben and He, Jiang and Heard-Costa, Nancy L and Hung, Yi-Jen and Hwang, Mi Yeong and Irvin, Marguerite R and Islas-Andrade, Sergio and Jarvik, Gail P and Kang, Hyun Min and Kardia, Sharon L R and Kelly, Tanika and Kenny, Eimear E and Khan, Alyna T and Kim, Bong-Jo and Kim, Ryan W and Kim, Young Jin and Koistinen, Heikki A and Kooperberg, Charles and Kuusisto, Johanna and Kwak, Soo Heon and Laakso, Markku and Lange, Leslie A and Lee, Jiwon and Lee, Juyoung and Lee, Seonwook and Lehman, Donna M and Lemaitre, Rozenn N and Linneberg, Allan and Liu, Jianjun and Loos, Ruth J F and Lubitz, Steven A and Lyssenko, Valeriya and Ma, Ronald C W and Martin, Lisa Warsinger and Mart{\'\i}nez-Hern{\'a}ndez, Ang{\'e}lica and Mathias, Rasika A and McGarvey, Stephen T and McPherson, Ruth and Meigs, James B and Meitinger, Thomas and Melander, Olle and Mendoza-Caamal, Elvia and Metcalf, Ginger A and Mi, Xuenan and Mohlke, Karen L and Montasser, May E and Moon, Jee-Young and Moreno-Macias, Hortensia and Morrison, Alanna C and Muzny, Donna M and Nelson, Sarah C and Nilsson, Peter M and O{\textquoteright}Connell, Jeffrey R and Orho-Melander, Marju and Orozco, Lorena and Palmer, Colin N A and Palmer, Nicholette D and Park, Cheol Joo and Park, Kyong Soo and Pedersen, Oluf and Peralta, Juan M and Peyser, Patricia A and Post, Wendy S and Preuss, Michael and Psaty, Bruce M and Qi, Qibin and Rao, D C and Redline, Susan and Reiner, Alexander P and Revilla-Monsalve, Cristina and Rich, Stephen S and Samani, Nilesh and Schunkert, Heribert and Schurmann, Claudia and Seo, Daekwan and Seo, Jeong-Sun and Sim, Xueling and Sladek, Rob and Small, Kerrin S and So, Wing Yee and Stilp, Adrienne M and Tai, E Shyong and Tam, Claudia H T and Taylor, Kent D and Teo, Yik Ying and Thameem, Farook and Tomlinson, Brian and Tsai, Michael Y and Tuomi, Tiinamaija and Tuomilehto, Jaakko and Tusi{\'e}-Luna, Teresa and Udler, Miriam S and van Dam, Rob M and Vasan, Ramachandran S and Viaud Martinez, Karine A and Wang, Fei Fei and Wang, Xuzhi and Watkins, Hugh and Weeks, Daniel E and Wilson, James G and Witte, Daniel R and Wong, Tien-Yin and Yanek, Lisa R and Kathiresan, Sekar and Rader, Daniel J and Rotter, Jerome I and Boehnke, Michael and McCarthy, Mark I and Willer, Cristen J and Natarajan, Pradeep and Flannick, Jason A and Khera, Amit V and Peloso, Gina M} } @article {9583, title = {Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure.}, journal = {medRxiv}, year = {2023}, month = {2023 Nov 11}, abstract = {

OBJECTIVE: We examined interactions between genotype and a Dietary Approaches to Stop Hypertension (DASH) diet score in relation to systolic blood pressure (SBP).

METHODS: We analyzed up to 9,420,585 biallelic imputed single nucleotide polymorphisms (SNPs) in up to 127,282 individuals of six population groups (91\% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (CHARGE; n=35,660) and UK Biobank (n=91,622) and performed European population-specific and cross-population meta-analyses.

RESULTS: We identified three loci in European-specific analyses and an additional four loci in cross-population analyses at P for interaction < 5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency = 0.03) and the DASH diet score (P for interaction = 4e-8; P for heterogeneity = 0.35) in European population, where the interaction effect size was 0.42{\textpm}0.09 mm Hg (P for interaction = 9.4e-7) and 0.20{\textpm}0.06 mm Hg (P for interaction = 0.001) in CHARGE and the UK Biobank, respectively. The 1 Mb region surrounding rs117878928 was enriched with -expression quantitative trait loci (eQTL) variants (P = 4e-273) and -DNA methylation quantitative trait loci (mQTL) variants (P = 1e-300). While the closest gene for rs117878928 is , the highest narrow sense heritability accounted by SNPs potentially interacting with the DASH diet score in this locus was for gene at 15q25.1.

CONCLUSION: We demonstrated gene-DASH diet score interaction effects on SBP in several loci. Studies with larger diverse populations are needed to validate our findings.

}, doi = {10.1101/2023.11.10.23298402}, author = {Guirette, Melanie and Lan, Jessie and McKeown, Nicola and Brown, Michael R and Chen, Han and de Vries, Paul S and Kim, Hyunju and Rebholz, Casey M and Morrison, Alanna C and Bartz, Traci M and Fretts, Amanda M and Guo, Xiuqing and Lemaitre, Rozenn N and Liu, Ching-Ti and Noordam, Raymond and de Mutsert, Ren{\'e}e and Rosendaal, Frits R and Wang, Carol A and Beilin, Lawrence and Mori, Trevor A and Oddy, Wendy H and Pennell, Craig E and Chai, Jin Fang and Whitton, Clare and van Dam, Rob M and Liu, Jianjun and Tai, E Shyong and Sim, Xueling and Neuhouser, Marian L and Kooperberg, Charles and Tinker, Lesley and Franceschini, Nora and Huan, Tianxiao and Winkler, Thomas W and Bentley, Amy R and Gauderman, W James and Heerkens, Luc and Tanaka, Toshiko and van Rooij, Jeroen and Munroe, Patricia B and Warren, Helen R and Voortman, Trudy and Chen, Honglei and Rao, D C and Levy, Daniel and Ma, Jiantao} } @article {9484, title = {WHOLE GENOME SEQUENCING ANALYSIS OF BODY MASS INDEX IDENTIFIES NOVEL AFRICAN ANCESTRY-SPECIFIC RISK ALLELE.}, journal = {medRxiv}, year = {2023}, month = {2023 Aug 22}, abstract = {

Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51\% were of non-European population groups. We discovered 18 BMI-associated signals ( < 5 {\texttimes} 10 ). Notably, we identified and replicated a novel low frequency single nucleotide polymorphism (SNP) in that was common in individuals of African descent. Using a diverse study population, we further identified two novel secondary signals in known BMI loci and pinpointed two likely causal variants in the and loci. Our work demonstrates the benefits of combining WGS and diverse cohorts in expanding current catalog of variants and genes confer risk for obesity, bringing us one step closer to personalized medicine.

}, doi = {10.1101/2023.08.21.23293271}, author = {Zhang, Xinruo and Brody, Jennifer A and Graff, Mariaelisa and Highland, Heather M and Chami, Nathalie and Xu, Hanfei and Wang, Zhe and Ferrier, Kendra and Chittoor, Geetha and Josyula, Navya S and Li, Xihao and Li, Zilin and Allison, Matthew A and Becker, Diane M and Bielak, Lawrence F and Bis, Joshua C and Boorgula, Meher Preethi and Bowden, Donald W and Broome, Jai G and Buth, Erin J and Carlson, Christopher S and Chang, Kyong-Mi and Chavan, Sameer and Chiu, Yen-Feng and Chuang, Lee-Ming and Conomos, Matthew P and DeMeo, Dawn L and Du, Margaret and Duggirala, Ravindranath and Eng, Celeste and Fohner, Alison E and Freedman, Barry I and Garrett, Melanie E and Guo, Xiuqing and Haiman, Chris and Heavner, Benjamin D and Hidalgo, Bertha and Hixson, James E and Ho, Yuk-Lam and Hobbs, Brian D and Hu, Donglei and Hui, Qin and Hwu, Chii-Min and Jackson, Rebecca D and Jain, Deepti and Kalyani, Rita R and Kardia, Sharon L R and Kelly, Tanika N and Lange, Ethan M and LeNoir, Michael and Li, Changwei and Marchand, Loic Le and McDonald, Merry-Lynn N and McHugh, Caitlin P and Morrison, Alanna C and Naseri, Take and O{\textquoteright}Connell, Jeffrey and O{\textquoteright}Donnell, Christopher J and Palmer, Nicholette D and Pankow, James S and Perry, James A and Peters, Ulrike and Preuss, Michael H and Rao, D C and Regan, Elizabeth A and Reupena, Sefuiva M and Roden, Dan M and Rodriguez-Santana, Jose and Sitlani, Colleen M and Smith, Jennifer A and Tiwari, Hemant K and Vasan, Ramachandran S and Wang, Zeyuan and Weeks, Daniel E and Wessel, Jennifer and Wiggins, Kerri L and Wilkens, Lynne R and Wilson, Peter W F and Yanek, Lisa R and Yoneda, Zachary T and Zhao, Wei and Z{\"o}llner, Sebastian and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Blangero, John and Boerwinkle, Eric and Burchard, Esteban G and Carson, April P and Chasman, Daniel I and Chen, Yii-Der Ida and Curran, Joanne E and Fornage, Myriam and Gordeuk, Victor R and He, Jiang and Heckbert, Susan R and Hou, Lifang and Irvin, Marguerite R and Kooperberg, Charles and Minster, Ryan L and Mitchell, Braxton D and Nouraie, Mehdi and Psaty, Bruce M and Raffield, Laura M and Reiner, Alexander P and Rich, Stephen S and Rotter, Jerome I and Shoemaker, M Benjamin and Smith, Nicholas L and Taylor, Kent D and Telen, Marilyn J and Weiss, Scott T and Zhang, Yingze and Costa, Nancy Heard- and Sun, Yan V and Lin, Xihong and Cupples, L Adrienne and Lange, Leslie A and Liu, Ching-Ti and Loos, Ruth J F and North, Kari E and Justice, Anne E} }