Deepti Jain
University of Washington
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Featured researches published by Deepti Jain.
Nature Genetics | 2016
Valentina Iotchkova; Jie Huang; John A. Morris; Deepti Jain; Caterina Barbieri; Klaudia Walter; Josine L. Min; Lu Chen; William Astle; Massimilian Cocca; Patrick Deelen; Heather Elding; Aliki-Eleni Farmaki; Christopher S. Franklin; Tom R. Gaunt; Albert Hofman; Tao Jiang; Marcus E. Kleber; Genevieve Lachance; Jian'an Luan; Giovanni Malerba; Angela Matchan; Daniel Mead; Yasin Memari; Ioanna Ntalla; Kalliope Panoutsopoulou; Raha Pazoki; John Perry; Fernando Rivadeneira; Maria Sabater-Lleal
Large-scale whole-genome sequence data sets offer novel opportunities to identify genetic variation underlying human traits. Here we apply genotype imputation based on whole-genome sequence data from the UK10K and 1000 Genomes Project into 35,981 study participants of European ancestry, followed by association analysis with 20 quantitative cardiometabolic and hematological traits. We describe 17 new associations, including 6 rare (minor allele frequency (MAF) < 1%) or low-frequency (1% < MAF < 5%) variants with platelet count (PLT), red blood cell indices (MCH and MCV) and HDL cholesterol. Applying fine-mapping analysis to 233 known and new loci associated with the 20 traits, we resolve the associations of 59 loci to credible sets of 20 or fewer variants and describe trait enrichments within regions of predicted regulatory function. These findings improve understanding of the allelic architecture of risk factors for cardiometabolic and hematological diseases and provide additional functional insights with the identification of potentially novel biological targets.
Human Molecular Genetics | 2016
Jean Morrison; Cathy C. Laurie; Mary L. Marazita; Anne E. Sanders; Steven Offenbacher; Christian R. Salazar; Matthew P. Conomos; Timothy A. Thornton; Deepti Jain; Cecelia A. Laurie; Kathleen F. Kerr; George J. Papanicolaou; Kent D. Taylor; Linda M. Kaste; James D. Beck; John R. Shaffer
Dental caries is the most common chronic disease worldwide, and exhibits profound disparities in the USA with racial and ethnic minorities experiencing disproportionate disease burden. Though heritable, the specific genes influencing risk of dental caries remain largely unknown. Therefore, we performed genome-wide association scans (GWASs) for dental caries in a population-based cohort of 12 000 Hispanic/Latino participants aged 18-74 years from the HCHS/SOL. Intra-oral examinations were used to generate two common indices of dental caries experience which were tested for association with 27.7 M genotyped or imputed single-nucleotide polymorphisms separately in the six ancestry groups. A mixed-models approach was used, which adjusted for age, sex, recruitment site, five principal components of ancestry and additional features of the sampling design. Meta-analyses were used to combine GWAS results across ancestry groups. Heritability estimates ranged from 20-53% in the six ancestry groups. The most significant association observed via meta-analysis for both phenotypes was in the region of the NAMPT gene (rs190395159; P-value = 6 × 10(-10)), which is involved in many biological processes including periodontal healing. Another significant association was observed for rs72626594 (P-value = 3 × 10(-8)) downstream of BMP7, a tooth development gene. Other associations were observed in genes lacking known or plausible roles in dental caries. In conclusion, this was the largest GWAS of dental caries, to date and was the first to target Hispanic/Latino populations. Understanding the factors influencing dental caries susceptibility may lead to improvements in prediction, prevention and disease management, which may ultimately reduce the disparities in oral health across racial, ethnic and socioeconomic strata.
PLOS Genetics | 2017
Chani J. Hodonsky; Deepti Jain; Ursula M. Schick; Jean Morrison; Lisa Brown; Caitlin P. McHugh; Diane D. Chen; Yongmei Liu; Paul L. Auer; Cecilia A. Laurie; Kent D. Taylor; Brian L. Browning; Yun Li; George J. Papanicolaou; Jerome I. Rotter; Ryo Kurita; Yukio Nakamura; Sharon R. Browning; Ruth J. F. Loos; Kari E. North; Cathy C. Laurie; Timothy A. Thornton; Nathan Pankratz; Daniel E. Bauer; Tamar Sofer; Alex P. Reiner
Prior GWAS have identified loci associated with red blood cell (RBC) traits in populations of European, African, and Asian ancestry. These studies have not included individuals with an Amerindian ancestral background, such as Hispanics/Latinos, nor evaluated the full spectrum of genomic variation beyond single nucleotide variants. Using a custom genotyping array enriched for Amerindian ancestral content and 1000 Genomes imputation, we performed GWAS in 12,502 participants of Hispanic Community Health Study and Study of Latinos (HCHS/SOL) for hematocrit, hemoglobin, RBC count, RBC distribution width (RDW), and RBC indices. Approximately 60% of previously reported RBC trait loci generalized to HCHS/SOL Hispanics/Latinos, including African ancestral alpha- and beta-globin gene variants. In addition to the known 3.8kb alpha-globin copy number variant, we identified an Amerindian ancestral association in an alpha-globin regulatory region on chromosome 16p13.3 for mean corpuscular volume and mean corpuscular hemoglobin. We also discovered and replicated three genome-wide significant variants in previously unreported loci for RDW (SLC12A2 rs17764730, PSMB5 rs941718), and hematocrit (PROX1 rs3754140). Among the proxy variants at the SLC12A2 locus we identified rs3812049, located in a bi-directional promoter between SLC12A2 (which encodes a red cell membrane ion-transport protein) and an upstream anti-sense long-noncoding RNA, LINC01184, as the likely causal variant. We further demonstrate that disruption of the regulatory element harboring rs3812049 affects transcription of SLC12A2 and LINC01184 in human erythroid progenitor cells. Together, these results reinforce the importance of genetic study of diverse ancestral populations, in particular Hispanics/Latinos.
Human Genetics | 2017
Jan Graffelman; Deepti Jain; Bruce S. Weir
Statistical tests for Hardy–Weinberg equilibrium have been an important tool for detecting genotyping errors in the past, and remain important in the quality control of next generation sequence data. In this paper, we analyze complete chromosomes of the 1000 genomes project by using exact test procedures for autosomal and X-chromosomal variants. We find that the rate of disequilibrium largely exceeds what might be expected by chance alone for all chromosomes. Observed disequilibrium is, in about 60% of the cases, due to heterozygote excess. We suggest that most excess disequilibrium can be explained by sequencing problems, and hypothesize mechanisms that can explain exceptional heterozygosities. We report higher rates of disequilibrium for the MHC region on chromosome 6, regions flanking centromeres and p-arms of acrocentric chromosomes. We also detected long-range haplotypes and areas with incidental high disequilibrium. We report disequilibrium to be related to read depth, with variants having extreme read depths being more likely to be out of equilibrium. Disequilibrium rates were found to be 11 times higher in segmental duplications and simple tandem repeat regions. The variants with significant disequilibrium are seen to be concentrated in these areas. For next generation sequence data, Hardy–Weinberg disequilibrium seems to be a major indicator for copy number variation.
Journal of Dental Research | 2017
Anne E. Sanders; Deepti Jain; Tamar Sofer; Kathleen F. Kerr; Cathy C. Laurie; John R. Shaffer; Mary L. Marazita; L. M. Kaste; G. D. Slade; Roger B. Fillingim; Richard Ohrbach; William Maixner; T. Kocher; O. Bernhardt; A. Teumer; C. Schwahn; Kirsi Sipilä; Raija Lähdesmäki; Minna Männikkö; Paula Pesonen; Marjo-Riitta Järvelin; Célia Marisa Rizzatti-Barbosa; Carolina Beraldo Meloto; Margarete Ribeiro-Dasilva; Luda Diatchenko; Priscila de Oliveira Serrano; Shad B. Smith
Temporomandibular disorder (TMD) is a musculoskeletal condition characterized by pain and reduced function in the temporomandibular joint and/or associated masticatory musculature. Prevalence in the United States is 5% and twice as high among women as men. We conducted a discovery genome-wide association study (GWAS) of TMD in 10,153 participants (769 cases, 9,384 controls) of the US Hispanic Community Health Study/Study of Latinos (HCHS/SOL). The most promising single-nucleotide polymorphisms (SNPs) were tested in meta-analysis of 4 independent cohorts. One replication cohort was from the United States, and the others were from Germany, Finland, and Brazil, totaling 1,911 TMD cases and 6,903 controls. A locus near the sarcoglycan alpha (SGCA), rs4794106, was suggestive in the discovery analysis (P = 2.6 × 106) and replicated (i.e., 1-tailed P = 0.016) in the Brazilian cohort. In the discovery cohort, sex-stratified analysis identified 2 additional genome-wide significant loci in females. One lying upstream of the relaxin/insulin-like family peptide receptor 2 (RXP2) (chromosome 13, rs60249166, odds ratio [OR] = 0.65, P = 3.6 × 10−8) was replicated among females in the meta-analysis (1-tailed P = 0.052). The other (chromosome 17, rs1531554, OR = 0.68, P = 2.9 × 10−8) was replicated among females (1-tailed P = 0.002), as well as replicated in meta-analysis of both sexes (1-tailed P = 0.021). A novel locus at genome-wide level of significance (rs73460075, OR = 0.56, P = 3.8 × 10−8) in the intron of the dystrophin gene DMD (X chromosome), and a suggestive locus on chromosome 7 (rs73271865, P = 2.9 × 10−7) upstream of the Sp4 Transcription Factor (SP4) gene were identified in the discovery cohort, but neither of these was replicated. The SGCA gene encodes SGCA, which is involved in the cellular structure of muscle fibers and, along with DMD, forms part of the dystrophin-glycoprotein complex. Functional annotation suggested that several of these variants reside in loci that regulate processes relevant to TMD pathobiologic processes.
Human Molecular Genetics | 2017
Deepti Jain; Chani J. Hodonsky; Ursula M. Schick; Jean Morrison; Sharon Minnerath; Lisa Brown; Yongmei Liu; Paul L. Auer; Cecelia A. Laurie; Kent D. Taylor; Brian L. Browning; George J. Papanicolaou; Sharon R. Browning; Ruth J. F. Loos; Kari E. North; Bharat Thyagarajan; Cathy C. Laurie; Timothy A. Thornton; Tamar Sofer; Alex P. Reiner
Circulating white blood cell (WBC) counts (neutrophils, monocytes, lymphocytes, eosinophils, basophils) differ by ethnicity. The genetic factors underlying basal WBC traits in Hispanics/Latinos are unknown. We performed a genome-wide association study of total WBC and differential counts in a large, ethnically diverse US population sample of Hispanics/Latinos ascertained by the Hispanic Community Health Study and Study of Latinos (HCHS/SOL). We demonstrate that several previously known WBC-associated genetic loci (e.g. the African Duffy antigen receptor for chemokines null variant for neutrophil count) are generalizable to WBC traits in Hispanics/Latinos. We identified and replicated common and rare germ-line variants at FLT3 (a gene often somatically mutated in leukemia) associated with monocyte count. The common FLT3 variant rs76428106 has a large allele frequency differential between African and non-African populations. We also identified several novel genetic loci involving or regulating hematopoietic transcription factors (CEBPE-SLC7A7, CEBPA and CRBN-TRNT1) associated with basophil count. The minor allele of the CEBPE variant associated with lower basophil count has been previously associated with Amerindian ancestry and higher risk of acute lymphoblastic leukemia in Hispanics. Together, these data suggest that germline genetic variation affecting transcriptional and signaling pathways that underlie WBC development and lineage specification can contribute to inter-individual as well as ethnic differences in peripheral blood cell counts (normal hematopoiesis) in addition to susceptibility to leukemia (malignant hematopoiesis).
Human Molecular Genetics | 2017
Laura M. Raffield; Tin Louie; Tamar Sofer; Deepti Jain; Eli Ipp; Kent D. Taylor; George J. Papanicolaou; Larissa Aviles-Santa; Leslie A. Lange; Cathy C. Laurie; Matthew P. Conomos; Timothy A. Thornton; Yii-Der Ida Chen; Qibin Qi; Scott J. Cotler; Bharat Thyagarajan; Neil Schneiderman; Jerome I. Rotter; Alex P. Reiner; Henry J. Lin
&NA; Genetic variants contribute to normal variation of iron‐related traits and may also cause clinical syndromes of iron deficiency or excess. Iron overload and deficiency can adversely affect human health. For example, elevated iron storage is associated with increased diabetes risk, although mechanisms are still being investigated. We conducted the first genome‐wide association study of serum iron, total iron binding capacity (TIBC), transferrin saturation, and ferritin in a Hispanic/Latino cohort, the Hispanic Community Health Study/Study of Latinos (>12 000 participants) and also assessed the generalization of previously known loci to this population. We then evaluated whether iron‐associated variants were associated with diabetes and glycemic traits. We found evidence for a novel association between TIBC and a variant near the gene for protein phosphatase 1, regulatory subunit 3B (PPP1R3B; rs4841132, &bgr; = −0.116, P = 7.44 × 10−8). The effect strengthened when iron deficient individuals were excluded (&bgr; = −0.121, P = 4.78 × 10−9). Ten of sixteen variants previously associated with iron traits generalized to HCHS/SOL, including variants at the transferrin (TF), hemochromatosis (HFE), fatty acid desaturase 2 (FADS2)/myelin regulatory factor (MYRF), transmembrane protease, serine 6 (TMPRSS6), transferrin receptor (TFR2), N‐acetyltransferase 2 (arylamine N‐acetyltransferase) (NAT2), ABO blood group (ABO), and GRB2 associated binding protein 3 (GAB3) loci. In examining iron variant associations with glucose homeostasis, an iron‐raising variant of TMPRSS6 was associated with lower HbA1c levels (P = 8.66 × 10−10). This association was attenuated upon adjustment for iron measures. In contrast, the iron‐raising allele of PPP1R3B was associated with higher levels of fasting glucose (P = 7.70 × 10−7) and fasting insulin (P = 4.79 × 10−6), but these associations were not attenuated upon adjustment for TIBC—so iron is not likely a mediator. These results provide new genetic information on iron traits and their connection with glucose homeostasis.
Nature Genetics | 2018
Valentina Iotchkova; Jie Huang; John A. Morris; Deepti Jain; Caterina Barbieri; Klaudia Walter; Josine L. Min; Lu Chen; William Astle; Massimilian Cocca; Patrick Deelen; Heather Elding; Aliki-Eleni Farmaki; Christopher S. Franklin; Tom R. Gaunt; Albert Hofman; Tao Jiang; Marcus E. Kleber; Genevieve Lachance; Jian'an Luan; Giovanni Malerba; Angela Matchan; Daniel Mead; Yasin Memari; Ioanna Ntalla; Kalliope Panoutsopoulou; Raha Pazoki; John Perry; Fernando Rivadeneira; Maria Sabater-Lleal
In the version of the article published, the surname of author Aaron Isaacs is misspelled as Issacs.
Molecular Genetics & Genomic Medicine | 2018
Ganiyu Oyediran Oseni; Deepti Jain; Peter A. Mossey; Tamara Busch; Lord Jephthah Joojo Gowans; Mekonen A. Eshete; Wasiu Lanre Adeyemo; Cecelia A. Laurie; Cathy C. Laurie; Arwa Owais; Peter B. Olaitan; Babatunde S. Aregbesola; Fadekemi Olufunmilayo Oginni; Saidu A. Bello; Rosemary A. Audu; Chika K. Onwuamah; Solomon Obiri-Yeboah; Gyikua Plange-Rhule; Olugbenga Ogunlewe; Olutayo James; Taiye Halilu; Firke Abate; Lo Abdur-Rahman; Abimbola V. Oladugba; Mary L. Marazita; Jeffrey C. Murray; Adebowale Adeyemo
Orofacial clefts are the most common malformations of the head and neck region. Genetic and environmental factors have been implicated in the etiology of these traits.
Human Molecular Genetics | 2016
Elizabeth J. Leslie; Jenna C. Carlson; John R. Shaffer; Eleanor Feingold; George L. Wehby; Cecelia A. Laurie; Deepti Jain; Cathy C. Laurie; Kimberly F. Doheny; Toby McHenry; Judith M. Resick; Carla Sanchez; Jennifer Jacobs; Beth Emanuele; Alexandre R. Vieira; Katherine Neiswanger; Andrew C. Lidral; Luz Consuelo Valencia-Ramirez; Ana Maria Lopez-Palacio; Dora Rivera Valencia; Mauricio Arcos-Burgos; Andrew E. Czeizel; L. Leigh Field; Carmencita D. Padilla; Eva Maria Cutiongco-de la Paz; Frederic W.-B. Deleyiannis; Kaare Christensen; Ronald G. Munger; Rolv T. Lie; Allen J. Wilcox