TY - JOUR T1 - Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium. JF - EBioMedicine Y1 - 2021 A1 - Lin, Bridget M A1 - Grinde, Kelsey E A1 - Brody, Jennifer A A1 - Breeze, Charles E A1 - Raffield, Laura M A1 - Mychaleckyj, Josyf C A1 - Thornton, Timothy A A1 - Perry, James A A1 - Baier, Leslie J A1 - de Las Fuentes, Lisa A1 - Guo, Xiuqing A1 - Heavner, Benjamin D A1 - Hanson, Robert L A1 - Hung, Yi-Jen A1 - Qian, Huijun A1 - Hsiung, Chao A A1 - Hwang, Shih-Jen A1 - Irvin, Margaret R A1 - Jain, Deepti A1 - Kelly, Tanika N A1 - Kobes, Sayuko A1 - Lange, Leslie A1 - Lash, James P A1 - Li, Yun A1 - Liu, Xiaoming A1 - Mi, Xuenan A1 - Musani, Solomon K A1 - Papanicolaou, George J A1 - Parsa, Afshin A1 - Reiner, Alex P A1 - Salimi, Shabnam A1 - Sheu, Wayne H-H A1 - Shuldiner, Alan R A1 - Taylor, Kent D A1 - Smith, Albert V A1 - Smith, Jennifer A A1 - Tin, Adrienne A1 - Vaidya, Dhananjay A1 - Wallace, Robert B A1 - Yamamoto, Kenichi A1 - Sakaue, Saori A1 - Matsuda, Koichi A1 - Kamatani, Yoichiro A1 - Momozawa, Yukihide A1 - Yanek, Lisa R A1 - Young, Betsi A A1 - Zhao, Wei A1 - Okada, Yukinori A1 - Abecasis, Gonzalo A1 - Psaty, Bruce M A1 - Arnett, Donna K A1 - Boerwinkle, Eric A1 - Cai, Jianwen A1 - Yii-Der Chen, Ida A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - He, Jiang A1 - Kardia, Sharon Lr A1 - Kooperberg, Charles A1 - Mathias, Rasika A A1 - Mitchell, Braxton D A1 - Nickerson, Deborah A A1 - Turner, Steve T A1 - Vasan, Ramachandran S A1 - Rotter, Jerome I A1 - Levy, Daniel A1 - Kramer, Holly J A1 - Köttgen, Anna A1 - Rich, Stephen S A1 - Lin, Dan-Yu A1 - Browning, Sharon R A1 - Franceschini, Nora AB -

BACKGROUND: Genetic factors that influence kidney traits have been understudied for low frequency and ancestry-specific variants.

METHODS: We combined whole genome sequencing (WGS) data from 23,732 participants from 10 NHLBI Trans-Omics for Precision Medicine (TOPMed) Program multi-ethnic studies to identify novel loci for estimated glomerular filtration rate (eGFR). Participants included European, African, East Asian, and Hispanic ancestries. We applied linear mixed models using a genetic relationship matrix estimated from the WGS data and adjusted for age, sex, study, and ethnicity.

FINDINGS: When testing single variants, we identified three novel loci driven by low frequency variants more commonly observed in non-European ancestry (PRKAA2, rs180996919, minor allele frequency [MAF] 0.04%, P = 6.1 × 10; METTL8, rs116951054, MAF 0.09%, P = 4.5 × 10; and MATK, rs539182790, MAF 0.05%, P = 3.4 × 10). We also replicated two known loci for common variants (rs2461702, MAF=0.49, P = 1.2 × 10, nearest gene GATM, and rs71147340, MAF=0.34, P = 3.3 × 10, CDK12). Testing aggregated variants within a gene identified the MAF gene. A statistical approach based on local ancestry helped to identify replication samples for ancestry-specific variants.

INTERPRETATION: This study highlights challenges in studying variants influencing kidney traits that are low frequency in populations and more common in non-European ancestry.

VL - 63 ER - TY - JOUR T1 - Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension. JF - Hypertension Y1 - 2022 A1 - Kelly, Tanika N A1 - Sun, Xiao A1 - He, Karen Y A1 - Brown, Michael R A1 - Taliun, Sarah A Gagliano A1 - Hellwege, Jacklyn N A1 - Irvin, Marguerite R A1 - Mi, Xuenan A1 - Brody, Jennifer A A1 - Franceschini, Nora A1 - Guo, Xiuqing A1 - Hwang, Shih-Jen A1 - de Vries, Paul S A1 - Gao, Yan A1 - Moscati, Arden A1 - Nadkarni, Girish N A1 - Yanek, Lisa R A1 - Elfassy, Tali A1 - Smith, Jennifer A A1 - Chung, Ren-Hua A1 - Beitelshees, Amber L A1 - Patki, Amit A1 - Aslibekyan, Stella A1 - Blobner, Brandon M A1 - Peralta, Juan M A1 - Assimes, Themistocles L A1 - Palmas, Walter R A1 - Liu, Chunyu A1 - Bress, Adam P A1 - Huang, Zhijie A1 - Becker, Lewis C A1 - Hwa, Chii-Min A1 - O'Connell, Jeffrey R A1 - Carlson, Jenna C A1 - Warren, Helen R A1 - Das, Sayantan A1 - Giri, Ayush A1 - Martin, Lisa W A1 - Craig Johnson, W A1 - Fox, Ervin R A1 - Bottinger, Erwin P A1 - Razavi, Alexander C A1 - Vaidya, Dhananjay A1 - Chuang, Lee-Ming A1 - Chang, Yen-Pei C A1 - Naseri, Take A1 - Jain, Deepti A1 - Kang, Hyun Min A1 - Hung, Adriana M A1 - Srinivasasainagendra, Vinodh A1 - Snively, Beverly M A1 - Gu, Dongfeng A1 - Montasser, May E A1 - Reupena, Muagututi'a Sefuiva A1 - Heavner, Benjamin D A1 - LeFaive, Jonathon A1 - Hixson, James E A1 - Rice, Kenneth M A1 - Wang, Fei Fei A1 - Nielsen, Jonas B A1 - Huang, Jianfeng A1 - Khan, Alyna T A1 - Zhou, Wei A1 - Nierenberg, Jovia L A1 - Laurie, Cathy C A1 - Armstrong, Nicole D A1 - Shi, Mengyao A1 - Pan, Yang A1 - Stilp, Adrienne M A1 - Emery, Leslie A1 - Wong, Quenna A1 - Hawley, Nicola L A1 - Minster, Ryan L A1 - Curran, Joanne E A1 - Munroe, Patricia B A1 - Weeks, Daniel E A1 - North, Kari E A1 - Tracy, Russell P A1 - Kenny, Eimear E A1 - Shimbo, Daichi A1 - Chakravarti, Aravinda A1 - Rich, Stephen S A1 - Reiner, Alex P A1 - Blangero, John A1 - Redline, Susan A1 - Mitchell, Braxton D A1 - Rao, Dabeeru C A1 - Ida Chen, Yii-Der A1 - Kardia, Sharon L R A1 - Kaplan, Robert C A1 - Mathias, Rasika A A1 - He, Jiang A1 - Psaty, Bruce M A1 - Fornage, Myriam A1 - Loos, Ruth J F A1 - Correa, Adolfo A1 - Boerwinkle, Eric A1 - Rotter, Jerome I A1 - Kooperberg, Charles A1 - Edwards, Todd L A1 - Abecasis, Goncalo R A1 - Zhu, Xiaofeng A1 - Levy, Daniel A1 - Arnett, Donna K A1 - Morrison, Alanna C AB -

BACKGROUND: The availability of whole-genome sequencing data in large studies has enabled the assessment of coding and noncoding variants across the allele frequency spectrum for their associations with blood pressure.

METHODS: We conducted a multiancestry whole-genome sequencing analysis of blood pressure among 51 456 Trans-Omics for Precision Medicine and Centers for Common Disease Genomics program participants (stage-1). Stage-2 analyses leveraged array data from UK Biobank (N=383 145), Million Veteran Program (N=318 891), and Reasons for Geographic and Racial Differences in Stroke (N=10 643) participants, along with whole-exome sequencing data from UK Biobank (N=199 631) participants.

RESULTS: Two blood pressure signals achieved genome-wide significance in meta-analyses of stage-1 and stage-2 single variant findings (<5×10). Among them, a rare intergenic variant at novel locus, , was associated with lower systolic blood pressure in stage-1 (beta [SE]=-32.6 [6.0]; =4.99×10) but not stage-2 analysis (=0.11). Furthermore, a novel common variant at the known locus was suggestively associated with diastolic blood pressure in stage-1 (beta [SE]=-0.36 [0.07]; =4.18×10) and attained genome-wide significance in stage-2 (beta [SE]=-0.29 [0.03]; =7.28×10). Nineteen additional signals suggestively associated with blood pressure in meta-analysis of single and aggregate rare variant findings (<1×10 and <1×10, respectively).

DISCUSSION: We report one promising but unconfirmed rare variant for blood pressure and, more importantly, contribute insights for future blood pressure sequencing studies. Our findings suggest promise of aggregate analyses to complement single variant analysis strategies and the need for larger, diverse samples, and family studies to enable robust rare variant identification.

ER - TY - JOUR T1 - Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. JF - Am J Hum Genet Y1 - 2022 A1 - Hindy, George A1 - Dornbos, Peter A1 - Chaffin, Mark D A1 - Liu, Dajiang J A1 - Wang, Minxian A1 - Selvaraj, Margaret Sunitha A1 - Zhang, David A1 - Park, Joseph A1 - Aguilar-Salinas, Carlos A A1 - Antonacci-Fulton, Lucinda A1 - Ardissino, Diego A1 - Arnett, Donna K A1 - Aslibekyan, Stella A1 - Atzmon, Gil A1 - Ballantyne, Christie M A1 - Barajas-Olmos, Francisco A1 - Barzilai, Nir A1 - Becker, Lewis C A1 - Bielak, Lawrence F A1 - Bis, Joshua C A1 - Blangero, John A1 - Boerwinkle, Eric A1 - Bonnycastle, Lori L A1 - Bottinger, Erwin A1 - Bowden, Donald W A1 - Bown, Matthew J A1 - Brody, Jennifer A A1 - Broome, Jai G A1 - Burtt, Noel P A1 - Cade, Brian E A1 - Centeno-Cruz, Federico A1 - Chan, Edmund A1 - Chang, Yi-Cheng A1 - Chen, Yii-der I A1 - Cheng, Ching-Yu A1 - Choi, Won Jung A1 - Chowdhury, Rajiv A1 - Contreras-Cubas, Cecilia A1 - Córdova, Emilio J A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - Curran, Joanne E A1 - Danesh, John A1 - de Vries, Paul S A1 - DeFronzo, Ralph A A1 - Doddapaneni, Harsha A1 - Duggirala, Ravindranath A1 - Dutcher, Susan K A1 - Ellinor, Patrick T A1 - Emery, Leslie S A1 - Florez, Jose C A1 - Fornage, Myriam A1 - Freedman, Barry I A1 - Fuster, Valentin A1 - Garay-Sevilla, Ma Eugenia A1 - García-Ortiz, Humberto A1 - Germer, Soren A1 - Gibbs, Richard A A1 - Gieger, Christian A1 - Glaser, Benjamin A1 - Gonzalez, Clicerio A1 - Gonzalez-Villalpando, Maria Elena A1 - Graff, Mariaelisa A1 - Graham, Sarah E A1 - Grarup, Niels A1 - Groop, Leif C A1 - Guo, Xiuqing A1 - Gupta, Namrata A1 - Han, Sohee A1 - Hanis, Craig L A1 - Hansen, Torben A1 - He, Jiang A1 - Heard-Costa, Nancy L A1 - Hung, Yi-Jen A1 - Hwang, Mi Yeong A1 - Irvin, Marguerite R A1 - Islas-Andrade, Sergio A1 - Jarvik, Gail P A1 - Kang, Hyun Min A1 - Kardia, Sharon L R A1 - Kelly, Tanika A1 - Kenny, Eimear E A1 - Khan, Alyna T A1 - Kim, Bong-Jo A1 - Kim, Ryan W A1 - Kim, Young Jin A1 - Koistinen, Heikki A A1 - Kooperberg, Charles A1 - Kuusisto, Johanna A1 - Kwak, Soo Heon A1 - Laakso, Markku A1 - Lange, Leslie A A1 - Lee, Jiwon A1 - Lee, Juyoung A1 - Lee, Seonwook A1 - Lehman, Donna M A1 - Lemaitre, Rozenn N A1 - Linneberg, Allan A1 - Liu, Jianjun A1 - Loos, Ruth J F A1 - Lubitz, Steven A A1 - Lyssenko, Valeriya A1 - Ma, Ronald C W A1 - Martin, Lisa Warsinger A1 - Martínez-Hernández, Angélica A1 - Mathias, Rasika A A1 - McGarvey, Stephen T A1 - McPherson, Ruth A1 - Meigs, James B A1 - Meitinger, Thomas A1 - Melander, Olle A1 - Mendoza-Caamal, Elvia A1 - Metcalf, Ginger A A1 - Mi, Xuenan A1 - Mohlke, Karen L A1 - Montasser, May E A1 - Moon, Jee-Young A1 - Moreno-Macias, Hortensia A1 - Morrison, Alanna C A1 - Muzny, Donna M A1 - Nelson, Sarah C A1 - Nilsson, Peter M A1 - O'Connell, Jeffrey R A1 - Orho-Melander, Marju A1 - Orozco, Lorena A1 - Palmer, Colin N A A1 - Palmer, Nicholette D A1 - Park, Cheol Joo A1 - Park, Kyong Soo A1 - Pedersen, Oluf A1 - Peralta, Juan M A1 - Peyser, Patricia A A1 - Post, Wendy S A1 - Preuss, Michael A1 - Psaty, Bruce M A1 - Qi, Qibin A1 - Rao, D C A1 - Redline, Susan A1 - Reiner, Alexander P A1 - Revilla-Monsalve, Cristina A1 - Rich, Stephen S A1 - Samani, Nilesh A1 - Schunkert, Heribert A1 - Schurmann, Claudia A1 - Seo, Daekwan A1 - Seo, Jeong-Sun A1 - Sim, Xueling A1 - Sladek, Rob A1 - Small, Kerrin S A1 - So, Wing Yee A1 - Stilp, Adrienne M A1 - Tai, E Shyong A1 - Tam, Claudia H T A1 - Taylor, Kent D A1 - Teo, Yik Ying A1 - Thameem, Farook A1 - Tomlinson, Brian A1 - Tsai, Michael Y A1 - Tuomi, Tiinamaija A1 - Tuomilehto, Jaakko A1 - Tusié-Luna, Teresa A1 - Udler, Miriam S A1 - van Dam, Rob M A1 - Vasan, Ramachandran S A1 - Viaud Martinez, Karine A A1 - Wang, Fei Fei A1 - Wang, Xuzhi A1 - Watkins, Hugh A1 - Weeks, Daniel E A1 - Wilson, James G A1 - Witte, Daniel R A1 - Wong, Tien-Yin A1 - Yanek, Lisa R A1 - Kathiresan, Sekar A1 - Rader, Daniel J A1 - Rotter, Jerome I A1 - Boehnke, Michael A1 - McCarthy, Mark I A1 - Willer, Cristen J A1 - Natarajan, Pradeep A1 - Flannick, Jason A A1 - Khera, Amit V A1 - Peloso, Gina M KW - Alleles KW - Blood Glucose KW - Case-Control Studies KW - Computational Biology KW - Databases, Genetic KW - Diabetes Mellitus, Type 2 KW - Exome KW - Genetic Predisposition to Disease KW - Genetic Variation KW - Genetics, Population KW - Genome-Wide Association Study KW - Humans KW - Lipid Metabolism KW - Lipids KW - Liver KW - Molecular Sequence Annotation KW - Multifactorial Inheritance KW - Open Reading Frames KW - Phenotype KW - Polymorphism, Single Nucleotide AB -

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.

VL - 109 IS - 1 ER - TY - JOUR T1 - Whole-Exome Sequencing Study Identifies Four Novel Gene Loci Associated with Diabetic Kidney Disease. JF - Hum Mol Genet Y1 - 2022 A1 - Pan, Yang A1 - Sun, Xiao A1 - Mi, Xuenan A1 - Huang, Zhijie A1 - Hsu, Yenchih A1 - Hixson, James E A1 - Munzy, Donna A1 - Metcalf, Ginger A1 - Franceschini, Nora A1 - Tin, Adrienne A1 - Köttgen, Anna A1 - Francis, Michael A1 - Brody, Jennifer A A1 - Kestenbaum, Bryan A1 - Sitlani, Colleen M A1 - Mychaleckyj, Josyf C A1 - Kramer, Holly A1 - Lange, Leslie A A1 - Guo, Xiuqing A1 - Hwang, Shih-Jen A1 - Irvin, Marguerite R A1 - Smith, Jennifer A A1 - Yanek, Lisa R A1 - Vaidya, Dhananjay A1 - Chen, Yii-Der Ida A1 - Fornage, Myriam A1 - Lloyd-Jones, Donald M A1 - Hou, Lifang A1 - Mathias, Rasika A A1 - Mitchell, Braxton D A1 - Peyser, Patricia A A1 - Kardia, Sharon L R A1 - Arnett, Donna K A1 - Correa, Adolfo A1 - Raffield, Laura M A1 - Vasan, Ramachandran S A1 - Cupple, L Adrienne A1 - Levy, Daniel A1 - Kaplan, Robert C A1 - North, Kari E A1 - Rotter, Jerome I A1 - Kooperberg, Charles A1 - Reiner, Alexander P A1 - Psaty, Bruce M A1 - Tracy, Russell P A1 - Gibbs, Richard A A1 - Morrison, Alanna C A1 - Feldman, Harold A1 - Boerwinkle, Eric A1 - He, Jiang A1 - Kelly, Tanika N AB -

Diabetic kidney disease (DKD) is recognized as an important public health challenge. However, its genomic mechanisms are poorly understood. To identify rare variants for DKD, we conducted a whole-exome sequencing (WES) study leveraging large cohorts well-phenotyped for chronic kidney disease (CKD) and diabetes. Our two-stage whole-exome sequencing study included 4372 European and African ancestry participants from the Chronic Renal Insufficiency Cohort (CRIC) and Atherosclerosis Risk in Communities (ARIC) studies (stage-1) and 11 487 multi-ancestry Trans-Omics for Precision Medicine (TOPMed) participants (stage-2). Generalized linear mixed models, which accounted for genetic relatedness and adjusted for age, sex, and ancestry, were used to test associations between single variants and DKD. Gene-based aggregate rare variant analyses were conducted using an optimized sequence kernel association test (SKAT-O) implemented within our mixed model framework. We identified four novel exome-wide significant DKD-related loci through initiating diabetes. In single variant analyses, participants carrying a rare, in-frame insertion in the DIS3L2 gene (rs141560952) exhibited a 193-fold increased odds (95% confidence interval: 33.6, 1105) of DKD compared with non-carriers (P = 3.59 × 10-9). Likewise, each copy of a low-frequency KRT6B splice-site variant (rs425827) conferred a 5.31-fold higher odds (95% confidence interval: 3.06, 9.21) of DKD (P = 2.72 × 10-9). Aggregate gene-based analyses further identified ERAP2 (P = 4.03 × 10-8) and NPEPPS (P = 1.51 × 10-7), which are both expressed in the kidney and implicated in renin-angiotensin-aldosterone system modulated immune response. In the largest WES study of DKD, we identified novel rare variant loci attaining exome-wide significance. These findings provide new insights into the molecular mechanisms underlying DKD.

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