@article {1387, title = {Evolution and functional impact of rare coding variation from deep sequencing of human exomes.}, journal = {Science}, volume = {337}, year = {2012}, month = {2012 Jul 06}, pages = {64-9}, abstract = {

As a first step toward understanding how rare variants contribute to risk for complex diseases, we sequenced 15,585 human protein-coding genes to an average median depth of 111{\texttimes} in 2440 individuals of European (n = 1351) and African (n = 1088) ancestry. We identified over 500,000 single-nucleotide variants (SNVs), the majority of which were rare (86\% with a minor allele frequency less than 0.5\%), previously unknown (82\%), and population-specific (82\%). On average, 2.3\% of the 13,595 SNVs each person carried were predicted to affect protein function of ~313 genes per genome, and ~95.7\% of SNVs predicted to be functionally important were rare. This excess of rare functional variants is due to the combined effects of explosive, recent accelerated population growth and weak purifying selection. Furthermore, we show that large sample sizes will be required to associate rare variants with complex traits.

}, keywords = {African Americans, Disease, European Continental Ancestry Group, Evolution, Molecular, Exome, Female, Gene Frequency, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Genome, Human, High-Throughput Nucleotide Sequencing, Humans, Male, Polymorphism, Single Nucleotide, Population Growth, Selection, Genetic}, issn = {1095-9203}, doi = {10.1126/science.1219240}, author = {Tennessen, Jacob A and Bigham, Abigail W and O{\textquoteright}Connor, Timothy D and Fu, Wenqing and Kenny, Eimear E and Gravel, Simon and McGee, Sean and Do, Ron and Liu, Xiaoming and Jun, Goo and Kang, Hyun Min and Jordan, Daniel and Leal, Suzanne M and Gabriel, Stacey and Rieder, Mark J and Abecasis, Goncalo and Altshuler, David and Nickerson, Deborah A and Boerwinkle, Eric and Sunyaev, Shamil and Bustamante, Carlos D and Bamshad, Michael J and Akey, Joshua M} } @article {6283, title = {Whole-genome sequence-based analysis of high-density lipoprotein cholesterol.}, journal = {Nat Genet}, volume = {45}, year = {2013}, month = {2013 Aug}, pages = {899-901}, abstract = {

We describe initial steps for interrogating whole-genome sequence data to characterize the genetic architecture of a complex trait, levels of high-density lipoprotein cholesterol (HDL-C). We report whole-genome sequencing and analysis of 962 individuals from the Cohorts for Heart and Aging Research in Genetic Epidemiology (CHARGE) studies. From this analysis, we estimate that common variation contributes more to heritability of HDL-C levels than rare variation, and screening for mendelian variants for dyslipidemia identified individuals with extreme HDL-C levels. Whole-genome sequencing analyses highlight the value of regulatory and non-protein-coding regions of the genome in addition to protein-coding regions.

}, keywords = {Cholesterol, HDL, Computational Biology, Databases, Genetic, Genetic Variation, Genome, Human, Genome-Wide Association Study, Genomics, Heterozygote, Humans, Open Reading Frames}, issn = {1546-1718}, doi = {10.1038/ng.2671}, author = {Morrison, Alanna C and Voorman, Arend and Johnson, Andrew D and Liu, Xiaoming and Yu, Jin and Li, Alexander and Muzny, Donna and Yu, Fuli and Rice, Kenneth and Zhu, Chengsong and Bis, Joshua and Heiss, Gerardo and O{\textquoteright}Donnell, Christopher J and Psaty, Bruce M and Cupples, L Adrienne and Gibbs, Richard and Boerwinkle, Eric} } @article {6548, title = {Associations of NINJ2 sequence variants with incident ischemic stroke in the Cohorts for Heart and Aging in Genomic Epidemiology (CHARGE) consortium.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e99798}, abstract = {

BACKGROUND: Stroke, the leading neurologic cause of death and disability, has a substantial genetic component. We previously conducted a genome-wide association study (GWAS) in four prospective studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and demonstrated that sequence variants near the NINJ2 gene are associated with incident ischemic stroke. Here, we sought to fine-map functional variants in the region and evaluate the contribution of rare variants to ischemic stroke risk.

METHODS AND RESULTS: We sequenced 196 kb around NINJ2 on chromosome 12p13 among 3,986 European ancestry participants, including 475 ischemic stroke cases, from the Atherosclerosis Risk in Communities Study, Cardiovascular Health Study, and Framingham Heart Study. Meta-analyses of single-variant tests for 425 common variants (minor allele frequency [MAF] >= 1\%) confirmed the original GWAS results and identified an independent intronic variant, rs34166160 (MAF = 0.012), most significantly associated with incident ischemic stroke (HR = 1.80, p = 0.0003). Aggregating 278 putatively-functional variants with MAF<= 1\% using count statistics, we observed a nominally statistically significant association, with the burden of rare NINJ2 variants contributing to decreased ischemic stroke incidence (HR = 0.81; p = 0.026).

CONCLUSION: Common and rare variants in the NINJ2 region were nominally associated with incident ischemic stroke among a subset of CHARGE participants. Allelic heterogeneity at this locus, caused by multiple rare, low frequency, and common variants with disparate effects on risk, may explain the difficulties in replicating the original GWAS results. Additional studies that take into account the complex allelic architecture at this locus are needed to confirm these findings.

}, keywords = {Cell Adhesion Molecules, Neuronal, European Continental Ancestry Group, Female, Genetic Association Studies, Genetic Heterogeneity, Humans, Introns, Ischemia, Male, Myocardial Infarction, Polymorphism, Single Nucleotide, Prospective Studies, Sequence Analysis, DNA}, issn = {1932-6203}, doi = {10.1371/journal.pone.0099798}, author = {Bis, Joshua C and DeStefano, Anita and Liu, Xiaoming and Brody, Jennifer A and Choi, Seung Hoan and Verhaaren, Benjamin F J and Debette, Stephanie and Ikram, M Arfan and Shahar, Eyal and Butler, Kenneth R and Gottesman, Rebecca F and Muzny, Donna and Kovar, Christie L and Psaty, Bruce M and Hofman, Albert and Lumley, Thomas and Gupta, Mayetri and Wolf, Philip A and van Duijn, Cornelia and Gibbs, Richard A and Mosley, Thomas H and Longstreth, W T and Boerwinkle, Eric and Seshadri, Sudha and Fornage, Myriam} } @article {6547, title = {Sequencing of 2 subclinical atherosclerosis candidate regions in 3669 individuals: Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Jun}, pages = {359-64}, abstract = {

BACKGROUND: Atherosclerosis, the precursor to coronary heart disease and stroke, is characterized by an accumulation of fatty cells in the arterial intimal-medial layers. Common carotid intima media thickness (cIMT) and plaque are subclinical atherosclerosis measures that predict cardiovascular disease events. Previously, genome-wide association studies demonstrated evidence for association with cIMT (SLC17A4) and plaque (PIK3CG).

METHODS AND RESULTS: We sequenced 120 kb around SLC17A4 (6p22.2) and 251 kb around PIK3CG (7q22.3) among 3669 European ancestry participants from the Atherosclerosis Risk in Communities (ARIC) study, Cardiovascular Health Study (CHS), and Framingham Heart Study (FHS) in Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. Primary analyses focused on 438 common variants (minor allele frequency >=1\%), which were independently meta-analyzed. A 3{\textquoteright} untranslated region CCDC71L variant (rs2286149), upstream from PIK3CG, was the most significant finding in cIMT (P=0.00033) and plaque (P=0.0004) analyses. A SLC17A4 intronic variant was also associated with cIMT (P=0.008). Both were in low linkage disequilibrium with the genome-wide association study single nucleotide polymorphisms. Gene-based tests including T1 count and sequence kernel association test for rare variants (minor allele frequency <1\%) did not yield statistically significant associations. However, we observed nominal associations for rare variants in CCDC71L and SLC17A3 with cIMT and of the entire 7q22 region with plaque (P=0.05).

CONCLUSIONS: Common and rare variants in PIK3CG and SLC17A4 regions demonstrated modest association with subclinical atherosclerosis traits. Although not conclusive, these findings may help to understand the genetic architecture of regions previously implicated by genome-wide association studies and identify variants within these regions for further investigation in larger samples.

}, keywords = {Aged, Aged, 80 and over, Aging, Atherosclerosis, Class Ib Phosphatidylinositol 3-Kinase, Cohort Studies, European Continental Ancestry Group, Female, Genetic Variation, Genome-Wide Association Study, Genomics, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Sequence Analysis, DNA, Sodium-Phosphate Cotransporter Proteins, Type I}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000116}, author = {Bis, Joshua C and White, Charles C and Franceschini, Nora and Brody, Jennifer and Zhang, Xiaoling and Muzny, Donna and Santibanez, Jireh and Gibbs, Richard and Liu, Xiaoming and Lin, Honghuang and Boerwinkle, Eric and Psaty, Bruce M and North, Kari E and Cupples, L Adrienne and O{\textquoteright}Donnell, Christopher J} } @article {6578, title = {Strategies to design and analyze targeted sequencing data: cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study.}, journal = {Circ Cardiovasc Genet}, volume = {7}, year = {2014}, month = {2014 Jun}, pages = {335-43}, abstract = {

BACKGROUND: Genome-wide association studies have identified thousands of genetic variants that influence a variety of diseases and health-related quantitative traits. However, the causal variants underlying the majority of genetic associations remain unknown. Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study aims to follow up genome-wide association study signals and identify novel associations of the allelic spectrum of identified variants with cardiovascular-related traits.

METHODS AND RESULTS: The study included 4231 participants from 3 CHARGE cohorts: the Atherosclerosis Risk in Communities Study, the Cardiovascular Health Study, and the Framingham Heart Study. We used a case-cohort design in which we selected both a random sample of participants and participants with extreme phenotypes for each of 14 traits. We sequenced and analyzed 77 genomic loci, which had previously been associated with >=1 of 14 phenotypes. A total of 52 736 variants were characterized by sequencing and passed our stringent quality control criteria. For common variants (minor allele frequency >=1\%), we performed unweighted regression analyses to obtain P values for associations and weighted regression analyses to obtain effect estimates that accounted for the sampling design. For rare variants, we applied 2 approaches: collapsed aggregate statistics and joint analysis of variants using the sequence kernel association test.

CONCLUSIONS: We sequenced 77 genomic loci in participants from 3 cohorts. We established a set of filters to identify high-quality variants and implemented statistical and bioinformatics strategies to analyze the sequence data and identify potentially functional variants within genome-wide association study loci.

}, keywords = {Adult, Aged, Aged, 80 and over, Aging, Cohort Studies, Female, Genetic Variation, Genome-Wide Association Study, Genomics, Heart Diseases, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Research Design, Sequence Analysis, DNA}, issn = {1942-3268}, doi = {10.1161/CIRCGENETICS.113.000350}, author = {Lin, Honghuang and Wang, Min and Brody, Jennifer A and Bis, Joshua C and Dupuis, Jos{\'e}e and Lumley, Thomas and McKnight, Barbara and Rice, Kenneth M and Sitlani, Colleen M and Reid, Jeffrey G and Bressler, Jan and Liu, Xiaoming and Davis, Brian C and Johnson, Andrew D and O{\textquoteright}Donnell, Christopher J and Kovar, Christie L and Dinh, Huyen and Wu, Yuanqing and Newsham, Irene and Chen, Han and Broka, Andi and DeStefano, Anita L and Gupta, Mayetri and Lunetta, Kathryn L and Liu, Ching-Ti and White, Charles C and Xing, Chuanhua and Zhou, Yanhua and Benjamin, Emelia J and Schnabel, Renate B and Heckbert, Susan R and Psaty, Bruce M and Muzny, Donna M and Cupples, L Adrienne and Morrison, Alanna C and Boerwinkle, Eric} } @article {6814, title = {Population genomic analysis of 962 whole genome sequences of humans reveals natural selection in non-coding regions.}, journal = {PLoS One}, volume = {10}, year = {2015}, month = {2015}, pages = {e0121644}, abstract = {

Whole genome analysis in large samples from a single population is needed to provide adequate power to assess relative strengths of natural selection across different functional components of the genome. In this study, we analyzed next-generation sequencing data from 962 European Americans, and found that as expected approximately 60\% of the top 1\% of positive selection signals lie in intergenic regions, 33\% in intronic regions, and slightly over 1\% in coding regions. Several detailed functional annotation categories in intergenic regions showed statistically significant enrichment in positively selected loci when compared to the null distribution of the genomic span of ENCODE categories. There was a significant enrichment of purifying selection signals detected in enhancers, transcription factor binding sites, microRNAs and target sites, but not on lincRNA or piRNAs, suggesting different evolutionary constraints for these domains. Loci in "repressed or low activity regions" and loci near or overlapping the transcription start site were the most significantly over-represented annotations among the top 1\% of signals for positive selection.

}, keywords = {DNA, Intergenic, Genetic Loci, Humans, Metagenomics, Open Reading Frames, Polymorphism, Single Nucleotide}, issn = {1932-6203}, doi = {10.1371/journal.pone.0121644}, author = {Yu, Fuli and Lu, Jian and Liu, Xiaoming and Gazave, Elodie and Chang, Diana and Raj, Srilakshmi and Hunter-Zinck, Haley and Blekhman, Ran and Arbiza, Leonardo and Van Hout, Cris and Morrison, Alanna and Johnson, Andrew D and Bis, Joshua and Cupples, L Adrienne and Psaty, Bruce M and Muzny, Donna and Yu, Jin and Gibbs, Richard A and Keinan, Alon and Clark, Andrew G and Boerwinkle, Eric} } @article {7553, title = {Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology.}, journal = {Nat Genet}, volume = {49}, year = {2017}, month = {2017 Oct 27}, pages = {1560-1563}, issn = {1546-1718}, doi = {10.1038/ng.3968}, author = {Brody, Jennifer A and Morrison, Alanna C and Bis, Joshua C and O{\textquoteright}Connell, Jeffrey R and Brown, Michael R and Huffman, Jennifer E and Ames, Darren C and Carroll, Andrew and Conomos, Matthew P and Gabriel, Stacey and Gibbs, Richard A and Gogarten, Stephanie M and Gupta, Namrata and Jaquish, Cashell E and Johnson, Andrew D and Lewis, Joshua P and Liu, Xiaoming and Manning, Alisa K and Papanicolaou, George J and Pitsillides, Achilleas N and Rice, Kenneth M and Salerno, William and Sitlani, Colleen M and Smith, Nicholas L and Heckbert, Susan R and Laurie, Cathy C and Mitchell, Braxton D and Vasan, Ramachandran S and Rich, Stephen S and Rotter, Jerome I and Wilson, James G and Boerwinkle, Eric and Psaty, Bruce M and Cupples, L Adrienne} } @article {8102, title = {Pharmacogenomics of statin-related myopathy: Meta-analysis of rare variants from whole-exome sequencing.}, journal = {PLoS One}, volume = {14}, year = {2019}, month = {2019}, pages = {e0218115}, abstract = {

AIMS: Statin-related myopathy (SRM), which includes rhabdomyolysis, is an uncommon but important adverse drug reaction because the number of people prescribed statins world-wide is large. Previous association studies of common genetic variants have had limited success in identifying a genetic basis for this adverse drug reaction. We conducted a multi-site whole-exome sequencing study to investigate whether rare coding variants confer an increased risk of SRM.

METHODS AND RESULTS: SRM 3-5 cases (N = 505) and statin treatment-tolerant controls (N = 2047) were recruited from multiple sites in North America and Europe. SRM 3-5 was defined as symptoms consistent with muscle injury and an elevated creatine phosphokinase level >4 times upper limit of normal without another likely cause of muscle injury. Whole-exome sequencing and variant calling was coordinated from two analysis centres, and results of single-variant and gene-based burden tests were meta-analysed. No genome-wide significant associations were identified. Given the large number of cases, we had 80\% power to identify a variant with minor allele frequency of 0.01 that increases the risk of SRM 6-fold at genome-wide significance.

CONCLUSIONS: In this large whole-exome sequencing study of severe statin-related muscle injury conducted to date, we did not find evidence that rare coding variants are responsible for this adverse drug reaction. Larger sample sizes would be required to identify rare variants with small effects, but it is unclear whether such findings would be clinically actionable.

}, issn = {1932-6203}, doi = {10.1371/journal.pone.0218115}, author = {Floyd, James S and Bloch, Katarzyna M and Brody, Jennifer A and Maroteau, Cyrielle and Siddiqui, Moneeza K and Gregory, Richard and Carr, Daniel F and Molokhia, Mariam and Liu, Xiaoming and Bis, Joshua C and Ahmed, Ammar and Liu, Xuan and Hallberg, P{\"a}r and Yue, Qun-Ying and Magnusson, Patrik K E and Brisson, Diane and Wiggins, Kerri L and Morrison, Alanna C and Khoury, Etienne and McKeigue, Paul and Stricker, Bruno H and Lapeyre-Mestre, Maryse and Heckbert, Susan R and Gallagher, Arlene M and Chinoy, Hector and Gibbs, Richard A and Bondon-Guitton, Emmanuelle and Tracy, Russell and Boerwinkle, Eric and Gaudet, Daniel and Conforti, Anita and van Staa, Tjeerd and Sitlani, Colleen M and Rice, Kenneth M and Maitland-van der Zee, Anke-Hilse and Wadelius, Mia and Morris, Andrew P and Pirmohamed, Munir and Palmer, Colin A N and Psaty, Bruce M and Alfirevic, Ana} } @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 {8664, title = {Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium.}, journal = {EBioMedicine}, volume = {63}, year = {2021}, month = {2021 Jan}, pages = {103157}, abstract = {

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~{\texttimes}~10; METTL8, rs116951054, MAF 0.09\%, P~=~4.5~{\texttimes}~10; and MATK, rs539182790, MAF 0.05\%, P~=~3.4~{\texttimes}~10). We also replicated two known loci for common variants (rs2461702, MAF=0.49, P~=~1.2~{\texttimes}~10, nearest gene GATM, and rs71147340, MAF=0.34, P~=~3.3~{\texttimes}~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.

}, issn = {2352-3964}, doi = {10.1016/j.ebiom.2020.103157}, author = {Lin, Bridget M and Grinde, Kelsey E and Brody, Jennifer A and Breeze, Charles E and Raffield, Laura M and Mychaleckyj, Josyf C and Thornton, Timothy A and Perry, James A and Baier, Leslie J and de Las Fuentes, Lisa and Guo, Xiuqing and Heavner, Benjamin D and Hanson, Robert L and Hung, Yi-Jen and Qian, Huijun and Hsiung, Chao A and Hwang, Shih-Jen and Irvin, Margaret R and Jain, Deepti and Kelly, Tanika N and Kobes, Sayuko and Lange, Leslie and Lash, James P and Li, Yun and Liu, Xiaoming and Mi, Xuenan and Musani, Solomon K and Papanicolaou, George J and Parsa, Afshin and Reiner, Alex P and Salimi, Shabnam and Sheu, Wayne H-H and Shuldiner, Alan R and Taylor, Kent D and Smith, Albert V and Smith, Jennifer A and Tin, Adrienne and Vaidya, Dhananjay and Wallace, Robert B and Yamamoto, Kenichi and Sakaue, Saori and Matsuda, Koichi and Kamatani, Yoichiro and Momozawa, Yukihide and Yanek, Lisa R and Young, Betsi A and Zhao, Wei and Okada, Yukinori and Abecasis, Gonzalo and Psaty, Bruce M and Arnett, Donna K and Boerwinkle, Eric and Cai, Jianwen and Yii-Der Chen, Ida and Correa, Adolfo and Cupples, L Adrienne and He, Jiang and Kardia, Sharon Lr and Kooperberg, Charles and Mathias, Rasika A and Mitchell, Braxton D and Nickerson, Deborah A and Turner, Steve T and Vasan, Ramachandran S and Rotter, Jerome I and Levy, Daniel and Kramer, Holly J and K{\"o}ttgen, Anna and Rich, Stephen S and Lin, Dan-Yu and Browning, Sharon R and Franceschini, Nora} }