@article {8536,
	title = {{Dairy Consumption and Body Mass Index Among Adults: Mendelian Randomization Analysis of 184802 Individuals from 25 Studies},
	journal = {Clin Chem},
	volume = {64},
	year = {2018},
	month = {01},
	pages = {183{\textendash}191},
	abstract = {Associations between dairy intake and body mass index (BMI) have been inconsistently observed in epidemiological studies, and the causal relationship remains ill defined.\ We performed Mendelian randomization (MR) analysis using an established dairy intake-associated genetic polymorphism located upstream of the lactase gene (LCT-13910 C/T, rs4988235) as an instrumental variable (IV). Linear regression models were fitted to analyze associations between (a) dairy intake and BMI, (b) rs4988235 and dairy intake, and (c) rs4988235 and BMI in each study. The causal effect of dairy intake on BMI was quantified by IV estimators among 184802 participants from 25 studies.\ Higher dairy intake was associated with higher BMI ({\^I}{\texttwosuperior} = 0.03 kg/m2 per serving/day; 95\% CI, 0.00-0.06; P = 0.04), whereas the LCT genotype with 1 or 2 T allele was significantly associated with 0.20 (95\% CI, 0.14-0.25) serving/day higher dairy intake (P = 3.15 {\~A}{\textemdash} 10-12) and 0.12 (95\% CI, 0.06-0.17) kg/m2 higher BMI (P = 2.11 {\~A}{\textemdash} 10-5). MR analysis showed that the genetically determined higher dairy intake was significantly associated with higher BMI ({\^I}{\texttwosuperior} = 0.60 kg/m2 per serving/day; 95\% CI, 0.27-0.92; P = 3.0 {\~A}{\textemdash} 10-4).\ The present study provides strong evidence to support a causal effect of higher dairy intake on increased BMI among adults.},
	author = {Huang, T. and Ding, M. and Bergholdt, H. K. M. and Wang, T. and Heianza, Y. and Sun, D. and Frazier-Wood, A. C. and Aslibekyan, S. and North, K. E. and Voortman, T. and Graff, M. and Smith, C. E. and Lai, C. Q. and Varbo, A. and Lemaitre, R. N. and de Jonge, M. E. A. L. and Fumeron, F. and Corella, D. and Wang, C. A. and Tj?nneland, A. and Overvad, K. and S?rensen, T. I. A. and Feitosa, M. F. and Wojczynski, M. K. and K?h?nen, M. and Renstr?m, F. and Psaty, B. M. and Siscovick, D. S. and Barroso, I. and Johansson, I. and Hernandez, D. and Ferrucci, L. and Bandinelli, S. and Linneberg, A. and Zillikens, M. C. and Sandholt, C. H. and Pedersen, O. and Hansen, T. and Schulz, C. A. and Sonestedt, E. and Orho-Melander, M. and Chen, T. A. and Rotter, J. I. and Allison, M. A. and Rich, S. S. and Sorl?, J. V. and Coltell, O. and Pennell, C. E. and Eastwood, P. and Hofman, A. and Uitterlinden, A. G. and van Rooij, F. J. A. and Chu, A. Y. and Rose, L. M. and Ridker, P. M. and Viikari, J. and Raitakari, O. and Lehtim?ki, T. and Mikkil?, V. and Willett, W. C. and Wang, Y. and Tucker, K. L. and Ordovas, J. M. and Kilpel?inen, T. O. and Province, M. A. and Franks, P. W. and Arnett, D. K. and Tanaka, T. and Toft, U. and Ericson, U. and Franco, O. H. and Mozaffarian, D. and Hu, F. B. and Chasman, D. I. and Nordestgaard, B. G. and Ellervik, C. and Qi, L.}
}
@article {8515,
	title = {{Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls},
	journal = {Nature},
	volume = {570},
	year = {2019},
	month = {06},
	pages = {71{\textendash}76},
	abstract = {Protein-coding genetic variants that strongly affect disease risk can yield relevant clues to disease pathogenesis. Here we report exome-sequencing analyses of 20,791 individuals with type 2 diabetes (T2D) and 24,440 non-diabetic control participants from 5 ancestries. We identify gene-level associations of rare variants (with minor allele frequencies of less than 0.5\%) in 4 genes at exome-wide significance, including a series of more than 30 SLC30A8 alleles that conveys protection against T2D, and in 12 gene sets, including those corresponding to T2D drug targets (P = 6.1 {\~A}{\textemdash} 10-3) and candidate genes from knockout mice (P = 5.2 {\~A}{\textemdash} 10-3). Within our study, the strongest T2D gene-level signals for rare variants explain at most 25\% of the heritability of the strongest common single-variant signals, and the gene-level effect sizes of the rare variants that we observed in established T2D drug targets will require 75,000-185,000 sequenced cases to achieve exome-wide significance. We propose a method to interpret these modest rare-variant associations and to incorporate these associations into future target or gene prioritization efforts.},
	author = {Flannick, J. and Mercader, J. M. and Fuchsberger, C. and Udler, M. S. and Mahajan, A. and Wessel, J. and Teslovich, T. M. and Caulkins, L. and Koesterer, R. and Barajas-Olmos, F. and Blackwell, T. W. and Boerwinkle, E. and Brody, J. A. and Centeno-Cruz, F. and Chen, L. and Chen, S. and Contreras-Cubas, C. and C?rdova, E. and Correa, A. and Cortes, M. and DeFronzo, R. A. and Dolan, L. and Drews, K. L. and Elliott, A. and Floyd, J. S. and Gabriel, S. and Garay-Sevilla, M. E. and Garc?a-Ortiz, H. and Gross, M. and Han, S. and Heard-Costa, N. L. and Jackson, A. U. and J?rgensen, M. E. and Kang, H. M. and Kelsey, M. and Kim, B. J. and Koistinen, H. A. and Kuusisto, J. and Leader, J. B. and Linneberg, A. and Liu, C. T. and Liu, J. and Lyssenko, V. and Manning, A. K. and Marcketta, A. and Malacara-Hernandez, J. M. and Mart?nez-Hern?ndez, A. and Matsuo, K. and Mayer-Davis, E. and Mendoza-Caamal, E. and Mohlke, K. L. and Morrison, A. C. and Ndungu, A. and Ng, M. C. Y. and O{\textquoteright}Dushlaine, C. and Payne, A. J. and Pihoker, C. and Post, W. S. and Preuss, M. and Psaty, B. M. and Vasan, R. S. and Rayner, N. W. and Reiner, A. P. and Revilla-Monsalve, C. and Robertson, N. R. and Santoro, N. and Schurmann, C. and So, W. Y. and Sober?n, X. and Stringham, H. M. and Strom, T. M. and Tam, C. H. T. and Thameem, F. and Tomlinson, B. and Torres, J. M. and Tracy, R. P. and van Dam, R. M. and Vujkovic, M. and Wang, S. and Welch, R. P. and Witte, D. R. and Wong, T. Y. and Atzmon, G. and Barzilai, N. and Blangero, J. and Bonnycastle, L. L. and Bowden, D. W. and Chambers, J. C. and Chan, E. and Cheng, C. Y. and Cho, Y. S. and Collins, F. S. and de Vries, P. S. and Duggirala, R. and Glaser, B. and Gonzalez, C. and Gonzalez, M. E. and Groop, L. and Kooner, J. S. and Kwak, S. H. and Laakso, M. and Lehman, D. M. and Nilsson, P. and Spector, T. D. and Tai, E. S. and Tuomi, T. and Tuomilehto, J. and Wilson, J. G. and Aguilar-Salinas, C. A. and Bottinger, E. and Burke, B. and Carey, D. J. and Chan, J. C. N. and Dupuis, J. and Frossard, P. and Heckbert, S. R. and Hwang, M. Y. and Kim, Y. J. and Kirchner, H. L. and Lee, J. Y. and Lee, J. and Loos, R. J. F. and Ma, R. C. W. and Morris, A. D. and O{\textquoteright}Donnell, C. J. and Palmer, C. N. A. and Pankow, J. and Park, K. S. and Rasheed, A. and Saleheen, D. and Sim, X. and Small, K. S. and Teo, Y. Y. and Haiman, C. and Hanis, C. L. and Henderson, B. E. and Orozco, L. and Tusi?-Luna, T. and Dewey, F. E. and Baras, A. and Gieger, C. and Meitinger, T. and Strauch, K. and Lange, L. and Grarup, N. and Hansen, T. and Pedersen, O. and Zeitler, P. and Dabelea, D. and Abecasis, G. and Bell, G. I. and Cox, N. J. and Seielstad, M. and Sladek, R. and Meigs, J. B. and Rich, S. S. and Rotter, J. I. and Altshuler, D. and Burtt, N. P. and Scott, L. J. and Morris, A. P. and Florez, J. C. and McCarthy, M. I. and Boehnke, M.}
}
@article {8532,
	title = {{Omega-3 Fatty Acids and Genome-Wide Interaction Analyses Reveal DPP10-Pulmonary Function Association},
	journal = {Am J Respir Crit Care Med},
	volume = {199},
	year = {2019},
	month = {03},
	pages = {631{\textendash}642},
	abstract = {Omega-3 polyunsaturated fatty acids (n-3 PUFAs) have anti-inflammatory properties that could benefit adults with comprised pulmonary health.\ To investigate n-3 PUFA associations with spirometric measures of pulmonary function tests (PFTs) and determine underlying genetic susceptibility.\ Associations of n-3 PUFA biomarkers ({\^I}{\textpm}-linolenic acid, eicosapentaenoic acid, docosapentaenoic acid [DPA], and docosahexaenoic acid [DHA]) were evaluated with PFTs (FEV1, FVC, and FEV1/FVC) in meta-analyses across seven cohorts from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (N = 16,134 of European or African ancestry). PFT-associated n-3 PUFAs were carried forward to genome-wide interaction analyses in the four largest cohorts (N = 11,962) and replicated in one cohort (N = 1,687). Cohort-specific results were combined using joint 2 degree-of-freedom (2df) meta-analyses of SNP associations and their interactions with n-3 PUFAs.\ DPA and DHA were positively associated with FEV1 and FVC (P < 0.025), with evidence for effect modification by smoking and by sex. Genome-wide analyses identified a novel association of rs11693320-an intronic DPP10 SNP-with FVC when incorporating an interaction with DHA, and the finding was replicated (P2df = 9.4 {\~A}{\textemdash} 10-9 across discovery and replication cohorts). The rs11693320-A allele (frequency, {\^a}{\textasciicircum}{\textonequarter}80\%) was associated with lower FVC (PSNP = 2.1 {\~A}{\textemdash} 10-9; {\^I}{\texttwosuperior}SNP = -161.0 ml), and the association was attenuated by higher DHA levels (PSNP{\~A}{\textemdash}DHA interaction = 2.1 {\~A}{\textemdash} 10-7; {\^I}{\texttwosuperior}SNP{\~A}{\textemdash}DHA interaction = 36.2 ml).\ We corroborated beneficial effects of n-3 PUFAs on pulmonary function. By modeling genome-wide n-3 PUFA interactions, we identified a novel DPP10 SNP association with FVC that was not detectable in much larger studies ignoring this interaction.},
	author = {Xu, J. and Gaddis, N. C. and Bartz, T. M. and Hou, R. and Manichaikul, A. W. and Pankratz, N. and Smith, A. V. and Sun, F. and Terzikhan, N. and Markunas, C. A. and Patchen, B. K. and Schu, M. and Beydoun, M. A. and Brusselle, G. G. and Eiriksdottir, G. and Zhou, X. and Wood, A. C. and Graff, M. and Harris, T. B. and Ikram, M. A. and Jacobs, D. R. and Launer, L. J. and Lemaitre, R. N. and O{\textquoteright}Connor, G. T. and Oelsner, E. C. and Psaty, B. M. and Vasan, R. S. and Rohde, R. R. and Rich, S. S. and Rotter, J. I. and Seshadri, S. and Smith, L. J. and Tiemeier, H. and Tsai, M. Y. and Uitterlinden, A. G. and Voruganti, V. S. and Xu, H. and Zilh?o, N. R. and Fornage, M. and Zillikens, M. C. and London, S. J. and Barr, R. G. and Dupuis, J. and Gharib, S. A. and Gudnason, V. and Lahousse, L. and North, K. E. and Steffen, L. M. and Cassano, P. A. and Hancock, D. B.}
}
@article {8453,
	title = {{Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale},
	journal = {Nat Genet},
	volume = {52},
	year = {2020},
	month = {Sep},
	pages = {969{\textendash}983},
	abstract = {Large-scale whole-genome sequencing studies have enabled the analysis of rare variants (RVs) associated with complex phenotypes. Commonly used RV association tests have limited scope to leverage variant functions. We propose STAAR (variant-set test for association using annotation information), a scalable and powerful RV association test method that effectively incorporates both variant categories and multiple complementary annotations using a dynamic weighting scheme. For the latter, we introduce {\textquoteright}annotation principal components{\textquoteright}, multidimensional summaries of in silico variant annotations. STAAR accounts for population structure and relatedness and is scalable for analyzing very large cohort and biobank whole-genome sequencing studies of continuous and dichotomous traits. We applied STAAR to identify RVs associated with four lipid traits in 12,316 discovery and 17,822 replication samples from the Trans-Omics for Precision Medicine Program. We discovered and replicated new RV associations, including disruptive missense RVs of NPC1L1 and an intergenic region near APOC1P1 associated with low-density lipoprotein cholesterol.},
	author = {Li, X. and Li, Z. and Zhou, H. and Gaynor, S. M. and Liu, Y. and Chen, H. and Sun, R. and Dey, R. and Arnett, D. K. and Aslibekyan, S. and Ballantyne, C. M. and Bielak, L. F. and Blangero, J. and Boerwinkle, E. and Bowden, D. W. and Broome, J. G. and Conomos, M. P. and Correa, A. and Cupples, L. A. and Curran, J. E. and Freedman, B. I. and Guo, X. and Hindy, G. and Irvin, M. R. and Kardia, S. L. R. and Kathiresan, S. and Khan, A. T. and Kooperberg, C. L. and Laurie, C. C. and Liu, X. S. and Mahaney, M. C. and Manichaikul, A. W. and Martin, L. W. and Mathias, R. A. and McGarvey, S. T. and Mitchell, B. D. and Montasser, M. E. and Moore, J. E. and Morrison, A. C. and O{\textquoteright}Connell, J. R. and Palmer, N. D. and Pampana, A. and Peralta, J. M. and Peyser, P. A. and Psaty, B. M. and Redline, S. and Rice, K. M. and Rich, S. S. and Smith, J. A. and Tiwari, H. K. and Tsai, M. Y. and Vasan, R. S. and Wang, F. F. and Weeks, D. E. and Weng, Z. and Wilson, J. G. and Yanek, L. R. and Neale, B. M. and Sunyaev, S. R. and Abecasis, G. R. and Rotter, J. I. and Willer, C. J. and Peloso, G. M. and Natarajan, P. and Lin, X. and Abe, N. and Abecasis, G. R. and Aguet, F. and Albert, C. and Almasy, L. and Alonso, A. and Ament, S. and Anderson, P. and Anugu, P. and Applebaum-Bowden, D. and Ardlie, K. and Arking, D. and Arnett, D. K. and Ashley-Koch, A. and Aslibekyan, S. and Assimes, T. and Auer, P. and Avramopoulos, D. and Barnard, J. and Barnes, K. and Barr, R. G. and Barron-Casella, E. and Barwick, L. and Beaty, T. and Beck, G. and Becker, D. and Becker, L. and Beer, R. and Beitelshees, A. and Benjamin, E. and Benos, T. and Bezerra, M. and Bielak, L. F. and Bis, J. and Blackwell, T. and Blangero, J. and Boerwinkle, E. and Bowden, D. W. and Bowler, R. and Brody, J. and Broeckel, U. and Broome, J. G. and Bunting, K. and Burchard, E. and Bustamante, C. and Buth, E. and Cade, B. and Cardwell, J. and Carey, V. and Carty, C. and Casaburi, R. and Casella, J. and Castaldi, P. and Chaffin, M. and Chang, C. and Chang, Y. C. and Chasman, D. and Chavan, S. and Chen, B. J. and Chen, W. M. and Chen, Y. I. and Cho, M. and Choi, S. H. and Chuang, L. M. and Chung, M. and Chung, R. H. and Clish, C. and Comhair, S. and Conomos, M. P. and Cornell, E. and Correa, A. and Crandall, C. and Crapo, J. and Cupples, L. A. and Curran, J. E. and Curtis, J. and Custer, B. and Damcott, C. and Darbar, D. and Das, S. and David, S. and Davis, C. and Daya, M. and de Andrade, M. and Fuentes, L. L. and DeBaun, M. and Deka, R. and DeMeo, D. and Devine, S. and Duan, Q. and Duggirala, R. and Durda, J. P. and Dutcher, S. and Eaton, C. and Ekunwe, L. and El Boueiz, A. and Ellinor, P. and Emery, L. and Erzurum, S. and Farber, C. and Fingerlin, T. and Flickinger, M. and Fornage, M. and Franceschini, N. and Frazar, C. and Fu, M. and Fullerton, S. M. and Fulton, L. and Gabriel, S. and Gan, W. and Gao, S. and Gao, Y. and Gass, M. and Gelb, B. and Geng, X. P. and Geraci, M. and Germer, S. and Gerszten, R. and Ghosh, A. and Gibbs, R. and Gignoux, C. and Gladwin, M. and Glahn, D. and Gogarten, S. and Gong, D. W. and Goring, H. and Graw, S. and Grine, D. and Gu, C. C. and Guan, Y. and Guo, X. and Gupta, N. and Haessler, J. and Hall, M. and Harris, D. and Hawley, N. L. and He, J. and Heckbert, S. and Hernandez, R. and Herrington, D. and Hersh, C. and Hidalgo, B. and Hixson, J. and Hobbs, B. and Hokanson, J. and Hong, E. and Hoth, K. and Hsiung, C. A. and Hung, Y. J. and Huston, H. and Hwu, C. M. and Irvin, M. R. and Jackson, R. and Jain, D. and Jaquish, C. and Jhun, M. A. and Johnsen, J. and Johnson, A. and Johnson, C. and Johnston, R. and Jones, K. and Kang, H. M. and Kaplan, R. and Kardia, S. L. R. and Kathiresan, S. and Kelly, S. and Kenny, E. and Kessler, M. and Khan, A. T. and Kim, W. and Kinney, G. and Konkle, B. and Kooperberg, C. L. and Kramer, H. and Lange, C. and Lange, E. and Lange, L. and Laurie, C. C. and Laurie, C. and LeBoff, M. and Lee, J. and Lee, S. S. and Lee, W. J. and LeFaive, J. and Levine, D. and Levy, D. and Lewis, J. and Li, X. and Li, Y. and Lin, H. and Lin, H. and Lin, K. H. and Lin, X. and Liu, S. and Liu, Y. and Liu, Y. and Loos, R. J. F. and Lubitz, S. and Lunetta, K. and Luo, J. and Mahaney, M. C. and Make, B. and Manichaikul, A. W. and Manson, J. and Margolin, L. and Martin, L. W. and Mathai, S. and Mathias, R. A. and May, S. and McArdle, P. and McDonald, M. L. and McFarland, S. and McGarvey, S. T. and McGoldrick, D. and McHugh, C. and Mei, H. and Mestroni, L. and Meyers, D. A. and Mikulla, J. and Min, N. and Minear, M. and Minster, R. L. and Mitchell, B. D. and Moll, M. and Montasser, M. E. and Montgomery, C. and Moscati, A. and Musani, S. and Mwasongwe, S. and Mychaleckyj, J. C. and Nadkarni, G. and Naik, R. and Naseri, T. and Natarajan, P. and Nekhai, S. and Nelson, S. C. and Neltner, B. and Nickerson, D. and North, K. and O{\textquoteright}Connell, J. R. and O{\textquoteright}Connor, T. and Ochs-Balcom, H. and Paik, D. and Palmer, N. D. and Pankow, J. and Papanicolaou, G. and Parsa, A. and Peralta, J. M. and Perez, M. and Perry, J. and Peters, U. and Peyser, P. A. and Phillips, L. S. and Pollin, T. and Post, W. and Becker, J. P. and Boorgula, M. P. and Preuss, M. and Psaty, B. M. and Qasba, P. and Qiao, D. and Qin, Z. and Rafaels, N. and Raffield, L. and Vasan, R. S. and Rao, D. C. and Rasmussen-Torvik, L. and Ratan, A. and Redline, S. and Reed, R. and Regan, E. and Reiner, A. and Reupena, M. S. and Rice, K. M. and Rich, S. S. and Roden, D. and Roselli, C. and Rotter, J. I. and Ruczinski, I. and Russell, P. and Ruuska, S. and Ryan, K. and Sabino, E. C. and Saleheen, D. and Salimi, S. and Salzberg, S. and Sandow, K. and Sankaran, V. G. and Scheller, C. and Schmidt, E. and Schwander, K. and Schwartz, D. and Sciurba, F. and Seidman, C. and Seidman, J. and Sheehan, V. and Sherman, S. L. and Shetty, A. and Shetty, A. and Sheu, W. H. and Shoemaker, M. B. and Silver, B. and Silverman, E. and Smith, J. A. and Smith, J. and Smith, N. and Smith, T. and Smoller, S. and Snively, B. and Snyder, M. and Sofer, T. and Sotoodehnia, N. and Stilp, A. M. and Storm, G. and Streeten, E. and Su, J. L. and Sung, Y. J. and Sylvia, J. and Szpiro, A. and Sztalryd, C. and Taliun, D. and Tang, H. and Taub, M. and Taylor, K. D. and Taylor, M. and Taylor, S. and Telen, M. and Thornton, T. A. and Threlkeld, M. and Tinker, L. and Tirschwell, D. and Tishkoff, S. and Tiwari, H. K. and Tong, C. and Tracy, R. and Tsai, M. Y. and Vaidya, D. and Van Den Berg, D. and VandeHaar, P. and Vrieze, S. and Walker, T. and Wallace, R. and Walts, A. and Wang, F. F. and Wang, H. and Watson, K. and Weeks, D. E. and Weir, B. and Weiss, S. and Weng, L. C. and Wessel, J. and Willer, C. J. and Williams, K. and Williams, L. K. and Wilson, C. and Wilson, J. G. and Wong, Q. and Wu, J. and Xu, H. and Yanek, L. R. and Yang, I. and Yang, R. and Zaghloul, N. and Zekavat, M. and Zhang, Y. and Zhao, S. X. and Zhao, W. and Zhi, D. and Zhou, X. and Zhu, X. and Zody, M. and Zoellner, S. and Abdalla, M. and Abecasis, G. R. and Arnett, D. K. and Aslibekyan, S. and Assimes, T. and Atkinson, E. and Ballantyne, C. M. and Beitelshees, A. and Bielak, L. F. and Bis, J. and Bodea, C. and Boerwinkle, E. and Bowden, D. W. and Brody, J. and Cade, B. and Carlson, J. and Chang, I. S. and Chen, Y. I. and Chun, S. and Chung, R. H. and Conomos, M. P. and Correa, A. and Cupples, L. A. and Damcott, C. and de Vries, P. and Do, R. and Elliott, A. and Fu, M. and Ganna, A. and Gong, D. W. and Graham, S. and Haas, M. and Haring, B. and He, J. and Heckbert, S. and Himes, B. and Hixson, J. and Irvin, M. R. and Jain, D. and Jarvik, G. and Jhun, M. A. and Jiang, J. and Jun, G. and Kalyani, R. and Kardia, S. L. R. and Kathiresan, S. and Khera, A. and Klarin, D. and Kooperberg, C. L. and Kral, B. and Lange, L. and Laurie, C. C. and Laurie, C. and Lemaitre, R. and Li, Z. and Li, X. and Lin, X. and Mahaney, M. C. and Manichaikul, A. W. and Martin, L. W. and Mathias, R. A. and Mathur, R. and McGarvey, S. T. and McHugh, C. and McLenithan, J. and Mikulla, J. and Mitchell, B. D. and Montasser, M. E. and Moran, A. and Morrison, A. C. and Nakao, T. and Natarajan, P. and Nickerson, D. and North, K. and O{\textquoteright}Connell, J. R. and O{\textquoteright}Donnell, C. and Palmer, N. D. and Pampana, A. and Patel, A. and Peloso, G. M. and Perry, J. and Peters, U. and Peyser, P. A. and Pirruccello, J. and Pollin, T. and Preuss, M. and Psaty, B. M. and Rao, D. C. and Redline, S. and Reed, R. and Reiner, A. and Rich, S. S. and Rosenthal, S. and Rotter, J. I. and Schoenberg, J. and Selvaraj, M. S. and Sheu, W. H. and Smith, J. A. and Sofer, T. and Stilp, A. M. and Sunyaev, S. R. and Surakka, I. and Sztalryd, C. and Tang, H. and Taylor, K. D. and Tsai, M. Y. and Uddin, M. M. and Urbut, S. and Verbanck, M. and Von Holle, A. and Wang, H. and Wang, F. F. and Wiggins, K. and Willer, C. J. and Wilson, J. G. and Wolford, B. and Xu, H. and Yanek, L. R. and Zaghloul, N. and Zekavat, M. and Zhang, J.}
}
@article {8454,
	title = {{Genome-Wide Association Study Meta-Analysis of Stroke in 22 000 Individuals of African Descent Identifies Novel Associations With Stroke},
	journal = {Stroke},
	volume = {51},
	year = {2020},
	month = {Aug},
	pages = {2454{\textendash}2463},
	abstract = {Stroke is a complex disease with multiple genetic and environmental risk factors. Blacks endure a nearly 2-fold greater risk of stroke and are 2{\~A}{\textemdash} to 3{\~A}{\textemdash} more likely to die from stroke than European Americans.\ The COMPASS (Consortium of Minority Population Genome-Wide Association Studies of Stroke) has conducted a genome-wide association meta-analysis of stroke in >22 000 individuals of African ancestry (3734 cases, 18 317 controls) from 13 cohorts.\ In meta-analyses, we identified one single nucleotide polymorphism (rs55931441) near the HNF1A gene that reached genome-wide significance (P=4.62{\~A}{\textemdash}10-8) and an additional 29 variants with suggestive evidence of association (P<1{\~A}{\textemdash}10-6), representing 24 unique loci. For validation, a look-up analysis for a 100 kb region flanking the COMPASS single nucleotide polymorphism was performed in SiGN (Stroke Genetics Network) Europeans, SiGN Hispanics, and METASTROKE (Europeans). Using a stringent Bonferroni correction P value of 2.08{\~A}{\textemdash}10-3 (0.05/24 unique loci), we were able to validate associations at the HNF1A locus in both SiGN (P=8.18{\~A}{\textemdash}10-4) and METASTROKE (P=1.72{\~A}{\textemdash}10-3) European populations. Overall, 16 of 24 loci showed evidence for validation across multiple populations. Previous studies have reported associations between variants in the HNF1A gene and lipids, C-reactive protein, and risk of coronary artery disease and stroke. Suggestive associations with variants in the SFXN4 and TMEM108 genes represent potential novel ischemic stroke loci.\ These findings represent the most thorough investigation of genetic determinants of stroke in individuals of African descent, to date.},
	author = {Keene, K. L. and Hyacinth, H. I. and Bis, J. C. and Kittner, S. J. and Mitchell, B. D. and Cheng, Y. C. and Pare, G. and Chong, M. and O{\textquoteright}Donnell, M. and Meschia, J. F. and Chen, W. M. and Sale, M. M. and Rich, S. S. and Nalls, M. A. and Zonderman, A. B. and Evans, M. K. and Wilson, J. G. and Correa, A. and Markus, H. S. and Traylor, M. and Lewis, C. M. and Carty, C. L. and Reiner, A. and Haessler, J. and Langefeld, C. D. and Gottesman, R. and Mosley, T. H. and Woo, D. and Yaffe, K. and Liu, Y. and Longstreth, W. T. and Psaty, B. M. and Kooperberg, C. and Lange, L. A. and Sacco, R. and Rundek, T. and Lee, J. M. and Cruchaga, C. and Furie, K. L. and Arnett, D. K. and Benavente, O. R. and Grewal, R. P. and Peddareddygari, L. R. and Dichgans, M. and Malik, R. and Worrall, B. B. and Fornage, M.}
}
@article {8917,
	title = {{Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function},
	journal = {Sci Rep},
	volume = {11},
	year = {2021},
	month = {09},
	pages = {19365},
	abstract = {. This study investigates the utility of assessing gene-by-smoking interactions and underscores their effects on potential pulmonary function.},
	author = {Yang, T. and Jackson, V. E. and Smith, A. V. and Chen, H. and Bartz, T. M. and Sitlani, C. M. and Psaty, B. M. and Gharib, S. A. and O{\textquoteright}Connor, G. T. and Dupuis, J. and Xu, J. and Lohman, K. and Liu, Y. and Kritchevsky, S. B. and Cassano, P. A. and Flexeder, C. and Gieger, C. and Karrasch, S. and Peters, A. and Schulz, H. and Harris, S. E. and Starr, J. M. and Deary, I. J. and Manichaikul, A. and Oelsner, E. C. and Barr, R. G. and Taylor, K. D. and Rich, S. S. and Bonten, T. N. and Mook-Kanamori, D. O. and Noordam, R. and Li-Gao, R. and Jarvelin, M. R. and Wielscher, M. and Terzikhan, N. and Lahousse, L. and Brusselle, G. and Weiss, S. and Ewert, R. and Gl{\"a}ser, S. and Homuth, G. and Shrine, N. and Hall, I. P. and Tobin, M. and London, S. J. and Wei, P. and Morrison, A. C.}
}
@article {8829,
	title = {{Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis},
	journal = {Circ Genom Precis Med},
	volume = {14},
	year = {2021},
	month = {Aug},
	pages = {e003300},
	abstract = {Alterations in electrocardiographic (ECG) intervals are well-known markers for arrhythmia and sudden cardiac death (SCD) risk. While the genetics of arrhythmia syndromes have been studied, relations between electrocardiographic intervals and rare genetic variation at a population level are poorly understood.\ Using a discovery sample of 29 000 individuals with whole-genome sequencing from Trans-Omics in Precision Medicine and replication in nearly 100 000 with whole-exome sequencing from the UK Biobank and MyCode, we examined associations between low-frequency and rare coding variants with 5 routinely measured electrocardiographic traits (RR, P-wave, PR, and QRS intervals and corrected QT interval).\ ), a marker of SCD risk. Incomplete penetrance of such deleterious variation was common as over 70\% of carriers had normal electrocardiographic intervals.\ Our findings indicate that large-scale high-depth sequence data and electrocardiographic analysis identifies monogenic arrhythmia susceptibility genes and rare variants with large effects. Known pathogenic variation in conventional arrhythmia and SCD genes exhibited incomplete penetrance and accounted for only a small fraction of marked electrocardiographic interval prolongation.},
	author = {Choi, S. H. and Jurgens, S. J. and Haggerty, C. M. and Hall, A. W. and Halford, J. L. and Morrill, V. N. and Weng, L. C. and Lagerman, B. and Mirshahi, T. and Pettinger, M. and Guo, X. and Lin, H. J. and Alonso, A. and Soliman, E. Z. and Kornej, J. and Lin, H. and Moscati, A. and Nadkarni, G. N. and Brody, J. A. and Wiggins, K. L. and Cade, B. E. and Lee, J. and Austin-Tse, C. and Blackwell, T. and Chaffin, M. D. and Lee, C. J. and Rehm, H. L. and Roselli, C. and Redline, S. and Mitchell, B. D. and Sotoodehnia, N. and Psaty, B. M. and Heckbert, S. R. and Loos, R. J. F. and Vasan, R. S. and Benjamin, E. J. and Correa, A. and Boerwinkle, E. and Arking, D. E. and Rotter, J. I. and Rich, S. S. and Whitsel, E. A. and Perez, M. and Kooperberg, C. and Fornwalt, B. K. and Lunetta, K. L. and Ellinor, P. T. and Lubitz, S. A.}
}
@article {8772,
	title = {{The trans-ancestral genomic architecture of glycemic traits},
	journal = {Nat Genet},
	volume = {53},
	year = {2021},
	month = {06},
	pages = {840{\textendash}860},
	abstract = {10.1038/s41588-021-00852-9Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30\% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P < 5 {\texttimes} 10-8), 80\% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99\% credible sets by a median of 37.5\%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution.},
	author = {Chen, J. and Spracklen, C. N. and Marenne, G. and Varshney, A. and Corbin, L. J. and Luan, J. and Willems, S. M. and Wu, Y. and Zhang, X. and Horikoshi, M. and Boutin, T. S. and M{\"a}gi, R. and Waage, J. and Li-Gao, R. and Chan, K. H. K. and Yao, J. and Anasanti, M. D. and Chu, A. Y. and Claringbould, A. and Heikkinen, J. and Hong, J. and Hottenga, J. J. and Huo, S. and Kaakinen, M. A. and Louie, T. and M{\"a}rz, W. and Moreno-Macias, H. and Ndungu, A. and Nelson, S. C. and Nolte, I. M. and North, K. E. and Raulerson, C. K. and Ray, D. and Rohde, R. and Rybin, D. and Schurmann, C. and Sim, X. and Southam, L. and Stewart, I. D. and Wang, C. A. and Wang, Y. and Wu, P. and Zhang, W. and Ahluwalia, T. S. and Appel, E. V. R. and Bielak, L. F. and Brody, J. A. and Burtt, N. P. and Cabrera, C. P. and Cade, B. E. and Chai, J. F. and Chai, X. and Chang, L. C. and Chen, C. H. and Chen, B. H. and Chitrala, K. N. and Chiu, Y. F. and de Haan, H. G. and Delgado, G. E. and Demirkan, A. and Duan, Q. and Engmann, J. and Fatumo, S. A. and Gay{\'a}n, J. and Giulianini, F. and Gong, J. H. and Gustafsson, S. and Hai, Y. and Hartwig, F. P. and He, J. and Heianza, Y. and Huang, T. and Huerta-Chagoya, A. and Hwang, M. Y. and Jensen, R. A. and Kawaguchi, T. and Kentistou, K. A. and Kim, Y. J. and Kleber, M. E. and Kooner, I. K. and Lai, S. and Lange, L. A. and Langefeld, C. D. and Lauzon, M. and Li, M. and Ligthart, S. and Liu, J. and Loh, M. and Long, J. and Lyssenko, V. and Mangino, M. and Marzi, C. and Montasser, M. E. and Nag, A. and Nakatochi, M. and Noce, D. and Noordam, R. and Pistis, G. and Preuss, M. and Raffield, L. and Rasmussen-Torvik, L. J. and Rich, S. S. and Robertson, N. R. and Rueedi, R. and Ryan, K. and Sanna, S. and Saxena, R. and Schraut, K. E. and Sennblad, B. and Setoh, K. and Smith, A. V. and Spars{\o}, T. and Strawbridge, R. J. and Takeuchi, F. and Tan, J. and Trompet, S. and van den Akker, E. and van der Most, P. J. and Verweij, N. and Vogel, M. and Wang, H. and Wang, C. and Wang, N. and Warren, H. R. and Wen, W. and Wilsgaard, T. and Wong, A. and Wood, A. R. and Xie, T. and Zafarmand, M. H. and Zhao, J. H. and Zhao, W. and Amin, N. and Arzumanyan, Z. and Astrup, A. and Bakker, S. J. L. and Baldassarre, D. and Beekman, M. and Bergman, R. N. and Bertoni, A. and Bl{\"u}her, M. and Bonnycastle, L. L. and Bornstein, S. R. and Bowden, D. W. and Cai, Q. and Campbell, A. and Campbell, H. and Chang, Y. C. and de Geus, E. J. C. and Dehghan, A. and Du, S. and Eiriksdottir, G. and Farmaki, A. E. and Fr{\r a}nberg, M. and Fuchsberger, C. and Gao, Y. and Gjesing, A. P. and Goel, A. and Han, S. and Hartman, C. A. and Herder, C. and Hicks, A. A. and Hsieh, C. H. and Hsueh, W. A. and Ichihara, S. and Igase, M. and Ikram, M. A. and Johnson, W. C. and J{\o}rgensen, M. E. and Joshi, P. K. and Kalyani, R. R. and Kandeel, F. R. and Katsuya, T. and Khor, C. C. and Kiess, W. and Kolcic, I. and Kuulasmaa, T. and Kuusisto, J. and L{\"a}ll, K. and Lam, K. and Lawlor, D. A. and Lee, N. R. and Lemaitre, R. N. and Li, H. and Lin, S. Y. and Lindstr{\"o}m, J. and Linneberg, A. and Liu, J. and Lorenzo, C. and Matsubara, T. and Matsuda, F. and Mingrone, G. and Mooijaart, S. and Moon, S. and Nabika, T. and Nadkarni, G. N. and Nadler, J. L. and Nelis, M. and Neville, M. J. and Norris, J. M. and Ohyagi, Y. and Peters, A. and Peyser, P. A. and Polasek, O. and Qi, Q. and Raven, D. and Reilly, D. F. and Reiner, A. and Rivideneira, F. and Roll, K. and Rudan, I. and Sabanayagam, C. and Sandow, K. and Sattar, N. and Sch{\"u}rmann, A. and Shi, J. and Stringham, H. M. and Taylor, K. D. and Teslovich, T. M. and Thuesen, B. and Timmers, P. R. H. J. and Tremoli, E. and Tsai, M. Y. and Uitterlinden, A. and van Dam, R. M. and van Heemst, D. and van Hylckama Vlieg, A. and Van Vliet-Ostaptchouk, J. V. and Vangipurapu, J. and Vestergaard, H. and Wang, T. and Willems van Dijk, K. and Zemunik, T. and Abecasis, G. R. and Adair, L. S. and Aguilar-Salinas, C. A. and Alarc{\'o}n-Riquelme, M. E. and An, P. and Aviles-Santa, L. and Becker, D. M. and Beilin, L. J. and Bergmann, S. and Bisgaard, H. and Black, C. and Boehnke, M. and Boerwinkle, E. and B{\"o}hm, B. O. and B{\o}nnelykke, K. and Boomsma, D. I. and Bottinger, E. P. and Buchanan, T. A. and Canouil, M. and Caulfield, M. J. and Chambers, J. C. and Chasman, D. I. and Chen, Y. I. and Cheng, C. Y. and Collins, F. S. and Correa, A. and Cucca, F. and de Silva, H. J. and Dedoussis, G. and Elmst{\r a}hl, S. and Evans, M. K. and Ferrannini, E. and Ferrucci, L. and Florez, J. C. and Franks, P. W. and Frayling, T. M. and Froguel, P. and Gigante, B. and Goodarzi, M. O. and Gordon-Larsen, P. and Grallert, H. and Grarup, N. and Grimsgaard, S. and Groop, L. and Gudnason, V. and Guo, X. and Hamsten, A. and Hansen, T. and Hayward, C. and Heckbert, S. R. and Horta, B. L. and Huang, W. and Ingelsson, E. and James, P. S. and Jarvelin, M. R. and Jonas, J. B. and Jukema, J. W. and Kaleebu, P. and Kaplan, R. and Kardia, S. L. R. and Kato, N. and Keinanen-Kiukaanniemi, S. M. and Kim, B. J. and Kivimaki, M. and Koistinen, H. A. and Kooner, J. S. and K{\"o}rner, A. and Kovacs, P. and Kuh, D. and Kumari, M. and Kutalik, Z. and Laakso, M. and Lakka, T. A. and Launer, L. J. and Leander, K. and Li, H. and Lin, X. and Lind, L. and Lindgren, C. and Liu, S. and Loos, R. J. F. and Magnusson, P. K. E. and Mahajan, A. and Metspalu, A. and Mook-Kanamori, D. O. and Mori, T. A. and Munroe, P. B. and Nj{\o}lstad, I. and O{\textquoteright}Connell, J. R. and Oldehinkel, A. J. and Ong, K. K. and Padmanabhan, S. and Palmer, C. N. A. and Palmer, N. D. and Pedersen, O. and Pennell, C. E. and Porteous, D. J. and Pramstaller, P. P. and Province, M. A. and Psaty, B. M. and Qi, L. and Raffel, L. J. and Rauramaa, R. and Redline, S. and Ridker, P. M. and Rosendaal, F. R. and Saaristo, T. E. and Sandhu, M. and Saramies, J. and Schneiderman, N. and Schwarz, P. and Scott, L. J. and Selvin, E. and Sever, P. and Shu, X. O. and Slagboom, P. E. and Small, K. S. and Smith, B. H. and Snieder, H. and Sofer, T. and S{\o}rensen, T. I. A. and Spector, T. D. and Stanton, A. and Steves, C. J. and Stumvoll, M. and Sun, L. and Tabara, Y. and Tai, E. S. and Timpson, N. J. and Tonjes, A. and Tuomilehto, J. and Tusie, T. and Uusitupa, M. and van der Harst, P. and van Duijn, C. and Vitart, V. and Vollenweider, P. and Vrijkotte, T. G. M. and Wagenknecht, L. E. and Walker, M. and Wang, Y. X. and Wareham, N. J. and Watanabe, R. M. and Watkins, H. and Wei, W. B. and Wickremasinghe, A. R. and Willemsen, G. and Wilson, J. F. and Wong, T. Y. and Wu, J. Y. and Xiang, A. H. and Yanek, L. R. and Yengo, L. and Yokota, M. and Zeggini, E. and Zheng, W. and Zonderman, A. B. and Rotter, J. I. and Gloyn, A. L. and McCarthy, M. I. and Dupuis, J. and Meigs, J. B. and Scott, R. A. and Prokopenko, I. and Leong, A. and Liu, C. T. and Parker, S. C. J. and Mohlke, K. L. and Langenberg, C. and Wheeler, E. and Morris, A. P. and Barroso, I. and de Haan, H. G. and van den Akker, E. and van der Most, P. J. and de Geus, E. J. C. and van Dam, R. M. and van Heemst, D. and van Hylckama Vlieg, A. and van Willems van Dijk, K. and de Silva, H. J. and van der Harst, P. and van Duijn, C.}
}
@article {8999,
	title = {{Genome-wide analysis of mitochondrial DNA copy number reveals loci implicated in nucleotide metabolism, platelet activation, and megakaryocyte proliferation},
	journal = {Hum Genet},
	volume = {141},
	year = {2022},
	month = {Jan},
	pages = {127{\textendash}146},
	abstract = {).},
	author = {Longchamps, R. J. and Yang, S. Y. and Castellani, C. A. and Shi, W. and Lane, J. and Grove, M. L. and Bartz, T. M. and Sarnowski, C. and Liu, C. and Burrows, K. and Guyatt, A. L. and Gaunt, T. R. and Kacprowski, T. and Yang, J. and De Jager, P. L. and Yu, L. and Bergman, A. and Xia, R. and Fornage, M. and Feitosa, M. F. and Wojczynski, M. K. and Kraja, A. T. and Province, M. A. and Amin, N. and Rivadeneira, F. and Tiemeier, H. and Uitterlinden, A. G. and Broer, L. and van Meurs, J. B. J. and van Duijn, C. M. and Raffield, L. M. and Lange, L. and Rich, S. S. and Lemaitre, R. N. and Goodarzi, M. O. and Sitlani, C. M. and Mak, A. C. Y. and Bennett, D. A. and Rodriguez, S. and Murabito, J. M. and Lunetta, K. L. and Sotoodehnia, N. and Atzmon, G. and Ye, K. and Barzilai, N. and Brody, J. A. and Psaty, B. M. and Taylor, K. D. and Rotter, J. I. and Boerwinkle, E. and Pankratz, N. and Arking, D. E.}
}
@article {8996,
	title = {{Whole-Genome Sequencing Association Analyses of Stroke and Its Subtypes in Ancestrally Diverse Populations From Trans-Omics for Precision Medicine Project},
	journal = {Stroke},
	volume = {53},
	year = {2022},
	month = {Mar},
	pages = {875{\textendash}885},
	abstract = {Stroke is the leading cause of death and long-term disability worldwide. Previous genome-wide association studies identified 51 loci associated with stroke (mostly ischemic) and its subtypes among predominantly European populations. Using whole-genome sequencing in ancestrally diverse populations from the Trans-Omics for Precision Medicine (TOPMed) Program, we aimed to identify novel variants, especially low-frequency or ancestry-specific variants, associated with all stroke, ischemic stroke and its subtypes (large artery, cardioembolic, and small vessel), and hemorrhagic stroke and its subtypes (intracerebral and subarachnoid).\ Whole-genome sequencing data were available for 6833 stroke cases and 27 116 controls, including 22 315 European, 7877 Black, 2616 Hispanic/Latino, 850 Asian, 54 Native American, and 237 other ancestry participants. In TOPMed, we performed single variant association analysis examining 40 million common variants and aggregated association analysis focusing on rare variants. We also combined TOPMed European populations with over 28 000 additional European participants from the UK BioBank genome-wide array data through meta-analysis.\ .\ We represent the first association analysis for stroke and its subtypes using whole-genome sequencing data from ancestrally diverse populations. While our findings suggest the potential benefits of combining whole-genome sequencing data with populations of diverse genetic backgrounds to identify possible low-frequency or ancestry-specific variants, they also highlight the need to increase genome coverage and sample sizes.},
	author = {Hu, Y. and Haessler, J. W. and Manansala, R. and Wiggins, K. L. and Moscati, A. and Beiser, A. and Heard-Costa, N. L. and Sarnowski, C. and Raffield, L. M. and Chung, J. and Marini, S. and Anderson, C. D. and Rosand, J. and Xu, H. and Sun, X. and Kelly, T. N. and Wong, Q. and Lange, L. A. and Rotter, J. I. and Correa, A. and Vasan, R. S. and Seshadri, S. and Rich, S. S. and Do, R. and Loos, R. J. F. and Longstreth, W. T. and Bis, J. C. and Psaty, B. M. and Tirschwell, D. L. and Assimes, T. L. and Silver, B. and Liu, S. and Jackson, R. and Wassertheil-Smoller, S. and Mitchell, B. D. and Fornage, M. and Auer, P. L. and Reiner, A. P. and Kooperberg, C.}
}
@article {9546,
	title = {{Identification of circulating proteins associated with general cognitive function among middle-aged and older adults},
	journal = {Commun Biol},
	volume = {6},
	year = {2023},
	month = {Nov},
	pages = {1117},
	abstract = {2.0E-4). Proteins implicated as causes or consequences of AD susceptibility may provide new insight into the potential relationship between immunity and AD susceptibility as well as potential therapeutic targets.},
	author = {Tin, A. and Fohner, A. E. and Yang, Q. and Brody, J. A. and Davies, G. and Yao, J. and Liu, D. and Caro, I. and Lindbohm, J. V. and Duggan, M. R. and Meirelles, O. and Harris, S. E. and Gudmundsdottir, V. and Taylor, A. M. and Henry, A. and Beiser, A. S. and Shojaie, A. and Coors, A. and Fitzpatrick, A. L. and Langenberg, C. and Satizabal, C. L. and Sitlani, C. M. and Wheeler, E. and Tucker-Drob, E. M. and Bressler, J. and Coresh, J. and Bis, J. C. and Candia, J. and Jennings, L. L. and Pietzner, M. and Lathrop, M. and Lopez, O. L. and Redmond, P. and Gerszten, R. E. and Rich, S. S. and Heckbert, S. R. and Austin, T. R. and Hughes, T. M. and Tanaka, T. and Emilsson, V. and Vasan, R. S. and Guo, X. and Zhu, Y. and Tzourio, C. and Rotter, J. I. and Walker, K. A. and Ferrucci, L. and ki, M. and Breteler, M. M. B. and Cox, S. R. and Debette, S. and Mosley, T. H. and Gudnason, V. G. and Launer, L. J. and Psaty, B. M. and Seshadri, S. and Fornage, M.}
}
@article {9644,
	title = {{A genetic association study of circulating coagulation Factor VIII and von Willebrand Factor levels},
	journal = {Blood},
	year = {2024},
	month = {Feb},
	abstract = {10-9) at seven new loci for FVIII (ST3GAL4, CLEC4M, B3GNT2, ASGR1, F12, KNG1, and TREM1/NCR2) and one for VWF (B3GNT2). VWF, ABO, and STAB2 were associated with FVIII and VWF in gene-based analyses. Multi-phenotype analysis of FVIII and VWF identified another three new loci, including PDIA3. Silencing of B3GNT2 and the previously reported CD36 gene decreased release of FVIII by HLECs, while silencing of B3GNT2, CD36, and PDIA3 decreased release of VWF by HVECs. Mendelian randomization supports causal association of higher FVIII and VWF with increased risk of thrombotic outcomes. Seven new loci were identified for FVIII and one for VWF, with evidence supporting causal associations of FVIII and VWF with thrombotic outcomes. B3GNT2, CD36, and PDIA3 modulate the release of FVIII and/or VWF in vitro.},
	author = {de Vries, P. S. and Reventun, P. and Brown, M. R. and Heath, A. S. and Huffman, J. E. and Le, N. Q. and Bebo, A. and Brody, J. A. and Temprano-Sagrera, G. and Raffield, L. M. and Ozel, A. B. and Thibord, F. and Jain, D. and Lewis, J. P. and Rodriguez, B. A. T. and Pankratz, N. and Taylor, K. D. and Polasek, O. and Chen, M. H. and Yanek, L. R. and Carrasquilla, G. D. and Marioni, R. and Kleber, M. E. and t, D. A. and Yao, J. and Li-Gao, R. and Joshi, P. K. and Trompet, S. and Martinez-Perez, A. and Ghanbari, M. and Howard, T. E. and Reiner, A. P. and Arvanitis, M. and Ryan, K. A. and Bartz, T. M. and Rudan, I. and Faraday, N. and Linneberg, A. and Ekunwe, L. and Davies, G. and Delgado, G. E. and Suchon, P. and Guo, X. and Rosendaal, F. R. and Klaric, L. and Noordam, R. and van Rooij, F. and Curran, J. E. and Wheeler, M. M. and Osburn, W. O. and O{\textquoteright}Connell, J. R. and Boerwinkle, E. and Beswick, A. and Psaty, B. M. and Kolcic, I. and Souto, J. C. and Becker, L. C. and Hansen, T. and Doyle, M. F. and Harris, S. E. and Moissl, A. P. and Deleuze, J. F. and Rich, S. S. and van Hylckama Vlieg, A. and Campbell, H. and Stott, D. J. and Soria, J. M. and de Maat, M. P. M. and Almasy, L. and Brody, L. C. and Auer, P. L. and Mitchell, B. D. and Ben-Shlomo, Y. and Fornage, M. and Hayward, C. and Mathias, R. A. and inen, T. O. and Lange, L. A. and Cox, S. R. and rz, W. and Morange, P. E. and Rotter, J. I. and Mook-Kanamori, D. O. and Wilson, J. F. and van der Harst, P. and Jukema, J. W. and Ikram, M. A. and Blangero, J. and Kooperberg, C. and Desch, K. C. and Johnson, A. D. and Sabater-Lleal, M. and Lowenstein, C. J. and Smith, N. L. and Morrison, A. C.}
}
@article {9576,
	title = {{Genome-wide association study of preserved ratio impaired spirometry (PRISm)},
	journal = {Eur Respir J},
	volume = {63},
	year = {2024},
	month = {Jan},
	abstract = {{0.70. PRISm is associated with respiratory symptoms and comorbidities. Our objective was to discover novel genetic signals for PRISm and see if they provide insight into the pathogenesis of PRISm and associated comorbidities.\ We undertook a genome-wide association study (GWAS) of PRISm in UK Biobank participants (Stage 1), and selected single nucleotide polymorphisms (SNPs) reaching genome-wide significance for replication in 13 cohorts (Stage 2). A combined meta-analysis of Stage 1 and Stage 2 was done to determine top SNPs. We used cross-trait linkage disequilibrium score regression to estimate genome-wide genetic correlation between PRISm and pulmonary and extrapulmonary traits. Phenome-wide association studies of top SNPs were performed.\ =0.12},
	author = {Higbee, D. H. and Lirio, A. and Hamilton, F. and Granell, R. and Wyss, A. B. and London, S. J. and Bartz, T. M. and Gharib, S. A. and Cho, M. H. and Wan, E. and Silverman, E. and Crapo, J. D. and Lominchar, J. V. T. and Hansen, T. and Grarup, N. and Dantoft, T. and rhus, L. and Linneberg, A. and O{\textquoteright}Connor, G. T. and Dupuis, J. and Xu, H. and De Vries, M. M. and Hu, X. and Rich, S. S. and Barr, R. G. and Manichaikul, A. and Wijnant, S. R. A. and Brusselle, G. G. and Lahousse, L. and Li, X. and ndez Cordero, A. I. and Obeidat, M. and Sin, D. D. and Harris, S. E. and Redmond, P. and Taylor, A. M. and Cox, S. R. and Williams, A. T. and Shrine, N. and John, C. and Guyatt, A. L. and Hall, I. P. and Davey Smith, G. and Tobin, M. D. and Dodd, J. W.}
}
@article {9863,
	title = {{Multi-ancestry genome-wide association study reveals novel genetic signals for lung function decline},
	journal = {medRxiv},
	year = {2024},
	month = {Nov},
	abstract = {Accelerated decline in lung function contributes to the development of chronic respiratory disease. Despite evidence for a genetic component, few genetic associations with lung function decline have been identified.\ To evaluate genome-wide associations and putative downstream functionality of genetic variants with lung function decline in diverse general population cohorts.\ /FVC) in participants across six cohorts in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the UK Biobank. Genotypes were imputed to TOPMed (CHARGE cohorts) or Haplotype Reference Consortium (HRC) (UK Biobank) reference panels, and GWAS analyses used generalized estimating equation models with robust standard error. Models were stratified by cohort, ancestry, and sex, and adjusted for important lung function confounders and genotype principal components. Results were combined in cross-ancestry and ancestry-specific meta-analyses. Selected top variants were tested for replication in two independent COPD-enriched cohorts.\ ) with consistent associations across ancestries or decline phenotypes. Annotation class analysis revealed significant enrichment of several regulatory processes for corticosteroid biosynthesis and metabolism. Drug repurposing analysis identified 43 approved compounds targeting eight of the implicated 38 genes.\ Our multi-ancestry GWAS meta-analyses identified numerous genetic loci associated with lung function decline. These findings contribute knowledge to the genetic architecture of lung function decline, provide evidence for a role of endogenous corticosteroids in the etiology of lung function decline, and identify drug targets that merit further study for potential repurposing to slow lung function decline and treat lung disease.},
	author = {Patchen, B. K. and Zhang, J. and Gaddis, N. and Bartz, T. M. and Chen, J. and Debban, C. and Leonard, H. and Nguyen, N. Q. and Seo, J. and Tern, C. and Allen, R. and DeMeo, D. L. and Fornage, M. and Melbourne, C. and Minto, M. and Moll, M. and O{\textquoteright}Connor, G. and Pottinger, T. and Psaty, B. M. and Rich, S. S. and Rotter, J. I. and Silverman, E. K. and Stratford, J. and Graham Barr, R. and Cho, M. H. and Gharib, S. A. and Manichaikul, A. and North, K. and Oelsner, E. C. and Simonsick, E. M. and Tobin, M. D. and Yu, B. and Choi, S. H. and Dupuis, J. and Cassano, P. A. and Hancock, D. B.}
}
