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1. Prostate cancer risk stratification improvement across multiple ancestries with new polygenic hazard score

Author

Huynh-Le, Minh-Phuong, Karunamuni, Roshan, Fan, Chun Chieh, Asona, Lui, Thompson, Wesley K, Martinez, Maria Elena, Eeles, Rosalind A, Kote-Jarai, Zsofia, Muir, Kenneth R, Lophatananon, Artitaya, Schleutker, Johanna, Pashayan, Nora, Batra, Jyotsna, Grönberg, Henrik, Neal, David E, Nordestgaard, Børge G, Tangen, Catherine M, MacInnis, Robert J, Wolk, Alicja, Albanes, Demetrius, Haiman, Christopher A, Travis, Ruth C, Blot, William J, Stanford, Janet L, Mucci, Lorelei A, West, Catharine ML, Nielsen, Sune F, Kibel, Adam S, Cussenot, Olivier, Berndt, Sonja I, Koutros, Stella, Sørensen, Karina Dalsgaard, Cybulski, Cezary, Grindedal, Eli Marie, Menegaux, Florence, Park, Jong Y, Ingles, Sue A, Maier, Christiane, Hamilton, Robert J, Rosenstein, Barry S, Lu, Yong-Jie, Watya, Stephen, Vega, Ana, Kogevinas, Manolis, Wiklund, Fredrik, Penney, Kathryn L, Huff, Chad D, Teixeira, Manuel R, Multigner, Luc, Leach, Robin J, Brenner, Hermann, John, Esther M, Kaneva, Radka, Logothetis, Christopher J, Neuhausen, Susan L, De Ruyck, Kim, Ost, Piet, Razack, Azad, Newcomb, Lisa F, Fowke, Jay H, Gamulin, Marija, Abraham, Aswin, Claessens, Frank, Castelao, Jose Esteban, Townsend, Paul A, Crawford, Dana C, Petrovics, Gyorgy, van Schaik, Ron HN, Parent, Marie-Élise, Hu, Jennifer J, Zheng, Wei, Mills, Ian G, Andreassen, Ole A, Dale, Anders M, and Seibert, Tyler M

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Aging, Prostate Cancer, Cancer, Urologic Diseases, Prevention, Genetics, Good Health and Well Being, Male, Humans, Prostate-Specific Antigen, Prostatic Neoplasms, Early Detection of Cancer, Polymorphism, Single Nucleotide, Risk Factors, Risk Assessment, Genetic Predisposition to Disease, UKGPCS collaborators, APCB, NC-LA PCaP Investigators, IMPACT Study Steering Committee and Collaborators, Canary PASS Investigators, Profile Study Steering Committee, PRACTICAL Consortium, Urology & Nephrology, Clinical sciences, Oncology and carcinogenesis
Abstract

BackgroundProstate cancer risk stratification using single-nucleotide polymorphisms (SNPs) demonstrates considerable promise in men of European, Asian, and African genetic ancestries, but there is still need for increased accuracy. We evaluated whether including additional SNPs in a prostate cancer polygenic hazard score (PHS) would improve associations with clinically significant prostate cancer in multi-ancestry datasets.MethodsIn total, 299 SNPs previously associated with prostate cancer were evaluated for inclusion in a new PHS, using a LASSO-regularized Cox proportional hazards model in a training dataset of 72,181 men from the PRACTICAL Consortium. The PHS model was evaluated in four testing datasets: African ancestry, Asian ancestry, and two of European Ancestry-the Cohort of Swedish Men (COSM) and the ProtecT study. Hazard ratios (HRs) were estimated to compare men with high versus low PHS for association with clinically significant, with any, and with fatal prostate cancer. The impact of genetic risk stratification on the positive predictive value (PPV) of PSA testing for clinically significant prostate cancer was also measured.ResultsThe final model (PHS290) had 290 SNPs with non-zero coefficients. Comparing, for example, the highest and lowest quintiles of PHS290, the hazard ratios (HRs) for clinically significant prostate cancer were 13.73 [95% CI: 12.43-15.16] in ProtecT, 7.07 [6.58-7.60] in African ancestry, 10.31 [9.58-11.11] in Asian ancestry, and 11.18 [10.34-12.09] in COSM. Similar results were seen for association with any and fatal prostate cancer. Without PHS stratification, the PPV of PSA testing for clinically significant prostate cancer in ProtecT was 0.12 (0.11-0.14). For the top 20% and top 5% of PHS290, the PPV of PSA testing was 0.19 (0.15-0.22) and 0.26 (0.19-0.33), respectively.ConclusionsWe demonstrate better genetic risk stratification for clinically significant prostate cancer than prior versions of PHS in multi-ancestry datasets. This is promising for implementing precision-medicine approaches to prostate cancer screening decisions in diverse populations.

Published
2022

2. Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk.

Author

Tian, Yu, Kim, Andre E, Bien, Stephanie A, Lin, Yi, Qu, Conghui, Harrison, Tabitha A, Carreras-Torres, Robert, Díez-Obrero, Virginia, Dimou, Niki, Drew, David A, Hidaka, Akihisa, Huyghe, Jeroen R, Jordahl, Kristina M, Morrison, John, Murphy, Neil, Obón-Santacana, Mireia, Ulrich, Cornelia M, Ose, Jennifer, Peoples, Anita R, Ruiz-Narvaez, Edward A, Shcherbina, Anna, Stern, Mariana C, Su, Yu-Ru, van Duijnhoven, Franzel JB, Arndt, Volker, Baurley, James W, Berndt, Sonja I, Bishop, D Timothy, Brenner, Hermann, Buchanan, Daniel D, Chan, Andrew T, Figueiredo, Jane C, Gallinger, Steven, Gruber, Stephen B, Harlid, Sophia, Hoffmeister, Michael, Jenkins, Mark A, Joshi, Amit D, Keku, Temitope O, Larsson, Susanna C, Le Marchand, Loic, Li, Li, Giles, Graham G, Milne, Roger L, Nan, Hongmei, Nassir, Rami, Ogino, Shuji, Budiarto, Arif, Platz, Elizabeth A, Potter, John D, Prentice, Ross L, Rennert, Gad, Sakoda, Lori C, Schoen, Robert E, Slattery, Martha L, Thibodeau, Stephen N, Van Guelpen, Bethany, Visvanathan, Kala, White, Emily, Wolk, Alicja, Woods, Michael O, Wu, Anna H, Campbell, Peter T, Casey, Graham, Conti, David V, Gunter, Marc J, Kundaje, Anshul, Lewinger, Juan Pablo, Moreno, Victor, Newcomb, Polly A, Pardamean, Bens, Thomas, Duncan C, Tsilidis, Konstantinos K, Peters, Ulrike, Gauderman, W James, Hsu, Li, and Chang-Claude, Jenny

Subjects
Humans, Colorectal Neoplasms, Estrogens, Progestins, Risk Factors, Case-Control Studies, Menopause, Polymorphism, Single Nucleotide, Female, Aging, Digestive Diseases, Estrogen, Colo-Rectal Cancer, Genetics, Prevention, Human Genome, Clinical Research, Cancer, 2.1 Biological and endogenous factors, Aetiology, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

BackgroundThe use of menopausal hormone therapy (MHT) may interact with genetic variants to influence colorectal cancer (CRC) risk.MethodsWe conducted a genome-wide, gene-environment interaction between single nucleotide polymorphisms and the use of any MHT, estrogen only, and combined estrogen-progestogen therapy with CRC risk, among 28 486 postmenopausal women (11 519 CRC patients and 16 967 participants without CRC) from 38 studies, using logistic regression, 2-step method, and 2- or 3-degree-of-freedom joint test. A set-based score test was applied for rare genetic variants.ResultsThe use of any MHT, estrogen only and estrogen-progestogen were associated with a reduced CRC risk (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.64 to 0.78; OR = 0.65, 95% CI = 0.53 to 0.79; and OR = 0.73, 95% CI = 0.59 to 0.90, respectively). The 2-step method identified a statistically significant interaction between a GRIN2B variant rs117868593 and MHT use, whereby MHT-associated CRC risk was statistically significantly reduced in women with the GG genotype (OR = 0.68, 95% CI = 0.64 to 0.72) but not within strata of GC or CC genotypes. A statistically significant interaction between a DCBLD1 intronic variant at 6q22.1 (rs10782186) and MHT use was identified by the 2-degree-of-freedom joint test. The MHT-associated CRC risk was reduced with increasing number of rs10782186-C alleles, showing odds ratios of 0.78 (95% CI = 0.70 to 0.87) for TT, 0.68 (95% CI = 0.63 to 0.73) for TC, and 0.66 (95% CI = 0.60 to 0.74) for CC genotypes. In addition, 5 genes in rare variant analysis showed suggestive interactions with MHT (2-sided P

Published
2022

3. Common genetic polymorphisms contribute to the association between chronic lymphocytic leukaemia and non-melanoma skin cancer.

Author

Besson, Caroline, Moore, Amy, Wu, Wenting, Vajdic, Claire M, de Sanjose, Silvia, Camp, Nicola J, Smedby, Karin E, Shanafelt, Tait D, Morton, Lindsay M, Brewer, Jerry D, Zablotska, Lydia, Engels, Eric A, Cerhan, James R, Slager, Susan L, Han, Jiali, and Berndt, Sonja I

Subjects
Lymphoma, Clinical Research, Cancer, Hematology, Rare Diseases, Genetics, Prevention, 2.1 Biological and endogenous factors, Aetiology, Carcinoma, Basal Cell, Carcinoma, Squamous Cell, Humans, Leukemia, Lymphocytic, Chronic, B-Cell, Polymorphism, Single Nucleotide, Risk Factors, Skin Neoplasms, CLL, NMSC, polygenic risk score, pleiotropy, InterLymph Consortium. Full authors list is given at the end of the manuscript, Statistics, Public Health and Health Services, Epidemiology
Abstract

BackgroundEpidemiological studies have demonstrated a positive association between chronic lymphocytic leukaemia (CLL) and non-melanoma skin cancer (NMSC). We hypothesized that shared genetic risk factors between CLL and NMSC could contribute to the association observed between these diseases.MethodsWe examined the association between (i) established NMSC susceptibility loci and CLL risk in a meta-analysis including 3100 CLL cases and 7667 controls and (ii) established CLL loci and NMSC risk in a study of 4242 basal cell carcinoma (BCC) cases, 825 squamous cell carcinoma (SCC) cases and 12802 controls. Polygenic risk scores (PRS) for CLL, BCC and SCC were constructed using established loci. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs).ResultsHigher CLL-PRS was associated with increased BCC risk (OR4th-quartile-vs-1st-quartile = 1.13, 95% CI: 1.02-1.24, Ptrend = 0.009), even after removing the shared 6p25.3 locus. No association was observed with BCC-PRS and CLL risk (Ptrend = 0.68). These findings support a contributory role for CLL in BCC risk, but not for BCC in CLL risk. Increased CLL risk was observed with higher SCC-PRS (OR4th-quartile-vs-1st-quartile = 1.22, 95% CI: 1.08-1.38, Ptrend = 1.36 × 10-5), which was driven by shared genetic susceptibility at the 6p25.3 locus.ConclusionThese findings highlight the role of pleiotropy regarding the pathogenesis of CLL and NMSC and shows that a single pleiotropic locus, 6p25.3, drives the observed association between genetic susceptibility to SCC and increased CLL risk. The study also provides evidence that genetic susceptibility for CLL increases BCC risk.

Published
2021

4. Additional SNPs improve risk stratification of a polygenic hazard score for prostate cancer

Author

Karunamuni, Roshan A, Huynh-Le, Minh-Phuong, Fan, Chun C, Thompson, Wesley, Eeles, Rosalind A, Kote-Jarai, Zsofia, Muir, Kenneth, Lophatananon, Artitaya, Schleutker, Johanna, Pashayan, Nora, Batra, Jyotsna, Grönberg, Henrik, Walsh, Eleanor I, Turner, Emma L, Lane, Athene, Martin, Richard M, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Nordestgaard, Børge G, Tangen, Catherine M, MacInnis, Robert J, Wolk, Alicja, Albanes, Demetrius, Haiman, Christopher A, Travis, Ruth C, Stanford, Janet L, Mucci, Lorelei A, West, Catharine ML, Nielsen, Sune F, Kibel, Adam S, Wiklund, Fredrik, Cussenot, Olivier, Berndt, Sonja I, Koutros, Stella, Sørensen, Karina Dalsgaard, Cybulski, Cezary, Grindedal, Eli Marie, Park, Jong Y, Ingles, Sue A, Maier, Christiane, Hamilton, Robert J, Rosenstein, Barry S, Vega, Ana, Kogevinas, Manolis, Penney, Kathryn L, Teixeira, Manuel R, Brenner, Hermann, John, Esther M, Kaneva, Radka, Logothetis, Christopher J, Neuhausen, Susan L, Razack, Azad, Newcomb, Lisa F, Gamulin, Marija, Usmani, Nawaid, Claessens, Frank, Gago-Dominguez, Manuela, Townsend, Paul A, Roobol, Monique J, Zheng, Wei, Mills, Ian G, Andreassen, Ole A, Dale, Anders M, and Seibert, Tyler M

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Urologic Diseases, Prostate Cancer, Aging, Cancer, Prevention, Adult, Aged, Biomarkers, Tumor, Follow-Up Studies, Humans, Male, Middle Aged, Models, Statistical, Polymorphism, Single Nucleotide, Predictive Value of Tests, Prognosis, Prostatic Neoplasms, Risk Assessment, Risk Factors, UKGPCS collaborators, APCB BioResource, IMPACT Study Steering Committee and Collaborators, Canary PASS Investigators, Profile Study Steering Committee, PRACTICAL Consortium, Urology & Nephrology, Clinical sciences, Oncology and carcinogenesis
Abstract

BackgroundPolygenic hazard scores (PHS) can identify individuals with increased risk of prostate cancer. We estimated the benefit of additional SNPs on performance of a previously validated PHS (PHS46).Materials and method180 SNPs, shown to be previously associated with prostate cancer, were used to develop a PHS model in men with European ancestry. A machine-learning approach, LASSO-regularized Cox regression, was used to select SNPs and to estimate their coefficients in the training set (75,596 men). Performance of the resulting model was evaluated in the testing/validation set (6,411 men) with two metrics: (1) hazard ratios (HRs) and (2) positive predictive value (PPV) of prostate-specific antigen (PSA) testing. HRs were estimated between individuals with PHS in the top 5% to those in the middle 40% (HR95/50), top 20% to bottom 20% (HR80/20), and bottom 20% to middle 40% (HR20/50). PPV was calculated for the top 20% (PPV80) and top 5% (PPV95) of PHS as the fraction of individuals with elevated PSA that were diagnosed with clinically significant prostate cancer on biopsy.Results166 SNPs had non-zero coefficients in the Cox model (PHS166). All HR metrics showed significant improvements for PHS166 compared to PHS46: HR95/50 increased from 3.72 to 5.09, HR80/20 increased from 6.12 to 9.45, and HR20/50 decreased from 0.41 to 0.34. By contrast, no significant differences were observed in PPV of PSA testing for clinically significant prostate cancer.ConclusionsIncorporating 120 additional SNPs (PHS166 vs PHS46) significantly improved HRs for prostate cancer, while PPV of PSA testing remained the same.

Published
2021

5. Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry

Author

Graff, Mariaelisa, Justice, Anne E, Young, Kristin L, Marouli, Eirini, Zhang, Xinruo, Fine, Rebecca S, Lim, Elise, Buchanan, Victoria, Rand, Kristin, Feitosa, Mary F, Wojczynski, Mary K, Yanek, Lisa R, Shao, Yaming, Rohde, Rebecca, Adeyemo, Adebowale A, Aldrich, Melinda C, Allison, Matthew A, Ambrosone, Christine B, Ambs, Stefan, Amos, Christopher, Arnett, Donna K, Atwood, Larry, Bandera, Elisa V, Bartz, Traci, Becker, Diane M, Berndt, Sonja I, Bernstein, Leslie, Bielak, Lawrence F, Blot, William J, Bottinger, Erwin P, Bowden, Donald W, Bradfield, Jonathan P, Brody, Jennifer A, Broeckel, Ulrich, Burke, Gregory, Cade, Brian E, Cai, Qiuyin, Caporaso, Neil, Carlson, Chris, Carpten, John, Casey, Graham, Chanock, Stephen J, Chen, Guanjie, Chen, Minhui, Chen, Yii-Der I, Chen, Wei-Min, Chesi, Alessandra, Chiang, Charleston WK, Chu, Lisa, Coetzee, Gerry A, Conti, David V, Cooper, Richard S, Cushman, Mary, Demerath, Ellen, Deming, Sandra L, Dimitrov, Latchezar, Ding, Jingzhong, Diver, W Ryan, Duan, Qing, Evans, Michele K, Falusi, Adeyinka G, Faul, Jessica D, Fornage, Myriam, Fox, Caroline, Freedman, Barry I, Garcia, Melissa, Gillanders, Elizabeth M, Goodman, Phyllis, Gottesman, Omri, Grant, Struan FA, Guo, Xiuqing, Hakonarson, Hakon, Haritunians, Talin, Harris, Tamara B, Harris, Curtis C, Henderson, Brian E, Hennis, Anselm, Hernandez, Dena G, Hirschhorn, Joel N, McNeill, Lorna Haughton, Howard, Timothy D, Howard, Barbara, Hsing, Ann W, Hsu, Yu-Han H, Hu, Jennifer J, Huff, Chad D, Huo, Dezheng, Ingles, Sue A, Irvin, Marguerite R, John, Esther M, Johnson, Karen C, Jordan, Joanne M, Kabagambe, Edmond K, Kang, Sun J, Kardia, Sharon L, Keating, Brendan J, Kittles, Rick A, Klein, Eric A, Kolb, Suzanne, and Kolonel, Laurence N

Subjects
Human Genome, Genetics, Africa, Black or African American, Black People, Body Height, Europe, Female, Genome-Wide Association Study, Humans, Male, Polymorphism, Single Nucleotide, African ancestry, fine-mapping, genome-wide, height, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

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

Published
2021

6. Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers.

Author

Zhang, Yan Dora, Hurson, Amber N, Zhang, Haoyu, Choudhury, Parichoy Pal, Easton, Douglas F, Milne, Roger L, Simard, Jacques, Hall, Per, Michailidou, Kyriaki, Dennis, Joe, Schmidt, Marjanka K, Chang-Claude, Jenny, Gharahkhani, Puya, Whiteman, David, Campbell, Peter T, Hoffmeister, Michael, Jenkins, Mark, Peters, Ulrike, Hsu, Li, Gruber, Stephen B, Casey, Graham, Schmit, Stephanie L, O'Mara, Tracy A, Spurdle, Amanda B, Thompson, Deborah J, Tomlinson, Ian, De Vivo, Immaculata, Landi, Maria Teresa, Law, Matthew H, Iles, Mark M, Demenais, Florence, Kumar, Rajiv, MacGregor, Stuart, Bishop, D Timothy, Ward, Sarah V, Bondy, Melissa L, Houlston, Richard, Wiencke, John K, Melin, Beatrice, Barnholtz-Sloan, Jill, Kinnersley, Ben, Wrensch, Margaret R, Amos, Christopher I, Hung, Rayjean J, Brennan, Paul, McKay, James, Caporaso, Neil E, Berndt, Sonja I, Birmann, Brenda M, Camp, Nicola J, Kraft, Peter, Rothman, Nathaniel, Slager, Susan L, Berchuck, Andrew, Pharoah, Paul DP, Sellers, Thomas A, Gayther, Simon A, Pearce, Celeste L, Goode, Ellen L, Schildkraut, Joellen M, Moysich, Kirsten B, Amundadottir, Laufey T, Jacobs, Eric J, Klein, Alison P, Petersen, Gloria M, Risch, Harvey A, Stolzenberg-Solomon, Rachel Z, Wolpin, Brian M, Li, Donghui, Eeles, Rosalind A, Haiman, Christopher A, Kote-Jarai, Zsofia, Schumacher, Fredrick R, Al Olama, Ali Amin, Purdue, Mark P, Scelo, Ghislaine, Dalgaard, Marlene D, Greene, Mark H, Grotmol, Tom, Kanetsky, Peter A, McGlynn, Katherine A, Nathanson, Katherine L, Turnbull, Clare, Wiklund, Fredrik, Breast Cancer Association Consortium (BCAC), Barrett’s and Esophageal Adenocarcinoma Consortium (BEACON), Colon Cancer Family Registry (CCFR), Transdisciplinary Studies of Genetic Variation in Colorectal Cancer (CORECT), Endometrial Cancer Association Consortium (ECAC), Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), Melanoma Genetics Consortium (GenoMEL), Glioma International Case-Control Study (GICC), International Lung Cancer Consortium (ILCCO), Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Consortium, International Consortium of Investigators Working on Non-Hodgkin’s Lymphoma Epidemiologic Studies (InterLymph), Ovarian Cancer Association Consortium (OCAC), Oral Cancer GWAS, Pancreatic Cancer Case-Control Consortium (PanC4), Pancreatic Cancer Cohort Consortium (PanScan), and Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL)

Subjects
Breast Cancer Association Consortium, Barrett’s and Esophageal Adenocarcinoma Consortium, Colon Cancer Family Registry, Transdisciplinary Studies of Genetic Variation in Colorectal Cancer, Endometrial Cancer Association Consortium, Genetics and Epidemiology of Colorectal Cancer Consortium, Melanoma Genetics Consortium, Glioma International Case-Control Study, International Lung Cancer Consortium, Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Consortium, International Consortium of Investigators Working on Non-Hodgkin’s Lymphoma Epidemiologic Studies, Ovarian Cancer Association Consortium, Oral Cancer GWAS, Pancreatic Cancer Case-Control Consortium, Pancreatic Cancer Cohort Consortium, Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome, Renal Cancer GWAS, Testicular Cancer Consortium, Animals, Humans, Neoplasms, Genetic Predisposition to Disease, Incidence, Risk Assessment, Risk Factors, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Models, Genetic, Female, Male, Genome-Wide Association Study, Human Genome, Prevention, Cancer, Prostate Cancer, Genetics, Urologic Diseases, 2.1 Biological and endogenous factors
Abstract

Genome-wide association studies (GWAS) have led to the identification of hundreds of susceptibility loci across cancers, but the impact of further studies remains uncertain. Here we analyse summary-level data from GWAS of European ancestry across fourteen cancer sites to estimate the number of common susceptibility variants (polygenicity) and underlying effect-size distribution. All cancers show a high degree of polygenicity, involving at a minimum of thousands of loci. We project that sample sizes required to explain 80% of GWAS heritability vary from 60,000 cases for testicular to over 1,000,000 cases for lung cancer. The maximum relative risk achievable for subjects at the 99th risk percentile of underlying polygenic risk scores (PRS), compared to average risk, ranges from 12 for testicular to 2.5 for ovarian cancer. We show that PRS have potential for risk stratification for cancers of breast, colon and prostate, but less so for others because of modest heritability and lower incidence.

Published
2020

7. A meta-analysis of genome-wide association studies of multiple myeloma among men and women of African ancestry

Author

Du, Zhaohui, Weinhold, Niels, Song, Gregory Chi, Rand, Kristin A, Van Den Berg, David J, Hwang, Amie E, Sheng, Xin, Hom, Victor, Ailawadhi, Sikander, Nooka, Ajay K, Singhal, Seema, Pawlish, Karen, Peters, Edward S, Bock, Cathryn, Mohrbacher, Ann, Stram, Alexander, Berndt, Sonja I, Blot, William J, Casey, Graham, Stevens, Victoria L, Kittles, Rick, Goodman, Phyllis J, Diver, W Ryan, Hennis, Anselm, Nemesure, Barbara, Klein, Eric A, Rybicki, Benjamin A, Stanford, Janet L, Witte, John S, Signorello, Lisa, John, Esther M, Bernstein, Leslie, Stroup, Antoinette M, Stephens, Owen W, Zangari, Maurizio, Van Rhee, Frits, Olshan, Andrew, Zheng, Wei, Hu, Jennifer J, Ziegler, Regina, Nyante, Sarah J, Ingles, Sue Ann, Press, Michael F, Carpten, John David, Chanock, Stephen J, Mehta, Jayesh, Colditz, Graham A, Wolf, Jeffrey, Martin, Thomas G, Tomasson, Michael, Fiala, Mark A, Terebelo, Howard, Janakiraman, Nalini, Kolonel, Laurence, Anderson, Kenneth C, Le Marchand, Loic, Auclair, Daniel, Chiu, Brian C-H, Ziv, Elad, Stram, Daniel, Vij, Ravi, Bernal-Mizrachi, Leon, Morgan, Gareth J, Zonder, Jeffrey A, Huff, Carol Ann, Lonial, Sagar, Orlowski, Robert Z, Conti, David V, Haiman, Christopher A, and Cozen, Wendy

Subjects
Hematology, Rare Diseases, Genetics, Cancer, Clinical Research, Prevention, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Multiple Myeloma, Polymorphism, Single Nucleotide, Transcriptional Elongation Factors
Abstract

Persons of African ancestry (AA) have a twofold higher risk for multiple myeloma (MM) compared with persons of European ancestry (EA). Genome-wide association studies (GWASs) support a genetic contribution to MM etiology in individuals of EA. Little is known about genetic risk factors for MM in individuals of AA. We performed a meta-analysis of 2 GWASs of MM in 1813 cases and 8871 controls and conducted an admixture mapping scan to identify risk alleles. We fine-mapped the 23 known susceptibility loci to find markers that could better capture MM risk in individuals of AA and constructed a polygenic risk score (PRS) to assess the aggregated effect of known MM risk alleles. In GWAS meta-analysis, we identified 2 suggestive novel loci located at 9p24.3 and 9p13.1 at P < 1 × 10-6; however, no genome-wide significant association was noted. In admixture mapping, we observed a genome-wide significant inverse association between local AA at 2p24.1-23.1 and MM risk in AA individuals. Of the 23 known EA risk variants, 20 showed directional consistency, and 9 replicated at P < .05 in AA individuals. In 8 regions, we identified markers that better capture MM risk in persons with AA. AA individuals with a PRS in the top 10% had a 1.82-fold (95% confidence interval, 1.56-2.11) increased MM risk compared with those with average risk (25%-75%). The strongest functional association was between the risk allele for variant rs56219066 at 5q15 and lower ELL2 expression (P = 5.1 × 10-12). Our study shows that common genetic variation contributes to MM risk in individuals with AA.

Published
2020

8. Genetic overlap between autoimmune diseases and non‐Hodgkin lymphoma subtypes

Author

Din, Lennox, Sheikh, Mohammad, Kosaraju, Nikitha, Smedby, Karin Ekstrom, Bernatsky, Sasha, Berndt, Sonja I, Skibola, Christine F, Nieters, Alexandra, Wang, Sophia, McKay, James D, Cocco, Pierluigi, Maynadié, Marc, Foretová, Lenka, Staines, Anthony, Mack, Thomas M, de Sanjosé, Silvia, Vyse, Timothy J, Padyukov, Leonid, Monnereau, Alain, Arslan, Alan A, Moore, Amy, Brooks‐Wilson, Angela R, Novak, Anne J, Glimelius, Bengt, Birmann, Brenda M, Link, Brian K, Stewart, Carolyn, Vajdic, Claire M, Haioun, Corinne, Magnani, Corrado, Conti, David V, Cox, David G, Casabonne, Delphine, Albanes, Demetrius, Kane, Eleanor, Roman, Eve, Muzi, Giacomo, Salles, Gilles, Giles, Graham G, Adami, Hans‐Olov, Ghesquières, Hervé, De Vivo, Immaculata, Clavel, Jacqueline, Cerhan, James R, Spinelli, John J, Hofmann, Jonathan, Vijai, Joseph, Curtin, Karen, Costenbader, Karen H, Onel, Kenan, Offit, Kenneth, Teras, Lauren R, Morton, Lindsay, Conde, Lucia, Miligi, Lucia, Melbye, Mads, Ennas, Maria Grazia, Liebow, Mark, Purdue, Mark P, Glenn, Martha, Southey, Melissa C, Din, Morris, Rothman, Nathaniel, Camp, Nicola J, Doo, Nicole Wong, Becker, Nikolaus, Pradhan, Nisha, Bracci, Paige M, Boffetta, Paolo, Vineis, Paolo, Brennan, Paul, Kraft, Peter, Lan, Qing, Severson, Richard K, Vermeulen, Roel CH, Milne, Roger L, Kaaks, Rudolph, Travis, Ruth C, Weinstein, Stephanie J, Chanock, Stephen J, Ansell, Stephen M, Slager, Susan L, Zheng, Tongzhang, Zhang, Yawei, Benavente, Yolanda, Taub, Zachary, Madireddy, Lohith, Gourraud, Pierre‐Antoine, Oksenberg, Jorge R, Cozen, Wendy, Hjalgrim, Henrik, and Khankhanian, Pouya

Subjects
Biological Sciences, Genetics, Lymphoma, Arthritis, Neurodegenerative, Brain Disorders, Autoimmune Disease, Cancer, Human Genome, Rare Diseases, Hematology, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Alleles, Autoimmune Diseases, Female, Genetic Predisposition to Disease, HLA Antigens, Humans, Lymphoma, Non-Hodgkin, Male, Middle Aged, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Risk Factors, autoimmune disease, genome-wide association study, meta-analysis, non-Hodgkin lymphoma, Public Health and Health Services, Epidemiology
Abstract

Epidemiologic studies show an increased risk of non-Hodgkin lymphoma (NHL) in patients with autoimmune disease (AD), due to a combination of shared environmental factors and/or genetic factors, or a causative cascade: chronic inflammation/antigen-stimulation in one disease leads to another. Here we assess shared genetic risk in genome-wide-association-studies (GWAS). Secondary analysis of GWAS of NHL subtypes (chronic lymphocytic leukemia, diffuse large B-cell lymphoma, follicular lymphoma, and marginal zone lymphoma) and ADs (rheumatoid arthritis, systemic lupus erythematosus, and multiple sclerosis). Shared genetic risk was assessed by (a) description of regional genetic of overlap, (b) polygenic risk score (PRS), (c)"diseasome", (d)meta-analysis. Descriptive analysis revealed few shared genetic factors between each AD and each NHL subtype. The PRS of ADs were not increased in NHL patients (nor vice versa). In the diseasome, NHLs shared more genetic etiology with ADs than solid cancers (p = .0041). A meta-analysis (combing AD with NHL) implicated genes of apoptosis and telomere length. This GWAS-based analysis four NHL subtypes and three ADs revealed few weakly-associated shared loci, explaining little total risk. This suggests common genetic variation, as assessed by GWAS in these sample sizes, may not be the primary explanation for the link between these ADs and NHLs.

Published
2019

9. Novel Common Genetic Susceptibility Loci for Colorectal Cancer

Author

Schmit, Stephanie L, Edlund, Christopher K, Schumacher, Fredrick R, Gong, Jian, Harrison, Tabitha A, Huyghe, Jeroen R, Qu, Chenxu, Melas, Marilena, Van Den Berg, David J, Wang, Hansong, Tring, Stephanie, Plummer, Sarah J, Albanes, Demetrius, Alonso, M Henar, Amos, Christopher I, Anton, Kristen, Aragaki, Aaron K, Arndt, Volker, Barry, Elizabeth L, Berndt, Sonja I, Bezieau, Stéphane, Bien, Stephanie, Bloomer, Amanda, Boehm, Juergen, Boutron-Ruault, Marie-Christine, Brenner, Hermann, Brezina, Stefanie, Buchanan, Daniel D, Butterbach, Katja, Caan, Bette J, Campbell, Peter T, Carlson, Christopher S, Castelao, Jose E, Chan, Andrew T, Chang-Claude, Jenny, Chanock, Stephen J, Cheng, Iona, Cheng, Ya-Wen, Chin, Lee Soo, Church, James M, Church, Timothy, Coetzee, Gerhard A, Cotterchio, Michelle, Correa, Marcia Cruz, Curtis, Keith R, Duggan, David, Easton, Douglas F, English, Dallas, Feskens, Edith JM, Fischer, Rocky, FitzGerald, Liesel M, Fortini, Barbara K, Fritsche, Lars G, Fuchs, Charles S, Gago-Dominguez, Manuela, Gala, Manish, Gallinger, Steven J, Gauderman, W James, Giles, Graham G, Giovannucci, Edward L, Gogarten, Stephanie M, Gonzalez-Villalpando, Clicerio, Gonzalez-Villalpando, Elena M, Grady, William M, Greenson, Joel K, Gsur, Andrea, Gunter, Marc, Haiman, Christopher A, Hampe, Jochen, Harlid, Sophia, Harju, John F, Hayes, Richard B, Hofer, Philipp, Hoffmeister, Michael, Hopper, John L, Huang, Shu-Chen, Huerta, Jose Maria, Hudson, Thomas J, Hunter, David J, Idos, Gregory E, Iwasaki, Motoki, Jackson, Rebecca D, Jacobs, Eric J, Jee, Sun Ha, Jenkins, Mark A, Jia, Wei-Hua, Jiao, Shuo, Joshi, Amit D, Kolonel, Laurence N, Kono, Suminori, Kooperberg, Charles, Krogh, Vittorio, Kuehn, Tilman, Küry, Sébastien, LaCroix, Andrea, Laurie, Cecelia A, Lejbkowicz, Flavio, Lemire, Mathieu, Lenz, Heinz-Josef, and Levine, David

Subjects
Prevention, Cancer, Digestive Diseases, Human Genome, Genetics, Clinical Research, Colo-Rectal Cancer, Aetiology, 2.1 Biological and endogenous factors, Case-Control Studies, Colorectal Neoplasms, Ethnicity, Follow-Up Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide, Prognosis, United States, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

BackgroundPrevious genome-wide association studies (GWAS) have identified 42 loci (P < 5 × 10-8) associated with risk of colorectal cancer (CRC). Expanded consortium efforts facilitating the discovery of additional susceptibility loci may capture unexplained familial risk.MethodsWe conducted a GWAS in European descent CRC cases and control subjects using a discovery-replication design, followed by examination of novel findings in a multiethnic sample (cumulative n = 163 315). In the discovery stage (36 948 case subjects/30 864 control subjects), we identified genetic variants with a minor allele frequency of 1% or greater associated with risk of CRC using logistic regression followed by a fixed-effects inverse variance weighted meta-analysis. All novel independent variants reaching genome-wide statistical significance (two-sided P < 5 × 10-8) were tested for replication in separate European ancestry samples (12 952 case subjects/48 383 control subjects). Next, we examined the generalizability of discovered variants in East Asians, African Americans, and Hispanics (12 085 case subjects/22 083 control subjects). Finally, we examined the contributions of novel risk variants to familial relative risk and examined the prediction capabilities of a polygenic risk score. All statistical tests were two-sided.ResultsThe discovery GWAS identified 11 variants associated with CRC at P < 5 × 10-8, of which nine (at 4q22.2/5p15.33/5p13.1/6p21.31/6p12.1/10q11.23/12q24.21/16q24.1/20q13.13) independently replicated at a P value of less than .05. Multiethnic follow-up supported the generalizability of discovery findings. These results demonstrated a 14.7% increase in familial relative risk explained by common risk alleles from 10.3% (95% confidence interval [CI] = 7.9% to 13.7%; known variants) to 11.9% (95% CI = 9.2% to 15.5%; known and novel variants). A polygenic risk score identified 4.3% of the population at an odds ratio for developing CRC of at least 2.0.ConclusionsThis study provides insight into the architecture of common genetic variation contributing to CRC etiology and improves risk prediction for individualized screening.

Published
2019

10. Shared heritability and functional enrichment across six solid cancers.

Author

Jiang, Xia, Finucane, Hilary K, Schumacher, Fredrick R, Schmit, Stephanie L, Tyrer, Jonathan P, Han, Younghun, Michailidou, Kyriaki, Lesseur, Corina, Kuchenbaecker, Karoline B, Dennis, Joe, Conti, David V, Casey, Graham, Gaudet, Mia M, Huyghe, Jeroen R, Albanes, Demetrius, Aldrich, Melinda C, Andrew, Angeline S, Andrulis, Irene L, Anton-Culver, Hoda, Antoniou, Antonis C, Antonenkova, Natalia N, Arnold, Susanne M, Aronson, Kristan J, Arun, Banu K, Bandera, Elisa V, Barkardottir, Rosa B, Barnes, Daniel R, Batra, Jyotsna, Beckmann, Matthias W, Benitez, Javier, Benlloch, Sara, Berchuck, Andrew, Berndt, Sonja I, Bickeböller, Heike, Bien, Stephanie A, Blomqvist, Carl, Boccia, Stefania, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Brauch, Hiltrud, Brenner, Hermann, Brenton, James D, Brook, Mark N, Brunet, Joan, Brunnström, Hans, Buchanan, Daniel D, Burwinkel, Barbara, Butzow, Ralf, Cadoni, Gabriella, Caldés, Trinidad, Caligo, Maria A, Campbell, Ian, Campbell, Peter T, Cancel-Tassin, Géraldine, Cannon-Albright, Lisa, Campa, Daniele, Caporaso, Neil, Carvalho, André L, Chan, Andrew T, Chang-Claude, Jenny, Chanock, Stephen J, Chen, Chu, Christiani, David C, Claes, Kathleen BM, Claessens, Frank, Clements, Judith, Collée, J Margriet, Correa, Marcia Cruz, Couch, Fergus J, Cox, Angela, Cunningham, Julie M, Cybulski, Cezary, Czene, Kamila, Daly, Mary B, deFazio, Anna, Devilee, Peter, Diez, Orland, Gago-Dominguez, Manuela, Donovan, Jenny L, Dörk, Thilo, Duell, Eric J, Dunning, Alison M, Dwek, Miriam, Eccles, Diana M, Edlund, Christopher K, Edwards, Digna R Velez, Ellberg, Carolina, Evans, D Gareth, Fasching, Peter A, Ferris, Robert L, Liloglou, Triantafillos, Figueiredo, Jane C, Fletcher, Olivia, Fortner, Renée T, Fostira, Florentia, Franceschi, Silvia, Friedman, Eitan, Gallinger, Steven J, and Ganz, Patricia A

Subjects
Humans, Breast Neoplasms, Colorectal Neoplasms, Ovarian Neoplasms, Head and Neck Neoplasms, Lung Neoplasms, Prostatic Neoplasms, Genetic Predisposition to Disease, Neoplasm Proteins, Case-Control Studies, Smoking, Mental Disorders, Inheritance Patterns, Phenotype, Polymorphism, Single Nucleotide, European Continental Ancestry Group, Female, Male, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Prevention, Cancer, Breast Cancer, Genetics, Rare Diseases, Lung Cancer, Human Genome, Colo-Rectal Cancer, Digestive Diseases, Lung, MD Multidisciplinary
Abstract

Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg = 0.57, p = 4.6 × 10-8), breast and ovarian cancer (rg = 0.24, p = 7 × 10-5), breast and lung cancer (rg = 0.18, p =1.5 × 10-6) and breast and colorectal cancer (rg = 0.15, p = 1.1 × 10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.

Published
2019

11. Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

Author

Schumacher, Fredrick R, Al Olama, Ali Amin, Berndt, Sonja I, Benlloch, Sara, Ahmed, Mahbubl, Saunders, Edward J, Dadaev, Tokhir, Leongamornlert, Daniel, Anokian, Ezequiel, Cieza-Borrella, Clara, Goh, Chee, Brook, Mark N, Sheng, Xin, Fachal, Laura, Dennis, Joe, Tyrer, Jonathan, Muir, Kenneth, Lophatananon, Artitaya, Stevens, Victoria L, Gapstur, Susan M, Carter, Brian D, Tangen, Catherine M, Goodman, Phyllis J, Thompson, Ian M, Batra, Jyotsna, Chambers, Suzanne, Moya, Leire, Clements, Judith, Horvath, Lisa, Tilley, Wayne, Risbridger, Gail P, Gronberg, Henrik, Aly, Markus, Nordström, Tobias, Pharoah, Paul, Pashayan, Nora, Schleutker, Johanna, Tammela, Teuvo LJ, Sipeky, Csilla, Auvinen, Anssi, Albanes, Demetrius, Weinstein, Stephanie, Wolk, Alicja, Håkansson, Niclas, West, Catharine ML, Dunning, Alison M, Burnet, Neil, Mucci, Lorelei A, Giovannucci, Edward, Andriole, Gerald L, Cussenot, Olivier, Cancel-Tassin, Géraldine, Koutros, Stella, Beane Freeman, Laura E, Sorensen, Karina Dalsgaard, Orntoft, Torben Falck, Borre, Michael, Maehle, Lovise, Grindedal, Eli Marie, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Martin, Richard M, Travis, Ruth C, Key, Tim J, Hamilton, Robert J, Fleshner, Neil E, Finelli, Antonio, Ingles, Sue Ann, Stern, Mariana C, Rosenstein, Barry S, Kerns, Sarah L, Ostrer, Harry, Lu, Yong-Jie, Zhang, Hong-Wei, Feng, Ninghan, Mao, Xueying, Guo, Xin, Wang, Guomin, Sun, Zan, Giles, Graham G, Southey, Melissa C, MacInnis, Robert J, FitzGerald, Liesel M, Kibel, Adam S, Drake, Bettina F, Vega, Ana, Gómez-Caamaño, Antonio, Szulkin, Robert, Eklund, Martin, Kogevinas, Manolis, Llorca, Javier, Castaño-Vinyals, Gemma, Penney, Kathryn L, Stampfer, Meir, Park, Jong Y, Sellers, Thomas A, Lin, Hui-Yi, Stanford, Janet L, and Cybulski, Cezary

Subjects
Cancer, Aging, Prostate Cancer, Genetics, Urologic Diseases, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Case-Control Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Risk, Profile Study, Australian Prostate Cancer BioResource, IMPACT Study, Canary PASS Investigators, Breast and Prostate Cancer Cohort Consortium, PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium, Cancer of the Prostate in Sweden, Prostate Cancer Genome-wide Association Study of Uncommon Susceptibility Loci, Genetic Associations and Mechanisms in Oncology (GAME-ON)/Elucidating Loci Involved in Prostate Cancer Susceptibility (ELLIPSE) Consortium, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Genome-wide association studies (GWAS) and fine-mapping efforts to date have identified more than 100 prostate cancer (PrCa)-susceptibility loci. We meta-analyzed genotype data from a custom high-density array of 46,939 PrCa cases and 27,910 controls of European ancestry with previously genotyped data of 32,255 PrCa cases and 33,202 controls of European ancestry. Our analysis identified 62 novel loci associated (P C, p.Pro1054Arg) in ATM and rs2066827 (OR = 1.06; P = 2.3 × 10-9; T>G, p.Val109Gly) in CDKN1B. The combination of all loci captured 28.4% of the PrCa familial relative risk, and a polygenic risk score conferred an elevated PrCa risk for men in the ninetieth to ninety-ninth percentiles (relative risk = 2.69; 95% confidence interval (CI): 2.55-2.82) and first percentile (relative risk = 5.71; 95% CI: 5.04-6.48) risk stratum compared with the population average. These findings improve risk prediction, enhance fine-mapping, and provide insight into the underlying biology of PrCa1.

Published
2018

12. Mendelian randomisation study of age at menarche and age at menopause and the risk of colorectal cancer

Author

Neumeyer, Sonja, Banbury, Barbara L, Arndt, Volker, Berndt, Sonja I, Bezieau, Stephane, Bien, Stephanie A, Buchanan, Dan D, Butterbach, Katja, Caan, Bette J, Campbell, Peter T, Casey, Graham, Chan, Andrew T, Chanock, Stephen J, Dai, James Y, Gallinger, Steven, Giovannucci, Edward L, Giles, Graham G, Grady, William M, Hampe, Jochen, Hoffmeister, Michael, Hopper, John L, Hsu, Li, Jenkins, Mark A, Joshi, Amit, Larsson, Susanna C, Le Marchand, Loic, Lindblom, Annika, Moreno, Victor, Lemire, Mathieu, Li, Li, Lin, Yi, Offit, Kenneth, Newcomb, Polly A, Pharaoh, Paul D, Potter, John D, Qi, Lihong, Rennert, Gad, Schafmayer, Clemens, Schoen, Robert E, Slattery, Martha L, Song, Mingyang, Ulrich, Cornelia M, Win, Aung K, White, Emily, Wolk, Alicja, Woods, Michael O, Wu, Anna H, Gruber, Stephen B, Brenner, Hermann, Peters, Ulrike, and Chang-Claude, Jenny

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Estrogen, Genetics, Contraception/Reproduction, Prevention, Clinical Research, Colo-Rectal Cancer, Digestive Diseases, Cancer, Aging, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Age Factors, Case-Control Studies, Colorectal Neoplasms, Female, Genetic Predisposition to Disease, Humans, Logistic Models, Menarche, Mendelian Randomization Analysis, Menopause, Polymorphism, Single Nucleotide, Registries, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundSubstantial evidence supports an association between use of menopausal hormone therapy and decreased colorectal cancer (CRC) risk, indicating a role of exogenous sex hormones in CRC development. However, findings on endogenous oestrogen exposure and CRC are inconsistent.MethodsWe used a Mendelian randomisation approach to test for a causal effect of age at menarche and age at menopause as surrogates for endogenous oestrogen exposure on CRC risk. Weighted genetic risk scores based on 358 single-nucleotide polymorphisms associated with age at menarche and 51 single-nucleotide polymorphisms associated with age at menopause were used to estimate the association with CRC risk using logistic regression in 12,944 women diagnosed with CRC and 10,741 women without CRC from three consortia. Sensitivity analyses were conducted to address pleiotropy and possible confounding by body mass index.ResultsGenetic risk scores for age at menarche (odds ratio per year 0.98, 95% confidence interval: 0.95-1.02) and age at menopause (odds ratio 0.98, 95% confidence interval: 0.94-1.01) were not significantly associated with CRC risk. The sensitivity analyses yielded similar results.ConclusionsOur study does not support a causal relationship between genetic risk scores for age at menarche and age at menopause and CRC risk.

Published
2018

13. Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Author

Dadaev, Tokhir, Saunders, Edward J, Newcombe, Paul J, Anokian, Ezequiel, Leongamornlert, Daniel A, Brook, Mark N, Cieza-Borrella, Clara, Mijuskovic, Martina, Wakerell, Sarah, Olama, Ali Amin Al, Schumacher, Fredrick R, Berndt, Sonja I, Benlloch, Sara, Ahmed, Mahbubl, Goh, Chee, Sheng, Xin, Zhang, Zhuo, Muir, Kenneth, Govindasami, Koveela, Lophatananon, Artitaya, Stevens, Victoria L, Gapstur, Susan M, Carter, Brian D, Tangen, Catherine M, Goodman, Phyllis, Thompson, Ian M, Batra, Jyotsna, Chambers, Suzanne, Moya, Leire, Clements, Judith, Horvath, Lisa, Tilley, Wayne, Risbridger, Gail, Gronberg, Henrik, Aly, Markus, Nordström, Tobias, Pharoah, Paul, Pashayan, Nora, Schleutker, Johanna, Tammela, Teuvo LJ, Sipeky, Csilla, Auvinen, Anssi, Albanes, Demetrius, Weinstein, Stephanie, Wolk, Alicja, Hakansson, Niclas, West, Catharine, Dunning, Alison M, Burnet, Neil, Mucci, Lorelei, Giovannucci, Edward, Andriole, Gerald, Cussenot, Olivier, Cancel-Tassin, Géraldine, Koutros, Stella, Freeman, Laura E Beane, Sorensen, Karina Dalsgaard, Orntoft, Torben Falck, Borre, Michael, Maehle, Lovise, Grindedal, Eli Marie, Neal, David E, Donovan, Jenny L, Hamdy, Freddie C, Martin, Richard M, Travis, Ruth C, Key, Tim J, Hamilton, Robert J, Fleshner, Neil E, Finelli, Antonio, Ingles, Sue Ann, Stern, Mariana C, Rosenstein, Barry, Kerns, Sarah, Ostrer, Harry, Lu, Yong-Jie, Zhang, Hong-Wei, Feng, Ninghan, Mao, Xueying, Guo, Xin, Wang, Guomin, Sun, Zan, Giles, Graham G, Southey, Melissa C, MacInnis, Robert J, FitzGerald, Liesel M, Kibel, Adam S, Drake, Bettina F, Vega, Ana, Gómez-Caamaño, Antonio, Fachal, Laura, Szulkin, Robert, Eklund, Martin, Kogevinas, Manolis, Llorca, Javier, Castaño-Vinyals, Gemma, Penney, Kathryn L, Stampfer, Meir, Park, Jong Y, and Sellers, Thomas A

Subjects
Genetics, Aging, Urologic Diseases, Prostate Cancer, Prevention, Human Genome, Cancer, Clinical Research, 2.1 Biological and endogenous factors, Aetiology, Algorithms, Bayes Theorem, Black People, Chromosome Mapping, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Molecular Sequence Annotation, Multivariate Analysis, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Quantitative Trait Loci, Risk, White People, PRACTICAL (Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome) Consortium
Abstract

Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling.

Published
2018

14. Two Novel Susceptibility Loci for Prostate Cancer in Men of African Ancestry

Author

Conti, David V, Wang, Kan, Sheng, Xin, Bensen, Jeannette T, Hazelett, Dennis J, Cook, Michael B, Ingles, Sue A, Kittles, Rick A, Strom, Sara S, Rybicki, Benjamin A, Nemesure, Barbara, Isaacs, William B, Stanford, Janet L, Zheng, Wei, Sanderson, Maureen, John, Esther M, Park, Jong Y, Xu, Jianfeng, Stevens, Victoria L, Berndt, Sonja I, Huff, Chad D, Wang, Zhaoming, Yeboah, Edward D, Tettey, Yao, Biritwum, Richard B, Adjei, Andrew A, Tay, Evelyn, Truelove, Ann, Niwa, Shelley, Sellers, Thomas A, Yamoah, Kosj, Murphy, Adam B, Crawford, Dana C, Gapstur, Susan M, Bush, William S, Aldrich, Melinda C, Cussenot, Olivier, Petrovics, Gyorgy, Cullen, Jennifer, Neslund-Dudas, Christine, Stern, Mariana C, Jarai, Zsofia-Kote, Govindasami, Koveela, Chokkalingam, Anand P, Hsing, Ann W, Goodman, Phyllis J, Hoffmann, Thomas, Drake, Bettina F, Hu, Jennifer J, Clark, Peter E, Van Den Eeden, Stephen K, Blanchet, Pascal, Fowke, Jay H, Casey, Graham, Hennis, Anselm JM, Han, Ying, Lubwama, Alexander, Thompson, Ian M, Leach, Robin, Easton, Douglas F, Schumacher, Fredrick, Van den Berg, David J, Gundell, Susan M, Stram, Alex, Wan, Peggy, Xia, Lucy, Pooler, Loreall C, Mohler, James L, Fontham, Elizabeth TH, Smith, Gary J, Taylor, Jack A, Srivastava, Shiv, Eeles, Rosalind A, Carpten, John, Kibel, Adam S, Multigner, Luc, Parent, Marie-Elise, Menegaux, Florence, Cancel-Tassin, Geraldine, Klein, Eric A, Brureau, Laurent, Stram, Daniel O, Watya, Stephen, Chanock, Stephen J, Witte, John S, Blot, William J, Henderson, Brian E, and Haiman, Christopher A

Subjects
Aging, Human Genome, Cancer, Prevention, Prostate Cancer, Biotechnology, Clinical Research, Genetics, Urologic Diseases, 2.1 Biological and endogenous factors, Aetiology, Blacks, Case-Control Studies, Checkpoint Kinase 2, Chromosomes, Human, Pair 13, Chromosomes, Human, Pair 22, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Insulin Receptor Substrate Proteins, Male, Polymorphism, Single Nucleotide, Prostatic Neoplasms, PRACTICAL/ELLIPSE Consortium, Black People, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

Prostate cancer incidence is 1.6-fold higher in African Americans than in other populations. The risk factors that drive this disparity are unknown and potentially consist of social, environmental, and genetic influences. To investigate the genetic basis of prostate cancer in men of African ancestry, we performed a genome-wide association meta-analysis using two-sided statistical tests in 10 202 case subjects and 10 810 control subjects. We identified novel signals on chromosomes 13q34 and 22q12, with the risk-associated alleles found only in men of African ancestry (13q34: rs75823044, risk allele frequency = 2.2%, odds ratio [OR] = 1.55, 95% confidence interval [CI] = 1.37 to 1.76, P = 6.10 × 10-12; 22q12.1: rs78554043, risk allele frequency = 1.5%, OR = 1.62, 95% CI = 1.39 to 1.89, P = 7.50 × 10-10). At 13q34, the signal is located 5' of the gene IRS2 and 3' of a long noncoding RNA, while at 22q12 the candidate functional allele is a missense variant in the CHEK2 gene. These findings provide further support for the role of ancestry-specific germline variation in contributing to population differences in prostate cancer risk.

Published
2017

15. Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium.

Author

Ng, Maggie CY, Graff, Mariaelisa, Lu, Yingchang, Justice, Anne E, Mudgal, Poorva, Liu, Ching-Ti, Young, Kristin, Yanek, Lisa R, Feitosa, Mary F, Wojczynski, Mary K, Rand, Kristin, Brody, Jennifer A, Cade, Brian E, Dimitrov, Latchezar, Duan, Qing, Guo, Xiuqing, Lange, Leslie A, Nalls, Michael A, Okut, Hayrettin, Tajuddin, Salman M, Tayo, Bamidele O, Vedantam, Sailaja, Bradfield, Jonathan P, Chen, Guanjie, Chen, Wei-Min, Chesi, Alessandra, Irvin, Marguerite R, Padhukasahasram, Badri, Smith, Jennifer A, Zheng, Wei, Allison, Matthew A, Ambrosone, Christine B, Bandera, Elisa V, Bartz, Traci M, Berndt, Sonja I, Bernstein, Leslie, Blot, William J, Bottinger, Erwin P, Carpten, John, Chanock, Stephen J, Chen, Yii-Der Ida, Conti, David V, Cooper, Richard S, Fornage, Myriam, Freedman, Barry I, Garcia, Melissa, Goodman, Phyllis J, Hsu, Yu-Han H, Hu, Jennifer, Huff, Chad D, Ingles, Sue A, John, Esther M, Kittles, Rick, Klein, Eric, Li, Jin, McKnight, Barbara, Nayak, Uma, Nemesure, Barbara, Ogunniyi, Adesola, Olshan, Andrew, Press, Michael F, Rohde, Rebecca, Rybicki, Benjamin A, Salako, Babatunde, Sanderson, Maureen, Shao, Yaming, Siscovick, David S, Stanford, Janet L, Stevens, Victoria L, Stram, Alex, Strom, Sara S, Vaidya, Dhananjay, Witte, John S, Yao, Jie, Zhu, Xiaofeng, Ziegler, Regina G, Zonderman, Alan B, Adeyemo, Adebowale, Ambs, Stefan, Cushman, Mary, Faul, Jessica D, Hakonarson, Hakon, Levin, Albert M, Nathanson, Katherine L, Ware, Erin B, Weir, David R, Zhao, Wei, Zhi, Degui, Bone Mineral Density in Childhood Study (BMDCS) Group, Arnett, Donna K, Grant, Struan FA, Kardia, Sharon LR, Oloapde, Olufunmilayo I, Rao, DC, Rotimi, Charles N, Sale, Michele M, Williams, L Keoki, Zemel, Babette S, Becker, Diane M, and Borecki, Ingrid B

Subjects
Bone Mineral Density in Childhood Study (BMDCS) Group, Humans, Obesity, Genetic Predisposition to Disease, Serine Endopeptidases, Anthropometry, Body Mass Index, Waist-Hip Ratio, Chromosome Mapping, Gene Frequency, Linkage Disequilibrium, Polymorphism, Single Nucleotide, African Continental Ancestry Group, European Continental Ancestry Group, Female, Male, Adiposity, Genome-Wide Association Study, Transcription Factor 7-Like 2 Protein, Genetics, Human Genome, 2.1 Biological and endogenous factors, Developmental Biology
Abstract

Genome-wide association studies (GWAS) have identified >300 loci associated with measures of adiposity including body mass index (BMI) and waist-to-hip ratio (adjusted for BMI, WHRadjBMI), but few have been identified through screening of the African ancestry genomes. We performed large scale meta-analyses and replications in up to 52,895 individuals for BMI and up to 23,095 individuals for WHRadjBMI from the African Ancestry Anthropometry Genetics Consortium (AAAGC) using 1000 Genomes phase 1 imputed GWAS to improve coverage of both common and low frequency variants in the low linkage disequilibrium African ancestry genomes. In the sex-combined analyses, we identified one novel locus (TCF7L2/HABP2) for WHRadjBMI and eight previously established loci at P < 5×10-8: seven for BMI, and one for WHRadjBMI in African ancestry individuals. An additional novel locus (SPRYD7/DLEU2) was identified for WHRadjBMI when combined with European GWAS. In the sex-stratified analyses, we identified three novel loci for BMI (INTS10/LPL and MLC1 in men, IRX4/IRX2 in women) and four for WHRadjBMI (SSX2IP, CASC8, PDE3B and ZDHHC1/HSD11B2 in women) in individuals of African ancestry or both African and European ancestry. For four of the novel variants, the minor allele frequency was low (

Published
2017

16. Genome-wide association study of prostate-specific antigen levels identifies novel loci independent of prostate cancer.

Author

Hoffmann, Thomas J, Passarelli, Michael N, Graff, Rebecca E, Emami, Nima C, Sakoda, Lori C, Jorgenson, Eric, Habel, Laurel A, Shan, Jun, Ranatunga, Dilrini K, Quesenberry, Charles P, Chao, Chun R, Ghai, Nirupa R, Aaronson, David, Presti, Joseph, Nordström, Tobias, Wang, Zhaoming, Berndt, Sonja I, Chanock, Stephen J, Mosley, Jonathan D, Klein, Robert J, Middha, Mridu, Lilja, Hans, Melander, Olle, Kvale, Mark N, Kwok, Pui-Yan, Schaefer, Catherine, Risch, Neil, Van Den Eeden, Stephen K, and Witte, John S

Subjects
Prostate, Humans, Prostatic Neoplasms, Prostate-Specific Antigen, Gene Expression, Gene Frequency, Polymorphism, Single Nucleotide, Alleles, Adult, Aged, Aged, 80 and over, Middle Aged, African Continental Ancestry Group, Asian Continental Ancestry Group, European Continental Ancestry Group, Male, Genome-Wide Association Study, Genetic Loci, Biomarkers, Tumor
Abstract

Prostate-specific antigen (PSA) levels have been used for detection and surveillance of prostate cancer (PCa). However, factors other than PCa-such as genetics-can impact PSA. Here we present findings from a genome-wide association study (GWAS) of PSA in 28,503 Kaiser Permanente whites and 17,428 men from replication cohorts. We detect 40 genome-wide significant (P

Published
2017

17. A Meta-analysis of Multiple Myeloma Risk Regions in African and European Ancestry Populations Identifies Putatively Functional Loci

Author

Rand, Kristin A, Song, Chi, Dean, Eric, Serie, Daniel J, Curtin, Karen, Sheng, Xin, Hu, Donglei, Huff, Carol Ann, Bernal-Mizrachi, Leon, Tomasson, Michael H, Ailawadhi, Sikander, Singhal, Seema, Pawlish, Karen, Peters, Edward S, Bock, Cathryn H, Stram, Alex, Van Den Berg, David J, Edlund, Christopher K, Conti, David V, Zimmerman, Todd, Hwang, Amie E, Huntsman, Scott, Graff, John, Nooka, Ajay, Kong, Yinfei, Pregja, Silvana L, Berndt, Sonja I, Blot, William J, Carpten, John, Casey, Graham, Chu, Lisa, Diver, W Ryan, Stevens, Victoria L, Lieber, Michael R, Goodman, Phyllis J, Hennis, Anselm JM, Hsing, Ann W, Mehta, Jayesh, Kittles, Rick A, Kolb, Suzanne, Klein, Eric A, Leske, Cristina, Murphy, Adam B, Nemesure, Barbara, Neslund-Dudas, Christine, Strom, Sara S, Vij, Ravi, Rybicki, Benjamin A, Stanford, Janet L, Signorello, Lisa B, Witte, John S, Ambrosone, Christine B, Bhatti, Parveen, John, Esther M, Bernstein, Leslie, Zheng, Wei, Olshan, Andrew F, Hu, Jennifer J, Ziegler, Regina G, Nyante, Sarah J, Bandera, Elisa V, Birmann, Brenda M, Ingles, Sue A, Press, Michael F, Atanackovic, Djordje, Glenn, Martha J, Cannon-Albright, Lisa A, Jones, Brandt, Tricot, Guido, Martin, Thomas G, Kumar, Shaji K, Wolf, Jeffrey L, Deming Halverson, Sandra L, Rothman, Nathaniel, Brooks-Wilson, Angela R, Rajkumar, S Vincent, Kolonel, Laurence N, Chanock, Stephen J, Slager, Susan L, Severson, Richard K, Janakiraman, Nalini, Terebelo, Howard R, Brown, Elizabeth E, De Roos, Anneclaire J, Mohrbacher, Ann F, Colditz, Graham A, Giles, Graham G, Spinelli, John J, Chiu, Brian C, Munshi, Nikhil C, Anderson, Kenneth C, Levy, Joan, Zonder, Jeffrey A, Orlowski, Robert Z, Lonial, Sagar, Camp, Nicola J, Vachon, Celine M, Ziv, Elad, Stram, Daniel O, and Hazelett, Dennis J

Subjects
Biomedical and Clinical Sciences, Cancer, Clinical Research, Genetics, Rare Diseases, Hematology, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Adult, Aged, Black People, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Multiple Myeloma, Polycomb Repressive Complex 1, Polymorphism, Single Nucleotide, Protein Serine-Threonine Kinases, Repressor Proteins, Transmembrane Activator and CAML Interactor Protein, White People, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundGenome-wide association studies (GWAS) in European populations have identified genetic risk variants associated with multiple myeloma.MethodsWe performed association testing of common variation in eight regions in 1,318 patients with multiple myeloma and 1,480 controls of European ancestry and 1,305 patients with multiple myeloma and 7,078 controls of African ancestry and conducted a meta-analysis to localize the signals, with epigenetic annotation used to predict functionality.ResultsWe found that variants in 7p15.3, 17p11.2, 22q13.1 were statistically significantly (P < 0.05) associated with multiple myeloma risk in persons of African ancestry and persons of European ancestry, and the variant in 3p22.1 was associated in European ancestry only. In a combined African ancestry-European ancestry meta-analysis, variation in five regions (2p23.3, 3p22.1, 7p15.3, 17p11.2, 22q13.1) was statistically significantly associated with multiple myeloma risk. In 3p22.1, the correlated variants clustered within the gene body of ULK4 Correlated variants in 7p15.3 clustered around an enhancer at the 3' end of the CDCA7L transcription termination site. A missense variant at 17p11.2 (rs34562254, Pro251Leu, OR, 1.32; P = 2.93 × 10-7) in TNFRSF13B encodes a lymphocyte-specific protein in the TNF receptor family that interacts with the NF-κB pathway. SNPs correlated with the index signal in 22q13.1 cluster around the promoter and enhancer regions of CBX7 CONCLUSIONS: We found that reported multiple myeloma susceptibility regions contain risk variants important across populations, supporting the use of multiple racial/ethnic groups with different underlying genetic architecture to enhance the localization and identification of putatively functional alleles.ImpactA subset of reported risk loci for multiple myeloma has consistent effects across populations and is likely to be functional. Cancer Epidemiol Biomarkers Prev; 25(12); 1609-18. ©2016 AACR.

Published
2016

18. Prostate Cancer Susceptibility in Men of African Ancestry at 8q24

Author

Han, Ying, Rand, Kristin A, Hazelett, Dennis J, Ingles, Sue A, Kittles, Rick A, Strom, Sara S, Rybicki, Benjamin A, Nemesure, Barbara, Isaacs, William B, Stanford, Janet L, Zheng, Wei, Schumacher, Fredrick R, Berndt, Sonja I, Wang, Zhaoming, Xu, Jianfeng, Rohland, Nadin, Reich, David, Tandon, Arti, Pasaniuc, Bogdan, Allen, Alex, Quinque, Dominique, Mallick, Swapan, Notani, Dimple, Rosenfeld, Michael G, Jayani, Ranveer Singh, Kolb, Suzanne, Gapstur, Susan M, Stevens, Victoria L, Pettaway, Curtis A, Yeboah, Edward D, Tettey, Yao, Biritwum, Richard B, Adjei, Andrew A, Tay, Evelyn, Truelove, Ann, Niwa, Shelley, Chokkalingam, Anand P, John, Esther M, Murphy, Adam B, Signorello, Lisa B, Carpten, John, Leske, M Cristina, Wu, Suh-Yuh, Hennis, Anslem JM, Neslund-Dudas, Christine, Hsing, Ann W, Chu, Lisa, Goodman, Phyllis J, Klein, Eric A, Zheng, S Lilly, Witte, John S, Casey, Graham, Lubwama, Alex, Pooler, Loreall C, Sheng, Xin, Coetzee, Gerhard A, Cook, Michael B, Chanock, Stephen J, Stram, Daniel O, Watya, Stephen, Blot, William J, Conti, David V, Henderson, Brian E, and Haiman, Christopher A

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Clinical Research, Cancer, Prostate Cancer, Aging, Urologic Diseases, Human Genome, Prevention, Genetics, Aetiology, 2.1 Biological and endogenous factors, Black or African American, Aged, Aged, 80 and over, Case-Control Studies, Chromosomes, Human, Pair 8, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Prostatic Neoplasms, RNA, Long Noncoding, United States, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

The 8q24 region harbors multiple risk variants for distinct cancers, including >8 for prostate cancer. In this study, we conducted fine mapping of the 8q24 risk region (127.8-128.8Mb) in search of novel associations with common and rare variation in 4853 prostate cancer case patients and 4678 control subjects of African ancestry. All statistical tests were two-sided. We identified three independent associations at P values of less than 5.00×10(-8), all of which were replicated in studies from Ghana and Uganda (combined sample = 5869 case patients, 5615 control subjects; rs114798100: risk allele frequency [RAF] = 0.04, per-allele odds ratio [OR] = 2.31, 95% confidence interval [CI] = 2.04 to 2.61, P = 2.38×10(-40); rs72725879: RAF = 0.33, OR = 1.37, 95% CI = 1.30 to 1.45, P = 3.04×10(-27); and rs111906932: RAF = 0.03, OR = 1.79, 95% CI = 1.53 to 2.08, P = 1.39×10(-13)). Risk variants rs114798100 and rs111906923 are only found in men of African ancestry, with rs111906923 representing a novel association signal. The three variants are located within or near a number of prostate cancer-associated long noncoding RNAs (lncRNAs), including PRNCR1, PCAT1, and PCAT2. These findings highlight ancestry-specific risk variation and implicate prostate-specific lncRNAs at the 8q24 prostate cancer susceptibility region.

Published
2016

19. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for 13 Cancer Types

Author

Sampson, Joshua N, Wheeler, William A, Yeager, Meredith, Panagiotou, Orestis, Wang, Zhaoming, Berndt, Sonja I, Lan, Qing, Abnet, Christian C, Amundadottir, Laufey T, Figueroa, Jonine D, Landi, Maria Teresa, Mirabello, Lisa, Savage, Sharon A, Taylor, Philip R, De Vivo, Immaculata, McGlynn, Katherine A, Purdue, Mark P, Rajaraman, Preetha, Adami, Hans-Olov, Ahlbom, Anders, Albanes, Demetrius, Amary, Maria Fernanda, An, She-Juan, Andersson, Ulrika, Andriole, Gerald, Andrulis, Irene L, Angelucci, Emanuele, Ansell, Stephen M, Arici, Cecilia, Armstrong, Bruce K, Arslan, Alan A, Austin, Melissa A, Baris, Dalsu, Barkauskas, Donald A, Bassig, Bryan A, Becker, Nikolaus, Benavente, Yolanda, Benhamou, Simone, Berg, Christine, Van Den Berg, David, Bernstein, Leslie, Bertrand, Kimberly A, Birmann, Brenda M, Black, Amanda, Boeing, Heiner, Boffetta, Paolo, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Brinton, Louise, Brooks-Wilson, Angela R, Bueno-de-Mesquita, H Bas, Burdett, Laurie, Buring, Julie, Butler, Mary Ann, Cai, Qiuyin, Cancel-Tassin, Geraldine, Canzian, Federico, Carrato, Alfredo, Carreon, Tania, Carta, Angela, Chan, John KC, Chang, Ellen T, Chang, Gee-Chen, Chang, I-Shou, Chang, Jiang, Chang-Claude, Jenny, Chen, Chien-Jen, Chen, Chih-Yi, Chen, Chu, Chen, Chung-Hsing, Chen, Constance, Chen, Hongyan, Chen, Kexin, Chen, Kuan-Yu, Chen, Kun-Chieh, Chen, Ying, Chen, Ying-Hsiang, Chen, Yi-Song, Chen, Yuh-Min, Chien, Li-Hsin, Chirlaque, María-Dolores, Choi, Jin Eun, Choi, Yi Young, Chow, Wong-Ho, Chung, Charles C, Clavel, Jacqueline, Clavel-Chapelon, Françoise, Cocco, Pierluigi, Colt, Joanne S, Comperat, Eva, Conde, Lucia, Connors, Joseph M, Conti, David, Cortessis, Victoria K, Cotterchio, Michelle, Cozen, Wendy, Crouch, Simon, Crous-Bou, Marta, Cussenot, Olivier, and Davis, Faith G

Subjects
Tobacco, Clinical Research, Urologic Diseases, Lung, Genetics, Rare Diseases, Lung Cancer, Human Genome, Hematology, Cancer, Tobacco Smoke and Health, Prevention, Lymphoma, Adult, Aged, Asian People, Bone Neoplasms, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Kidney Neoplasms, Leukemia, Lymphocytic, Chronic, B-Cell, Lung Neoplasms, Lymphoma, Large B-Cell, Diffuse, Male, Middle Aged, Neoplasms, Osteosarcoma, Polymorphism, Single Nucleotide, Smoking, Testicular Neoplasms, Tissue Array Analysis, Urinary Bladder Neoplasms, White People, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

BackgroundStudies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.MethodsBetween 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.ResultsGWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.ConclusionOur results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.

Published
2015

20. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for Thirteen Cancer Types.

Author

Sampson, Joshua N, Wheeler, William A, Yeager, Meredith, Panagiotou, Orestis, Wang, Zhaoming, Berndt, Sonja I, Lan, Qing, Abnet, Christian C, Amundadottir, Laufey T, Figueroa, Jonine D, Landi, Maria Teresa, Mirabello, Lisa, Savage, Sharon A, Taylor, Philip R, De Vivo, Immaculata, McGlynn, Katherine A, Purdue, Mark P, Rajaraman, Preetha, Adami, Hans-Olov, Ahlbom, Anders, Albanes, Demetrius, Amary, Maria Fernanda, An, She-Juan, Andersson, Ulrika, Andriole, Gerald, Andrulis, Irene L, Angelucci, Emanuele, Ansell, Stephen M, Arici, Cecilia, Armstrong, Bruce K, Arslan, Alan A, Austin, Melissa A, Baris, Dalsu, Barkauskas, Donald A, Bassig, Bryan A, Becker, Nikolaus, Benavente, Yolanda, Benhamou, Simone, Berg, Christine, Van Den Berg, David, Bernstein, Leslie, Bertrand, Kimberly A, Birmann, Brenda M, Black, Amanda, Boeing, Heiner, Boffetta, Paolo, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Brinton, Louise, Brooks-Wilson, Angela R, Bueno-de-Mesquita, H Bas, Burdett, Laurie, Buring, Julie, Butler, Mary Ann, Cai, Qiuyin, Cancel-Tassin, Geraldine, Canzian, Federico, Carrato, Alfredo, Carreon, Tania, Carta, Angela, Chan, John KC, Chang, Ellen T, Chang, Gee-Chen, Chang, I-Shou, Chang, Jiang, Chang-Claude, Jenny, Chen, Chien-Jen, Chen, Chih-Yi, Chen, Chu, Chen, Chung-Hsing, Chen, Constance, Chen, Hongyan, Chen, Kexin, Chen, Kuan-Yu, Chen, Kun-Chieh, Chen, Ying, Chen, Ying-Hsiang, Chen, Yi-Song, Chen, Yuh-Min, Chien, Li-Hsin, Chirlaque, María-Dolores, Choi, Jin Eun, Choi, Yi Young, Chow, Wong-Ho, Chung, Charles C, Clavel, Jacqueline, Clavel-Chapelon, Françoise, Cocco, Pierluigi, Colt, Joanne S, Comperat, Eva, Conde, Lucia, Connors, Joseph M, Conti, David, Cortessis, Victoria K, Cotterchio, Michelle, Cozen, Wendy, Crouch, Simon, Crous-Bou, Marta, Cussenot, Olivier, and Davis, Faith G

Subjects
Humans, Neoplasms, Osteosarcoma, Bone Neoplasms, Testicular Neoplasms, Lung Neoplasms, Kidney Neoplasms, Genetic Predisposition to Disease, Tissue Array Analysis, Smoking, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, Asian Continental Ancestry Group, European Continental Ancestry Group, Female, Male, Urinary Bladder Neoplasms, Leukemia, Lymphocytic, Chronic, B-Cell, Lymphoma, Large B-Cell, Diffuse, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Leukemia, Lymphocytic, Chronic, B-Cell, Lymphoma, Large B-Cell, Diffuse, Oncology And Carcinogenesis, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

BackgroundStudies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.MethodsBetween 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers.ResultsGWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl (2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures.ConclusionOur results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.

Published
2015

21. Integration of multiethnic fine-mapping and genomic annotation to prioritize candidate functional SNPs at prostate cancer susceptibility regions

Author

Han, Ying, Hazelett, Dennis J, Wiklund, Fredrik, Schumacher, Fredrick R, Stram, Daniel O, Berndt, Sonja I, Wang, Zhaoming, Rand, Kristin A, Hoover, Robert N, Machiela, Mitchell J, Yeager, Merideth, Burdette, Laurie, Chung, Charles C, Hutchinson, Amy, Yu, Kai, Xu, Jianfeng, Travis, Ruth C, Key, Timothy J, Siddiq, Afshan, Canzian, Federico, Takahashi, Atsushi, Kubo, Michiaki, Stanford, Janet L, Kolb, Suzanne, Gapstur, Susan M, Diver, W Ryan, Stevens, Victoria L, Strom, Sara S, Pettaway, Curtis A, Olama, Ali Amin Al, Kote-Jarai, Zsofia, Eeles, Rosalind A, Yeboah, Edward D, Tettey, Yao, Biritwum, Richard B, Adjei, Andrew A, Tay, Evelyn, Truelove, Ann, Niwa, Shelley, Chokkalingam, Anand P, Isaacs, William B, Chen, Constance, Lindstrom, Sara, Le Marchand, Loic, Giovannucci, Edward L, Pomerantz, Mark, Long, Henry, Li, Fugen, Ma, Jing, Stampfer, Meir, John, Esther M, Ingles, Sue A, Kittles, Rick A, Murphy, Adam B, Blot, William J, Signorello, Lisa B, Zheng, Wei, Albanes, Demetrius, Virtamo, Jarmo, Weinstein, Stephanie, Nemesure, Barbara, Carpten, John, Leske, M Cristina, Wu, Suh-Yuh, Hennis, Anselm JM, Rybicki, Benjamin A, Neslund-Dudas, Christine, Hsing, Ann W, Chu, Lisa, Goodman, Phyllis J, Klein, Eric A, Zheng, S Lilly, Witte, John S, Casey, Graham, Riboli, Elio, Li, Qiyuan, Freedman, Matthew L, Hunter, David J, Gronberg, Henrik, Cook, Michael B, Nakagawa, Hidewaki, Kraft, Peter, Chanock, Stephen J, Easton, Douglas F, Henderson, Brian E, Coetzee, Gerhard A, Conti, David V, and Haiman, Christopher A

Subjects
Cancer, Human Genome, Biotechnology, Genetics, Urologic Diseases, Prostate Cancer, 2.1 Biological and endogenous factors, Aetiology, Asian People, Black People, Chromosome Mapping, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Hispanic or Latino, Humans, Linkage Disequilibrium, Male, Molecular Sequence Annotation, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Quantitative Trait Loci, White People, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Interpretation of biological mechanisms underlying genetic risk associations for prostate cancer is complicated by the relatively large number of risk variants (n = 100) and the thousands of surrogate SNPs in linkage disequilibrium. Here, we combined three distinct approaches: multiethnic fine-mapping, putative functional annotation (based upon epigenetic data and genome-encoded features), and expression quantitative trait loci (eQTL) analyses, in an attempt to reduce this complexity. We examined 67 risk regions using genotyping and imputation-based fine-mapping in populations of European (cases/controls: 8600/6946), African (cases/controls: 5327/5136), Japanese (cases/controls: 2563/4391) and Latino (cases/controls: 1034/1046) ancestry. Markers at 55 regions passed a region-specific significance threshold (P-value cutoff range: 3.9 × 10(-4)-5.6 × 10(-3)) and in 30 regions we identified markers that were more significantly associated with risk than the previously reported variants in the multiethnic sample. Novel secondary signals (P < 5.0 × 10(-6)) were also detected in two regions (rs13062436/3q21 and rs17181170/3p12). Among 666 variants in the 55 regions with P-values within one order of magnitude of the most-associated marker, 193 variants (29%) in 48 regions overlapped with epigenetic or other putative functional marks. In 11 of the 55 regions, cis-eQTLs were detected with nearby genes. For 12 of the 55 regions (22%), the most significant region-specific, prostate-cancer associated variant represented the strongest candidate functional variant based on our annotations; the number of regions increased to 20 (36%) and 27 (49%) when examining the 2 and 3 most significantly associated variants in each region, respectively. These results have prioritized subsets of candidate variants for downstream functional evaluation.

Published
2015

22. Identification of a common variant with potential pleiotropic effect on risk of inflammatory bowel disease and colorectal cancer

Author

Khalili, Hamed, Gong, Jian, Brenner, Hermann, Austin, Thomas R, Hutter, Carolyn M, Baba, Yoshifumi, Baron, John A, Berndt, Sonja I, Bézieau, Stéphane, Caan, Bette, Campbell, Peter T, Chang-Claude, Jenny, Chanock, Stephen J, Chen, Constance, Hsu, Li, Jiao, Shuo, Conti, David V, Duggan, David, Fuchs, Charles S, Gala, Manish, Gallinger, Steven, Haile, Robert W, Harrison, Tabitha A, Hayes, Richard, Hazra, Aditi, Henderson, Brian, Haiman, Chris, Hoffmeister, Michael, Hopper, John L, Jenkins, Mark A, Kolonel, Laurence N, Küry, Sébastien, LaCroix, Andrea, Le Marchand, Loic, Lemire, Mathieu, Lindor, Noralane M, Ma, Jing, Manson, JoAnn E, Morikawa, Teppei, Nan, Hongmei, Ng, Kimmie, Newcomb, Polly A, Nishihara, Reiko, Potter, John D, Qu, Conghui, Schoen, Robert E, Schumacher, Fredrick R, Seminara, Daniela, Taverna, Darin, Thibodeau, Stephen, Wactawski-Wende, Jean, White, Emily, Wu, Kana, Zanke, Brent W, Casey, Graham, Hudson, Thomas J, Kraft, Peter, Peters, Ulrike, Slattery, Martha L, Ogino, Shuji, and Chan, Andrew T

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Inflammatory Bowel Disease, Digestive Diseases, Clinical Research, Cancer, Genetics, Human Genome, Prevention, Colo-Rectal Cancer, Autoimmune Disease, Crohn's Disease, Aetiology, 2.1 Biological and endogenous factors, Colitis, Ulcerative, Colorectal Neoplasms, Crohn Disease, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Microsatellite Instability, Microsatellite Repeats, Polymorphism, Single Nucleotide, Risk, White People, GECCO and CCFR, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

Although genome-wide association studies (GWAS) have separately identified many genetic susceptibility loci for ulcerative colitis (UC), Crohn's disease (CD) and colorectal cancer (CRC), there has been no large-scale examination for pleiotropy, or shared genetic susceptibility, for these conditions. We used logistic regression modeling to examine the associations of 181 UC and CD susceptibility variants previously identified by GWAS with risk of CRC using data from the Genetics and Epidemiology of Colorectal Cancer Consortium and the Colon Cancer Family Registry. We also examined associations of significant variants with clinical and molecular characteristics in a subset of the studies. Among 11794 CRC cases and 14190 controls, rs11676348, the susceptibility single nucleotide polymorphism (SNP) for UC, was significantly associated with reduced risk of CRC (P = 7E-05). The multivariate-adjusted odds ratio of CRC with each copy of the T allele was 0.93 (95% CI 0.89-0.96). The association of the SNP with risk of CRC differed according to mucinous histological features (P heterogeneity = 0.008). In addition, the (T) allele was associated with lower risk of tumors with Crohn's-like reaction but not tumors without such immune infiltrate (P heterogeneity = 0.02) and microsatellite instability-high (MSI-high) but not microsatellite stable or MSI-low tumors (P heterogeneity = 0.03). The minor allele (T) in SNP rs11676348, located downstream from CXCR2 that has been implicated in CRC progression, is associated with a lower risk of CRC, particularly tumors with a mucinous component, Crohn's-like reaction and MSI-high. Our findings offer the promise of risk stratification of inflammatory bowel disease patients for complications such as CRC.

Published
2015

23. A Large Multiethnic Genome-Wide Association Study of Prostate Cancer Identifies Novel Risk Variants and Substantial Ethnic Differences

Author

Hoffmann, Thomas J, Van Den Eeden, Stephen K, Sakoda, Lori C, Jorgenson, Eric, Habel, Laurel A, Graff, Rebecca E, Passarelli, Michael N, Cario, Clinton L, Emami, Nima C, Chao, Chun R, Ghai, Nirupa R, Shan, Jun, Ranatunga, Dilrini K, Quesenberry, Charles P, Aaronson, David, Presti, Joseph, Wang, Zhaoming, Berndt, Sonja I, Chanock, Stephen J, McDonnell, Shannon K, French, Amy J, Schaid, Daniel J, Thibodeau, Stephen N, Li, Qiyuan, Freedman, Matthew L, Penney, Kathryn L, Mucci, Lorelei A, Haiman, Christopher A, Henderson, Brian E, Seminara, Daniela, Kvale, Mark N, Kwok, Pui-Yan, Schaefer, Catherine, Risch, Neil, and Witte, John S

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Cancer, Minority Health, Urologic Diseases, Prevention, Prostate Cancer, Aging, Clinical Research, Human Genome, Health Disparities, Adult, Aged, Alleles, Biomarkers, Tumor, Case-Control Studies, Ethnicity, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, INDEL Mutation, Male, Middle Aged, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Quantitative Trait Loci, Reproducibility of Results, Risk, Biochemistry and cell biology, Oncology and carcinogenesis
Abstract

UnlabelledA genome-wide association study (GWAS) of prostate cancer in Kaiser Permanente health plan members (7,783 cases, 38,595 controls; 80.3% non-Hispanic white, 4.9% African-American, 7.0% East Asian, and 7.8% Latino) revealed a new independent risk indel rs4646284 at the previously identified locus 6q25.3 that replicated in PEGASUS (N = 7,539) and the Multiethnic Cohort (N = 4,679) with an overall P = 1.0 × 10(-19) (OR, 1.18). Across the 6q25.3 locus, rs4646284 exhibited the strongest association with expression of SLC22A1 (P = 1.3 × 10(-23)) and SLC22A3 (P = 3.2 × 10(-52)). At the known 19q13.33 locus, rs2659124 (P = 1.3 × 10(-13); OR, 1.18) nominally replicated in PEGASUS. A risk score of 105 known risk SNPs was strongly associated with prostate cancer (P < 1.0 × 10(-8)). Comparing the highest to lowest risk score deciles, the OR was 6.22 for non-Hispanic whites, 5.82 for Latinos, 3.77 for African-Americans, and 3.38 for East Asians. In non-Hispanic whites, the 105 risk SNPs explained approximately 7.6% of disease heritability. The entire GWAS array explained approximately 33.4% of heritability, with a 4.3-fold enrichment within DNaseI hypersensitivity sites (P = 0.004).SignificanceTaken together, our findings of independent risk variants, ethnic variation in existing SNP replication, and remaining unexplained heritability have important implications for further clarifying the genetic risk of prostate cancer. Our findings also suggest that there may be much promise in evaluating understudied variation, such as indels and ethnically diverse populations.

Published
2015

24. Genome-wide association study of colorectal cancer identifies six new susceptibility loci.

Author

Schumacher, Fredrick R, Schmit, Stephanie L, Jiao, Shuo, Edlund, Christopher K, Wang, Hansong, Zhang, Ben, Hsu, Li, Huang, Shu-Chen, Fischer, Christopher P, Harju, John F, Idos, Gregory E, Lejbkowicz, Flavio, Manion, Frank J, McDonnell, Kevin, McNeil, Caroline E, Melas, Marilena, Rennert, Hedy S, Shi, Wei, Thomas, Duncan C, Van Den Berg, David J, Hutter, Carolyn M, Aragaki, Aaron K, Butterbach, Katja, Caan, Bette J, Carlson, Christopher S, Chanock, Stephen J, Curtis, Keith R, Fuchs, Charles S, Gala, Manish, Giovannucci, Edward L, Gogarten, Stephanie M, Hayes, Richard B, Henderson, Brian, Hunter, David J, Jackson, Rebecca D, Kolonel, Laurence N, Kooperberg, Charles, Küry, Sébastien, LaCroix, Andrea, Laurie, Cathy C, Laurie, Cecelia A, Lemire, Mathieu, Levine, David, Ma, Jing, Makar, Karen W, Qu, Conghui, Taverna, Darin, Ulrich, Cornelia M, Wu, Kana, Kono, Suminori, West, Dee W, Berndt, Sonja I, Bezieau, Stéphane, Brenner, Hermann, Campbell, Peter T, Chan, Andrew T, Chang-Claude, Jenny, Coetzee, Gerhard A, Conti, David V, Duggan, David, Figueiredo, Jane C, Fortini, Barbara K, Gallinger, Steven J, Gauderman, W James, Giles, Graham, Green, Roger, Haile, Robert, Harrison, Tabitha A, Hoffmeister, Michael, Hopper, John L, Hudson, Thomas J, Jacobs, Eric, Iwasaki, Motoki, Jee, Sun Ha, Jenkins, Mark, Jia, Wei-Hua, Joshi, Amit, Li, Li, Lindor, Noralene M, Matsuo, Keitaro, Moreno, Victor, Mukherjee, Bhramar, Newcomb, Polly A, Potter, John D, Raskin, Leon, Rennert, Gad, Rosse, Stephanie, Severi, Gianluca, Schoen, Robert E, Seminara, Daniela, Shu, Xiao-Ou, Slattery, Martha L, Tsugane, Shoichiro, White, Emily, Xiang, Yong-Bing, Zanke, Brent W, and Zheng, Wei

Subjects
Humans, Colorectal Neoplasms, Genetic Predisposition to Disease, Odds Ratio, Case-Control Studies, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetics, Digestive Diseases, Prevention, Cancer, Human Genome, Colo-Rectal Cancer, 2.1 Biological and endogenous factors, MD Multidisciplinary
Abstract

Genetic susceptibility to colorectal cancer is caused by rare pathogenic mutations and common genetic variants that contribute to familial risk. Here we report the results of a two-stage association study with 18,299 cases of colorectal cancer and 19,656 controls, with follow-up of the most statistically significant genetic loci in 4,725 cases and 9,969 controls from two Asian consortia. We describe six new susceptibility loci reaching a genome-wide threshold of P

Published
2015

25. Associations of prostate cancer risk variants with disease aggressiveness: results of the NCI-SPORE Genetics Working Group analysis of 18,343 cases.

Author

Helfand, Brian T, Roehl, Kimberly A, Cooper, Phillip R, McGuire, Barry B, Fitzgerald, Liesel M, Cancel-Tassin, Geraldine, Cornu, Jean-Nicolas, Bauer, Scott, Van Blarigan, Erin L, Chen, Xin, Duggan, David, Ostrander, Elaine A, Gwo-Shu, Mary, Zhang, Zuo-Feng, Chang, Shen-Chih, Jeong, Somee, Fontham, Elizabeth TH, Smith, Gary, Mohler, James L, Berndt, Sonja I, McDonnell, Shannon K, Kittles, Rick, Rybicki, Benjamin A, Freedman, Matthew, Kantoff, Philip W, Pomerantz, Mark, Breyer, Joan P, Smith, Jeffrey R, Rebbeck, Timothy R, Mercola, Dan, Isaacs, William B, Wiklund, Fredrick, Cussenot, Olivier, Thibodeau, Stephen N, Schaid, Daniel J, Cannon-Albright, Lisa, Cooney, Kathleen A, Chanock, Stephen J, Stanford, Janet L, Chan, June M, Witte, John, Xu, Jianfeng, Bensen, Jeannette T, Taylor, Jack A, and Catalona, William J

Subjects
Humans, Prostatic Neoplasms, Neoplasm Invasiveness, Genetic Predisposition to Disease, Risk Factors, Cohort Studies, Polymorphism, Single Nucleotide, Adult, Aged, Aged, 80 and over, Middle Aged, United States, Male, National Cancer Institute (U.S.), Genetic Association Studies, Polymorphism, Single Nucleotide, and over, National Cancer Institute, Urologic Diseases, Prostate Cancer, Human Genome, Genetics, Cancer, Prevention, Aging, 2.1 Biological and endogenous factors, Genetics & Heredity, Complementary and Alternative Medicine, Paediatrics and Reproductive Medicine
Abstract

Genetic studies have identified single nucleotide polymorphisms (SNPs) associated with the risk of prostate cancer (PC). It remains unclear whether such genetic variants are associated with disease aggressiveness. The NCI-SPORE Genetics Working Group retrospectively collected clinicopathologic information and genotype data for 36 SNPs which at the time had been validated to be associated with PC risk from 25,674 cases with PC. Cases were grouped according to race, Gleason score (Gleason ≤ 6, 7, ≥ 8) and aggressiveness (non-aggressive, intermediate, and aggressive disease). Statistical analyses were used to compare the frequency of the SNPs between different disease cohorts. After adjusting for multiple testing, only PC-risk SNP rs2735839 (G) was significantly and inversely associated with aggressive (OR = 0.77; 95 % CI 0.69-0.87) and high-grade disease (OR = 0.77; 95 % CI 0.68-0.86) in European men. Similar associations with aggressive (OR = 0.72; 95 % CI 0.58-0.89) and high-grade disease (OR = 0.69; 95 % CI 0.54-0.87) were documented in African-American subjects. The G allele of rs2735839 was associated with disease aggressiveness even at low PSA levels (

Published
2015

26. Generalizability of established prostate cancer risk variants in men of African ancestry

Author

Han, Ying, Signorello, Lisa B, Strom, Sara S, Kittles, Rick A, Rybicki, Benjamin A, Stanford, Janet L, Goodman, Phyllis J, Berndt, Sonja I, Carpten, John, Casey, Graham, Chu, Lisa, Conti, David V, Rand, Kristin A, Diver, W Ryan, Hennis, Anselm JM, John, Esther M, Kibel, Adam S, Klein, Eric A, Kolb, Suzanne, Le Marchand, Loic, Leske, M Cristina, Murphy, Adam B, Neslund‐Dudas, Christine, Park, Jong Y, Pettaway, Curtis, Rebbeck, Timothy R, Gapstur, Susan M, Zheng, S Lilly, Wu, Suh‐Yuh, Witte, John S, Xu, Jianfeng, Isaacs, William, Ingles, Sue A, Hsing, Ann, Consortium, The PRACTICAL, Consortium, The ELLIPSE GAME‐ON, Easton, Douglas F, Eeles, Rosalind A, Schumacher, Fredrick R, Chanock, Stephen, Nemesure, Barbara, Blot, William J, Stram, Daniel O, Henderson, Brian E, and Haiman, Christopher A

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Prostate Cancer, Aging, Prevention, Genetics, Human Genome, Clinical Research, Urologic Diseases, Aetiology, 2.1 Biological and endogenous factors, Black People, Case-Control Studies, Cohort Studies, Follow-Up Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Polymorphism, Single Nucleotide, Prognosis, Prostatic Neoplasms, Risk Factors, prostate cancer, genetic risk variant, generalizability, African ancestry, PRACTICAL Consortium, ELLIPSE GAME-ON Consortium, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

Genome-wide association studies have identified more than 80 risk variants for prostate cancer, mainly in European or Asian populations. The generalizability of these variants in other racial/ethnic populations needs to be understood before the loci can be used widely in risk modeling. In our study, we examined 82 previously reported risk variants in 4,853 prostate cancer cases and 4,678 controls of African ancestry. We performed association testing for each variant using logistic regression adjusted for age, study and global ancestry. Of the 82 known risk variants, 68 (83%) had effects that were directionally consistent in their association with prostate cancer risk and 30 (37%) were significantly associated with risk at p < 0.05, with the most statistically significant variants being rs116041037 (p = 3.7 × 10(-26) ) and rs6983561 (p = 1.1 × 10(-16) ) at 8q24, as well as rs7210100 (p = 5.4 × 10(-8) ) at 17q21. By exploring each locus in search of better markers, the number of variants that captured risk in men of African ancestry (p < 0.05) increased from 30 (37%) to 44 (54%). An aggregate score comprised of these 44 markers was strongly associated with prostate cancer risk [per-allele odds ratio (OR) = 1.12, p = 7.3 × 10(-98) ]. In summary, the consistent directions of effects for the vast majority of variants in men of African ancestry indicate common functional alleles that are shared across populations. Further exploration of these susceptibility loci is needed to identify the underlying biologically relevant variants to improve prostate cancer risk modeling in populations of African ancestry.

Published
2015

27. Genetic studies of body mass index yield new insights for obesity biology

Author

Locke, Adam E, Kahali, Bratati, Berndt, Sonja I, Justice, Anne E, Pers, Tune H, Day, Felix R, Powell, Corey, Vedantam, Sailaja, Buchkovich, Martin L, Yang, Jian, Croteau-Chonka, Damien C, Esko, Tonu, Fall, Tove, Ferreira, Teresa, Gustafsson, Stefan, Kutalik, Zoltán, Luan, Jian’an, Mägi, Reedik, Randall, Joshua C, Winkler, Thomas W, Wood, Andrew R, Workalemahu, Tsegaselassie, Faul, Jessica D, Smith, Jennifer A, Hua Zhao, Jing, Zhao, Wei, Chen, Jin, Fehrmann, Rudolf, Hedman, Åsa K, Karjalainen, Juha, Schmidt, Ellen M, Absher, Devin, Amin, Najaf, Anderson, Denise, Beekman, Marian, Bolton, Jennifer L, Bragg-Gresham, Jennifer L, Buyske, Steven, Demirkan, Ayse, Deng, Guohong, Ehret, Georg B, Feenstra, Bjarke, Feitosa, Mary F, Fischer, Krista, Goel, Anuj, Gong, Jian, Jackson, Anne U, Kanoni, Stavroula, Kleber, Marcus E, Kristiansson, Kati, Lim, Unhee, Lotay, Vaneet, Mangino, Massimo, Mateo Leach, Irene, Medina-Gomez, Carolina, Medland, Sarah E, Nalls, Michael A, Palmer, Cameron D, Pasko, Dorota, Pechlivanis, Sonali, Peters, Marjolein J, Prokopenko, Inga, Shungin, Dmitry, Stančáková, Alena, Strawbridge, Rona J, Ju Sung, Yun, Tanaka, Toshiko, Teumer, Alexander, Trompet, Stella, van der Laan, Sander W, van Setten, Jessica, Van Vliet-Ostaptchouk, Jana V, Wang, Zhaoming, Yengo, Loïc, Zhang, Weihua, Isaacs, Aaron, Albrecht, Eva, Ärnlöv, Johan, Arscott, Gillian M, Attwood, Antony P, Bandinelli, Stefania, Barrett, Amy, Bas, Isabelita N, Bellis, Claire, Bennett, Amanda J, Berne, Christian, Blagieva, Roza, Blüher, Matthias, Böhringer, Stefan, Bonnycastle, Lori L, Böttcher, Yvonne, Boyd, Heather A, Bruinenberg, Marcel, Caspersen, Ida H, Ida Chen, Yii-Der, Clarke, Robert, Warwick Daw, E, de Craen, Anton JM, Delgado, Graciela, and Dimitriou, Maria

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Human Genome, Nutrition, Obesity, Prevention, Aetiology, 2.1 Biological and endogenous factors, Stroke, Cardiovascular, Metabolic and endocrine, Oral and gastrointestinal, Cancer, Adipogenesis, Adiposity, Age Factors, Body Mass Index, Energy Metabolism, Europe, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Glutamic Acid, Humans, Insulin, Insulin Secretion, Male, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Racial Groups, Synapses, LifeLines Cohort Study, ADIPOGen Consortium, AGEN-BMI Working Group, CARDIOGRAMplusC4D Consortium, CKDGen Consortium, GLGC, ICBP, MAGIC Investigators, MuTHER Consortium, MIGen Consortium, PAGE Consortium, ReproGen Consortium, GENIE Consortium, International Endogene Consortium, General Science & Technology
Abstract

Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P 20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.

Published
2015

28. A genome-wide association study of marginal zone lymphoma shows association to the HLA region.

Author

Vijai, Joseph, Wang, Zhaoming, Berndt, Sonja I, Skibola, Christine F, Slager, Susan L, de Sanjose, Silvia, Melbye, Mads, Glimelius, Bengt, Bracci, Paige M, Conde, Lucia, Birmann, Brenda M, Wang, Sophia S, Brooks-Wilson, Angela R, Lan, Qing, de Bakker, Paul IW, Vermeulen, Roel CH, Portlock, Carol, Ansell, Stephen M, Link, Brian K, Riby, Jacques, North, Kari E, Gu, Jian, Hjalgrim, Henrik, Cozen, Wendy, Becker, Nikolaus, Teras, Lauren R, Spinelli, John J, Turner, Jenny, Zhang, Yawei, Purdue, Mark P, Giles, Graham G, Kelly, Rachel S, Zeleniuch-Jacquotte, Anne, Ennas, Maria Grazia, Monnereau, Alain, Bertrand, Kimberly A, Albanes, Demetrius, Lightfoot, Tracy, Yeager, Meredith, Chung, Charles C, Burdett, Laurie, Hutchinson, Amy, Lawrence, Charles, Montalvan, Rebecca, Liang, Liming, Huang, Jinyan, Ma, Baoshan, Villano, Danylo J, Maria, Ann, Corines, Marina, Thomas, Tinu, Novak, Anne J, Dogan, Ahmet, Liebow, Mark, Thompson, Carrie A, Witzig, Thomas E, Habermann, Thomas M, Weiner, George J, Smith, Martyn T, Holly, Elizabeth A, Jackson, Rebecca D, Tinker, Lesley F, Ye, Yuanqing, Adami, Hans-Olov, Smedby, Karin E, De Roos, Anneclaire J, Hartge, Patricia, Morton, Lindsay M, Severson, Richard K, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, McKay, James, Staines, Anthony, Diver, W Ryan, Vajdic, Claire M, Armstrong, Bruce K, Kricker, Anne, Zheng, Tongzhang, Holford, Theodore R, Severi, Gianluca, Vineis, Paolo, Ferri, Giovanni M, Ricco, Rosalia, Miligi, Lucia, Clavel, Jacqueline, Giovannucci, Edward, Kraft, Peter, Virtamo, Jarmo, Smith, Alex, Kane, Eleanor, Roman, Eve, Chiu, Brian CH, Fraumeni, Joseph F, Wu, Xifeng, Cerhan, James R, Offit, Kenneth, and Chanock, Stephen J

Subjects
Humans, Membrane Glycoproteins, Computational Biology, Major Histocompatibility Complex, Genotype, Polymorphism, Single Nucleotide, European Continental Ancestry Group, Lymphoma, B-Cell, Marginal Zone, Genome-Wide Association Study, Butyrophilins, Polymorphism, Single Nucleotide, Lymphoma, B-Cell, Marginal Zone
Abstract

Marginal zone lymphoma (MZL) is the third most common subtype of B-cell non-Hodgkin lymphoma. Here we perform a two-stage GWAS of 1,281 MZL cases and 7,127 controls of European ancestry and identify two independent loci near BTNL2 (rs9461741, P=3.95 × 10(-15)) and HLA-B (rs2922994, P=2.43 × 10(-9)) in the HLA region significantly associated with MZL risk. This is the first evidence that genetic variation in the major histocompatibility complex influences MZL susceptibility.

Published
2015

29. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33

Author

Wang, Zhaoming, Zhu, Bin, Zhang, Mingfeng, Parikh, Hemang, Jia, Jinping, Chung, Charles C, Sampson, Joshua N, Hoskins, Jason W, Hutchinson, Amy, Burdette, Laurie, Ibrahim, Abdisamad, Hautman, Christopher, Raj, Preethi S, Abnet, Christian C, Adjei, Andrew A, Ahlbom, Anders, Albanes, Demetrius, Allen, Naomi E, Ambrosone, Christine B, Aldrich, Melinda, Amiano, Pilar, Amos, Christopher, Andersson, Ulrika, Andriole, Gerald, Andrulis, Irene L, Arici, Cecilia, Arslan, Alan A, Austin, Melissa A, Baris, Dalsu, Barkauskas, Donald A, Bassig, Bryan A, Beane Freeman, Laura E, Berg, Christine D, Berndt, Sonja I, Bertazzi, Pier Alberto, Biritwum, Richard B, Black, Amanda, Blot, William, Boeing, Heiner, Boffetta, Paolo, Bolton, Kelly, Boutron-Ruault, Marie-Christine, Bracci, Paige M, Brennan, Paul, Brinton, Louise A, Brotzman, Michelle, Bueno-de-Mesquita, H Bas, Buring, Julie E, Butler, Mary Ann, Cai, Qiuyin, Cancel-Tassin, Geraldine, Canzian, Federico, Cao, Guangwen, Caporaso, Neil E, Carrato, Alfredo, Carreon, Tania, Carta, Angela, Chang, Gee-Chen, Chang, I-Shou, Chang-Claude, Jenny, Che, Xu, Chen, Chien-Jen, Chen, Chih-Yi, Chen, Chung-Hsing, Chen, Constance, Chen, Kuan-Yu, Chen, Yuh-Min, Chokkalingam, Anand P, Chu, Lisa W, Clavel-Chapelon, Francoise, Colditz, Graham A, Colt, Joanne S, Conti, David, Cook, Michael B, Cortessis, Victoria K, Crawford, E David, Cussenot, Olivier, Davis, Faith G, De Vivo, Immaculata, Deng, Xiang, Ding, Ti, Dinney, Colin P, Di Stefano, Anna Luisa, Diver, W Ryan, Duell, Eric J, Elena, Joanne W, Fan, Jin-Hu, Feigelson, Heather Spencer, Feychting, Maria, Figueroa, Jonine D, Flanagan, Adrienne M, Fraumeni, Joseph F, Freedman, Neal D, Fridley, Brooke L, Fuchs, Charles S, Gago-Dominguez, Manuela, Gallinger, Steven, Gao, Yu-Tang, Gapstur, Susan M, and Garcia-Closas, Montserrat

Subjects
Biological Sciences, Genetics, Cancer, Clinical Research, Human Genome, Prevention, Aetiology, 2.1 Biological and endogenous factors, Alleles, Chromosomes, Human, Pair 5, Computational Biology, DNA Methylation, Epigenesis, Genetic, Female, Gene Expression Regulation, Neoplastic, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Membrane Proteins, Neoplasm Proteins, Neoplasms, Odds Ratio, Polymorphism, Single Nucleotide, Risk, Telomerase, Medical and Health Sciences, Genetics & Heredity
Abstract

Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 × 10(-39); Region 3: rs2853677, P = 3.30 × 10(-36) and PConditional = 2.36 × 10(-8); Region 4: rs2736098, P = 3.87 × 10(-12) and PConditional = 5.19 × 10(-6), Region 5: rs13172201, P = 0.041 and PConditional = 2.04 × 10(-6); and Region 6: rs10069690, P = 7.49 × 10(-15) and PConditional = 5.35 × 10(-7)) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 × 10(-18) and PConditional = 7.06 × 10(-16)). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci.

Published
2014

30. Leveraging population admixture to characterize the heritability of complex traits.

Author

Zaitlen, Noah, Pasaniuc, Bogdan, Sankararaman, Sriram, Bhatia, Gaurav, Zhang, Jianqi, Gusev, Alexander, Young, Taylor, Tandon, Arti, Pollack, Samuela, Vilhjálmsson, Bjarni J, Assimes, Themistocles L, Berndt, Sonja I, Blot, William J, Chanock, Stephen, Franceschini, Nora, Goodman, Phyllis G, He, Jing, Hennis, Anselm JM, Hsing, Ann, Ingles, Sue A, Isaacs, William, Kittles, Rick A, Klein, Eric A, Lange, Leslie A, Nemesure, Barbara, Patterson, Nick, Reich, David, Rybicki, Benjamin A, Stanford, Janet L, Stevens, Victoria L, Strom, Sara S, Whitsel, Eric A, Witte, John S, Xu, Jianfeng, Haiman, Christopher, Wilson, James G, Kooperberg, Charles, Stram, Daniel, Reiner, Alex P, Tang, Hua, and Price, Alkes L

Subjects
Humans, Prostatic Neoplasms, Cardiovascular Diseases, Body Mass Index, Models, Statistical, Case-Control Studies, Cohort Studies, Reproducibility of Results, Chromosome Mapping, Genetics, Population, Epistasis, Genetic, Genotype, Multifactorial Inheritance, Quantitative Trait, Heritable, Phenotype, Polymorphism, Single Nucleotide, Models, Genetic, Computer Simulation, Aged, Middle Aged, African Continental Ancestry Group, African Americans, United States, Female, Male, Genome-Wide Association Study, Models, Statistical, Genetics, Population, Epistasis, Genetic, Quantitative Trait, Heritable, Polymorphism, Single Nucleotide, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract

Despite recent progress on estimating the heritability explained by genotyped SNPs (h(2)g), a large gap between h(2)g and estimates of total narrow-sense heritability (h(2)) remains. Explanations for this gap include rare variants or upward bias in family-based estimates of h(2) due to shared environment or epistasis. We estimate h(2) from unrelated individuals in admixed populations by first estimating the heritability explained by local ancestry (h(2)γ). We show that h(2)γ = 2FSTCθ(1 - θ)h(2), where FSTC measures frequency differences between populations at causal loci and θ is the genome-wide ancestry proportion. Our approach is not susceptible to biases caused by epistasis or shared environment. We applied this approach to the analysis of 13 phenotypes in 21,497 African-American individuals from 3 cohorts. For height and body mass index (BMI), we obtained h(2) estimates of 0.55 ± 0.09 and 0.23 ± 0.06, respectively, which are larger than estimates of h(2)g in these and other data but smaller than family-based estimates of h(2).

Published
2014

31. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma

Author

Cerhan, James R, Berndt, Sonja I, Vijai, Joseph, Ghesquières, Hervé, McKay, James, Wang, Sophia S, Wang, Zhaoming, Yeager, Meredith, Conde, Lucia, de Bakker, Paul IW, Nieters, Alexandra, Cox, David, Burdett, Laurie, Monnereau, Alain, Flowers, Christopher R, De Roos, Anneclaire J, Brooks-Wilson, Angela R, Lan, Qing, Severi, Gianluca, Melbye, Mads, Gu, Jian, Jackson, Rebecca D, Kane, Eleanor, Teras, Lauren R, Purdue, Mark P, Vajdic, Claire M, Spinelli, John J, Giles, Graham G, Albanes, Demetrius, Kelly, Rachel S, Zucca, Mariagrazia, Bertrand, Kimberly A, Zeleniuch-Jacquotte, Anne, Lawrence, Charles, Hutchinson, Amy, Zhi, Degui, Habermann, Thomas M, Link, Brian K, Novak, Anne J, Dogan, Ahmet, Asmann, Yan W, Liebow, Mark, Thompson, Carrie A, Ansell, Stephen M, Witzig, Thomas E, Weiner, George J, Veron, Amelie S, Zelenika, Diana, Tilly, Hervé, Haioun, Corinne, Molina, Thierry Jo, Hjalgrim, Henrik, Glimelius, Bengt, Adami, Hans-Olov, Bracci, Paige M, Riby, Jacques, Smith, Martyn T, Holly, Elizabeth A, Cozen, Wendy, Hartge, Patricia, Morton, Lindsay M, Severson, Richard K, Tinker, Lesley F, North, Kari E, Becker, Nikolaus, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, Staines, Anthony, Lightfoot, Tracy, Crouch, Simon, Smith, Alex, Roman, Eve, Diver, W Ryan, Offit, Kenneth, Zelenetz, Andrew, Klein, Robert J, Villano, Danylo J, Zheng, Tongzhang, Zhang, Yawei, Holford, Theodore R, Kricker, Anne, Turner, Jenny, Southey, Melissa C, Clavel, Jacqueline, Virtamo, Jarmo, Weinstein, Stephanie, Riboli, Elio, Vineis, Paolo, Kaaks, Rudolph, Trichopoulos, Dimitrios, Vermeulen, Roel CH, Boeing, Heiner, Tjonneland, Anne, Angelucci, Emanuele, Di Lollo, Simonetta, Rais, Marco, and Birmann, Brenda M

Subjects
Human Genome, Rare Diseases, Genetics, Cancer, Hematology, Lymphoma, Aetiology, 2.1 Biological and endogenous factors, Chromosome Mapping, Computational Biology, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Likelihood Functions, Lymphoma, Large B-Cell, Diffuse, Polymorphism, Single Nucleotide, Quantitative Trait Loci, White People, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; P = 2.33 × 10(-21)), rs2523607 at 6p21.33 (HLA-B; P = 2.40 × 10(-10)), rs79480871 at 2p23.3 (NCOA1; P = 4.23 × 10(-8)) and two independent SNPs, rs13255292 and rs4733601, at 8q24.21 (PVT1; P = 9.98 × 10(-13) and 3.63 × 10(-11), respectively). These data provide substantial new evidence for genetic susceptibility to this B cell malignancy and point to pathways involved in immune recognition and immune function in the pathogenesis of DLBCL.

Published
2014

32. Genome-wide Association Study Identifies Five Susceptibility Loci for Follicular Lymphoma outside the HLA Region

Author

Skibola, Christine F, Berndt, Sonja I, Vijai, Joseph, Conde, Lucia, Wang, Zhaoming, Yeager, Meredith, de Bakker, Paul IW, Birmann, Brenda M, Vajdic, Claire M, Foo, Jia-Nee, Bracci, Paige M, Vermeulen, Roel CH, Slager, Susan L, de Sanjose, Silvia, Wang, Sophia S, Linet, Martha S, Salles, Gilles, Lan, Qing, Severi, Gianluca, Hjalgrim, Henrik, Lightfoot, Tracy, Melbye, Mads, Gu, Jian, Ghesquières, Hervé, Link, Brian K, Morton, Lindsay M, Holly, Elizabeth A, Smith, Alex, Tinker, Lesley F, Teras, Lauren R, Kricker, Anne, Becker, Nikolaus, Purdue, Mark P, Spinelli, John J, Zhang, Yawei, Giles, Graham G, Vineis, Paolo, Monnereau, Alain, Bertrand, Kimberly A, Albanes, Demetrius, Zeleniuch-Jacquotte, Anne, Gabbas, Attilio, Chung, Charles C, Burdett, Laurie, Hutchinson, Amy, Lawrence, Charles, Montalvan, Rebecca, Liang, Liming, Huang, Jinyan, Ma, Baoshan, Liu, Jianjun, Adami, Hans-Olov, Glimelius, Bengt, Ye, Yuanqing, Nowakowski, Grzegorz S, Dogan, Ahmet, Thompson, Carrie A, Habermann, Thomas M, Novak, Anne J, Liebow, Mark, Witzig, Thomas E, Weiner, George J, Schenk, Maryjean, Hartge, Patricia, De Roos, Anneclaire J, Cozen, Wendy, Zhi, Degui, Akers, Nicholas K, Riby, Jacques, Smith, Martyn T, Lacher, Mortimer, Villano, Danylo J, Maria, Ann, Roman, Eve, Kane, Eleanor, Jackson, Rebecca D, North, Kari E, Diver, W Ryan, Turner, Jenny, Armstrong, Bruce K, Benavente, Yolanda, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, Staines, Anthony, McKay, James, Brooks-Wilson, Angela R, Zheng, Tongzhang, Holford, Theodore R, Chamosa, Saioa, Kaaks, Rudolph, Kelly, Rachel S, Ohlsson, Bodil, Travis, Ruth C, Weiderpass, Elisabete, Clavel, Jacqueline, Giovannucci, Edward, Kraft, Peter, and Virtamo, Jarmo

Subjects
Hematology, Cancer, Clinical Research, Human Genome, Lymphoma, Genetics, Rare Diseases, 2.1 Biological and endogenous factors, Aetiology, Alleles, Biomarkers, Tumor, Case-Control Studies, Chromosomes, Human, Genetic Predisposition to Disease, Genome-Wide Association Study, HLA Antigens, Haplotypes, Humans, Lymphoma, Follicular, Polymorphism, Single Nucleotide, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Genome-wide association studies (GWASs) of follicular lymphoma (FL) have previously identified human leukocyte antigen (HLA) gene variants. To identify additional FL susceptibility loci, we conducted a large-scale two-stage GWAS in 4,523 case subjects and 13,344 control subjects of European ancestry. Five non-HLA loci were associated with FL risk: 11q23.3 (rs4938573, p = 5.79 × 10(-20)) near CXCR5; 11q24.3 (rs4937362, p = 6.76 × 10(-11)) near ETS1; 3q28 (rs6444305, p = 1.10 × 10(-10)) in LPP; 18q21.33 (rs17749561, p = 8.28 × 10(-10)) near BCL2; and 8q24.21 (rs13254990, p = 1.06 × 10(-8)) near PVT1. In an analysis of the HLA region, we identified four linked HLA-DRβ1 multiallelic amino acids at positions 11, 13, 28, and 30 that were associated with FL risk (pomnibus = 4.20 × 10(-67) to 2.67 × 10(-70)). Additional independent signals included rs17203612 in HLA class II (odds ratio [OR(per-allele)] = 1.44; p = 4.59 × 10(-16)) and rs3130437 in HLA class I (OR(per-allele) = 1.23; p = 8.23 × 10(-9)). Our findings further expand the number of loci associated with FL and provide evidence that multiple common variants outside the HLA region make a significant contribution to FL risk.

Published
2014

33. Genome-wide association study identifies multiple susceptibility loci for pancreatic cancer

Author

Wolpin, Brian M, Rizzato, Cosmeri, Kraft, Peter, Kooperberg, Charles, Petersen, Gloria M, Wang, Zhaoming, Arslan, Alan A, Beane-Freeman, Laura, Bracci, Paige M, Buring, Julie, Canzian, Federico, Duell, Eric J, Gallinger, Steven, Giles, Graham G, Goodman, Gary E, Goodman, Phyllis J, Jacobs, Eric J, Kamineni, Aruna, Klein, Alison P, Kolonel, Laurence N, Kulke, Matthew H, Li, Donghui, Malats, Núria, Olson, Sara H, Risch, Harvey A, Sesso, Howard D, Visvanathan, Kala, White, Emily, Zheng, Wei, Abnet, Christian C, Albanes, Demetrius, Andreotti, Gabriella, Austin, Melissa A, Barfield, Richard, Basso, Daniela, Berndt, Sonja I, Boutron-Ruault, Marie-Christine, Brotzman, Michelle, Büchler, Markus W, Bueno-de-Mesquita, H Bas, Bugert, Peter, Burdette, Laurie, Campa, Daniele, Caporaso, Neil E, Capurso, Gabriele, Chung, Charles, Cotterchio, Michelle, Costello, Eithne, Elena, Joanne, Funel, Niccola, Gaziano, J Michael, Giese, Nathalia A, Giovannucci, Edward L, Goggins, Michael, Gorman, Megan J, Gross, Myron, Haiman, Christopher A, Hassan, Manal, Helzlsouer, Kathy J, Henderson, Brian E, Holly, Elizabeth A, Hu, Nan, Hunter, David J, Innocenti, Federico, Jenab, Mazda, Kaaks, Rudolf, Key, Timothy J, Khaw, Kay-Tee, Klein, Eric A, Kogevinas, Manolis, Krogh, Vittorio, Kupcinskas, Juozas, Kurtz, Robert C, LaCroix, Andrea, Landi, Maria T, Landi, Stefano, Le Marchand, Loic, Mambrini, Andrea, Mannisto, Satu, Milne, Roger L, Nakamura, Yusuke, Oberg, Ann L, Owzar, Kouros, Patel, Alpa V, Peeters, Petra HM, Peters, Ulrike, Pezzilli, Raffaele, Piepoli, Ada, Porta, Miquel, Real, Francisco X, Riboli, Elio, Rothman, Nathaniel, Scarpa, Aldo, Shu, Xiao-Ou, Silverman, Debra T, Soucek, Pavel, Sund, Malin, Talar-Wojnarowska, Renata, Taylor, Philip R, and Theodoropoulos, George E

Subjects
Cancer, Aged, Case-Control Studies, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Pancreatic Neoplasms, Polymorphism, Single Nucleotide, White People, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

We performed a multistage genome-wide association study including 7,683 individuals with pancreatic cancer and 14,397 controls of European descent. Four new loci reached genome-wide significance: rs6971499 at 7q32.3 (LINC-PINT, per-allele odds ratio (OR) = 0.79, 95% confidence interval (CI) 0.74-0.84, P = 3.0 × 10(-12)), rs7190458 at 16q23.1 (BCAR1/CTRB1/CTRB2, OR = 1.46, 95% CI 1.30-1.65, P = 1.1 × 10(-10)), rs9581943 at 13q12.2 (PDX1, OR = 1.15, 95% CI 1.10-1.20, P = 2.4 × 10(-9)) and rs16986825 at 22q12.1 (ZNRF3, OR = 1.18, 95% CI 1.12-1.25, P = 1.2 × 10(-8)). We identified an independent signal in exon 2 of TERT at the established region 5p15.33 (rs2736098, OR = 0.80, 95% CI 0.76-0.85, P = 9.8 × 10(-14)). We also identified a locus at 8q24.21 (rs1561927, P = 1.3 × 10(-7)) that approached genome-wide significance located 455 kb telomeric of PVT1. Our study identified multiple new susceptibility alleles for pancreatic cancer that are worthy of follow-up studies.

Published
2014

34. Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia

Author

Berndt, Sonja I, Skibola, Christine F, Joseph, Vijai, Camp, Nicola J, Nieters, Alexandra, Wang, Zhaoming, Cozen, Wendy, Monnereau, Alain, Wang, Sophia S, Kelly, Rachel S, Lan, Qing, Teras, Lauren R, Chatterjee, Nilanjan, Chung, Charles C, Yeager, Meredith, Brooks-Wilson, Angela R, Hartge, Patricia, Purdue, Mark P, Birmann, Brenda M, Armstrong, Bruce K, Cocco, Pierluigi, Zhang, Yawei, Severi, Gianluca, Zeleniuch-Jacquotte, Anne, Lawrence, Charles, Burdette, Laurie, Yuenger, Jeffrey, Hutchinson, Amy, Jacobs, Kevin B, Call, Timothy G, Shanafelt, Tait D, Novak, Anne J, Kay, Neil E, Liebow, Mark, Wang, Alice H, Smedby, Karin E, Adami, Hans-Olov, Melbye, Mads, Glimelius, Bengt, Chang, Ellen T, Glenn, Martha, Curtin, Karen, Cannon-Albright, Lisa A, Jones, Brandt, Diver, W Ryan, Link, Brian K, Weiner, George J, Conde, Lucia, Bracci, Paige M, Riby, Jacques, Holly, Elizabeth A, Smith, Martyn T, Jackson, Rebecca D, Tinker, Lesley F, Benavente, Yolanda, Becker, Nikolaus, Boffetta, Paolo, Brennan, Paul, Foretova, Lenka, Maynadie, Marc, McKay, James, Staines, Anthony, Rabe, Kari G, Achenbach, Sara J, Vachon, Celine M, Goldin, Lynn R, Strom, Sara S, Lanasa, Mark C, Spector, Logan G, Leis, Jose F, Cunningham, Julie M, Weinberg, J Brice, Morrison, Vicki A, Caporaso, Neil E, Norman, Aaron D, Linet, Martha S, De Roos, Anneclaire J, Morton, Lindsay M, Severson, Richard K, Riboli, Elio, Vineis, Paolo, Kaaks, Rudolph, Trichopoulos, Dimitrios, Masala, Giovanna, Weiderpass, Elisabete, Chirlaque, María-Dolores, Vermeulen, Roel CH, Travis, Ruth C, Giles, Graham G, Albanes, Demetrius, Virtamo, Jarmo, Weinstein, Stephanie, Clavel, Jacqueline, Zheng, Tongzhang, Holford, Theodore R, Offit, Kenneth, Zelenetz, Andrew, Klein, Robert J, Spinelli, John J, and Bertrand, Kimberly A

Subjects
Cancer, Case-Control Studies, Chromosomes, Human, Pair 2, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Leukemia, Lymphocytic, Chronic, B-Cell, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Recombination, Genetic, Risk, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Genome-wide association studies (GWAS) have previously identified 13 loci associated with risk of chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL). To identify additional CLL susceptibility loci, we conducted the largest meta-analysis for CLL thus far, including four GWAS with a total of 3,100 individuals with CLL (cases) and 7,667 controls. In the meta-analysis, we identified ten independent associated SNPs in nine new loci at 10q23.31 (ACTA2 or FAS (ACTA2/FAS), P=1.22×10(-14)), 18q21.33 (BCL2, P=7.76×10(-11)), 11p15.5 (C11orf21, P=2.15×10(-10)), 4q25 (LEF1, P=4.24×10(-10)), 2q33.1 (CASP10 or CASP8 (CASP10/CASP8), P=2.50×10(-9)), 9p21.3 (CDKN2B-AS1, P=1.27×10(-8)), 18q21.32 (PMAIP1, P=2.51×10(-8)), 15q15.1 (BMF, P=2.71×10(-10)) and 2p22.2 (QPCT, P=1.68×10(-8)), as well as an independent signal at an established locus (2q13, ACOXL, P=2.08×10(-18)). We also found evidence for two additional promising loci below genome-wide significance at 8q22.3 (ODF1, P=5.40×10(-8)) and 5p15.33 (TERT, P=1.92×10(-7)). Although further studies are required, the proximity of several of these loci to genes involved in apoptosis suggests a plausible underlying biological mechanism.

Published
2013

35. Identification of Genetic Susceptibility Loci for Colorectal Tumors in a Genome-Wide Meta-analysis

Author

Peters, Ulrike, Jiao, Shuo, Schumacher, Fredrick R, Hutter, Carolyn M, Aragaki, Aaron K, Baron, John A, Berndt, Sonja I, Bézieau, Stéphane, Brenner, Hermann, Butterbach, Katja, Caan, Bette J, Campbell, Peter T, Carlson, Christopher S, Casey, Graham, Chan, Andrew T, Chang–Claude, Jenny, Chanock, Stephen J, Chen, Lin S, Coetzee, Gerhard A, Coetzee, Simon G, Conti, David V, Curtis, Keith R, Duggan, David, Edwards, Todd, Fuchs, Charles S, Gallinger, Steven, Giovannucci, Edward L, Gogarten, Stephanie M, Gruber, Stephen B, Haile, Robert W, Harrison, Tabitha A, Hayes, Richard B, Henderson, Brian E, Hoffmeister, Michael, Hopper, John L, Hudson, Thomas J, Hunter, David J, Jackson, Rebecca D, Jee, Sun Ha, Jenkins, Mark A, Jia, Wei–Hua, Kolonel, Laurence N, Kooperberg, Charles, Küry, Sébastien, LaCroix, Andrea Z, Laurie, Cathy C, Laurie, Cecelia A, Le Marchand, Loic, Lemire, Mathieu, Levine, David, Lindor, Noralane M, Liu, Yan, Ma, Jing, Makar, Karen W, Matsuo, Keitaro, Newcomb, Polly A, Potter, John D, Prentice, Ross L, Qu, Conghui, Rohan, Thomas, Rosse, Stephanie A, Schoen, Robert E, Seminara, Daniela, Shrubsole, Martha, Shu, Xiao–Ou, Slattery, Martha L, Taverna, Darin, Thibodeau, Stephen N, Ulrich, Cornelia M, White, Emily, Xiang, Yongbing, Zanke, Brent W, Zeng, Yi–Xin, Zhang, Ben, Zheng, Wei, Hsu, Li, and Registry, Genetics and Epidemiology of Colorectal Cancer Consortium Colon Cancer Family

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Nutrition and Dietetics, Digestive Diseases, Prevention, Genetics, Cancer, Colo-Rectal Cancer, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Age Distribution, Aged, Aged, 80 and over, Colorectal Neoplasms, Cyclin D2, DNA-Binding Proteins, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Incidence, Laminin, Male, Middle Aged, Polymorphism, Single Nucleotide, Prognosis, Risk Assessment, Sex Distribution, T-Box Domain Proteins, Colon Cancer Family Registry and the Genetics and Epidemiology of Colorectal Cancer Consortium, Neurosciences, Paediatrics and Reproductive Medicine, Gastroenterology & Hepatology, Clinical sciences, Nutrition and dietetics
Abstract

Background & aimsHeritable factors contribute to the development of colorectal cancer. Identifying the genetic loci associated with colorectal tumor formation could elucidate the mechanisms of pathogenesis.MethodsWe conducted a genome-wide association study that included 14 studies, 12,696 cases of colorectal tumors (11,870 cancer, 826 adenoma), and 15,113 controls of European descent. The 10 most statistically significant, previously unreported findings were followed up in 6 studies; these included 3056 colorectal tumor cases (2098 cancer, 958 adenoma) and 6658 controls of European and Asian descent.ResultsBased on the combined analysis, we identified a locus that reached the conventional genome-wide significance level at less than 5.0 × 10(-8): an intergenic region on chromosome 2q32.3, close to nucleic acid binding protein 1 (most significant single nucleotide polymorphism: rs11903757; odds ratio [OR], 1.15 per risk allele; P = 3.7 × 10(-8)). We also found evidence for 3 additional loci with P values less than 5.0 × 10(-7): a locus within the laminin gamma 1 gene on chromosome 1q25.3 (rs10911251; OR, 1.10 per risk allele; P = 9.5 × 10(-8)), a locus within the cyclin D2 gene on chromosome 12p13.32 (rs3217810 per risk allele; OR, 0.84; P = 5.9 × 10(-8)), and a locus in the T-box 3 gene on chromosome 12q24.21 (rs59336; OR, 0.91 per risk allele; P = 3.7 × 10(-7)).ConclusionsIn a large genome-wide association study, we associated polymorphisms close to nucleic acid binding protein 1 (which encodes a DNA-binding protein involved in DNA repair) with colorectal tumor risk. We also provided evidence for an association between colorectal tumor risk and polymorphisms in laminin gamma 1 (this is the second gene in the laminin family to be associated with colorectal cancers), cyclin D2 (which encodes for cyclin D2), and T-box 3 (which encodes a T-box transcription factor and is a target of Wnt signaling to β-catenin). The roles of these genes and their products in cancer pathogenesis warrant further investigation.

Published
2013

36. Characterization of Gene–Environment Interactions for Colorectal Cancer Susceptibility Loci

Author

Hutter, Carolyn M, Chang-Claude, Jenny, Slattery, Martha L, Pflugeisen, Bethann M, Lin, Yi, Duggan, David, Nan, Hongmei, Lemire, Mathieu, Rangrej, Jagadish, Figueiredo, Jane C, Jiao, Shuo, Harrison, Tabitha A, Liu, Yan, Chen, Lin S, Stelling, Deanna L, Warnick, Greg S, Hoffmeister, Michael, Küry, Sébastien, Fuchs, Charles S, Giovannucci, Edward, Hazra, Aditi, Kraft, Peter, Hunter, David J, Gallinger, Steven, Zanke, Brent W, Brenner, Hermann, Frank, Bernd, Ma, Jing, Ulrich, Cornelia M, White, Emily, Newcomb, Polly A, Kooperberg, Charles, LaCroix, Andrea Z, Prentice, Ross L, Jackson, Rebecca D, Schoen, Robert E, Chanock, Stephen J, Berndt, Sonja I, Hayes, Richard B, Caan, Bette J, Potter, John D, Hsu, Li, Bézieau, Stéphane, Chan, Andrew T, Hudson, Thomas J, and Peters, Ulrike

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Digestive Diseases, Nutrition, Prevention, Cancer, Colo-Rectal Cancer, Human Genome, Colorectal Neoplasms, Diet, Gene-Environment Interaction, Genetic Predisposition to Disease, Genotype, Humans, Polymorphism, Single Nucleotide, Oncology and Carcinogenesis, Oncology & Carcinogenesis, Biochemistry and cell biology, Oncology and carcinogenesis
Abstract

Genome-wide association studies (GWAS) have identified more than a dozen loci associated with colorectal cancer (CRC) risk. Here, we examined potential effect-modification between single-nucleotide polymorphisms (SNP) at 10 of these loci and probable or established environmental risk factors for CRC in 7,016 CRC cases and 9,723 controls from nine cohort and case-control studies. We used meta-analysis of an efficient empirical-Bayes estimator to detect potential multiplicative interactions between each of the SNPs [rs16892766 at 8q23.3 (EIF3H/UTP23), rs6983267 at 8q24 (MYC), rs10795668 at 10p14 (FLJ3802842), rs3802842 at 11q23 (LOC120376), rs4444235 at 14q22.2 (BMP4), rs4779584 at 15q13 (GREM1), rs9929218 at 16q22.1 (CDH1), rs4939827 at 18q21 (SMAD7), rs10411210 at 19q13.1 (RHPN2), and rs961253 at 20p12.3 (BMP2)] and select major CRC risk factors (sex, body mass index, height, smoking status, aspirin/nonsteroidal anti-inflammatory drug use, alcohol use, and dietary intake of calcium, folate, red meat, processed meat, vegetables, fruit, and fiber). The strongest statistical evidence for a gene-environment interaction across studies was for vegetable consumption and rs16892766, located on chromosome 8q23.3, near the EIF3H and UTP23 genes (nominal P(interaction) = 1.3 × 10(-4); adjusted P = 0.02). The magnitude of the main effect of the SNP increased with increasing levels of vegetable consumption. No other interactions were statistically significant after adjusting for multiple comparisons. Overall, the association of most CRC susceptibility loci identified in initial GWAS seems to be invariant to the other risk factors considered; however, our results suggest potential modification of the rs16892766 effect by vegetable consumption.

Published
2012

37. Meta-analysis of new genome-wide association studies of colorectal cancer risk

Author

Peters, Ulrike, Hutter, Carolyn M, Hsu, Li, Schumacher, Fredrick R, Conti, David V, Carlson, Christopher S, Edlund, Christopher K, Haile, Robert W, Gallinger, Steven, Zanke, Brent W, Lemire, Mathieu, Rangrej, Jagadish, Vijayaraghavan, Raakhee, Chan, Andrew T, Hazra, Aditi, Hunter, David J, Ma, Jing, Fuchs, Charles S, Giovannucci, Edward L, Kraft, Peter, Liu, Yan, Chen, Lin, Jiao, Shuo, Makar, Karen W, Taverna, Darin, Gruber, Stephen B, Rennert, Gad, Moreno, Victor, Ulrich, Cornelia M, Woods, Michael O, Green, Roger C, Parfrey, Patrick S, Prentice, Ross L, Kooperberg, Charles, Jackson, Rebecca D, LaCroix, Andrea Z, Caan, Bette J, Hayes, Richard B, Berndt, Sonja I, Chanock, Stephen J, Schoen, Robert E, Chang-Claude, Jenny, Hoffmeister, Michael, Brenner, Hermann, Frank, Bernd, Bézieau, Stéphane, Küry, Sébastien, Slattery, Martha L, Hopper, John L, Jenkins, Mark A, Le Marchand, Loic, Lindor, Noralane M, Newcomb, Polly A, Seminara, Daniela, Hudson, Thomas J, Duggan, David J, Potter, John D, and Casey, Graham

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Colo-Rectal Cancer, Aging, Human Genome, Cancer, Prevention, Digestive Diseases, 2.1 Biological and endogenous factors, Aetiology, Colorectal Neoplasms, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Odds Ratio, Polymorphism, Single Nucleotide, Risk Factors, Complementary and Alternative Medicine, Paediatrics and Reproductive Medicine, Genetics & Heredity, Reproductive medicine
Abstract

Colorectal cancer is the second leading cause of cancer death in developed countries. Genome-wide association studies (GWAS) have successfully identified novel susceptibility loci for colorectal cancer. To follow up on these findings, and try to identify novel colorectal cancer susceptibility loci, we present results for GWAS of colorectal cancer (2,906 cases, 3,416 controls) that have not previously published main associations. Specifically, we calculated odds ratios and 95% confidence intervals using log-additive models for each study. In order to improve our power to detect novel colorectal cancer susceptibility loci, we performed a meta-analysis combining the results across studies. We selected the most statistically significant single nucleotide polymorphisms (SNPs) for replication using ten independent studies (8,161 cases and 9,101 controls). We again used a meta-analysis to summarize results for the replication studies alone, and for a combined analysis of GWAS and replication studies. We measured ten SNPs previously identified in colorectal cancer susceptibility loci and found eight to be associated with colorectal cancer (p value range 0.02 to 1.8 × 10(-8)). When we excluded studies that have previously published on these SNPs, five SNPs remained significant at p

Published
2012

38. The landscape of recombination in African Americans

Author

Hinch, Anjali G, Tandon, Arti, Patterson, Nick, Song, Yunli, Rohland, Nadin, Palmer, Cameron D, Chen, Gary K, Wang, Kai, Buxbaum, Sarah G, Akylbekova, Ermeg L, Aldrich, Melinda C, Ambrosone, Christine B, Amos, Christopher, Bandera, Elisa V, Berndt, Sonja I, Bernstein, Leslie, Blot, William J, Bock, Cathryn H, Boerwinkle, Eric, Cai, Qiuyin, Caporaso, Neil, Casey, Graham, Adrienne Cupples, L, Deming, Sandra L, Ryan Diver, W, Divers, Jasmin, Fornage, Myriam, Gillanders, Elizabeth M, Glessner, Joseph, Harris, Curtis C, Hu, Jennifer J, Ingles, Sue A, Isaacs, William, John, Esther M, Linda Kao, WH, Keating, Brendan, Kittles, Rick A, Kolonel, Laurence N, Larkin, Emma, Le Marchand, Loic, McNeill, Lorna H, Millikan, Robert C, Murphy, Musani, Solomon, Neslund-Dudas, Christine, Nyante, Sarah, Papanicolaou, George J, Press, Michael F, Psaty, Bruce M, Reiner, Alex P, Rich, Stephen S, Rodriguez-Gil, Jorge L, Rotter, Jerome I, Rybicki, Benjamin A, Schwartz, Ann G, Signorello, Lisa B, Spitz, Margaret, Strom, Sara S, Thun, Michael J, Tucker, Margaret A, Wang, Zhaoming, Wiencke, John K, Witte, John S, Wrensch, Margaret, Wu, Xifeng, Yamamura, Yuko, Zanetti, Krista A, Zheng, Wei, Ziegler, Regina G, Zhu, Xiaofeng, Redline, Susan, Hirschhorn, Joel N, Henderson, Brian E, Taylor Jr, Herman A, Price, Alkes L, Hakonarson, Hakon, Chanock, Stephen J, Haiman, Christopher A, Wilson, James G, Reich, David, and Myers, Simon R

Subjects
Biological Sciences, Genetics, Biotechnology, Human Genome, Africa, Western, Black or African American, Alleles, Amino Acid Motifs, Base Sequence, Chromosome Mapping, Crossing Over, Genetic, Europe, Evolution, Molecular, Female, Gene Frequency, Genetics, Population, Genome, Human, Genomics, Haplotypes, Histone-Lysine N-Methyltransferase, Humans, Male, Molecular Sequence Data, Pedigree, Polymorphism, Single Nucleotide, Probability, White People, General Science & Technology
Abstract

Recombination, together with mutation, gives rise to genetic variation in populations. Here we leverage the recent mixture of people of African and European ancestry in the Americas to build a genetic map measuring the probability of crossing over at each position in the genome, based on about 2.1 million crossovers in 30,000 unrelated African Americans. At intervals of more than three megabases it is nearly identical to a map built in Europeans. At finer scales it differs significantly, and we identify about 2,500 recombination hotspots that are active in people of West African ancestry but nearly inactive in Europeans. The probability of a crossover at these hotspots is almost fully controlled by the alleles an individual carries at PRDM9 (P value

Published
2011

39. Genome-wide association study of prostate cancer in men of African ancestry identifies a susceptibility locus at 17q21

Author

Haiman, Christopher A, Chen, Gary K, Blot, William J, Strom, Sara S, Berndt, Sonja I, Kittles, Rick A, Rybicki, Benjamin A, Isaacs, William B, Ingles, Sue A, Stanford, Janet L, Diver, W Ryan, Witte, John S, Hsing, Ann W, Nemesure, Barbara, Rebbeck, Timothy R, Cooney, Kathleen A, Xu, Jianfeng, Kibel, Adam S, Hu, Jennifer J, John, Esther M, Gueye, Serigne M, Watya, Stephen, Signorello, Lisa B, Hayes, Richard B, Wang, Zhaoming, Yeboah, Edward, Tettey, Yao, Cai, Qiuyin, Kolb, Suzanne, Ostrander, Elaine A, Zeigler-Johnson, Charnita, Yamamura, Yuko, Neslund-Dudas, Christine, Haslag-Minoff, Jennifer, Wu, William, Thomas, Venetta, Allen, Glenn O, Murphy, Adam, Chang, Bao-Li, Zheng, S Lilly, Leske, M Cristina, Wu, Suh-Yuh, Ray, Anna M, Hennis, Anselm JM, Thun, Michael J, Carpten, John, Casey, Graham, Carter, Erin N, Duarte, Edder R, Xia, Lucy Y, Sheng, Xin, Wan, Peggy, Pooler, Loreall C, Cheng, Iona, Monroe, Kristine R, Schumacher, Fredrick, Le Marchand, Loic, Kolonel, Laurence N, Chanock, Stephen J, Berg, David Van Den, Stram, Daniel O, and Henderson, Brian E

Subjects
Biological Sciences, Genetics, Human Genome, Aging, Urologic Diseases, Prevention, Prostate Cancer, Cancer, 2.1 Biological and endogenous factors, Aetiology, Black or African American, Chromosomes, Human, Pair 17, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Polymorphism, Single Nucleotide, Prostatic Neoplasms, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

In search of common risk alleles for prostate cancer that could contribute to high rates of the disease in men of African ancestry, we conducted a genome-wide association study, with 1,047,986 SNP markers examined in 3,425 African-Americans with prostate cancer (cases) and 3,290 African-American male controls. We followed up the most significant 17 new associations from stage 1 in 1,844 cases and 3,269 controls of African ancestry. We identified a new risk variant on chromosome 17q21 (rs7210100, odds ratio per allele = 1.51, P = 3.4 × 10(-13)). The frequency of the risk allele is ∼5% in men of African descent, whereas it is rare in other populations (

Published
2011

40. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Author

Speliotes, Elizabeth K, Willer, Cristen J, Berndt, Sonja I, Monda, Keri L, Thorleifsson, Gudmar, Jackson, Anne U, Allen, Hana Lango, Lindgren, Cecilia M, Luan, Jian'an, Mägi, Reedik, Randall, Joshua C, Vedantam, Sailaja, Winkler, Thomas W, Qi, Lu, Workalemahu, Tsegaselassie, Heid, Iris M, Steinthorsdottir, Valgerdur, Stringham, Heather M, Weedon, Michael N, Wheeler, Eleanor, Wood, Andrew R, Ferreira, Teresa, Weyant, Robert J, Segrè, Ayellet V, Estrada, Karol, Liang, Liming, Nemesh, James, Park, Ju-Hyun, Gustafsson, Stefan, Kilpeläinen, Tuomas O, Yang, Jian, Bouatia-Naji, Nabila, Esko, Tõnu, Feitosa, Mary F, Kutalik, Zoltán, Mangino, Massimo, Raychaudhuri, Soumya, Scherag, Andre, Smith, Albert Vernon, Welch, Ryan, Zhao, Jing Hua, Aben, Katja K, Absher, Devin M, Amin, Najaf, Dixon, Anna L, Fisher, Eva, Glazer, Nicole L, Goddard, Michael E, Heard-Costa, Nancy L, Hoesel, Volker, Hottenga, Jouke-Jan, Johansson, Åsa, Johnson, Toby, Ketkar, Shamika, Lamina, Claudia, Li, Shengxu, Moffatt, Miriam F, Myers, Richard H, Narisu, Narisu, Perry, John RB, Peters, Marjolein J, Preuss, Michael, Ripatti, Samuli, Rivadeneira, Fernando, Sandholt, Camilla, Scott, Laura J, Timpson, Nicholas J, Tyrer, Jonathan P, van Wingerden, Sophie, Watanabe, Richard M, White, Charles C, Wiklund, Fredrik, Barlassina, Christina, Chasman, Daniel I, Cooper, Matthew N, Jansson, John-Olov, Lawrence, Robert W, Pellikka, Niina, Prokopenko, Inga, Shi, Jianxin, Thiering, Elisabeth, Alavere, Helene, Alibrandi, Maria TS, Almgren, Peter, Arnold, Alice M, Aspelund, Thor, Atwood, Larry D, Balkau, Beverley, Balmforth, Anthony J, Bennett, Amanda J, Ben-Shlomo, Yoav, Bergman, Richard N, Bergmann, Sven, Biebermann, Heike, Blakemore, Alexandra IF, Boes, Tanja, Bonnycastle, Lori L, Bornstein, Stefan R, Brown, Morris J, and Buchanan, Thomas A

Subjects
Biological Sciences, Genetics, Prevention, Human Genome, Body Height, Body Mass Index, Body Size, Body Weight, Chromosome Mapping, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Obesity, Polymorphism, Single Nucleotide, White People, MAGIC, Procardis Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and ∼ 2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P < 5 × 10⁻⁸), one of which includes a copy number variant near GPRC5B. Some loci (at MC4R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor. Furthermore, genes in other newly associated loci may provide new insights into human body weight regulation.

Published
2010

41. Hundreds of variants clustered in genomic loci and biological pathways affect human height

Author

Lango Allen, Hana, Estrada, Karol, Lettre, Guillaume, Berndt, Sonja I, Weedon, Michael N, Rivadeneira, Fernando, Willer, Cristen J, Jackson, Anne U, Vedantam, Sailaja, Raychaudhuri, Soumya, Ferreira, Teresa, Wood, Andrew R, Weyant, Robert J, Segrè, Ayellet V, Speliotes, Elizabeth K, Wheeler, Eleanor, Soranzo, Nicole, Park, Ju-Hyun, Yang, Jian, Gudbjartsson, Daniel, Heard-Costa, Nancy L, Randall, Joshua C, Qi, Lu, Vernon Smith, Albert, Mägi, Reedik, Pastinen, Tomi, Liang, Liming, Heid, Iris M, Luan, Jian’an, Thorleifsson, Gudmar, Winkler, Thomas W, Goddard, Michael E, Sin Lo, Ken, Palmer, Cameron, Workalemahu, Tsegaselassie, Aulchenko, Yurii S, Johansson, Åsa, Carola Zillikens, M, Feitosa, Mary F, Esko, Tõnu, Johnson, Toby, Ketkar, Shamika, Kraft, Peter, Mangino, Massimo, Prokopenko, Inga, Absher, Devin, Albrecht, Eva, Ernst, Florian, Glazer, Nicole L, Hayward, Caroline, Hottenga, Jouke-Jan, Jacobs, Kevin B, Knowles, Joshua W, Kutalik, Zoltán, Monda, Keri L, Polasek, Ozren, Preuss, Michael, Rayner, Nigel W, Robertson, Neil R, Steinthorsdottir, Valgerdur, Tyrer, Jonathan P, Voight, Benjamin F, Wiklund, Fredrik, Xu, Jianfeng, Hua Zhao, Jing, Nyholt, Dale R, Pellikka, Niina, Perola, Markus, Perry, John RB, Surakka, Ida, Tammesoo, Mari-Liis, Altmaier, Elizabeth L, Amin, Najaf, Aspelund, Thor, Bhangale, Tushar, Boucher, Gabrielle, Chasman, Daniel I, Chen, Constance, Coin, Lachlan, Cooper, Matthew N, Dixon, Anna L, Gibson, Quince, Grundberg, Elin, Hao, Ke, Juhani Junttila, M, Kaplan, Lee M, Kettunen, Johannes, König, Inke R, Kwan, Tony, Lawrence, Robert W, Levinson, Douglas F, Lorentzon, Mattias, McKnight, Barbara, Morris, Andrew P, Müller, Martina, Suh Ngwa, Julius, Purcell, Shaun, Rafelt, Suzanne, Salem, Rany M, and Salvi, Erika

Subjects
Biological Sciences, Genetics, Health Sciences, Mathematical Sciences, Statistics, Human Genome, Clinical Research, Biotechnology, Aetiology, 2.1 Biological and endogenous factors, Body Height, Chromosomes, Human, Pair 3, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Metabolic Networks and Pathways, Multifactorial Inheritance, Phenotype, Polymorphism, Single Nucleotide, General Science & Technology
Abstract

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P

Published
2010

42. A saturated map of common genetic variants associated with human height

Author

Yengo, Loïc, Vedantam, Sailaja, Marouli, Eirini, Sidorenko, Julia, Bartell, Eric, Sakaue, Saori, Graff, Marielisa, Eliasen, Anders U, Jiang, Yunxuan, Raghavan, Sridharan, Miao, Jenkai, Arias, Joshua D, Graham, Sarah E, Mukamel, Ronen E, Spracklen, Cassandra N, Yin, Xianyong, Chen, Shyh-Huei, Ferreira, Teresa, Highland, Heather H, Ji, Yingjie, Karaderi, Tugce, Lin, Kuang, Lüll, Kreete, Malden, Deborah E, Medina-Gomez, Carolina, Machado, Moara, Moore, Amy, Rüeger, Sina, Sim, Xueling, Vrieze, Scott, Ahluwalia, Tarunveer S, Akiyama, Masato, Allison, Matthew A, Alvarez, Marcus, Andersen, Mette K, Ani, Alireza, Appadurai, Vivek, Arbeeva, Liubov, Bhaskar, Seema, Bielak, Lawrence F, Bollepalli, Sailalitha, Bonnycastle, Lori L, Bork-Jensen, Jette, Bradfield, Jonathan P, Bradford, Yuki, Braund, Peter S, Brody, Jennifer A, Burgdorf, Kristoffer S, Cade, Brian E, Cai, Hui, Cai, Qiuyin, Campbell, Archie, Cañadas-Garre, Marisa, Catamo, Eulalia, Chai, Jin-Fang, Chai, Xiaoran, Chang, Li-Ching, Chang, Yi-Cheng, Chen, Chien-Hsiun, Chesi, Alessandra, Choi, Seung Hoan, Chung, Ren-Hua, Cocca, Massimiliano, Concas, Maria Pina, Couture, Christian, Cuellar-Partida, Gabriel, Danning, Rebecca, Daw, E Warwick, Degenhard, Frauke, Delgado, Graciela E, Delitala, Alessandro, Demirkan, Ayse, Deng, Xuan, Devineni, Poornima, Dietl, Alexander, Dimitriou, Maria, Dimitrov, Latchezar, Dorajoo, Rajkumar, Ekici, Arif B, Engmann, Jorgen E, Fairhurst-Hunter, Zammy, Farmaki, Aliki-Eleni, Faul, Jessica D, Fernandez-Lopez, Juan-Carlos, Forer, Lukas, Francescatto, Margherita, Freitag-Wolf, Sandra, Fuchsberger, Christian, Galesloot, Tessel E, Gao, Yan, Gao, Zishan, Geller, Frank, Giannakopoulou, Olga, Giulianini, Franco, Gjesing, Anette P, Goel, Anuj, Gordon, Scott D, Gorski, Mathias, Grove, Jakob, Guo, Xiuqing, Gustafsson, Stefan, Haessler, Jeffrey, Hansen, Thomas F, Havulinna, Aki S, Haworth, Simon J, He, Jing, Heard-Costa, Nancy, Hebbar, Prashantha, Hindy, George, Ho, Yuk-Lam A, Hofer, Edith, Holliday, Elizabeth, Horn, Katrin, Hornsby, Whitney E, Hottenga, Jouke-Jan, Huang, Hongyan, Huang, Jie, Huerta-Chagoya, Alicia, Huffman, Jennifer E, Hung, Yi-Jen, Huo, Shaofeng, Hwang, Mi Yeong, Iha, Hiroyuki, Ikeda, Daisuke D, Isono, Masato, Jackson, Anne U, Jäger, Susanne, Jansen, Iris E, Johansson, Ingegerd, Jonas, Jost B, Jonsson, Anna, Jørgensen, Torben, Kalafati, Ioanna-Panagiota, Kanai, Masahiro, Kanoni, Stavroula, Kårhus, Line L, Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kawaguchi, Takahisa, Kember, Rachel L, Kentistou, Katherine A, Kim, Han-Na, Kim, Young Jin, Kleber, Marcus E, Knol, Maria J, Kurbasic, Azra, Lauzon, Marie, Le, Phuong, Lea, Rodney, Lee, Jong-Young, Leonard, Hampton L, Li, Shengchao A, Li, Xiaohui, Li, Xiaoyin, Liang, Jingjing, Lin, Honghuang, Lin, Shih-Yi, Liu, Jun, Liu, Xueping, Lo, Ken Sin, Long, Jirong, Lores-Motta, Laura, Luan, Jian'an, Lyssenko, Valeriya, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamakou, Vasiliki, Mangino, Massimo, Manichaikul, Ani, Marten, 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Zimmermann, Martina E, Zoledziewska, Magdalena, Adair, Linda S, Adams, Hieab HH, Aguilar-Salinas, Carlos A, Al-Mulla, Fahd, Arnett, Donna K, Asselbergs, Folkert W, Åsvold, Bjørn Olav, Attia, John, Banas, Bernhard, Bandinelli, Stefania, Bennett, David A, Bergler, Tobias, Bharadwaj, Dwaipayan, Biino, Ginevra, Bisgaard, Hans, Boerwinkle, Eric, Böger, Carsten A, Bønnelykke, Klaus, Boomsma, Dorret I, Børglum, Anders D, Borja, Judith B, Bouchard, Claude, Bowden, Donald W, Brandslund, Ivan, Brumpton, Ben, Buring, Julie E, Caulfield, Mark J, Chambers, John C, Chandak, Giriraj R, Chanock, Stephen J, Chaturvedi, Nish, Chen, Yii-Der Ida, Chen, Zhengming, Cheng, Ching-Yu, Christophersen, Ingrid E, Ciullo, Marina, Cole, John W, Collins, Francis S, Cooper, Richard S, Cruz, Miguel, Cucca, Francesco, Cupples, L Adrienne, Cutler, Michael J, Damrauer, Scott M, Dantoft, Thomas M, De Borst, Gert J, De Groot, Lisette CPGM, De Jager, Philip L, De Kleijn, Dominique PV, Janaka De Silva, H, Dedoussis, George 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Roden, Dan M, Rosendaal, Frits R, Rotter, Jerome I, Rudan, Igor, Rutters, Femke, Sabanayagam, Charumathi, Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J, Sanghera, Dharambir K, Sattar, Naveed, Schmidt, Börge, Schmidt, Helena, Schmidt, Reinhold, Schulze, Matthias B, Schunkert, Heribert, Scott, Laura J, Scott, Rodney J, Sever, Peter, Shiroma, Eric J, Shoemaker, M Benjamin, Shu, Xiao-Ou, Simonsick, Eleanor M, Sims, Mario, Singh, Jai Rup, Singleton, Andrew B, Sinner, Moritz F, Smith, J Gustav, Snieder, Harold, Spector, Tim D, Stampfer, Meir J, Stark, Klaus J, Strachan, David P, 'T Hart, Leen M, Tabara, Yasuharu, Tang, Hua, Tardif, Jean-Claude, Thanaraj, Thangavel A, Timpson, Nicholas J, Tönjes, Anke, Tremblay, Angelo, Tuomi, Tiinamaija, Tuomilehto, Jaakko, Tusié-Luna, Maria-Teresa, Uitterlinden, Andre G, Van Dam, Rob M, Van Der Harst, Pim, Van Der Velde, Nathalie, Van Duijn, Cornelia M, Van Schoor, Natasja M, Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Völzke, Henry, Wacher-Rodarte, Niels H, Walker, Mark, Wang, Ya Xing, Wareham, Nicholas J, Watanabe, Richard M, Watkins, Hugh, Weir, David R, Werge, Thomas M, Widen, Elisabeth, Wilkens, Lynne R, Willemsen, Gonneke, Willett, Walter C, Wilson, James F, Wong, Tien-Yin, Woo, Jeong-Taek, Wright, Alan F, Wu, Jer-Yuarn, Xu, Huichun, Yajnik, Chittaranjan S, Yokota, Mitsuhiro, Yuan, Jian-Min, Zeggini, Eleftheria, Zemel, Babette S, Zheng, Wei, Zhu, Xiaofeng, Zmuda, Joseph M, Zonderman, Alan B, Zwart, John-Anker, 23andMe Research Team, VA Million Veteran Program, DiscovEHR (DiscovEHR And MyCode Community Health Initiative), EMERGE (Electronic Medical Records And Genomics Network), Lifelines Cohort Study, PRACTICAL Consortium, Understanding Society Scientific Group, Chasman, Daniel I, Cho, Yoon Shin, Heid, Iris M, McCarthy, Mark I, Ng, Maggie CY, O'Donnell, Christopher J, Rivadeneira, Fernando, Thorsteinsdottir, Unnur, Sun, Yan V, Tai, E Shyong, Boehnke, Michael, Deloukas, Panos, Justice, Anne E, Lindgren, Cecilia M, Loos, Ruth JF, Mohlke, Karen L, North, Kari E, Stefansson, Kari, Walters, Robin G, Winkler, Thomas W, Young, Kristin L, Loh, Po-Ru, Yang, Jian, Esko, Tõnu, Assimes, Themistocles L, Auton, Adam, Abecasis, Goncalo R, Willer, Cristen J, Locke, Adam E, Berndt, Sonja I, Lettre, Guillaume, Frayling, Timothy M, Okada, Yukinori, Wood, Andrew R, Visscher, Peter M, Hirschhorn, Joel N, Oral Implantology, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Liability Law, Earth Sciences, Amsterdam Reproduction & Development, APH - Mental Health, APH - Methodology, Environmental Geography (former), Art and Culture, History, Antiquity, Sociology and Social Gerontology, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Nutrition and Health, Organic Chemistry, AIMMS, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Internal Medicine, Epidemiology, Radiology & Nuclear Medicine, Clinical Genetics, Team, 23andMe Research, Program, VA Million Veteran, Initiative), DiscovEHR (DiscovEHR and 112 MyCode Community Health, Network), eMERGE (Electronic Medical Records and Genomics, Study, Lifelines Cohort, Consortium, The PRACTICAL, Group, Understanding Society Scientific, Yengo, Loïc [0000-0002-4272-9305], Apollo - University of Cambridge Repository, Laboratory Genetic Metabolic Diseases, Laboratory for General Clinical Chemistry, Geriatrics, AMS - Ageing & Vitality, APH - Aging & Later Life, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, ACS - Heart failure & arrhythmias, Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, General practice, ACS - Diabetes & metabolism, Human genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Reproduction & Development (AR&D), Epidemiology and Data Science, Internal medicine, APH - Digital Health, Tampere University, Department of Clinical Chemistry, Clinical Medicine, Department of Clinical Physiology and Nuclear Medicine, Yengo, Loïc, Vedantam, Sailaja, Marouli, Eirini, Sidorenko, Julia, Hypponen, Elina, Hirschhorn, Joel N, Epigenetics of Complex Diseases and Traits, Institute for Molecular Medicine Finland, Helsinki Institute of Life Science HiLIFE, Joint Activities, University of Helsinki, Medicum, Complex Disease Genetics, Samuli Olli Ripatti / Principal Investigator, Helsinki Institute of Life Science HiLIFE, Department of Medicine, HUS Internal Medicine and Rehabilitation, Clinicum, Centre of Excellence in Complex Disease Genetics, Department of Public Health, Faculty Common Matters (Faculty of Social Sciences), Research Programs Unit, HUS Abdominal Center, Tiinamaija Tuomi Research Group, CAMM - Research Program for Clinical and Molecular Metabolism, Departments of Faculty of Veterinary Medicine, Elisabeth Ingrid Maria Widen / Principal Investigator, Genomic Discoveries and Clinical Translation, 23andMe Research Team, VA Million Veteran Program, DiscovEHR (DiscovEHR and MyCode Community Health Initiative), eMERGE (Electronic Medical Records and Genomics Network), Lifelines Cohort Study, PRACTICAL Consortium, Understanding Society Scientific Group, Partida, G.C., Sun, Y., Croteau-Chonka, D., Vonk, J.M., Chanock, S., Le Marchand, L., Bartell, Eric, Sakaue, Saori, Graff, Marielisa, Eliasen, Anders U, Jiang, Yunxuan, Raghavan, Sridharan, Miao, Jenkai, Arias, Joshua D, Graham, Sarah E, Mukamel, Ronen E, Spracklen, Cassandra N, Yin, Xianyong, Chen, Shyh-Huei, Ferreira, Teresa, Highland, Heather H, Ji, Yingjie, Karaderi, Tugce, Lin, Kuang, Lüll, Kreete, Malden, Deborah E, Medina-Gomez, Carolina, Machado, Moara, Moore, Amy, Rüeger, Sina, Sim, Xueling, Vrieze, Scott, Ahluwalia, Tarunveer S, Akiyama, Masato, Allison, Matthew A, Alvarez, Marcu, Andersen, Mette K, Ani, Alireza, Appadurai, Vivek, Arbeeva, Liubov, Bhaskar, Seema, Bielak, Lawrence F, Bollepalli, Sailalitha, Bonnycastle, Lori L, Bork-Jensen, Jette, Bradfield, Jonathan P, Bradford, Yuki, Braund, Peter S, Brody, Jennifer A, Burgdorf, Kristoffer S, Cade, Brian E, Cai, Hui, Cai, Qiuyin, Campbell, Archie, Cañadas-Garre, Marisa, Catamo, Eulalia, Chai, Jin-Fang, Chai, Xiaoran, Chang, Li-Ching, Chang, Yi-Cheng, Chen, Chien-Hsiun, Chesi, Alessandra, Choi, Seung Hoan, Chung, Ren-Hua, Cocca, Massimiliano, Concas, Maria Pina, Couture, Christian, Cuellar-Partida, Gabriel, Danning, Rebecca, Daw, E Warwick, Degenhard, Frauke, Delgado, Graciela E, Delitala, Alessandro, Demirkan, Ayse, Deng, Xuan, Devineni, Poornima, Dietl, Alexander, Dimitriou, Maria, Dimitrov, Latchezar, Dorajoo, Rajkumar, Ekici, Arif B, Engmann, Jorgen E, Fairhurst-Hunter, Zammy, Farmaki, Aliki-Eleni, Faul, Jessica D, Fernandez-Lopez, Juan-Carlo, Forer, Luka, Francescatto, Margherita, Freitag-Wolf, Sandra, Fuchsberger, Christian, Galesloot, Tessel E, Gao, Yan, Gao, Zishan, Geller, Frank, Giannakopoulou, Olga, Giulianini, Franco, Gjesing, Anette P, Goel, Anuj, Gordon, Scott D, Gorski, Mathia, Grove, Jakob, Guo, Xiuqing, Gustafsson, Stefan, Haessler, Jeffrey, Hansen, Thomas F, Havulinna, Aki S, Haworth, Simon J, He, Jing, Heard-Costa, Nancy, Hebbar, Prashantha, Hindy, George, Ho, Yuk-Lam A, Hofer, Edith, Holliday, Elizabeth, Horn, Katrin, Hornsby, Whitney E, Hottenga, Jouke-Jan, Huang, Hongyan, Huang, Jie, Huerta-Chagoya, Alicia, Huffman, Jennifer E, Hung, Yi-Jen, Huo, Shaofeng, Hwang, Mi Yeong, Iha, Hiroyuki, Ikeda, Daisuke D, Isono, Masato, Jackson, Anne U, Jäger, Susanne, Jansen, Iris E, Johansson, Ingegerd, Jonas, Jost B, Jonsson, Anna, Jørgensen, Torben, Kalafati, Ioanna-Panagiota, Kanai, Masahiro, Kanoni, Stavroula, Kårhus, Line L, Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kawaguchi, Takahisa, Kember, Rachel L, Kentistou, Katherine A, Kim, Han-Na, Kim, Young Jin, Kleber, Marcus E, Knol, Maria J, Kurbasic, Azra, Lauzon, Marie, Le, Phuong, Lea, Rodney, Lee, Jong-Young, Leonard, Hampton L, Li, Shengchao A, Li, Xiaohui, Li, Xiaoyin, Liang, Jingjing, Lin, Honghuang, Lin, Shih-Yi, Liu, Jun, Liu, Xueping, Lo, Ken Sin, Long, Jirong, Lores-Motta, Laura, Luan, Jian'An, Lyssenko, Valeriya, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamakou, Vasiliki, Mangino, Massimo, Manichaikul, Ani, Marten, Jonathan, Mattheisen, Manuel, Mavarani, Laven, Mcdaid, Aaron F, Meidtner, Karina, Melendez, Tori L, Mercader, Josep M, Milaneschi, Yuri, Miller, Jason E, Millwood, Iona Y, Mishra, Pashupati P, Mitchell, Ruth E, Møllehave, Line T, Morgan, Anna, Mucha, Soeren, Munz, Matthia, Nakatochi, Masahiro, Nelson, Christopher P, Nethander, Maria, Nho, Chu Won, Nielsen, Aneta A, Nolte, Ilja M, Nongmaithem, Suraj S, Noordam, Raymond, Ntalla, Ioanna, Nutile, Teresa, Pandit, Anita, Christofidou, Paraskevi, Pärna, Katri, Pauper, Marc, Petersen, Eva R B, Petersen, Liselotte V, Pitkänen, Niina, Polašek, Ozren, Poveda, Alaitz, Preuss, Michael H, Pyarajan, Saiju, Raffield, Laura M, Rakugi, Hiromi, Ramirez, Julia, Rasheed, Asif, Raven, Denni, Rayner, Nigel W, Riveros, Carlo, Rohde, Rebecca, Ruggiero, Daniela, Ruotsalainen, Sanni E, Ryan, Kathleen A, Sabater-Lleal, Maria, Saxena, Richa, Scholz, Marku, Sendamarai, Anoop, Shen, Botong, Shi, Jingchunzi, Shin, Jae Hun, Sidore, Carlo, Sitlani, Colleen M, Slieker, Roderick C, Smit, Roelof A J, Smith, Albert V, Smith, Jennifer A, Smyth, Laura J, Southam, Lorraine, Steinthorsdottir, Valgerdur, Sun, Liang, Takeuchi, Fumihiko, Tallapragada, Divya Sri Priyanka, Taylor, Kent D, Tayo, Bamidele O, Tcheandjieu, Catherine, Terzikhan, Natalie, Tesolin, Paola, Teumer, Alexander, Theusch, Elizabeth, Thompson, Deborah J, Thorleifsson, Gudmar, Timmers, Paul R H J, Trompet, Stella, Turman, Constance, Vaccargiu, Simona, van der Laan, Sander W, van der Most, Peter J, van Klinken, Jan B, van Setten, Jessica, Verma, Shefali S, Verweij, Niek, Veturi, Yogasudha, Wang, Carol A, Wang, Chaolong, Wang, Lihua, Wang, Zhe, Warren, Helen R, Bin Wei, Wen, Wickremasinghe, Ananda R, Wielscher, Matthia, Wiggins, Kerri L, Winsvold, Bendik S, Wong, Andrew, Wu, Yang, Wuttke, Matthia, Xia, Rui, Xie, Tian, Yamamoto, Ken, Yang, Jingyun, Yao, Jie, Young, Hannah, Yousri, Noha A, Yu, Lei, Zeng, Lingyao, Zhang, Weihua, Zhang, Xinyuan, Zhao, Jing-Hua, Zhao, Wei, Zhou, Wei, Zimmermann, Martina E, Zoledziewska, Magdalena, Adair, Linda S, Adams, Hieab H H, Aguilar-Salinas, Carlos A, Al-Mulla, Fahd, Arnett, Donna K, Asselbergs, Folkert W, Åsvold, Bjørn Olav, Attia, John, Banas, Bernhard, Bandinelli, Stefania, Bennett, David A, Bergler, Tobia, Bharadwaj, Dwaipayan, Biino, Ginevra, Bisgaard, Han, Boerwinkle, Eric, Böger, Carsten A, Bønnelykke, Klau, Boomsma, Dorret I, Børglum, Anders D, Borja, Judith B, Bouchard, Claude, Bowden, Donald W, Brandslund, Ivan, Brumpton, Ben, Buring, Julie E, Caulfield, Mark J, Chambers, John C, Chandak, Giriraj R, Chanock, Stephen J, Chaturvedi, Nish, Chen, Yii-Der Ida, Chen, Zhengming, Cheng, Ching-Yu, Christophersen, Ingrid E, Ciullo, Marina, Cole, John W, Collins, Francis S, Cooper, Richard S, Cruz, Miguel, Cucca, Francesco, Cupples, L Adrienne, Cutler, Michael J, Damrauer, Scott M, Dantoft, Thomas M, de Borst, Gert J, de Groot, Lisette C P G M, De Jager, Philip L, de Kleijn, Dominique P V, Janaka de Silva, H, Dedoussis, George V, den Hollander, Anneke I, Du, Shufa, Easton, Douglas F, Elders, Petra J M, Eliassen, A Heather, Ellinor, Patrick T, Elmståhl, Sölve, Erdmann, Jeanette, Evans, Michele K, Fatkin, Diane, Feenstra, Bjarke, Feitosa, Mary F, Ferrucci, Luigi, Ford, Ian, Fornage, Myriam, Franke, Andre, Franks, Paul W, Freedman, Barry I, Gasparini, Paolo, Gieger, Christian, Girotto, Giorgia, Goddard, Michael E, Golightly, Yvonne M, Gonzalez-Villalpando, Clicerio, Gordon-Larsen, Penny, Grallert, Harald, Grant, Struan F A, Grarup, Niel, Griffiths, Lyn, Gudnason, Vilmundur, Haiman, Christopher, Hakonarson, Hakon, Hansen, Torben, Hartman, Catharina A, Hattersley, Andrew T, Hayward, Caroline, Heckbert, Susan R, Heng, Chew-Kiat, Hengstenberg, Christian, Hewitt, Alex W, Hishigaki, Haretsugu, Hoyng, Carel B, Huang, Paul L, Huang, Wei, Hunt, Steven C, Hveem, Kristian, Hyppönen, Elina, Iacono, William G, Ichihara, Sahoko, Ikram, M Arfan, Isasi, Carmen R, Jackson, Rebecca D, Jarvelin, Marjo-Riitta, Jin, Zi-Bing, Jöckel, Karl-Heinz, Joshi, Peter K, Jousilahti, Pekka, Jukema, J Wouter, Kähönen, Mika, Kamatani, Yoichiro, Kang, Kui Dong, Kaprio, Jaakko, Kardia, Sharon L R, Karpe, Fredrik, Kato, Norihiro, Kee, Frank, Kessler, Thorsten, Khera, Amit V, Khor, Chiea Chuen, Kiemeney, Lambertus A L M, Kim, Bong-Jo, Kim, Eung Kweon, Kim, Hyung-Lae, Kirchhof, Paulu, Kivimaki, Mika, Koh, Woon-Puay, Koistinen, Heikki A, Kolovou, Genovefa D, Kooner, Jaspal S, Kooperberg, Charle, Köttgen, Anna, Kovacs, Peter, Kraaijeveld, Adriaan, Kraft, Peter, Krauss, Ronald M, Kumari, Meena, Kutalik, Zoltan, Laakso, Markku, Lange, Leslie A, Langenberg, Claudia, Launer, Lenore J, Le Marchand, Loic, Lee, Hyejin, Lee, Nanette R, Lehtimäki, Terho, Li, Huaixing, Li, Liming, Lieb, Wolfgang, Lin, Xu, Lind, Lar, Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Loeffler, Marku, London, Barry, Lubitz, Steven A, Lye, Stephen J, Mackey, David A, Mägi, Reedik, Magnusson, Patrik K E, Marcus, Gregory M, Vidal, Pedro Marque, Martin, Nicholas G, März, Winfried, Matsuda, Fumihiko, Mcgarrah, Robert W, Mcgue, Matt, Mcknight, Amy Jayne, Medland, Sarah E, Mellström, Dan, Metspalu, Andre, Mitchell, Braxton D, Mitchell, Paul, Mook-Kanamori, Dennis O, Morris, Andrew D, Mucci, Lorelei A, Munroe, Patricia B, Nalls, Mike A, Nazarian, Saman, Nelson, Amanda E, Neville, Matt J, Newton-Cheh, Christopher, Nielsen, Christopher S, Nöthen, Markus M, Ohlsson, Clae, Oldehinkel, Albertine J, Orozco, Lorena, Pahkala, Katja, Pajukanta, Päivi, Palmer, Colin N A, Parra, Esteban J, Pattaro, Cristian, Pedersen, Oluf, Pennell, Craig E, Penninx, Brenda W J H, Perusse, Loui, Peters, Annette, Peyser, Patricia A, Porteous, David J, Posthuma, Danielle, Power, Chri, Pramstaller, Peter P, Province, Michael A, Qi, Qibin, Qu, Jia, Rader, Daniel J, Raitakari, Olli T, Ralhan, Sarju, Rallidis, Loukianos S, Rao, Dabeeru C, Redline, Susan, Reilly, Dermot F, Reiner, Alexander P, Rhee, Sang Youl, Ridker, Paul M, Rienstra, Michiel, Ripatti, Samuli, Ritchie, Marylyn D, Roden, Dan M, Rosendaal, Frits R, Rotter, Jerome I, Rudan, Igor, Rutters, Femke, Sabanayagam, Charumathi, Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J, Sanghera, Dharambir K, Sattar, Naveed, Schmidt, Börge, Schmidt, Helena, Schmidt, Reinhold, Schulze, Matthias B, Schunkert, Heribert, Scott, Laura J, Scott, Rodney J, Sever, Peter, Shiroma, Eric J, Shoemaker, M Benjamin, Shu, Xiao-Ou, Simonsick, Eleanor M, Sims, Mario, Singh, Jai Rup, Singleton, Andrew B, Sinner, Moritz F, Smith, J Gustav, Snieder, Harold, Spector, Tim D, Stampfer, Meir J, Stark, Klaus J, Strachan, David P, 't Hart, Leen M, Tabara, Yasuharu, Tang, Hua, Tardif, Jean-Claude, Thanaraj, Thangavel A, Timpson, Nicholas J, Tönjes, Anke, Tremblay, Angelo, Tuomi, Tiinamaija, Tuomilehto, Jaakko, Tusié-Luna, Maria-Teresa, Uitterlinden, Andre G, van Dam, Rob M, van der Harst, Pim, Van der Velde, Nathalie, van Duijn, Cornelia M, van Schoor, Natasja M, Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Völzke, Henry, Wacher-Rodarte, Niels H, Walker, Mark, Wang, Ya Xing, Wareham, Nicholas J, Watanabe, Richard M, Watkins, Hugh, Weir, David R, Werge, Thomas M, Widen, Elisabeth, Wilkens, Lynne R, Willemsen, Gonneke, Willett, Walter C, Wilson, James F, Wong, Tien-Yin, Woo, Jeong-Taek, Wright, Alan F, Wu, Jer-Yuarn, Xu, Huichun, Yajnik, Chittaranjan S, Yokota, Mitsuhiro, Yuan, Jian-Min, Zeggini, Eleftheria, Zemel, Babette S, Zheng, Wei, Zhu, Xiaofeng, Zmuda, Joseph M, Zonderman, Alan B, Zwart, John-Anker, Chasman, Daniel I, Cho, Yoon Shin, Heid, Iris M, Mccarthy, Mark I, Ng, Maggie C Y, O'Donnell, Christopher J, Rivadeneira, Fernando, Thorsteinsdottir, Unnur, Sun, Yan V, Tai, E Shyong, Boehnke, Michael, Deloukas, Pano, Justice, Anne E, Lindgren, Cecilia M, Loos, Ruth J F, Mohlke, Karen L, North, Kari E, Stefansson, Kari, Walters, Robin G, Winkler, Thomas W, Young, Kristin L, Loh, Po-Ru, Yang, Jian, Esko, Tõnu, Assimes, Themistocles L, Auton, Adam, Abecasis, Goncalo R, Willer, Cristen J, Locke, Adam E, Berndt, Sonja I, Lettre, Guillaume, Frayling, Timothy M, Okada, Yukinori, Wood, Andrew R, and Visscher, Peter M

Subjects
multi-ancestry, lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], Medizin, 45/43, Genome-wide association studies, Sensory disorders Donders Center for Medical Neuroscience [Radboudumc 12], Linkage Disequilibrium, Gene Frequency, RARE, IMPUTATION, PRACTICAL Consortium, GWAS, genes, ARCHITECTURE, Genome, Human/genetics, Multidisciplinary, Body Height/genetics, HERITABILITY, SCORES, article, Chromosome Mapping, 631/208/721, Polymorphism, Single Nucleotide/genetics, 3142 Public health care science, environmental and occupational health, Nutritional Biology, Europe, Phenotype, Gene Frequency/genetics, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], VA Million Veteran Program, Molecular and Laser Physics, dimorphism, blood, lipid, Medical Genetics, Single Nucleotide/genetics, genetic variant, Understanding Society Scientific Group, height, genetic, Haplotypes/genetics, 631/208/205/2138, saturated map, 23andMe Research Team, Polymorphism, Single Nucleotide, single-nucleotide polymorphisms (SNPs), Europe/ethnology, Lifelines Cohort Study, RESOURCE, UK BIOBANK, REVEALS, Life Science, DiscovEHR (DiscovEHR and MyCode Community Health Initiative), Humans, Linkage Disequilibrium/genetics, genomic regions, Polymorphism, GENOME-WIDE ASSOCIATION, gene, genetic variants, human height, 631/208/480, VLAG, Medicinsk genetik, eMERGE (Electronic Medical Records and Genomics Network), Genome, Human, Spectroscopy of Cold Molecules, Quantitative traits, Genome, Human/genetics, Genome-Wide Association Study, Sample Size, Body Height, 3141 Health care science, Haplotypes, Genetic markers, 3111 Biomedicine
Abstract

Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes(1). Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the regions of increased density are enriched for biologically relevant genes. In out-of-sample estimation and prediction, the 12,111 SNPs (or all SNPs in the HapMap 3 panel(2)) account for 40% (45%) of phenotypic variance in populations of European ancestry but only around 10-20% (14-24%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than are needed to implicate causal genes and variants. Overall, this study provides a comprehensive map of specific genomic regions that contain the vast majority of common height-associated variants. Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries. A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.

Published
2022

43. Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes

Author

Berndt, Sonja I, Vijai, Joseph, Benavente, Yolanda, Camp, Nicola J, Nieters, Alexandra, Wang, Zhaoming, Smedby, Karin E, Kleinstern, Geffen, Hjalgrim, Henrik, Besson, Caroline, Skibola, Christine F, Morton, Lindsay M, Brooks-Wilson, Angela R, Teras, Lauren R, Breeze, Charles, Arias, Joshua, Adami, Hans-Olov, Albanes, Demetrius, Anderson, Kenneth C, Ansell, Stephen M, Bassig, Bryan, Becker, Nikolaus, Bhatti, Parveen, Birmann, Brenda M, Boffetta, Paolo, Bracci, Paige M, Brennan, Paul, Brown, Elizabeth E, Burdett, Laurie, Cannon-Albright, Lisa A, Chang, Ellen T, Chiu, Brian C H, Chung, Charles C, Clavel, Jacqueline, Cocco, Pierluigi, Colditz, Graham, Conde, Lucia, Conti, David V, Cox, David G, Curtin, Karen, Casabonne, Delphine, De Vivo, Immaculata, Diver, W Ryan, Dogan, Ahmet, Edlund, Christopher K, Foretova, Lenka, Fraumeni, Joseph F, Gabbas, Attilio, Ghesquières, Hervé, Giles, Graham G, Glaser, Sally, Glenn, Martha, Glimelius, Bengt, Gu, Jian, Habermann, Thomas M, Haiman, Christopher A, Haioun, Corinne, Hofmann, Jonathan N, Holford, Theodore R, Holly, Elizabeth A, Hutchinson, Amy, Izhar, Aalin, Jackson, Rebecca D, Jarrett, Ruth F, Kaaks, Rudolph, Kane, Eleanor, Kolonel, Laurence N, Kong, Yinfei, Kraft, Peter, Kricker, Anne, Lake, Annette, Lan, Qing, Lawrence, Charles, Li, Dalin, Liebow, Mark, Link, Brian K, Magnani, Corrado, Maynadie, Marc, McKay, James, Melbye, Mads, Miligi, Lucia, Milne, Roger L, Molina, Thierry J, Monnereau, Alain, Montalvan, Rebecca, North, Kari E, Novak, Anne J, Onel, Kenan, Purdue, Mark P, Rand, Kristin A, Riboli, Elio, Riby, Jacques, Roman, Eve, Salles, Gilles, Sborov, Douglas W, Severson, Richard K, Shanafelt, Tait D, Smith, Martyn T, Smith, Alexandra, Song, Kevin W, Song, Lei, Southey, Melissa C, Spinelli, John J, Staines, Anthony, Stephens, Deborah, Sutherland, Heather J, Tkachuk, Kaitlyn, Thompson, Carrie A, Tilly, Hervé, Tinker, Lesley F, Travis, Ruth C, Turner, Jenny, Vachon, Celine M, Vajdic, Claire M, Van Den Berg, Anke, Van Den Berg, David J, Vermeulen, Roel C H, Vineis, Paolo, Wang, Sophia S, Weiderpass, Elisabete, Weiner, George J, Weinstein, Stephanie, Doo, Nicole Wong, Ye, Yuanqing, Yeager, Meredith, Yu, Kai, Zeleniuch-Jacquotte, Anne, Zhang, Yawei, Zheng, Tongzhang, Ziv, Elad, Sampson, Joshua, Chatterjee, Nilanjan, Offit, Kenneth, Cozen, Wendy, Wu, Xifeng, Cerhan, James R, Chanock, Stephen J, Slager, Susan L, Rothman, Nathaniel, IRAS OH Epidemiology Chemical Agents, Translational Immunology Groningen (TRIGR), Stem Cell Aging Leukemia and Lymphoma (SALL), and IRAS OH Epidemiology Chemical Agents

Subjects
Cancer Research, Lymphoma, Lymphoma, Non-Hodgkin, Hematology, Single Nucleotide, Polymorphism, Single Nucleotide, Germ Cells, Oncology, Risk Factors, Lymphoma, Non-Hodgkin/genetics, Case-Control Studies, Humans, Genetic Predisposition to Disease, Polymorphism, Non-Hodgkin/genetics, Genome-Wide Association Study
Abstract

Lymphoma risk is elevated for relatives with common non-Hodgkin lymphoma (NHL) subtypes, suggesting shared genetic susceptibility across subtypes. To evaluate the extent of mutual heritability among NHL subtypes and discover novel loci shared among subtypes, we analyzed data from eight genome-wide association studies within the InterLymph Consortium, including 10,629 cases and 9505 controls. We utilized Association analysis based on SubSETs (ASSET) to discover loci for subsets of NHL subtypes and evaluated shared heritability across the genome using Genome-wide Complex Trait Analysis (GCTA) and polygenic risk scores. We discovered 17 genome-wide significant loci (P < 5 × 10−8) for subsets of NHL subtypes, including a novel locus at 10q23.33 (HHEX) (P = 3.27 × 10−9). Most subset associations were driven primarily by only one subtype. Genome-wide genetic correlations between pairs of subtypes varied broadly from 0.20 to 0.86, suggesting substantial heterogeneity in the extent of shared heritability among subtypes. Polygenic risk score analyses of established loci for different lymphoid malignancies identified strong associations with some NHL subtypes (P < 5 × 10−8), but weak or null associations with others. Although our analyses suggest partially shared heritability and biological pathways, they reveal substantial heterogeneity among NHL subtypes with each having its own distinct germline genetic architecture.

Published
2022

45. New genetic loci link adipose and insulin biology to body fat distribution

Author

Shungin, Dmitry, Winkler, Thomas W, Workalemahu, Tsegaselassie, Hartman, Catharina A, Duncan, Emma L, Ntzani, Evangelia E, Oei, Ling, Albagha, Omar M E, Amin, Najaf, Kemp, John P, Koller, Daniel L, Li, Guo, Liu, Ching-Ti, Minster, Ryan L, Hassinen, Maija, Moayyeri, Alireza, Vandenput, Liesbeth, Willner, Dana, Xiao, Su-Mei, Yerges-Armstrong, Laura M, Zheng, Hou-Feng, Alonso, Nerea, Eriksson, Joel, Kammerer, Candace M, Kaptoge, Stephen K, Hayward, Caroline, Leo, Paul J, Thorleifsson, Gudmar, Wilson, Scott G, Wilson, James F, Aalto, Ville, Alen, Markku, Aragaki, Aaron K, Aspelund, Thor, Center, Jacqueline R, Dailiana, Zoe, Heikkilä, Kauko, Duggan, David J, Garcia, Melissa, Garcia-Giralt, Natàlia, Giroux, Sylvie, Hallmans, Göran, Hocking, Lynne J, Husted, Lise Bjerre, Jameson, Karen A, Khusainova, Rita, Kim, Ghi Su, Herzig, Karl-Heinz, Kooperberg, Charles, Koromila, Theodora, Kruk, Marcin, Laaksonen, Marika, Lacroix, Andrea Z, Lee, Seung Hun, Leung, Ping C, Lewis, Joshua R, Masi, Laura, Mencej-Bedrac, Simona, Helmer, Quinta, Nguyen, Tuan V, Nogues, Xavier, Patel, Millan S, Prezelj, Janez, Rose, Lynda M, Scollen, Serena, Siggeirsdottir, Kristin, Smith, Albert V, Svensson, Olle, Trompet, Stella, Hillege, Hans L, Trummer, Olivia, van Schoor, Natasja M, Woo, Jean, Zhu, Kun, Balcells, Susana, Brandi, Maria Luisa, Buckley, Brendan M, Cheng, Sulin, Christiansen, Claus, Cooper, Cyrus, Holmen, Oddgeir, Dedoussis, George, Ford, Ian, Frost, Morten, Goltzman, David, González-Macías, Jesús, Kähönen, Mika, Karlsson, Magnus, Khusnutdinova, Elza, Koh, Jung-Min, Kollia, Panagoula, Hunt, Steven C, Langdahl, Bente Lomholt, Leslie, William D, Lips, Paul, Ljunggren, Östen, Lorenc, Roman S, Marc, Janja, Mellström, Dan, Obermayer-Pietsch, Barbara, Olmos, José M, Pettersson-Kymmer, Ulrika, Isaacs, Aaron, Reid, David M, Riancho, José A, Ridker, Paul M, Rousseau, François, Slagboom, P Eline, Tang, Nelson L S, Urreizti, Roser, Van Hul, Wim, Viikari, Jorma, Zarrabeitia, María T, Wu, Joseph M W, Ittermann, Till, Aulchenko, Yurii S, Castano-Betancourt, Martha, Grundberg, Elin, Herrera, Lizbeth, Ingvarsson, Thorvaldur, Johannsdottir, Hrefna, Kwan, Tony, Li, Rui, Luben, Robert, Medina-Gómez, Carolina, James, Alan L, Palsson, Stefan Th, Reppe, Sjur, Rotter, Jerome I, Sigurdsson, Gunnar, van Meurs, Joyce B J, Verlaan, Dominique, Williams, Frances M K, Wood, Andrew R, Zhou, Yanhua, Gautvik, Kaare M, Johansson, Ingegerd, Pastinen, Tomi, Raychaudhuri, Soumya, Cauley, Jane A, Chasman, Daniel I, Clark, Graeme R, Cummings, Steven R, Danoy, Patrick, Dennison, Elaine M, Eastell, Richard, Eisman, John A, Juliusdottir, Thorhildur, Gudnason, Vilmundur, Hofman, Albert, Jackson, Rebecca D, Jones, Graeme, Jukema, J Wouter, Khaw, Kay-Tee, Lehtimäki, Terho, Liu, Yongmei, Lorentzon, Mattias, McCloskey, Eugene, Kalafati, Ioanna-Panagiota, Mitchell, Braxton D, Nandakumar, Kannabiran, Nicholson, Geoffrey C, Oostra, Ben A, Peacock, Munro, Pols, Huibert A P, Prince, Richard L, Raitakari, Olli, Reid, Ian R, Robbins, John, Kinnunen, Leena, Sambrook, Philip N, Sham, Pak Chung, Shuldiner, Alan R, Tylavsky, Frances A, van Duijn, Cornelia M, Wareham, Nick J, Cupples, L Adrienne, Econs, Michael J, Evans, David M, Harris, Tamara B, Koenig, Wolfgang, Kung, Annie Wai Chee, Psaty, Bruce M, Reeve, Jonathan, Spector, Timothy D, Streeten, Elizabeth A, Zillikens, M Carola, Thorsteinsdottir, Unnur, Ohlsson, Claes, Karasik, David, Richards, J Brent, Kooner, Ishminder K, Brown, Matthew A, Stefansson, Kari, Uitterlinden, André G, Ralston, Stuart H, Ioannidis, John P A, Kiel, Douglas P, Rivadeneira, Fernando, Sandholm, Niina, Salem, Rany M, McKnight, Amy Jayne, Kratzer, Wolfgang, Brennan, Eoin P, Forsblom, Carol, Isakova, Tamara, McKay, Gareth J, Williams, Winfred W, Sadlier, Denise M, Mäkinen, Ville-Petteri, Swan, Elizabeth J, Palmer, Cameron, Boright, Andrew P, Lamina, Claudia, Ahlqvist, Emma, Deshmukh, Harshal A, Keller, Benjamin J, Huang, Huateng, Ahola, Aila, Fagerholm, Emma, Gordin, Daniel, Harjutsalo, Valma, He, Bing, Heikkilä, Outi, Buchkovich, Martin L, Leander, Karin, Hietala, Kustaa, Kytö, Janne, Lahermo, Päivi, Lehto, Markku, Österholm, Anne-May, Parkkonen, Maija, Pitkäniemi, Janne, Rosengård-Bärlund, Milla, Saraheimo, Markku, Sarti, Cinzia, Lee, Nanette R, Söderlund, Jenny, Soro-Paavonen, Aino, Syreeni, Anna, Thorn, Lena M, Tikkanen, Heikki, Tolonen, Nina, Tryggvason, Karl, Tuomilehto, Jaakko, Wadén, Johan, Gill, Geoffrey V, Lichtner, Peter, Prior, Sarah, Guiducci, Candace, Mirel, Daniel B, Taylor, Andrew, Hosseini, Mohsen, Parving, Hans-Henrik, Rossing, Peter, Tarnow, Lise, Ladenvall, Claes, Alhenc-Gelas, François, Lind, Lars, Lefebvre, Pierre, Rigalleau, Vincent, Roussel, Ronan, Tregouet, David-Alexandre, Maestroni, Anna, Maestroni, Silvia, Falhammar, Henrik, Gu, Tianwei, Möllsten, Anna, Cimponeriu, Dan, Lindström, Jaana, Mihai, Ioana, Mota, Maria, Mota, Eugen, Serafinceanu, Cristian, Stavarachi, Monica, Hanson, Robert L, Nelson, Robert G, Kretzler, Matthias, Colhoun, Helen M, Panduru, Nicolae Mircea, Lobbens, Stéphane, Gu, Harvest F, Brismar, Kerstin, Zerbini, Gianpaolo, Hadjadj, Samy, Marre, Michel, Groop, Leif, Lajer, Maria, Bull, Shelley B, Waggott, Daryl, Paterson, Andrew D, Savage, David A, Bain, Stephen C, Martin, Finian, Hirschhorn, Joel N, Godson, Catherine, Florez, Jose C, Groop, Per-Henrik, Maxwell, Alexander P, Willer, Cristen J, Schmidt, Ellen M, Mach, François, Sengupta, Sebanti, Peloso, Gina M, Gustafsson, Stefan, Kanoni, Stavroula, Ganna, Andrea, Chen, Jin, Mora, Samia, Beckmann, Jacques S, Bragg-Gresham, Jennifer L, Magnusson, Patrik Ke, Chang, Hsing-Yi, Demirkan, Ayşe, Den Hertog, Heleen M, Do, Ron, Donnelly, Louise A, Ehret, Georg B, Esko, Tõnu, Feitosa, Mary F, Ferreira, Teresa, Fischer, Krista, Mahajan, Anubha, Fontanillas, Pierre, Fraser, Ross M, Freitag, Daniel F, Gurdasani, Deepti, Hyppönen, Elina, Jackson, Anne U, Johansson, Åsa, Johnson, Toby, Heard-Costa, Nancy L, McArdle, Wendy L, Kaakinen, Marika, Kettunen, Johannes, Kleber, Marcus E, Li, Xiaohui, Luan, Jian'an, Lyytikäinen, Leo-Pekka, Magnusson, Patrik K E, Mangino, Massimo, Mihailov, Evelin, Montasser, May E, Menni, Cristina, Müller-Nurasyid, Martina, Nolte, Ilja M, O'Connell, Jeffrey R, Palmer, Cameron D, Perola, Markus, Petersen, Ann-Kristin, Sanna, Serena, Saxena, Richa, Service, Susan K, Shah, Sonia, Merger, Sigrun, Sidore, Carlo, Song, Ci, Strawbridge, Rona J, Surakka, Ida, Tanaka, Toshiko, Teslovich, Tanya M, Van den Herik, Evita G, Voight, Benjamin F, Volcik, Kelly A, Waite, Lindsay L, Wong, Andrew, Wu, Ying, Zhang, Weihua, Absher, Devin, Asiki, Gershim, Barroso, Inês, Been, Latonya F, Bolton, Jennifer L, Milani, Lili, Bonnycastle, Lori L, Brambilla, Paolo, Burnett, Mary S, Cesana, Giancarlo, Dimitriou, Maria, Doney, Alex S F, Döring, Angela, Elliott, Paul, Epstein, Stephen E, Eyjolfsson, Gudmundur Ingi, Mills, Rebecca, Gigante, Bruna, Goodarzi, Mark O, Grallert, Harald, Gravito, Martha L, Groves, Christopher J, Hartikainen, 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P., Esko, T., Fall, T., Chen, H., Robertson, N., Rybin, D., Chines, PS., Song, K., An, P., Marullo, L., Jansen, H., Oldehinkel, AJ., North, KE., Forouhi, NG., Edkins, S., Varga, TV., Oksa, H., Antonella, M., Kong, A., Herder, C., Antti, J., Miljkovic, I., Atalay, M., Kiess, W., James, AL., Smit, JH., Campbell, S., Fowkes, GR., Basart, HV., Rathmann, W., Maerz, W., Province, MA., Watanabe, RM., de Geus EJ., Penninx, BW., Oostra, B., Toenjes, A., Peyser, PA., Körner, A., Keinanen-Kiukaanniemi, SM., Saaristo, TE., Boomsma, D., Cucca, F., Balkau, B., Froguel, P., Jarvelin, MR., Bouatia-Naji, N., Ahmadi, KR., Ainali, C., Barrett, A., Bataille, V., Bell, JT., Buil, A., Dermitzakis, ET., Dimas, AS., Durbin, R., Glass, D., Hassanali, N., Hedman£££Åsa K£££ ÅK., Ingle, C., Keildson, S., Knowles, D., Krestyaninova, M., Lowe, CE., Meduri, E., di Meglio, P., Min, JL., Montgomery, SB., Nestle, FO., Nica, AC., Nisbet, J., O'Rahilly, S., Parts, L., Potter, S., Sekowska, M., Shin, SY., Small, KS., Surdulescu, G., Travers, ME., Tsaprouni, L., Tsoka, S., Wilk, A., Matise, T., Buyske, S., Higashio, J., Williams, R., Nato, A., Ambite, JL., Deelman, E., Manolio, T., Hindorff, L., Heiss, G., Taylor, K., Avery, C., Graff, M., Lin, D., Quibrera, M., Cochran, B., Kao, L., Umans, J., Cole, S., MacCluer, J., Person, S., Pankow, J., Gross, M., Fornage, M., Durda, P., Jenny, N., Patsy, B., Arnold, A., Buzkova, P., Crawford, D., Haines, J., Murdock, D., Glenn, K., Brown-Gentry, K., Thornton-Wells, T., Dumitrescu, L., Jeff, J., Bush, WS., Mitchell, SL., Goodloe, R., Wilson, S., Boston, J., Malinowski, J., Restrepo, N., Oetjens, M., Fowke, J., Zheng, W., Spencer, K., Ritchie, M., Pendergrass, S., Le Marchand£££Loïc£££ L., Wilkens, L., Park, L., Tiirikainen, M., Kolonel, L., Lim, U., Cheng, I., Wang, H., Shohet, R., Haiman, C., Stram, D., Henderson, B., Monroe, K., Schumacher, F., Peters, U., Anderson, G., Carlson, C., Prentice, R., LaCroix, A., Wu, C., Carty, C., Gong, J., Rosse, S., Young, A., Haessler, J., Kocarnik, J., Lin, Y., Jackson, R., Duggan, D., Kuller, L., Stolk, L., He, C., Sulem, P., Barbalic, M., Broer, L., Byrne, EM., Gudbjartsson, DF., McArdle, PF., Porcu, E., van Wingerden, S., Zhuang, W., Albrecht, E., Alizadeh, BZ., Lauc, LB., Broekmans, FJ., Burri, A., Chanock, SJ., Chen, C., Corre, T., Coviello, AD., d'Adamo, P., Davies, G., Deary, IJ., Ebrahim, S., Fauser, BC., Ferreli, L., Folsom, AR., Garcia, ME., Hall, P., Haller, T., Hankinson, SE., Hass, M., Heath, AC., Janssens, AC., Keyzer, J., Lahti, J., Lai, S., Laisk, T., Laven, JS., Liu, J., Lopez, LM., Louwers, YV., Marongiu, M., Klaric, IM., Masciullo, C., McKnight, B., Medland, SE., Melzer, D., Newman, AB., Paré, G., Peeters, PH., Plump, AS., Pop, VJ., Räikkönen, K., Salumets, A., Smith, JA., Stacey, SN., Starr, JM., Stathopoulou, MG., Tenesa, A., Thorand, B., Tryggvadottir, L., Tsui, K., van Dam RM., van Gils CH., van Nierop, P., Vink, JM., Voorhuis, M., Wallaschofski, H., Widen, E., Wijnands-van Gent CJ., Zgaga, L., Zygmunt, M., Arnold, AM., Buring, JE., Crisponi, L., Demerath, EW., Hunter, DJ., Schlessinger, D., Murray, A., Murabito, JM., Visser, JA., Lunetta, KL., Elks, CE., Cousminer, DL., Feenstra, B., Lin, P., van Wingerden SW., Smith, EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., Weedon, MN., Wichmann, H., Young, L., Zhuang, WV., Bierut, LJ., Boyd, HA., Department of Clinical Sciences, Lund University [Lund], Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Odontology, Umeå University, Signalisation et Transports Ioniques Membranaires (STIM), Université de Poitiers-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Department of Medical Sciences, Center for Biological Sequence Analysis [Lyngby], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Laboratory of Image Science and Technology [Nanjing] (LIST), Southeast University [Jiangsu]-School of Computer Science and Engineering, Limnology, Ecology, Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Institute of Medical Informatics, Biometry and Epidemiology, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Space Sciences Laboratory [Berkeley] (SSL), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Division of Statistical Genomics, Washington University School of Medicine, King‘s College London, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Geriatric Rehabilitation Unit, Azienda Sanitaria Firenze, Department of Pharmacy Sciences, Creighton University Medical Center, Medical Department III, Universität Leipzig, Foie, métabolismes et cancer, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Epidemiology, Erasmus Medical Centre, Netherlands Genomics Initiative (NGI), Netherlands Genomics Initiative, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Department of Public Health and Clinical Medicine, Medstar Research Institute, Genetics and Pathology, Finnish Institute of Occupational Health, Epidemiology, University Medical Centre Groningen, Departments of Microbiology & Molecular Genetics and Molecular Biology & Biochemistry, University of California [Irvine] (UC Irvine), Department of Odontology, Cariology, Institute of Human Genetics, Helmholtz Zentrum München = German Research Center for Environmental Health, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Division of Cardiology, Geneva University Hospital (HUG), Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Physics, Indian Institute of Technology Kanpur (IIT Kanpur), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Anaesthesia and Intensive care, Royal Aberdeen Childrens Hospital, UCL Institute of neurology, UCL Institute of Neurology, Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], 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= University of Helsinki, Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, Department of Pediatrics, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Institute of Public Health and Clinical Nutrition, University of Eastern Finland, MRC epidemiology Unit, Institute of Epidemiology, Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Institutes of Health [Bethesda] (NIH)-National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Department of Oncology, Queensland Brain Institute, University of Queensland [Brisbane], Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, 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(BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Landsteiner Laboratory, Clinical Haematology, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Lund University Diabetes Centre-Lund University [Lund], Université de Tours-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, Technical University of Denmark [Lyngby] (DTU), Université de Lausanne (UNIL), Universität Duisburg-Essen [Essen], Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), University of California [Berkeley], University of California-University of California, Génomique Intégrative et Modélisation des Maladies Métaboliques (EGID), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Universität Leipzig [Leipzig], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of California [Irvine] (UCI), German Research Center for Environmental Health, University of Bonn, Czech Academy of Sciences [Prague] (ASCR), Yale University School of Medicine, University of Oxford [Oxford], German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Laval University, Laval University [Québec], Turku University Hospital, Lausanne university hospital, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut de biologie de Lille - IBL (IBLI), Université de Lille, Sciences et Technologies-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), University of Helsinki-University of Helsinki, Helmholtz-Zentrum München (HZM), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Internal Medicine, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Medical Informatics, Obstetrics & Gynecology, Lund University [Lund]-Lund University Diabetes Centre, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institute of Medicine-University of Gothenburg (GU), Signalisation et Transports Ioniques Membranaires ( STIM ), Université de Poitiers-Centre National de la Recherche Scientifique ( CNRS ), Technical University of Denmark [Lyngby] ( DTU ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Department of Medical Epidemiology and Biostatistics ( MEB ), University of Lausanne, Centre d'Immunologie de Marseille - Luminy ( CIML ), Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Erasmus MC, Space Sciences Laboratory [Berkeley] ( SSL ), Génomique Intégrative et Modélisation des Maladies Métaboliques ( EGID ), Université de Lille-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Pasteur de Lille, Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Centre National de la Recherche Scientifique ( CNRS ) -Centre Hospitalier Régional Universitaire [Lille] ( CHRU Lille ), University of Leipzig, Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Institute of Epidemiology [Neuherberg] ( EPI ), University of California [Irvine] ( UCI ), Génétique des maladies multifactorielles ( GMM ), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Geneva University Hospital ( HUG ), Bonn Universität [Bonn], Indian Institute of Technology Kanpur ( IIT Kanpur ), The University of North Carolina at Chapel Hill, Université de Bonn, Wellcome Trust Sanger Institute, Harvard University School of Public Health, Czech Academy of Sciences [Prague] ( ASCR ), deCODE genetics, University of Groningen [Groningen]-University Medical Center Groningen-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Yale School of Medicine, National Heart and Lung Institute ( NHLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Lille, Droit et Santé, University Medical Center Groningen, University of Cambridge [UK] ( CAM ), Wellcome Trust Centre for Human Genetics, University of Pisa [Pisa], University of Cambridge [UK] ( CAM ) -Institute of Metabolic Science, German Research Center for Environmental Health-Helmholtz-Zentrum München ( HZM ), University of Otago, University of Greifswald, University College of London [London] ( UCL ), National Institute for Health and Welfare, Queen's University [Belfast] ( QUB ), University of Hawaii at Manoa ( UHM ), University of Gothenburg ( GU ) -Institute of Medicine, Recherches en Psychopathologie, nouveaux symptômes et lien social ( EA 4050 ), Université de Poitiers-Université de Brest ( UBO ) -Université Catholique de l'Ouest-Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ), Institut de biologie de Lille - IBL ( IBLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), University Medicine Greifswald,-HELIOS Hospital Stralsund, Finland Institute for Molecular Medicine ( FIMM ), Georgia Prevention Institute, Netherlands Consortium for Healthy Aging, Helmholtz-Zentrum München ( HZM ), National Institutes of Health ( NIH ) -National Cancer Institute ( NIH ), Massachusetts General Hospital, Children's Hospital, Boston, Broad Institute, Cambridge, MA, The University of North Carolina at Chapel Hill-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Shungin D, Winkler TW, Adipogen, Consortium, Cardiogramplusc4d, Consortium, Ckdgen, Consortium, Gefos, Consortium, Genie, Consortium, Glgc, Icbp, International, Endogene Consortium, Lifelines, Cohort Study, Magic, Investigator, Muther, Consortium, Consortium, Page, ReproGen Consortium, Amouyel P, D'Adamo, ADAMO PIO, Gasparini, Paolo, Shungin, Dmitry, Winkler, Thomas W, Croteau-Chonka, Damien C, Ferreira, Teresa, Hypponen, Elina, Mohlke, Karen L, ADIPOGEN Consortium, Int Endogene Consortium, Lee Kong Chian School of Medicine (LKCMedicine), Epidemiologie, RS: CARIM - R3.02 - Hypertension and target organ damage, Université de Tours-Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Shungin, D, Winkler, T, Croteau Chonka, D, Ferreira, T, Locke, A, Mägi, R, Strawbridge, R, Pers, T, Fischer, K, Justice, A, Workalemahu, T, Wu, J, Buchkovich, M, Heard Costa, N, Roman, T, Drong, A, Song, C, Gustafsson, S, Day, F, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, J, Scherag, A, Vedantam, S, Wood, A, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, C, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg Gresham, J, Buyske, S, Demirkan, A, Ehret, G, Feitosa, M, Goel, A, Jackson, A, Johnson, T, Kleber, M, Kristiansson, K, Mangino, M, Leach, I, Medina Gomez, C, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Stanca'Kova', A, Sung, Y, Tanaka, T, Teumer, A, Van Vliet Ostaptchouk, J, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, D, Caspersen, I, Clarke, R, Daw, E, Deelen, J, Deelman, E, Delgado, G, Doney, A, Eklund, N, Erdos, M, Estrada, K, Eury, E, Friedrich, N, Garcia, M, Giedraitis, V, Gigante, B, Go, A, Golay, A, Grallert, H, Grammer, T, Gräsler, J, Grewal, J, Groves, C, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heikkilä, K, Herzig, K, Helmer, Q, Hillege, H, Holmen, O, Hunt, S, Isaacs, A, Ittermann, T, James, A, Johansson, I, Juliusdottir, T, Kalafati, I, Kinnunen, L, Koenig, W, 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de Andrade, M, Turner, S, Ding, J, Andrews, J, Freedman, B, Döring, A, Kolcic, I, Zemunik, T, Boban, M, Minelli, C, Wheeler, H, Igl, W, Zaboli, G, Wild, S, Wright, A, Ellinghaus, D, Nöthlings, U, Jacobs, G, Biffar, R, Endlich, K, Ernst, F, Kroemer, H, Nauck, M, Stracke, S, Völzke, H, Aulchenko, Y, Polasek, O, Hastie, N, Vitart, V, Helmer, C, Wang, J, Ruggiero, D, Bergmann, S, Nikopensius, T, Province, M, Ketkar, S, Colhoun, H, Robino, A, Giulianini, F, Krämer, B, Portas, L, Ford, I, Buckley, B, Adam, M, Thun, G, Sala, C, Metzger, M, Mitchell, P, Ciullo, M, Kim, S, Gasparini, P, Pirastu, M, Jukema, J, Probst Hensch, N, Toniolo, D, Coresh, J, Schmidt, R, Kardia, S, Curhan, G, Gyllensten, U, Franke, A, Rettig, R, Parsa, A, Goessling, W, Kao, W, de Boer, I, Peralta, C, Akylbekova, E, Kramer, H, van der Harst, P, Arking, D, Franceschini, N, Hernandez, D, Townsend, R, Lumley, T, Kestenbaum, B, Haritunians, T, Waeber, G, Lu, X, Leak, T, Aasarød, K, Skorpen, F, Baumert, J, Devuyst, O, 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Zitting, P, Cooper, J, van Gilst, W, Janipalli, C, Mani, K, Yajnik, C, Mattace Raso, F, Lakatta, E, Orru, M, Scuteri, A, Ala Korpela, M, Kangas, A, Soininen, P, Tukiainen, T, Würtz, P, Ong, R, Galan, P, Hercberg, S, Lathrop, M, Zelenika, D, Zhai, G, Meschia, J, Sharma, P, Terzic, J, Kumar, M, Denniff, M, Zukowska Szczechowska, E, Wagenknecht, L, Fowkes, F, Charchar, F, Rotimi, C, Bots, M, Brand, E, Talmud, P, Nyberg, F, Laan, M, van der Schouw, Y, Casas, J, Vineis, P, Ganesh, S, Wong, T, Tai, E, Morris, R, Dominiczak, A, Marmot, M, Miki, T, Chandak, G, Zhu, X, Elosua, R, Soranzo, N, Sijbrands, E, Uda, M, Vasan, R, Anderson, C, Gordon, S, Guo, Q, Henders, A, Lambert, A, Kraft, P, Kennedy, S, Macgregor, S, Missmer, S, Painter, J, Roseman, F, Treloar, S, Wallace, L, Alizadeh, B, de Boer, R, Boezen, H, van der Klauw, M, Ormel, J, Postma, D, Rosmalen, J, Slaets, J, Lagou, V, Welch, R, Wheeler, E, Rehnberg, E, Lecoeur, C, Johnson, P, Hottenga, J, Salo, P, Bielak, L, Zhao, W, Horikoshi, M, Navarro, P, Chen, H, Rybin, D, Song, K, An, P, Marullo, L, Jansen, H, Edkins, S, Varga, T, Oksa, H, Antonella, M, Kong, A, Herder, C, Antti, J, Miljkovic, I, Atalay, M, Kiess, W, Smit, J, Campbell, S, Fowkes, G, Rathmann, W, Maerz, W, Watanabe, R, de Geus, E, Toenjes, A, Peyser, P, Körner, A, Cucca, F, Balkau, B, Bouatia Naji, N, Ahmadi, K, Ainali, C, Bataille, V, Bell, J, Buil, A, Dermitzakis, E, Dimas, A, Durbin, R, Glass, D, Hassanali, N, Hedman, Å, Ingle, C, Knowles, D, Krestyaninova, M, Lowe, C, Meduri, E, di Meglio, P, Montgomery, S, Nestle, F, Nica, A, Nisbet, J, O'Rahilly, S, Parts, L, Potter, S, Sekowska, M, Shin, S, Surdulescu, G, Travers, M, Tsaprouni, L, Tsoka, S, Wilk, A, Higashio, J, Williams, R, Nato, A, Ambite, J, Manolio, T, Hindorff, L, Heiss, G, Taylor, K, Avery, C, Graff, M, Lin, D, Quibrera, M, Cochran, B, Kao, L, Umans, J, Cole, S, Maccluer, J, Person, S, Gross, M, Fornage, M, Durda, P, Jenny, N, Patsy, B, Arnold, A, Buzkova, P, Haines, J, Murdock, D, Glenn, K, Brown Gentry, K, Thornton Wells, T, Dumitrescu, L, Jeff, J, Bush, W, Mitchell, S, Goodloe, R, Boston, J, Malinowski, J, Restrepo, N, Oetjens, M, Fowke, J, Zheng, W, Spencer, K, Pendergrass, S, Wilkens, L, Park, L, Tiirikainen, M, Kolonel, L, Lim, U, Cheng, I, Wang, H, Shohet, R, Stram, D, Henderson, B, Monroe, K, Schumacher, F, Anderson, G, Carlson, C, Prentice, R, Wu, C, Carty, C, Gong, J, Rosse, S, Young, A, Haessler, J, Kocarnik, J, Lin, Y, Kuller, L, He, C, Sulem, P, Barbalic, M, Broer, L, Byrne, E, Gudbjartsson, D, Mcardle, P, Porcu, E, van Wingerden, S, Zhuang, W, Lauc, L, Broekmans, F, Burri, A, Chanock, S, Chen, C, Corre, T, Coviello, A, D'Adamo, P, Davies, G, Deary, I, Ebrahim, S, Fauser, B, Ferreli, L, Folsom, A, Hall, P, Hankinson, S, Hass, M, Heath, A, Janssens, A, Keyzer, J, Lahti, J, Lai, S, Laisk, T, Laven, J, Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Medland, S, Melzer, D, Newman, A, Paré, G, Peeters, P, Pop, V, Räikkönen, K, Salumets, A, Smith, J, Stacey, S, Starr, J, Stathopoulou, M, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Wallaschofski, H, Widen, E, Wijnands van Gent, C, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Feenstra, B, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Easton, D, Foroud, T, Geller, F, Kilpeläinen, T, Li, S, Melbye, M, Murray, J, Murray, S, Ness, A, Northstone, K, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segrè, A, Sovio, U, Srinivasan, S, Tammesoo, M, Tyrer, J, Weedon, M, Young, L, Bierut, L, Boyd, H, Psychiatry, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes

Subjects
Adipose Tissue/metabolism, Male, genetic association, subcutaneous fat, Transcription, Genetic, Adipocytes, Adipogenesis, Adipose Tissue, Age Factors, Body Mass Index, Continental Population Groups, Epigenesis, Genetic, Europe, Female, Genome, Human, Humans, Insulin, Insulin Resistance, Models, Biological, Neovascularization, Physiologic, Obesity, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Sex Characteristics, Waist-Hip Ratio, Body Fat Distribution, Genome-Wide Association Study, Multidisciplinary, Insulin Resistance/genetics, Genome-wide association study, Continental Population Groups/genetics, genetic analysis, heritability, gene cluster, Science::Biological sciences::Human anatomy and physiology [DRNTU], 0302 clinical medicine, high density lipoprotein cholesterol, Models, genetics [Insulin Resistance], histone modification, Age Factor, insulin receptor, 0303 health sciences, Adipocyte, Human/genetics, CARDIOGRAMplusC4D Consortium, ADIPOGENIC DIFFERENTIATION, genetic correlation, body fat, Continental Population Group, priority journal, 5 trisphosphate 3 phosphatase, GEFOS Consortium, meta analysis (topic), Science & Technology - Other Topics, ddc:500, transcription regulation, Adipogenesis/genetics, Single Nucleotide/genetics, Human, medicine.medical_specialty, Waist, phosphatidylinositol 3, European, ta3111, genetic regulation, Article, developmental biology, 03 medical and health sciences, MAGIC Investigators, transcription initiation site, SDG 3 - Good Health and Well-being, Genetic, genomics, GLYCEMIC TRAITS, genetics [Continental Population Groups], Polymorphism, GENOME-WIDE ASSOCIATION, Physiologic, genetics [Adipogenesis], Adipocytes/metabolism, Europe/ethnology, Genome, Human/genetics, Insulin/metabolism, Neovascularization, Physiologic/genetics, Obesity/genetics, Polymorphism, Single Nucleotide/genetics, Quantitative Trait Loci/genetics, Transcription, Genetic/genetics, Genetic/genetics, Adipogenesi, Science & Technology, adiponectin, [ SDV ] Life Sciences [q-bio], vasculotropin, genetics [Quantitative Trait Loci], ta1184, Racial Groups, ta1182, gene mapping, ta3121, triacylglycerol blood level, medicine.disease, Biological, major clinical study, amino acid sequence, metabolism [Insulin], Endocrinology, metabolism [Adipocytes], genetic loci, insulin, body fat, GLGC, International Endogene Consortium, metabolism [Adipose Tissue], Body mass index, HUMAN HEIGHT, Epigenesis, LifeLines Cohort Study, ReproGen Consortium, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, tissue level, Physiologic/genetics, [SDV]Life Sciences [q-bio], Medizin, Adipose tissue, low density lipoprotein cholesterol, PAGE Consortium, COMMON SNPS, angiogenesis, Waist–hip ratio, genetics [Obesity], MESH: Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio, single nucleotide polymorphism, fat, genetic variability, molecular biology, body mass index (BMI), ethnology [Europe], peroxisome proliferator activated receptor, 2. Zero hunger, Genetics, Genome, Single Nucleotide, waist circumference, insulin, phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase, triacylglycerol, vasculotropin, developmental biology, gene expression, genome, numerical model, adipocyte, adipose tissue, body fat distribution, body mass, female, gene locus, gene structure, hip circumference, human, insulin resistance, lipoprotein blood level, male, obesity, protein protein interaction, sex difference, waist hip ratio, Multidisciplinary Sciences, genetics [Transcription, Genetic], genetics [Polymorphism, Single Nucleotide], ADIPOGen Consortium, genetics [Neovascularization, Physiologic], Transcription, SUSCEPTIBILITY LOCI, General Science & Technology, ICBP, 030209 endocrinology & metabolism, Biology, adipocyte, MESH : Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio, MESENCHYMAL STEM-CELLS, GENIE Consortium, SEXUAL-DIMORPHISM, Insulin resistance, Internal medicine, medicine, genetics [Genome, Human], ABDOMINAL ADIPOSITY, Neovascularization, 030304 developmental biology, FALSE DISCOVERY, CKDGen Consortium, Sex Characteristic, MuTHER Consortium, numerical model
Abstract

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P

Published
2015

46. Association of Type 2 Diabetes Susceptibility Variants With Advanced Prostate Cancer Risk in the Breast and Prostate Cancer Cohort Consortium.

Author

Machiela, Mitchell J., Lindström, Sara, Allen, Naomi E., Haiman, Christopher A., Albanes, Demetrius, Barricade, Aurelio, Berndt, Sonja I., Bueno-De-Mesquita, H. Bas, Chanock, Stephen, Gaziano, J. Michael, Gapstur, Susan M., Giovannucci, Edward, Henderson, Brian E., Jacobs, Eric J., Kolonel, Laurence N., Krogh, Vittorio, Jing Ma, Stampfer, Meir J., Stevens, Victoria L., and Stram, Daniel O.

Subjects
TYPE 2 diabetes risk factors, PROSTATE tumors, CONFIDENCE intervals, STATISTICAL correlation, DATABASES, DISEASE susceptibility, EPIDEMIOLOGY, GENETIC polymorphisms, MEDICAL information storage & retrieval systems, RESEARCH funding, GENETIC markers, LOGISTIC regression analysis, GENOMICS, DATA analysis, CONTROL groups, GENETICS
Abstract

Observational studies have found an inverse association between type 2 diabetes (T2D) and prostate cancer (PCa), and genome-wide association studies have found common variants near 3 loci associated with both diseases. The authors examined whether a genetic background that favors T2D is associated with risk of advanced PCa. Data from the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium, a genome-wide association study of 2,782 advanced PCa cases and 4,458 controls, were used to evaluate whether individual single nucleotide polymorphisms or aggregations of these 36 T2D susceptibility loci are associated with PCa. Ten T2D markers near 9 loci (NOTCH2, ADCY5, JAZF1, CDKN2A/B, TCF7L2, KCNQ1, MTNRIB, FTO, and HNFIB) were nominally associated with PCa (P< 0.05); the association for single nucleotide polymorphism rs757210 at the HNFIB locus was significant when multiple comparisons were accounted for (adjusted P= 0.001). Genetic risk scores weighted by the T2D log odds ratio and multilocus kernel tests also indicated a significant relation between T2D variants and PCa risk. A mediation analysis of 9,065 PCa cases and 9,526 controls failed to produce evidence that diabetes mediates the association of the HNF1B locus with PCa risk. These data suggest a shared genetic component between T2D and PCa and add to the evidence for an interrelation between these diseases. [ABSTRACT FROM AUTHOR]

Published
2012
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47. Genetic contributions to the association between adult height and testicular germ cell tumors.

Author

Cook, Michael B, Chia, Victoria M, Berndt, Sonja I, Graubard, Barry I, Chanock, Stephen J, Rubertone, Mark V, Erickson, Ralph L, Hayes, Richard B, and McGlynn, Katherine A

Subjects
GERM cell tumors, TESTIS tumors, STATURE, GENETIC polymorphisms, EPIDEMIOLOGY, CASE-control method, MOLECULAR chaperones, COMPARATIVE studies, CONFIDENCE intervals, DISEASE susceptibility, RESEARCH methodology, MEDICAL cooperation, MULTIVARIATE analysis, RESEARCH, RESEARCH funding, RISK assessment, MILITARY personnel, LOGISTIC regression analysis, EVALUATION research, DISEASE prevalence, ODDS ratio, GENOTYPES
Abstract

Background: Previously, we have shown that increasing adult height is associated with increased risk of testicular germ-cell tumor (TGCT). Recently, a number of single nucleotide polymorphisms (SNPs) have been found to be related to height. We examined whether these SNPs were associated with TGCT and whether they explained the relationship between height and TGCT.Methods: We genotyped 15 height-related SNPs in the US Servicemen's Testicular Tumor Environmental and Endocrine Determinants (STEED) case-control study. DNA was extracted from buccal cell samples and Taqman assays were used to type the selected SNPs. We used logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (95%CIs).Results: There were 561 cases and 676 controls for analysis. Two SNPs were found to be associated with risk of TGCT, rs6060373 (CC vs TT, OR = 1.51, 95% CI: 1.06-2.15) and rs143384 (CC vs TT, OR = 1.53, 95% CI: 1.09-2.15). rs6060373 is an intronic polymorphism of ubiquinol-cytochrome c reductase complex chaperone (UQCC), and rs143384 is a 5'UTR polymorphism of growth differentiation factor 5 (GDF5). No individual SNP attenuated the association between height and TGCT. Adjustment for all SNPs previously associated with adult height reduced the associations between adult height and TGCT by ~8.5%, although the P-value indicated only weak evidence that this difference was important (P = 0.26).Conclusions: This novel analysis provides tentative evidence that SNPs which are associated with adult height may also share an association with risk of TGCT. [ABSTRACT FROM AUTHOR]

Published
2011
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48. A Systematic Review of Vitamin D Receptor Gene Polymorphisms and Prostate Cancer Risk.

Author

Berndt, Sonja I., Dodson, Jennifer L., Huang, Wen-Yi, and Nicodemus, Kristin K.

Subjects
PROSTATE cancer, GENETIC polymorphisms, STEROID hormones, MALE reproductive organs
Abstract

Purpose: Polymorphisms in the vitamin D receptor gene have been hypothesized to alter the risk of prostate cancer. However, studies investigating the associations between specific vitamin D receptor polymorphisms and prostate cancer risk have yielded inconsistent results. Materials and Methods: We performed a meta-analysis of 26 studies evaluating the association between vitamin D receptor TaqI, poly(A), BsmI, ApaI, and/or FokI polymorphisms, and prostate cancer risk. Results: The studies were heterogeneous in terms of study design, selection of cases and controls, and racial composition. Random effects models were used to estimate the pooled OR and 95% CI of each vitamin D receptor polymorphism under codominant, additive, dominant and recessive genetic models. Overall we did not find evidence to support an association between any of the vitamin D receptor polymorphisms and the risk of prostate cancer. For TaqI, which is the most studied vitamin D receptor polymorphism with 18 studies (total of 2,727 cases and 3,685 controls), the pooled OR was 1.00 (95% CI 0.85 to 1.18) for the Tt vs TT genotypes, 0.94 (95% CI 0.78 to 1.13) for the tt vs TT genotypes and 0.89 (95% CI 0.71 to 1.10) for the recessive model (tt vs Tt plus TT). ORs for the poly(A) microsatellite, BsmI, ApaI and FokI polymorphisms were similar. Conclusions: The results of this meta-analysis suggest that the vitamin D receptor TaqI, poly(A), BsmI, ApaI and FokI polymorphisms are not related to prostate cancer risk. [Copyright &y& Elsevier]

Published
2006
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49. Population genetic differentiation of height and body mass index across Europe

Author

Joel N. Hirschhorn, Elizabeth K. Speliotes, Michael E. Goddard, Anne E. Justice, Sonja I. Berndt, Peter M. Visscher, Leonard H. van den Berg, Erik Ingelsson, Sailaja Vedantam, Jan H. Veldink, Kari E. North, Matthew R. Robinson, Dorret I. Boomsma, Ruth J. F. Loos, Konstantin Shakhbazov, Gibran Hemani, Carolina Medina-Gomez, Andrew R. Wood, Joseph E. Powell, Massimo Mezzavilla, Jouke-Jan Hottenga, Gonçalo R. Abecasis, Tõnu Esko, Paolo Gasparini, Adam E. Locke, Tim D. Spector, Nancy L. Pedersen, Stefan Gustafsson, Jian Yang, Eco J. C. de Geus, Timothy M. Frayling, Grant W. Montgomery, Nicholas G. Martin, Thomas Werge, Tune H. Pers, Fernando Rivadeneira, Anna A. E. Vinkhuyzen, Andres Metspalu, Wouter van Rheenen, Patrik K. E. Magnusson, Bratati Kahali, Ole A. Andreassen, Daniel I. Chasman, Robinson, Matthew R, Hemani, Gibran, Medina Gomez, Carolina, Mezzavilla, Massimo, Esko, Tonu, Shakhbazov, Konstantin, Powell, Joseph E., Vinkhuyzen, Anna, Berndt, Sonja I., Gustafsson, Stefan, Justice, Anne E., Kahali, Bratati, Locke, Adam E., Pers, Tune H., Vedantam, Sailaja, Wood, Andrew R., Van Rheenen, Wouter, Andreassen, Ole A., Gasparini, Paolo, Metspalu, Andre, Van Den Berg, Leonard H., Veldink, Jan H., Rivadeneira, Fernando, Werge, Thomas M., Abecasis, Goncalo R., Boomsma, Dorret I., Chasman, Daniel I., De Geus, Eco J. C., Frayling, Timothy M., Hirschhorn, Joel N., Hottenga, Jouke Jan, Ingelsson, Erik, Loos, Ruth J. F., Magnusson, Patrik K. E., Martin, Nicholas G., Montgomery, Grant W., North, Kari E., Pedersen, Nancy L., Spector, Timothy D., Speliotes, Elizabeth K., Goddard, Michael E., Yang, Jian, Visscher, Peter M., Internal Medicine, Epidemiology, Biological Psychology, Functional Genomics, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, and EMGO+ - Lifestyle, Overweight and Diabetes

Subjects
Netherlands Twin Register (NTR), Population genetics, Genome-wide association study, Body Mass Index, 0302 clinical medicine, Models, Principal Component Analysi, Gene–environment interaction, 2. Zero hunger, Genetics, 0303 health sciences, education.field_of_study, Principal Component Analysis, Geography, Algorithms, Body Height, Europe, Gene Expression Profiling, Gene-Environment Interaction, Genetics, Population, Genome-Wide Association Study, Genotype, Humans, Models, Genetic, Phenotype, Polymorphism, Single Nucleotide, Genetic Variation, Single Nucleotide, Algorithm, Medical Genetics, Human, Population, Biology, Genetic correlation, Article, 03 medical and health sciences, Genetic, Genetic variation, Polymorphism, education, 030304 developmental biology, Medicinsk genetik, Genetic divergence, Body mass index, 030217 neurology & neurosurgery, Demography
Abstract

Across-nation differences in the mean of complex traits such as obesity and stature are common1–8, but the reasons for these differences are not known. Here, we find evidence that many independent loci of small effect combine to create population genetic differences in height and body mass index (BMI) in a sample of 9,416 individuals across 14 European countries. Using discovery data on over 250,000 individuals and unbiased estimates of effect sizes from 17,500 sib pairs, we estimate that 24% (95% CI: 9%, 41%) and 8% (95% CI: 4%, 16%) of the captured additive genetic variance for height and BMI across Europe are attributed to among-population genetic differences. Population genetic divergence differed significantly from that expected under a null model (P

Published
2015

50. Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

Author

Zhaoming Wang, André Scherag, James F. Wilson, Nancy L. Heard-Costa, Ingrid B. Borecki, Sang Hong Lee, Veronique Vitart, Zoltán Kutalik, Jeffrey R. O'Connell, Mieke D. Trip, Lu Qi, Peter Vollenweider, Jennifer L. Bragg-Gresham, Davide Gentilini, Kees Hovingh, Lynda M. Rose, Carolin Pütter, Martin Farrall, Albert V. Smith, Nicholas G. Martin, Tõnu Esko, David J. Hunter, Georg Homuth, Liming Liang, Yudi Pawitan, Winfried März, George Dedoussis, Irene Mateo Leach, Nicholas J. Wareham, Lars Lind, Thomas Illig, Andrew P. Morris, Daniele Cusi, Jouke-Jan Hottenga, Tove Fall, Themistocles L. Assimes, Massimo Mangino, Dmitry Shungin, Kari Stefansson, Anne U. Jackson, Inês Barroso, Sarah E. Medland, Lude Franke, Karen L. Mohlke, Folkert W. Asselbergs, Sarah E. Hunt, Gudmar Thorleifsson, Pablo V. Gejman, Serena Sanna, Mark I. McCarthy, David M. Evans, Joel N. Hirschhorn, Alan F. Wright, Sarah H. Wild, Patricia B. Munroe, Marcel Bruinenberg, Gonneke Willemsen, Ulf de Faire, Markku Laakso, Marja-Liisa Lokki, Andrew C. Heath, Jing Hua Zhao, Lavinia Paternoster, Jana V. van Vliet-Ostaptchouk, Sailaja Vedantam, Danyu Lin, Eric E. Schadt, Stefano Signorini, Harald Grallert, Tsegaselassie Workalemahu, Jonathan Tyrer, Albert Hofman, George Nicholson, Patrik K. E. Magnusson, Arthur W. Musk, Jian Yang, Vilmundur Gudnason, Robert C. Kaplan, Panos Deloukas, Nilesh J. Samani, Inke R. König, Frank B. Hu, Paul M. Ridker, Tamara B. Harris, Bruce H. R. Wolffenbuttel, Ellen A. Nohr, Sarah Edkins, Lambertus A. Kiemeney, Anke Hinney, Eric Boerwinkle, Klaus Stark, Ben A. Oostra, Barbara Thorand, Unnur Thorsteinsdottir, Meena Kumari, Evelin Mihailov, Caroline S. Fox, Michael Boehnke, Aroon D. Hingorani, Jonathan Stephens, Kathleen Stirrups, Inga Prokopenko, Anke Tönjes, Lili Milani, John Beilby, Carlos Iribarren, Kari E. North, Cécile Lecoeur, So-Youn Shin, Marjo-Riitta Järvelin, Matti Uusitupa, Åsa Johansson, Nancy L. Pedersen, Krista Fischer, Fernando Rivadeneira, Wolfgang Koenig, Fredrik Karpe, Antti Jula, Lindsay L. Waite, Gérard Waeber, Mustafa Atalay, Heribert Schunkert, Narisu Narisu, Sita H. Vermeulen, Bernhard R. Winkelmann, Guo Li, Anders Hamsten, Elizabeth K. Speliotes, Ivonne Jarick, Sirkka Keinänen-Kiukaanniemi, L. Adrienne Cupples, Ruth J. F. Loos, Martina Müller-Nurasyid, David-Alexandre Trégouët, Claudia Langenberg, Willem H. Ouwehand, Julius S. Ngwa, Jennifer E. Huffman, H-Erich Wichmann, Amy J. Swift, Marco M Ferrario, Leif Groop, Henrik Grönberg, Peter M. Visscher, Claes Ohlsson, Markku S. Nieminen, Aparna Radhakrishnan, Harold Snieder, Devin Absher, Albertine J. Oldehinkel, Erik Ingelsson, Anna Maria Di Blasio, M. Carola Zillikens, Veikko Salomaa, Colin N. A. Palmer, Lori L. Bonnycastle, Teresa Ferreira, Ronald P. Stolk, Annette Peters, Philippe Froguel, Michael Stumvoll, David Schlessinger, Maria Dimitriou, Timo Saaristo, Cristen J. Willer, Jarmo Virtamo, Jorma Viikari, Alena Stančáková, Mika Kivimäki, Paolo Brambilla, Jaakko Tuomilehto, Dorret I. Boomsma, Harry Campbell, Jianjun Liu, Daniel I. Chasman, Gonçalo R. Abecasis, Ilja M. Nolte, Karl-Heinz Jöckel, Reedik Mägi, Pamela A. F. Madden, Jaana Laitinen, Sonja I. Berndt, Frank Kee, Marcus E. Kleber, Jacqueline C.M. Witteman, Jouko Saramies, Francis S. Collins, Johan G. Eriksson, Melanie M. van der Klauw, Yi-Juan Hu, John F. Peden, Markus Perola, Henri Wallaschofski, Jean Ferrières, Elena Tremoli, Marjolein J. Peters, Olli T. Raitakari, Claudia Lamina, Sekar Kathiresan, Mary F. Feitosa, Diana Kuh, Tim D. Spector, Paul W. Franks, Gerjan Navis, Martin den Heijer, Christian Gieger, Kevin B. Jacobs, Andrea Ganna, Timothy M. Frayling, Iris M. Heid, Bernhard O. Boehm, Eleanor Wheeler, Sonali Pechlivanis, Miriam F. Moffatt, Brenda W.J.H. Penninx, Anna-Liisa Hartikainen, Augusto Rendon, Stefan Schreiber, Stephen J. Chanock, Andrew R. Wood, Jianxin Shi, Najaf Amin, Lenore J. Launer, Michael A. Province, Jeanette Erdmann, Mattias Lorentzon, Hugh Watkins, Johanna Kuusisto, John-Olov Jansson, David P. Strachan, Anne E. Justice, Toby Johnson, Cornelia M. van Duijn, Niina Eklund, Samuli Ripatti, Aarno Palotie, Aldi T. Kraja, Michael Preuss, Rona J. Strawbridge, Ozren Polasek, Elisabeth Widen, Barbara McKnight, Mariano Dei, Vincent Mooser, Josine L. Min, Caroline Hayward, Mika Kähönen, Peter P. Pramstaller, Femmie de Vegt, Rainer Rauramaa, Douglas F. Levinson, Diana Marek, Antonio Liuzzi, Stefan Gustafsson, Andrew A. Hicks, Gemma Cadby, Damien C. Croteau-Chonka, Mark J. Caulfield, Boris Skrobek, Lyle J. Palmer, Alexander Teumer, Ken K. Ong, Ulf Gyllensten, Anneli Pouta, Anuj Goel, Eva Albrecht, Kristian Hveem, Inger Njølstad, David Meyre, Ida Surakka, Francesca Frau, Paolo Manunta, Sabine Schipf, Carolina Medina-Gomez, Kay-Tee Khaw, Alan R. Sanders, Thorkild I. A. Sørensen, André G. Uitterlinden, Alistair S. Hall, Felix R. Day, Karol Estrada, Jennifer G. Sambrook, Eirini V. Theodoraki, Valgerdur Steinthorsdottir, Cecilia M. Lindgren, Talin Haritunian, Benjamin M. Neale, Juha Sinisalo, Kati Kristiansson, Thomas W. Winkler, Pim van der Harst, Peter S. Chines, Joyce B. J. van Meurs, Wendy L. McArdle, Andrew Wong, Grant W. Montgomery, Terho Lehtimäki, Igor Rudan, Keri L. Monda, John M. C. Connell, Jian'an Luan, Per Hall, Joshua C. Randall, Anthony J. Balmforth, Chris Power, Philippe Amouyel, Andres Metspalu, Johannes Hebebrand, Andrew D. Morris, Jaana Lindström, Liesbeth Vandenput, William O.C.M. Cookson, Hanneke Basart, Stavroula Kanoni, Elina Hyppönen, Christian Hengstenberg, Thomas W. Mühleisen, Kari Kuulasmaa, Timo A. Lakka, Nicole Soranzo, Bruce M. Psaty, Antony P. Attwood, Epidemiology, Clinical Genetics, Surgery, Erasmus School of Social and Behavioural Sciences, Public Health, Internal Medicine, Immunology, Child and Adolescent Psychiatry / Psychology, Internal medicine, Psychiatry, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Lifestyle, overweight and diabetes, ACS - Amsterdam Cardiovascular Sciences, Cardiology, Other departments, Vascular Medicine, Biological Psychology, Cognitive Psychology, AIMMS, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Berndt, S, Gustafsson, S, Mägi, R, Ganna, A, Wheeler, E, Feitosa, M, Justice, A, Monda, K, Croteau Chonka, D, Day, F, Esko, T, Fall, T, Ferreira, T, Gentilini, D, Jackson, A, Luan, J, Randall, J, Vedantam, S, Willer, C, Winkler, T, Wood, A, Workalemahu, T, Hu, Y, Lee, S, Liang, L, Lin, D, Min, J, Neale, B, Thorleifsson, G, Yang, J, Albrecht, E, Amin, N, Bragg Gresham, J, Cadby, G, den Heijer, M, Eklund, N, Fischer, K, Goel, A, Hottenga, J, Huffman, J, Jarick, I, Johansson, Å, Johnson, T, Kanoni, S, Kleber, M, König, I, Kristiansson, K, Kutalik, Z, Lamina, C, Lecoeur, C, Li, G, Mangino, M, Mcardle, W, Medina Gomez, C, Müller Nurasyid, M, Ngwa, J, Nolte, I, Paternoster, L, Pechlivanis, S, Perola, M, Peters, M, Preuss, M, Rose, L, Shi, J, Shungin, D, Smith, A, Strawbridge, R, Surakka, I, Teumer, A, Trip, M, Tyrer, J, Van Vliet Ostaptchouk, J, Vandenput, L, Waite, L, Zhao, J, Absher, D, Asselbergs, F, Atalay, M, Attwood, A, Balmforth, A, Basart, H, Beilby, J, Bonnycastle, L, Brambilla, P, Bruinenberg, M, Campbell, H, Chasman, D, Chines, P, Collins, F, Connell, J, Cookson, W, De, F, U, D, Vegt, F, Dei, M, Dimitriou, M, Edkins, S, Estrada, K, Evans, D, Farrall, M, Ferrario, M, Ferrières, J, Franke, L, Frau, F, Gejman, P, Grallert, H, Grönberg, H, Gudnason, V, Hall, A, Hall, P, Hartikainen, A, Hayward, C, Heard Costa, N, Heath, A, Hebebrand, J, Homuth, G, Hu, F, Hunt, S, Hyppönen, E, Iribarren, C, Jacobs, K, Jansson, J, Jula, A, Kähönen, M, Kathiresan, S, Kee, F, Khaw, K, Kivimäki, M, Koenig, W, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Laitinen, J, Lakka, T, Langenberg, C, Launer, L, Lind, L, Lindström, J, Liu, J, Liuzzi, A, Lokki, M, Lorentzon, M, Madden, P, Magnusson, P, Manunta, P, Marek, D, März, W, Mateo Leach, I, Mcknight, B, Medland, S, Mihailov, E, Milani, L, Montgomery, G, Mooser, V, Mühleisen, T, Munroe, P, Musk, A, Narisu, N, Navis, G, Nicholson, G, Nohr, E, Ong, K, Oostra, B, Palmer, C, Palotie, A, Peden, J, Pedersen, N, Peters, A, Polasek, O, Pouta, A, Pramstaller, P, Prokopenko, I, Pütter, C, Radhakrishnan, A, Raitakari, O, Rendon, A, Rivadeneira, F, Rudan, I, Saaristo, T, Sambrook, J, Sanders, A, Sanna, S, Saramies, J, Schipf, S, Schreiber, S, Schunkert, H, Shin, S, Signorini, S, Sinisalo, J, Skrobek, B, Soranzo, N, Stančáková, A, Stark, K, Stephens, J, Stirrups, K, Stolk, R, Stumvoll, M, Swift, A, Theodoraki, E, Thorand, B, Tregouet, D, Tremoli, E, Van der Klauw, M, van Meurs, J, Vermeulen, S, Viikari, J, Virtamo, J, Vitart, V, Waeber, G, Wang, Z, Widén, E, Wild, S, Willemsen, G, Winkelmann, B, Witteman, J, Wolffenbuttel, B, Wong, A, Wright, A, Zillikens, M, Amouyel, P, Boehm, B, Boerwinkle, E, Boomsma, D, Caulfield, M, Chanock, S, Cupples, L, Cusi, D, Dedoussis, G, Erdmann, J, Eriksson, J, Franks, P, Froguel, P, Gieger, C, Gyllensten, U, Hamsten, A, Harris, T, Hengstenberg, C, Hicks, A, Hingorani, A, Hinney, A, Hofman, A, Hovingh, K, Hveem, K, Illig, T, Jarvelin, M, Jöckel, K, Keinanen Kiukaanniemi, S, Kiemeney, L, Kuh, D, Laakso, M, Lehtimäki, T, Levinson, D, Martin, N, Metspalu, A, Morris, A, Nieminen, M, Njølstad, I, Ohlsson, C, Oldehinkel, A, Ouwehand, W, Palmer, L, Penninx, B, Power, C, Province, M, Psaty, B, Qi, L, Rauramaa, R, Ridker, P, Ripatti, S, Salomaa, V, Samani, N, Snieder, H, Sørensen, T, Spector, T, Stefansson, K, Tönjes, A, 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Subjects
Netherlands Twin Register (NTR), Linkage disequilibrium, SORTILIN, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, Medizin, Genome-wide association study, Aetiology, screening and detection [ONCOL 5], polymorphism, Body Mass Index, 0302 clinical medicine, Missing heritability problem, MISSING HERITABILITY, EXTREME OBESITY, CONFER RISK, POPULATION, Genetics & Heredity, 2. Zero hunger, Genetics, Medical And Health Sciences, 0303 health sciences, education.field_of_study, Anthropometry, COMMON VARIANTS, Single Nucleotide, ASSOCIATION, Biological Sciences, Anthropometry, Body Height, genetics, Body Mass Index, Case-Control Studies, European Continental Ancestry Group, genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Meta-Analysis as Topic, Obesity, genetics, Phenotype, Polymorphism, genetics, Quantitative Trait Loci, Waist-Hip Ratio, Phenotype, Life Sciences & Biomedicine, EXPRESSION, Genotype, Missing heritabillity, Population, European Continental Ancestry Group, Quantitative Trait Loci, EARLY-ONSET, Genomics, Biology, Quantitative trait locus, Polymorphism, Single Nucleotide, Article, White People, Molecular epidemiology [NCEBP 1], 03 medical and health sciences, Meta-Analysis as Topic, SDG 3 - Good Health and Well-being, Humans, Genetic Predisposition to Disease, Obesity, body height/genetics, Polymorphism, Allele, Genetik, education, Molecular epidemiology Aetiology, screening and detection [NCEBP 1], 030304 developmental biology, Science & Technology, Waist-Hip Ratio, BMI, height, WHR, obesity, GWS, ta3121, Genetic architecture, Body Height, BODY-MASS INDEX, Case-Control Studies, gene, stature, height, 030217 neurology & neurosurgery, Developmental Biology, Genome-Wide Association Study
Abstract

Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups. © 2013 Nature America, Inc. All rights reserved.

Published
2013

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