Human longevity: latest insights. Dr Christoph Nabholz, Head R&D Life & Health, NGIC June 2017

Size: px
Start display at page:

Download "Human longevity: latest insights. Dr Christoph Nabholz, Head R&D Life & Health, NGIC June 2017"

Transcription

1 Human longevity: latest insights Dr Christoph Nabholz, Head R&D Life & Health, NGIC June 2017

2 Age adjusted deaths rates and life expectancy developments in the US Source: 2

3 To further improve life expectancy mortality, improvements have to come from age associated chronic diseases Hygiene Food 100 Antibiotics Sanitation Statins Smoker campaigns Delay of old age mortality over 80 years years years years 0-14 years Infant mortality reduction Source: Christensen et al.; Lancet 2009; 374: Age-specific contributions to life expectancy in women from 1850 to

4 Life expectancy rates are a result of dynamic changes in disease management Source: 4

5 Mortality rates per 100,000 (age adjusted) In the US, CVD and cancer mortality have improved, while diabetes and COPD have increased over the last decades General population statistics Source: Global Burden of Disease % change Heart diseases Cancer Stroke COPD Transport injuries Diabetes COPD Chronic Obstructive Pulmonary Disease

6 For the first time in more than two decades, life expectancy in the US declined Life expectancy fell by 0.1 year in 2015 The overall death rate rose 1.2% in 2015, its first uptick since 1999 Life expectancy last fell during the peak of the HIV/Aids crisis in 1993 Possible drivers: obesity levels, ageing population, economic struggles and drug misuse Mortality rates for people in their 30s, 40s and 50s, are flat or increasing Source: NCHS Data Brief No. 267, Dec

7 US death rates rose for eight of the top 10 leading causes of death in 2015 Heart disease increased (+0.9%) Ramifications of obesity? Death rate from cancer declined (-1.7%) fewer people are smoking, early detection, new treatments Largest rate jump - Alzheimer s (+15.7%) Unintentional injuries (+6.7%) Overdoses from drugs, alcohol and other chemicals Motor vehicle crashes and other accidents Stroke (+3%), Diabetes (+1.9%), Kidney disease (+1.5%), Suicide (+2.3%) Source: NCHS Data Brief No. 267, Dec

8 Mortality in England and Wales was reversed in 2011 with 2015 being one of the largest increases in deaths in the post-war period Age-standardised death rate per 100,000 England and Wales, Percentage increase in death rates at individual years; 2014 to 2015 in England and Wales Dementia was the major contributor, based on reported causes of death Excess deaths are in the older population, who are most dependent on health and social care Source: Hiam et al

9 % total death High-Income Countries, Global mortality projection 2030 shows differential outcomes by disease Rank Cause Ischaemic heart disease Stroke Alzheimer's disease and other dementias Trachea, bronchus, lung cancers Lower respiratory infections Chronic obstructive pulmonary disease Colon and rectum cancers Diabetes mellitus Hypertensive heart disease Kidney diseases Pancreas cancer Breast cancer Prostate cancer Stomach cancer Lymphomas, multiple myeloma Self-harm Liver cancer Cirrhosis of the liver Falls Endocrine, blood, immune disorders % deaths Deaths per 100, % deaths Deaths per 100, Source: WHO Global Health Estimates 9

10 International life expectancy projected for males at age Source: Canada Pension Plan Projection; Ménard,

11 Where will future improvements come from? 11

12 Bio-medical technology and behavioural change are believed to be the major forces shaping future mortality 8% Bio-medical technology 9% 29% Behavioral changes Health care systems 9% New/resurgent diseases Population composition Environmental changes 17% 28% Source: National Population Projections Expert Advisory Group

13 Top 10 risk factors that account for mortality in the USA in 2015 Diabetes CVD Cancer Source: Institute for Health Metrics and Evaluation (IHME). GBD Compare. Seattle, WA: IHME, University of Washington, Available from Accessed 22 March

14 14

15 Interventions that slow ageing will have a greater effect on quality of life compared to disease specific approaches Disease specific approach allows to live longer but suffering from multiple diseases or disabilities This increases the need for care of elderly patients living in reduced quality of life Biology of ageing aims at enhancing healthy longevity; addresses the longevity dividend Ageing diseases: Heart disease, diabetes, cancer, dementia Key criteria: Ease of implementation What is missing? Lack of biomarkers: required true ageing biomarkers (epigenetic, metabolomic etc) Missing FDA approval: may yet not be possible to receive approval for ageing intervention TAME trials: Targeting Ageing with Metformin; expected delay in order of 15-30%; first possible case for FDA approval Open question: will future centenarians have fulfilling lives with sudden collapse or suffer from multiple chronic diseases Effective when started in mid-life Benefits outweigh the risk 15

16 Ageing interventions aim at enhancing healthy longevity Promising ageing interventions: Dietary restriction: while not universally applicable to lab models, it shows significant increases in life span Exercise: proven enhanced health span but poor compliance in elderly patients mtor inhibitors: rapamycin expands life span in mice; reverses cardiac decline and improves immune function (rejuvenate immune stem cells) Metformin and acarbose: antidiabetic drugs that expand life span Insulin response; Diabetes; Cardiac health; Immune response Modifiers of senescence: telomere dysfunction leads to senescence Hormonal and circulating factors: sex-steroids, growth hormone, insulin-like growth factor; blood donation from young adults increases life span in mice; Alzheimer tests with plasma ongoing NAD precursors and sirtuin activators: improve health span; muscle ageing and cognitive decline Mitochondria therapeutics: free radical theory; augmented mitochondrial function (energy, biogenesis, antioxidants, NAD precursor) Programmed cell death; Hormone lifecycle; Mitochondrial function; Cognitive health 16

17 Top bio-medical advances that reduce mortality are addressing disease monitoring, diagnostics and medical interventions Therapy Technology innovation Heart disease management improves Minimally invasive and robotic surgery Combination drug therapy extends HIV survival CT, MRI and functional MRI scanning Hepatitis C cure comes to market Targeted cancer immuno therapy matures ehealth and telemedicine Mobile biovital sign monitoring Genetic medicine 17

18 Clinical trial landscape for cancer, CVD and Alzheimer s PHASE PHASE 1 40 PHASE 2 AD Source: CVD 615 PHASE PHASE 4 Cancer 18

19 Disruptive technologies with potential high impact to health outcomes The Internet of Things Next-generation genomics Health and chronic disease monitoring Advanced robotics Robotic surgery and prosthetics Near-autonomous vehicles Reduction in car accidents Source: McKinsey Global Institute 2013 Predictive health analytics 3D printing Organ bioprinting Advanced materials Nanodrugs 19

20 Genetic Medicine Next-generation genomics 20

21 Rapid evolution of genetic testing technologies observed since the human genome sequence in 2003 Whole Exome Sequencing Single Gene Testing Whole Genome Sequencing Gene Panels

22 Full genome sequencing has becomes affordable $100'000'000 Sequencing costs per genome $10'000'000 $1M genome 2008 $1'000'000 $100'000 $10K genome 2011 $10'000 $1'000 $100 genome? $100 Sanger sequencing Source: NIH National Human Genome Research Institute Next generation sequencing Emerging sequencing technologies 22

23 Over the last two decades many cancer genes have been identified with various relative cancer risks in different cancer sites Cancer site Relative Risk 5.0 Family studies Relative Risk 1.5 and >5.0 Resequencing Relative Risk 1.01and >1.5 Genome-wide association studies Lung RB1, TP53 Breast BRCA1, BRCA2, TP53, PTEN, SK11, CDH1 CHEK2, ATM, PALB2, BRIP1 CASP8, FGFR2, MAP3K1, 8q24, 5p, TOX3, 2q, 6q22, LSP1 Colon and rectum APC, MLH1, MSH2, MSH6, PMS2 APC (I1307K), BLM MUTYH, CASP8, 8q24, 8q23 (EIF3H), 10p14, 11q23, CRAC1, SMAD7 Prostate BRCA2 8q24 rs , rs721048, NBS1, EHBP1, TCF2, CTBP2, JAZF1, MSMB, LMTK2, KLK3, SLC22A3 Pancreas BRCA2, CDKN2A, STK11, TP53, PRSS1, SPINK1 BRCA1, MSH2, MLH1 rs , rs (CHRNA3, CHRNB4, CHRNA5) Source: Foulkes W; N Engl J Med; 2008;359:

24 Liquid Biopsy - a new cancer blood test 24

25 How is cancer diagnosed today? Most cancers are detected during Routine screening examination, physical examination or an investigation prompted by symptoms Imaging tests (X-rays, MRI, CT) help determine a cancer's location To confirm the diagnosis of most solid cancers, a biopsy is performed A biopsy is the removal of tissue (needle, endoscope or surgery) from a suspected tumour to study under a microscope to check for cancer cells (histopathology) Results of the histopathology, together with physical examination and imaging tests, form the basis of cancer staging and grading 25

26 Liquid Biopsy a new molecular cancer blood test to screen for acquired mutations in cancer driver genes Liquid biopsy is the term used to describe a molecular test done on a sample of blood (or other bodily fluids such as plasma, cerebrospinal fluid, or urine) to look for tumour material circulating in the blood such as: circulating tumour cells (CTCs) cell free DNA (cfdna) exosomes Source: 26

27 Very low abundance of CTCs and cfdna in blood sample 10 ml Whole Blood 50 billion RBCs 50 million WBCs CTCs tcfdna 0-1 cfdna

28 Note! A positive liquid biopsy test does not confirm the presence of cancer! (nor does a negative liquid biopsy exclude the presence of cancer) 28

29 Conclusion 29

30 Summary Cardiovascular disease, cancer and Alzheimer s disease are the key drivers of mortality Managing health risk factors will be key to extend life expectancy Biomedical technology and behavioural changes are believed to be the major forces shaping future mortality The next generation genomics is a disruptive force to our current health management systems Genetic technology is a key enabler of personalized medicine approaches Liquid biopsy diagnostics is aiding personalized cancer therapy and gives hope to improved cancer survival rates Cancer products need to proactively upgrade their definitions to manage claims exposure due to new diagnostics such as liquid biopsy 30

31 Questions? Dr Christoph Nabholz, Head R&D Life & Health, NGIC June 2017

32 32

33 Legal notice 2017 Swiss Re. All rights reserved. You are not permitted to create any modifications or derivative works of this presentation or to use it for commercial or other public purposes without the prior written permission of Swiss Re. The information and opinions contained in the presentation are provided as at the date of the presentation and are subject to change without notice. Although the information used was taken from reliable sources, Swiss Re does not accept any responsibility for the accuracy or comprehensiveness of the details given. All liability for the accuracy and completeness thereof or for any damage or loss resulting from the use of the information contained in this presentation is expressly excluded. Under no circumstances shall Swiss Re or its Group companies be liable for any financial or consequential loss relating to this presentation. 33

Genomic medicine and the insurance industry. Christoph Nabholz, CRO Assembly, 31 May 2018

Genomic medicine and the insurance industry. Christoph Nabholz, CRO Assembly, 31 May 2018 Genomic medicine and the insurance industry Christoph Nabholz, CRO Assembly, 31 May 2018 The risk for disease is multi-factorial and depends on genetic and environmental components Genome Genotype Environment

More information

Challenges of diabetes

Challenges of diabetes Challenges of diabetes Key findings of the Swiss Re Institute and Harvard School of Public Health studies Dr Christoph Nabholz, Head R&D Life & Health In collaboration with % deaths in China % deaths in

More information

A Closer Look at Leading Causes of Death in Guilford County

A Closer Look at Leading Causes of Death in Guilford County 2015 GCDHHS Division of Public Health Data Brief A Closer Look at Leading Causes of Death in Guilford County Highlights Heart disease mortality rates declined 43% from 244.8 deaths per 100,000 in 1995

More information

WHAT IS A GENE? CHROMOSOME DNA PROTEIN. A gene is made up of DNA. It carries instructions to make proteins.

WHAT IS A GENE? CHROMOSOME DNA PROTEIN. A gene is made up of DNA. It carries instructions to make proteins. WHAT IS A GENE? CHROMOSOME GENE DNA A gene is made up of DNA. It carries instructions to make proteins. The proteins have specific jobs that help your body work normally. PROTEIN 1 WHAT HAPPENS WHEN THERE

More information

WHAT IS A GENE? CHROMOSOME DNA PROTEIN. A gene is made up of DNA. It carries instructions to make proteins.

WHAT IS A GENE? CHROMOSOME DNA PROTEIN. A gene is made up of DNA. It carries instructions to make proteins. WHAT IS A GENE? CHROMOSOME E GEN DNA A gene is made up of DNA. It carries instructions to make proteins. The proteins have specific jobs that help your body work normally. PROTEIN 1 WHAT HAPPENS WHEN THERE

More information

The benefit of. knowing. Genetic testing for hereditary cancer. A patient support guide

The benefit of. knowing. Genetic testing for hereditary cancer. A patient support guide The benefit of knowing Genetic testing for hereditary cancer A patient support guide Does cancer run in your family? Cancer is more common in some families. Sometimes cancer is caused by a change in a

More information

Why Test for Hereditary Cancer in Preventive Care?

Why Test for Hereditary Cancer in Preventive Care? Why Test for Hereditary Cancer in Preventive Care? Millions of people are sidelined by cancer. Wouldn't it be worth it for your patients to know their risk? background HEREDITARY (5-10%) More than 1 in

More information

The Future of Cancer. Lawrence Tsui Global Risk Products Actuary Swiss Reinsurance Company Hong Kong. Session Number: WBR8

The Future of Cancer. Lawrence Tsui Global Risk Products Actuary Swiss Reinsurance Company Hong Kong. Session Number: WBR8 Lawrence Tsui Global Risk Products Actuary Swiss Reinsurance Company Hong Kong Session Number: WBR8 Agenda Cancer the basics Cancer past and present Cancer the future CANCER THE BASICS Cancer the basics

More information

CentoCancer STRIVE FOR THE MOST COMPLETE INFORMATION

CentoCancer STRIVE FOR THE MOST COMPLETE INFORMATION CentoCancer STRIVE FOR THE MOST COMPLETE INFORMATION CentoCancer our most comprehensive oncogenetics panel for hereditary mutations Hereditary pathogenic variants confer an increased risk of developing

More information

Genetic testing for hereditary cancer

Genetic testing for hereditary cancer Genetic testing for hereditary cancer THE GENETICS OF HEREDITARY CANCER About half of all men and one-third of all women in the US will develop cancer during their lifetimes. Approximately 5% to 10% of

More information

Research and possible future brain health treatments

Research and possible future brain health treatments Research and possible future brain health treatments Cheryl Brandi, DNSc, ARNP, NP-C Roskamp Institute Clinic July 21, 2016 brandi, roskamp institute 1 The Roskamp Institute Not for profit biomedical research

More information

COUNTY PROFILE: Mobile County, Alabama

COUNTY PROFILE: Mobile County, Alabama COUNTY PROFILE: Mobile County, Alabama US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

GYNplus: A Genetic Test for Hereditary Ovarian and/or Uterine Cancer

GYNplus: A Genetic Test for Hereditary Ovarian and/or Uterine Cancer GYNplus: A Genetic Test for Hereditary Ovarian and/or Uterine Cancer Causes of Hereditary Ovarian and Uterine Cancer uterine cancer ovarian cancer Sporadic 75-90% Sporadic 70-80% Hereditary, 5% Lynch syndrome

More information

Table of Contents / Agenda

Table of Contents / Agenda Future Diagnostics What impact will Liquid Biopsy and other new cancer diagnostic techniques have on the sustainability of Living Benefit products? Lawrence Tsui, Global Products Actuary Table of Contents

More information

A guide to genetic testing for hereditary cancers

A guide to genetic testing for hereditary cancers Cancer Testing Solutions A guide to genetic testing for hereditary cancers The benefit of knowing TM Hereditary cancer genetic testing can play a critical role in managing health Cancer touches millions

More information

Marc Moss, MD President, American Thoracic Society (202) th St, N.W. #300 Washington, DC 20036

Marc Moss, MD President, American Thoracic Society (202) th St, N.W. #300 Washington, DC 20036 Marc Moss, MD President, American Thoracic Society Nmoore@thoracic.org; (202) 296. 9770 1150 18 th St, N.W. #300 Washington, DC 20036 STATEMENT OF THE AMERICAN THORACIC SOCIETY SUBMITTED TO THE HOUSE LABOR,

More information

GYNplus. genetic testing for hereditary ovarian and/or uterine cancer

GYNplus. genetic testing for hereditary ovarian and/or uterine cancer GYNplus genetic testing for hereditary ovarian and/or uterine cancer What Are the Causes of Hereditary Ovarian and Uterine Cancer? uterine cancer ovarian cancer sporadic 70-80% hereditary 5% Lynch syndrome

More information

Cancer changing landscape in Asia

Cancer changing landscape in Asia Cancer changing landscape in Asia Paul Murray EAAC 2013, Singapore Cancer Risk in Asia Current landscape across Asia 2 Cancer incidence varies across Asia 3 Cancer mortality rates varies across Asia 4

More information

COUNTY PROFILE: King County, Washington

COUNTY PROFILE: King County, Washington COUNTY PROFILE: King County, Washington US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Island County, Washington

COUNTY PROFILE: Island County, Washington COUNTY PROFILE: Island County, Washington US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Kings County, New York

COUNTY PROFILE: Kings County, New York COUNTY PROFILE: Kings County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

Critical illness: emerging trends Aisling Kennedy & Nisha Patel Swiss Re. 24 November 2017

Critical illness: emerging trends Aisling Kennedy & Nisha Patel Swiss Re. 24 November 2017 Critical illness: emerging trends Aisling Kennedy & Nisha Patel Swiss Re 24 November 2017 Agenda Product evolution Claim causes Emerging trends Cancer Heart attack Stroke Estimating future trends Future

More information

COUNTY PROFILE: Ontario County, New York

COUNTY PROFILE: Ontario County, New York COUNTY PROFILE: Ontario County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Madison County, New York

COUNTY PROFILE: Madison County, New York COUNTY PROFILE: Madison County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: White County, Georgia

COUNTY PROFILE: White County, Georgia COUNTY PROFILE: White County, Georgia US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Warren County, New York

COUNTY PROFILE: Warren County, New York COUNTY PROFILE: Warren County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Washington County, Arkansas

COUNTY PROFILE: Washington County, Arkansas COUNTY PROFILE: Washington County, Arkansas US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Lee County, Iowa

COUNTY PROFILE: Lee County, Iowa COUNTY PROFILE: Lee County, Iowa US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Livingston County, New York

COUNTY PROFILE: Livingston County, New York COUNTY PROFILE: Livingston County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Greene County, Missouri

COUNTY PROFILE: Greene County, Missouri COUNTY PROFILE: Greene County, Missouri US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Richmond County, New York

COUNTY PROFILE: Richmond County, New York COUNTY PROFILE: Richmond County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Jefferson County, New York

COUNTY PROFILE: Jefferson County, New York COUNTY PROFILE: Jefferson County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Oklahoma County, Oklahoma

COUNTY PROFILE: Oklahoma County, Oklahoma COUNTY PROFILE: Oklahoma County, Oklahoma US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Albany County, New York

COUNTY PROFILE: Albany County, New York COUNTY PROFILE: Albany County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Monroe County, New York

COUNTY PROFILE: Monroe County, New York COUNTY PROFILE: Monroe County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: White County, Arkansas

COUNTY PROFILE: White County, Arkansas COUNTY PROFILE: White County, Arkansas US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Lee County, Arkansas

COUNTY PROFILE: Lee County, Arkansas COUNTY PROFILE: Lee County, Arkansas US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Erie County, New York

COUNTY PROFILE: Erie County, New York COUNTY PROFILE: Erie County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Bronx County, New York

COUNTY PROFILE: Bronx County, New York COUNTY PROFILE: Bronx County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Converse County, Wyoming

COUNTY PROFILE: Converse County, Wyoming COUNTY PROFILE: Converse County, Wyoming US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Suffolk County, New York

COUNTY PROFILE: Suffolk County, New York COUNTY PROFILE: Suffolk County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Rockland County, New York

COUNTY PROFILE: Rockland County, New York COUNTY PROFILE: Rockland County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Seneca County, New York

COUNTY PROFILE: Seneca County, New York COUNTY PROFILE: Seneca County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Kings County, California

COUNTY PROFILE: Kings County, California COUNTY PROFILE: Kings County, California US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Skagit County, Washington

COUNTY PROFILE: Skagit County, Washington COUNTY PROFILE: Skagit County, Washington US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Cortland County, New York

COUNTY PROFILE: Cortland County, New York COUNTY PROFILE: Cortland County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Lake County, California

COUNTY PROFILE: Lake County, California COUNTY PROFILE: Lake County, California US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Taylor County, Texas

COUNTY PROFILE: Taylor County, Texas COUNTY PROFILE: Taylor County, Texas US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Davie County, North Carolina

COUNTY PROFILE: Davie County, North Carolina COUNTY PROFILE: Davie County, North Carolina US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Grant County, West Virginia

COUNTY PROFILE: Grant County, West Virginia COUNTY PROFILE: Grant County, West Virginia US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

Additional Disclosure

Additional Disclosure Additional Disclosure The Genetics of Prostate Cancer: Clinical Implications William J. Catalona, MD Collaborator with decode genetics, Inc. Non-paid consultant with no financial interest or support Northwestern

More information

COUNTY PROFILE: Washington County, Rhode Island

COUNTY PROFILE: Washington County, Rhode Island COUNTY PROFILE: Washington County, Rhode Island US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Harris County, Texas

COUNTY PROFILE: Harris County, Texas COUNTY PROFILE: Harris County, Texas US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Chelan County, Washington

COUNTY PROFILE: Chelan County, Washington COUNTY PROFILE: Chelan County, Washington US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Wilson County, North Carolina

COUNTY PROFILE: Wilson County, North Carolina COUNTY PROFILE: Wilson County, North Carolina US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Walker County, Texas

COUNTY PROFILE: Walker County, Texas COUNTY PROFILE: Walker County, Texas US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Clark County, Illinois

COUNTY PROFILE: Clark County, Illinois COUNTY PROFILE: Clark County, Illinois US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

Be Ready Pack Learn more about how Myriad myrisk is revolutionizing hereditary cancer testing.

Be Ready Pack Learn more about how Myriad myrisk is revolutionizing hereditary cancer testing. Be Ready Pack Learn more about how Myriad myrisk is revolutionizing hereditary cancer testing. Hereditary cancer and you Approximately 5% to 10% of all cancers develop because a person inherited a genetic

More information

Otis Brawley, MD Chief Medical & Scientific Officer American Cancer Society

Otis Brawley, MD Chief Medical & Scientific Officer American Cancer Society Otis Brawley, MD Chief Medical & Scientific Officer American Cancer Society Otis W. Brawley, MD, MACP, FASCO, FACE Chief Medical and Scientific Officer American Cancer Society Professor of Hematology,

More information

COUNTY PROFILE: Collin County, Texas

COUNTY PROFILE: Collin County, Texas COUNTY PROFILE: Collin County, Texas US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Union County, North Carolina

COUNTY PROFILE: Union County, North Carolina COUNTY PROFILE: Union County, North Carolina US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Allegany County, New York

COUNTY PROFILE: Allegany County, New York COUNTY PROFILE: Allegany County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Charles County, Maryland

COUNTY PROFILE: Charles County, Maryland COUNTY PROFILE: Charles County, Maryland US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: New London County, Connecticut

COUNTY PROFILE: New London County, Connecticut COUNTY PROFILE: New London County, Connecticut US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Skamania County, Washington

COUNTY PROFILE: Skamania County, Washington COUNTY PROFILE: Skamania County, Washington US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Tom Green County, Texas

COUNTY PROFILE: Tom Green County, Texas COUNTY PROFILE: Tom Green County, Texas US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Thomas County, Kansas

COUNTY PROFILE: Thomas County, Kansas COUNTY PROFILE: Thomas County, Kansas US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Lake County, Michigan

COUNTY PROFILE: Lake County, Michigan COUNTY PROFILE: Lake County, Michigan US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Lake County, Illinois

COUNTY PROFILE: Lake County, Illinois COUNTY PROFILE: Lake County, Illinois US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Evans County, Georgia

COUNTY PROFILE: Evans County, Georgia COUNTY PROFILE: Evans County, Georgia US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Victoria County, Texas

COUNTY PROFILE: Victoria County, Texas COUNTY PROFILE: Victoria County, Texas US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Saline County, Missouri

COUNTY PROFILE: Saline County, Missouri COUNTY PROFILE: Saline County, Missouri US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Austin County, Texas

COUNTY PROFILE: Austin County, Texas COUNTY PROFILE: Austin County, Texas US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Wright County, Minnesota

COUNTY PROFILE: Wright County, Minnesota COUNTY PROFILE: Wright County, Minnesota US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Henry County, Illinois

COUNTY PROFILE: Henry County, Illinois COUNTY PROFILE: Henry County, Illinois US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Lake County, Ohio

COUNTY PROFILE: Lake County, Ohio COUNTY PROFILE: Lake County, Ohio US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Kittitas County, Washington

COUNTY PROFILE: Kittitas County, Washington COUNTY PROFILE: Kittitas County, Washington US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Saline County, Kansas

COUNTY PROFILE: Saline County, Kansas COUNTY PROFILE: Saline County, Kansas US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Clark County, Indiana

COUNTY PROFILE: Clark County, Indiana COUNTY PROFILE: Clark County, Indiana US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Morris County, New Jersey

COUNTY PROFILE: Morris County, New Jersey COUNTY PROFILE: Morris County, New Jersey US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Christian County, Illinois

COUNTY PROFILE: Christian County, Illinois COUNTY PROFILE: Christian County, Illinois US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Anderson County, Tennessee

COUNTY PROFILE: Anderson County, Tennessee COUNTY PROFILE: Anderson County, Tennessee US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Hamilton County, Ohio

COUNTY PROFILE: Hamilton County, Ohio COUNTY PROFILE: Hamilton County, Ohio US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Johnston County, North Carolina

COUNTY PROFILE: Johnston County, North Carolina COUNTY PROFILE: Johnston County, North Carolina US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Leon County, Florida

COUNTY PROFILE: Leon County, Florida COUNTY PROFILE: Leon County, Florida US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Dallas County, Texas

COUNTY PROFILE: Dallas County, Texas COUNTY PROFILE: Dallas County, Texas US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Scott County, Indiana

COUNTY PROFILE: Scott County, Indiana COUNTY PROFILE: Scott County, Indiana US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Jackson County, Oregon

COUNTY PROFILE: Jackson County, Oregon COUNTY PROFILE: Jackson County, Oregon US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Phillips County, Colorado

COUNTY PROFILE: Phillips County, Colorado COUNTY PROFILE: Phillips County, Colorado US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Columbia County, Georgia

COUNTY PROFILE: Columbia County, Georgia COUNTY PROFILE: Columbia County, Georgia US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Providence County, Rhode Island

COUNTY PROFILE: Providence County, Rhode Island COUNTY PROFILE: Providence County, Rhode Island US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Wilson County, Tennessee

COUNTY PROFILE: Wilson County, Tennessee COUNTY PROFILE: Wilson County, Tennessee US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Henry County, Georgia

COUNTY PROFILE: Henry County, Georgia COUNTY PROFILE: Henry County, Georgia US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Delta County, Michigan

COUNTY PROFILE: Delta County, Michigan COUNTY PROFILE: Delta County, Michigan US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information

COUNTY PROFILE: Imperial County, California

COUNTY PROFILE: Imperial County, California COUNTY PROFILE: Imperial County, California US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Saint Lawrence County, New York

COUNTY PROFILE: Saint Lawrence County, New York COUNTY PROFILE: Saint Lawrence County, New York US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Madison County, North Carolina

COUNTY PROFILE: Madison County, North Carolina COUNTY PROFILE: Madison County, North Carolina US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties

More information

COUNTY PROFILE: Holmes County, Ohio

COUNTY PROFILE: Holmes County, Ohio COUNTY PROFILE: Holmes County, Ohio US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or county-equivalents

More information

COUNTY PROFILE: Clarke County, Alabama

COUNTY PROFILE: Clarke County, Alabama COUNTY PROFILE: Clarke County, Alabama US COUNTY PERFORMANCE The Institute for Health Metrics and Evaluation (IHME) at the University of Washington analyzed the performance of all 3,142 US counties or

More information